Publications
Additional bibliographic information can be found at DBLP
ID: 92/309-1 (don't know how to curate this list).
Semantic Scholar ID:
38746648
(don't know how to add/delete)
Download some papers via ACM Digital Library;
ORCID:
0000-0002-3264-7904
Google Scholar
Profile ID: Dzf46C8AAAAJ (regularly curated).
Conference Patent Journal
Workshop Book
-
Zhen Tan,
Kaize Ding, Ruocheng Guo, and Huan Liu. ``Supervised Graph Contrastive
Learning for Few-shot Node Classification", In Proceedings of the
European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Database (ECML-PKDD2022),
Sept. 19-23, 2022. Grenoble, France.
-
Mansooreh Karami, Ahmadreza David Mosallanezhad, Michelle Mancenido,
and Huan Liu. ```Let's Eat Grandma": Does Punctuation Matter in Sentence
Representation?', In Proceedings of the European Conference on
Machine Learning and Principles and Practice of Knowledge Discovery in
Database (ECML-PKDD2022), Sept.
19-23, 2022. Grenoble, France.
-
Amrita Bhattacharjee*,
Mansooreh Karami*,
and Huan Liu. ``Text Transformations in Contrastive Self-Supervised
Learning: A Review", In Proceedings of the 2022 International Joint
Conferences on Artificial Intelligence (IJCAI-ECAI2022)
Survey Track, July 23 - 29, 2022. Vienna, Austria.
-
Chuxu Zhang,
Kaize Ding, Jundong
Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu. ``Few-Shot
Learning on Graphs: A Survey", In Proceedings of the 2022 International
Joint Conferences on Artificial Intelligence (IJCAI-ECAI2022)
Survey Track, July 23 - 29, 2022. Vienna, Austria.
-
Lu Cheng,
Ahmadreza
(David) Mosallanezhad, Yasin Silva, Deborah Hall and Huan Liu.
``Bias Mitigation for Toxicity Detection via Sequential Decisions", The
45th International ACM SIGIR Conference on Research and Development in
Information Retrieval (SIGIR 2022),
July 11-15, 2022. Madrid, Spain.
-
Lu Cheng,
Ruocheng Guo, Kasim Selcuk Candan, and Huan Liu. ``Effects of
Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and
Implication", 16th AAAI International Conference on Web and Social Media
(ICWSDM 2022), June
6-9, 2022. Atlanta, Georgia and Online.
-
Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu
and Reza Zafarani. ````This is Fake! Shared it by Mistake": Assessing
the Intent of Fake News Spreaders", The ACM
Web Conference 2022,
the Web4Good Speical Track, April 25-29, 2022, Lyon, France and online
-
Ahmadreza
(David) Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle Mancenido
and Huan Liu. ``Domain Adaptive Fake News Detection via Reinforcement
Learning", The ACM
Web Conference 2022,
the Web4Good Speical Track, April 25-29, 2022, Lyon, France and online
-
Zhen Tan, Kaize Ding, Ruocheng Guo and Huan Liu. ``Graph Few-shot
Class-incremental Learning", 15th ACM International Conference on Web
Search and Data Mining (WSDM 2022),
February 27 - March 3, 2022. Tempe, Arizona
-
Lu Cheng, Ruocheng Guo, and Huan Liu. ``Causal Mediation Analysis
with Hidden Confounders", 15th ACM International Conference on Web
Search and Data Mining (WSDM 2022),
February 27 - March 3, 2022. Tempe, Arizona
-
Lu Cheng, Ruocheng Guo, and Huan Liu. ``Estimating Causal Effects of
Multi-Aspect Online Reviews with Multi-Modal Proxies", 15th ACM
International Conference on Web Search and Data Mining (WSDM 2022), Feb
27 - March 3, 2022. Tempe, Arizona
-
Kaize Ding,
Jianling Wang, James Caverlee, and Huan Liu. ``Meta Propagation
Networks for Few-shot Semi-supervised Learning on Graphs", 36th AAAI
Conference on Artificial Intelligence (AAAI-22), February 22 - March 1,
2022. Vancouver, BC, Canada
2021
-
Ahmadreza (David) Mosallanezhad, Kai Shu, and Huan Liu. ``Generating
Topic-Preserving Synthetic News", IEEE International Conference on
Big Data, online, Dec
15-18, 2021.
-
Kaize Ding, Dingcheng
Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, and Huan Liu.
``Learning to Selectively Learn for Weakly-supervised Paraphrase
Generation", The Conference on Empirical Methods in Natural Language
Processing (EMNLP), November 7-11,
2021. Punta Cana, Dominican Republic
-
Kaize Ding, Xuan Shan,
and Huan Liu. ``Towards Anomaly-resistant Graph Neural Networks via
Reinforcement Learning", Short, In Proceedings of the 30th ACM
International Conference on Information and Knowledge Management (CIKM2021),
November 1-5, 2021. Online, Queensland, Australia [335]
-
Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, and K. Selcuk
Candan.``CauseBox: A Causal Inference Toolbox for Benchmarking Treatment
Effect Estimators with Machine Learning Methods" Demo, In Proceedings of
the 30th ACM International Conference on Information and Knowledge
Management (CIKM2021), November 1-5, 2021. Online, Queensland, Australia
-
Mansooreh Karami,
Tahora H. Nazer, and Huan Liu (2021). "Profiling Fake News Spreaders on
Social Media through Psychological and Motivational Factors", In
Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT'21),
August 30 - September 2, 2021, Dublin, Ireland.
-
Lu Cheng, Ahmadreza Mosallanezhad*, Paras Sheth*, and Huan Liu.
``Causal Learning for Socially Responsible AI", In Proceedings of the
2021 International Joint Conferences on Artificial Intelligence (IJCAI2021),
Survey Track, August 21-26, Montreal, Canada.
- Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan. ``A Comparative
Survey: Benchmarking for Pool-based Active Learning", In Proceedings of
the 2021 International Joint Conferences on Artificial Intelligence (IJCAI2021),
Survey Track, August 21-26, Montreal, Canada.
-
Lu Cheng, Ruocheng Guo, Kai Shu, and Huan Liu. ``Causal
Understanding of Fake News Dissemination on Social Media", In
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and
Data Mining (KDD2021). Online
Virtual Event. August 14-18, 2021. [330]
- Lu
Cheng*, Ahmadreza Mosallanezhad*, Yasin Silva, Deborah Hall, and
Huan Liu. ``Mitigating Bias in Session-based Cyberbullying Detection: A
Non-Compromising Approach", In Proceedings of the 59th Annual
Meeting of the Association for Computational Linguistics (ACL-IJCNLP2021),
Bangkok, Thailand. August 1-6, 2021.
- Walaa Alnasser, Ghazaleh Beigi and Huan Liu. ``Privacy Preserving
Text Representation Learning Using BERT", International Conference on
Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior
Representation in Modeling and Simulation (SBP-BRiMS
2021), July 6 - 9, 2021. Online
- Ujun Jeong, Kaize Ding, and Huan Liu. ``FBAdTracker: An Interactive
Data Collection and Analysis Tool for Facebook Advertisements",
International Conference on Social Computing, Behavioral-Cultural
Modeling & Prediction and Behavior Representation in Modeling and
Simulation (SBP-BRiMS 2021),
Demo Track, July 6 - 9, 2021. Online
- Tharindu Kumarage, Amrita Bhattacharjee, Kai Shu, and Huan Liu.
``Data Generation for Neural Disinformation Detection ", International
Conference on Social Computing, Behavioral-Cultural Modeling &
Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS
2021), Working Paper Track, July 6 - 9, 2021. Online
- Bohan Jiang,Mansooreh Karami, Lu Cheng, Tyler Black and Huan Liu.
``Mechanisms and Attributes of Echo Chambers in Social Media",
International Conference on Social Computing, Behavioral-Cultural
Modeling & Prediction and Behavior Representation in Modeling and
Simulation (SBP-BRiMS 2021),
Working Paper Track, July 6 - 9, 2021. Online [325]
- Kaize Ding, Qinghai
Zhou, Hanghang Tong and Huan Liu. ``Few-shot Network Anomaly Detection
with Cross-network Meta-learning". In Proceedings of the
International Web Conference, Ljubljana, Slovenia. April
19-23, 2021.
- Suyu Ge, Lu Cheng,
and Huan Liu. ``Improving Cyberbullying Detection with User
Interaction". In Proceedings of the 2021 International World Wide Web
Conference, Ljubljana, Slovenia. April 19-23, 2021.
- Kai Shu, Yichuan Li,
Kaize Ding and Huan Liu. ``Fact-enhanced Synthetic News Generation". In
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI),
2021.
- Lu Cheng,
Ruocheng Guo, and Huan Liu. ``Long-Term Effect Estimation with Surrogate
Representation”. The 14th ACM International Conference on Web Search and
Data Mining (WSDM2021), March 8-12, 2021. Jerusalem,
Israel.
2020
- Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, and
Huan Liu.``Learning Latent Perception Graphs for Personalized Unknowns
Recommendation". The Second IEEE International Conference on
Cognitive Machine Intelligence (CogMI),
Dec 1-3, 2020. Online [320]
- Adrienne Raglin, Raha Moraffah and Huan Liu. ``Causality and
Uncertainty of Information for Content Understanding". The Second IEEE
International Conference on Cognitive Machine Intelligence (CogMI),
Dec 1-3, 2020. Online
- Kaize Ding, Jianling
Wang, Jundong Li, Dingcheng Li and Huan Liu. “Be More with
Less:Hypergraph Attention Networks for Inductive Text Classification”.
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP),
November 16 20, 2020. Online
- Lu Cheng, Kai
Shu, Siqi Wu, Yasin N. Silva, Deborah Hall, and Huan Liu. ``Unsupervised
Cyberbullying Detection via Time-Informed Deep Clustering". In
Proceedings of the 29th ACM International Conference on Information and
Knowledge Management (CIKM'20), Oct. 19-23, 2020, Online.
- Kaize Ding,
Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, and Huan Liu. ``Graph
Prototypical Networks for Few-shot Learning on Attributed Networks". In
Proceedings of the 29th ACM International Conference on Information and
Knowledge Management (CIKM'20), Oct. 19-23, 2020, Online.
- Kai Shu, Guoqing
Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott
Ruston, and Huan Liu. ``Early Detection of Fake News with
Multi-sourceWeak Social Supervision", Proceedings of The European
Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases (ECML-PKDD
2020). September 14 - 18, 2020, Ghent, Belgium.
pdf,
news report [315]
- Qianru Wang, Bin Guo, Yi Ouyang, Kai Shu, Zhiwen Yu and Huan Liu.
``Spatial Community-Informed Evolving Graphs for Demand Prediction",
Proceedings of The European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD
2020). September 14 - 18, 2020, Ghent, Belgium. pdf
- Ruocheng Guo,
Xiaoting Zhao, Adam Henderson, Liangjie Hong and Huan Liu.``Debiasing
Grid-based Product Search for E-commerce", In Proceedings of 25th ACM
SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD
2020 ADS Track). August 23-27, 2020. San Diego, CA.
pdf
- Jianling Wang, Kaize Ding,
Liangjie Hong, Huan Liu, and James Caverlee. ``Next-Item Recommendation with
Sequential Hypergraphs", Proceedings of 43rd International ACM SIGIR
Conference on Research and Development in Information Retrieval (SIGIR2020).
July 25-30, 2020, Xi'an, China. pdf
- Kaize Ding, Jundong
Li, Nitin Agarwal, and Huan Liu. ``Inductive Anomaly Detection on Attributed
Networks", IJCAI-PRICAI2020.
new date January 2021, Japan.
pdf
- Ruocheng Guo, Jundong
Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, and Huan
Liu. ``IGNITE: A Minimax Game Toward Learning Individual Treatment Effects
from Networked Observational Data", FinTech Track, IJCAI-PRICAI2020.
pdf [310]
- Kai Shu, Liangda Li,
Suhang Wang, Yunhong Zhou, and Huan Liu. ``Joint Local and Global Sequence
Modeling in Temporal Correlation Networks for Trending Topic Detection",
Proceedings of 12th ACM Web Science Conference (WebSci2020).
pdf
- Kai Shu, Deepak Mahudeswaran, Suhang Wang, and Huan Liu. ``Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation", AAAI International Conference on Web and Social Media (ICWSM), June 2020. Atlanta, Georgia.
pdf
- Lu Cheng, Ruocheng
Guo, K. Selcuk Candan, and Huan Liu. ``Representation Learning for Imbalanced
Cross-Domain Classification", SAM International Conference on Data Mining (SDM20),
May 7-9, 2020. Cincinnati, Ohio.
pdf
- Ruocheng Guo, Jundong
Li, and Huan Liu. ``Counterfactual Evaluation of Treatment Assignment
Functions with Networked Observational Data", SAM International Conference
on Data Mining (SDM20),
May 7-9, 2020. Cincinnati, Ohio.
pdf
- Lin Tian, Xiuzhen Zhang, Yan Wang, and Huan Liu. ``Early
Detection of Rumours on Twitter via Stance Transfer Learning",
European Conference on Information Retrieval, April 2020, pp 575 - 588. [305]
- Lu Cheng, Jundong Li,
K. Selcuk Candan, and Huan Liu. ``Tracking Disaster Footprints with Social
Stream Data", In Proceedings of 34th AAAI Conference on Artificial
Intelligence (AAAI-20),
Feb. 07-12, 2020, New York, New York.
pdf
- Ghazaleh Beigi,
Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou and
Huan Liu. ``Privacy-Aware Recommendation with Private-Attribute Protection
using Adversarial Learning", The 13th ACM International Conference on Web
Search and Data Mining (WSDM),
February 3-7, 2020. Houston, Texas.
pdf
- Ruocheng Guo, Jundong
Li and Huan Liu. ``Learning Individual Causal Effects with Networked
Observational Data", The 13th ACM International Conference on Web Search and
Data Mining (WSDM),
February 3-7, 2020. Houston, Texas.
pdf
2019
- Adrienne J Raglin, Dijiang Huang, Huan Liu, James McCabe. ``Smart
CCR IoT: Internet of Things Testbed", 2019 IEEE 5th International
Conference on Collaboration and Internet Computing (CIC),
pp 232-235, December 12, 2019, Los Angeles, CA.
- Lu Cheng, Ruocheng Guo, Raha Moraffah, K.S. Candan, Adrienne Raglin, and
Huan Liu. ``A Practical Data Repository for Causal Learning with Big Data",
BenchCouncil International Symposium on Benchmarking, Measuring and
Optimizing (BENCH19),
November 14-16, 2019. Denver, Colorado. pdf
- Yichuan Li, Ruocheng Guo, Weiying Wang and Huan Liu.``Causal Learning in
Question Quality Improvement", BenchCouncil International Symposium on
Benchmarking, Measuring and Optimizing (BENCH19),
November 14-16, 2019. Denver, Colorado. pdf [300]
-
David (Ahmadreza) Mosallanezhad,
Ghazaleh Beigi, and Huan Liu. ``Deep Reinforcement Learning-based Text
Anonymization against Private-Attribute Inference", Conference on Emprirical
Methods in National Language Processing (EMNLP2019),
November 3-7, 2019. Hong Kong, China. pdf
- Suhang Wang, Charu
Aggarwal, and Huan Liu. ``Beyond word2vec: Distance-graph Tensor
Factorization for Word and Document Embeddings", The 28th ACM
International Conference on Information and Knowledge Management (CIKM2019),
Novemember 3-7, 2019. Beijing, China. pdf
- Limeng Cui, Kai Shu,
Suhang Wang,
Dongwon Lee and Huan Liu. ``dEFEND: A System for Explainable Fake
News Detection", Demo, The 28th ACM International Conference on Information
and Knowledge Management (CIKM2019),
Novemember 3-7, 2019. Beijing, China. pdf
- Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata,
Rajiv Ratn Shah, and Huan Liu. ``#suicidal - A Multipronged Approach to
Identify and Explore Suicidal Ideation in Twitter", The 28th ACM
International Conference on Information and Knowledge Management (CIKM2019),
Novemember 3-7, 2019. Beijing, China. pdf [295]
- Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, and Huan Liu.
``Privacy Preserving Text Representation Learning", Poster, In the
Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT
2019), Sept 17-20, 2019. Hof, Germany.
pdf
- Kai Shu, Xinyi Zhou,
Suhang Wang, Reza Zafarani, and Huan Liu. ``The Role of User Profiles for
Fake news Detection", short paper, In Proceedings of the 2019 IEEE/ACM
International Conference on Advances in Social Networks Analysis and Mining
(ASONAM),
August 27 - 30, 2019. Vancouver, Canada.
pdf
- Jundong Li, Liang Wu,
Ruocheng Guo, Chenghao Liu, Huan Liu. ``Multi-Level network Embedding with
Boosted Low-Rank Matrix Approximation", In Proceedings of the 2019 IEEE/ACM
International Conference on Advances in Social Networks Analysis and Mining
(ASONAM),
August 27 - 30, 2019. Vancouver, Canada. pdf
- Thai Le, Kai Shu, Maria
D. Molina, Dongwon Lee, S. Shyam Sundar, and Huan Liu. ``Using Synthetic
Clickbaits to Improve Prediction and Distinguish between Bot-Generated and
Human-Written Headlines", In Proceedings of the 2019 IEEE/ACM
International Conference on Advances in Social Networks Analysis and Mining
(ASONAM),
August 27 - 30, 2019. Vancouver, Canada.
news,
pdf [290]
- Adrienne Raglin, Anshuman Venkateswaran, and Huan Liu. ``Abductive
Causal Reasoning for Internet of Things”, 5th IEEE International Conference
on Internet of People (IoP2019)
- Towards Collaborative Human and Machine Intelligence, August 19-23, 2019,
Leicester, UK.
- Lu Cheng, Jundong Li,
Yasin N. Silva, Deborah Hall, and Huan Liu. ``PI-Bully: Personalized
Cyberbullying Detection with Peer Influence", In Proceedings of the 2019
International Joint Conferences on Artifical Intelligence (IJCAI2019),
August 10 -16, 2019. Macao, China.
pdf
- Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, and Huan Liu.
``InterSpot: InteractiveSpammer Detection in Social Media", Demo, In
Proceedings of the 2019 International Joint Conferences on Artifical
Intelligence (IJCAI2019),
August 10 -16, 2019. Macao, China.
pdf
- Jundong Li, Ruocheng
Guo, Chenghao Liu, Huan Liu. ``Adaptive Unsupervised Feature Selection on
Attributed Networks ", In Proceedings of 25th ACM SIGKDD Conference
on Knowledge Discovery and Data Mining (KDD
2019), August 4-8, 2019. Anchorage, Alaska. pdf
- Kai Shu, Limeng Cui,
Suhang Wang, Dongwon Lee, and Huan Liu. ``dEFEND: Explainable Fake News
Detection", In Proceedings of 25th ACM SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD 2019),
August 4-8, 2019. Anchorage, Alaska.
pdf
- Tahora H. Nazer,
Matthew Davis, Mansooreh Karami, Leman Akoglu, David Koelle, and Huan Liu.
``Bot Detection: Will Focusing on Recall Cause Overall Performance
Deterioration", International Conference on Social Computing,
Behavior-Culture Modeling, and Prediction (SBP-BRiMS
2019), July 9 - 12, 2019. Washington DC.
pdf
data and code
[285]
- Jayashree Subramanian*, Varun Sridharan*, Kai Shu, and Huan Liu.
``Exploiting Emojis for Sarcasm Detection". International Conference
on Social Computing, Behavior-Culture Modeling, and Prediction (SBP-BRiMS
2019), July 9 - 12, 2019. Washington DC.
pdf
- Kaize Ding, Jundong Li, Rohit Bhanushali, and Huan Liu. ``Deep Anomaly Detection on Attributed Networks
with Graph Convolutional Networks". In Proceedings of the 2019 SIAM International Conferene on Data Mining (SDM19), Calgary, Cananda, May 2-4, 2019.
pdf
- Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah Hall, and Huan Liu. ``Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network".
In Proceedings of the 2019 SIAM International Conferene on Data Mining (SDM19), Calgary, Cananda, May 2-4, 2019.
pdf
- Shuo Yang, Kai Shu,
Suhang Wang, Renjie Gu, Fan Wu, and Huan Liu. ``Unsupervised Fake News
Detection on Social Media: A Generative Approach". In Proceedings of 33rd
AAAI Conference on Artificial Intelligence (AAAI
2019). Honolulu, Hawaii. January 27 - Feruary 1, 2019.
pdf
- Lu Cheng, Jundong Li, Yasin Silva, Debora Hall, and Huan Liu. ``XBully:
Cyberbullying Detection within a Multi-Modal Context". In the Proceedings of
12th ACM International Conference on Web Search and Data Mining (WSDM
2019). February 11-15, 2019. Melbourne, Australia. pdf [280]
- Ghazaleh Beigi,
Ruocheng Guo, Alex Nou, Yanchao Zhang, and Huan Liu. ``Protecting User
Privacy: An Approach for Untraceable Web Browing History and Unambiguous
User Profiles". In the Proceedings of 12th ACM International Conference on
Web Search and Data Mining (WSDM
2019). February 11-15, 2019. Melbourne, Australia.
pdf,
the morning paper
- Kaize Ding, Jundong Li, and Huan Liu. ``Interactive Anomaly Detection on
Attributed Networks". In the Proceedings of 12th ACM International
Conference on Web Search and Data Mining (WSDM
2019). February 11-15, 2019. Melbourne, Australia.
pdf
- Vineeth Rakesh,
Suhang Wang, Kai Shu,
and Huan Liu. ``Linked Variational AutoEncoders for Inferring Substituable
and Supplementary Items". In the Proceedings of 12th ACM International
Conference on Web Search and Data Mining (WSDM
2019). February 11-15, 2019. Melbourne, Australia. pdf
- Kai Shu, Suhang Wang,
and Huan Liu. ``Beyond News Content: The Role of Social Context for Fake
News Detection". In the Proceedings of 12th ACM International Conference on
Web Search and Data Mining (WSDM
2019). February 11-15, 2019. Melbourne, Australia.
pdf,
the morning paper
2018
- Kai Shu,
Suhang Wang,
Thai Le, Dongwon Lee, and Huan Liu. ``Deep Headline Generation for Clickbait
Detection". In the 2018 IEEE International Conference on Data Mining
(ICDM2018). November 17 -20, 2018.
Singapore.
pdf
[275]
- Shan-Yun Teng, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, Huan Liu.
``Interactive Unknowns Recommendation in E-Learning Systems”. In the 2018
IEEE International Conference on Data Mining
(ICDM2018). November 17 -20, 2018. Singapore.
pdf
- Junliang Yu, Min Gao,
Jundong Li, Hongzhi Yin, and Huan Liu. ``Adaptive Implicit Friend
Identification over Heterogeneous Networks for Social Recommendation". In Proceedings of the 26th ACM International
Conference on Information and Knowledge Management (CIKM2018).
October 22 - 26, 2018. Turin, Italy.
pdf
- Yiqi Chen, Tieyun Qian, Huan Liu, and Ke Sun. ```Bridge' Enhanced
Signed Directed Network Embedding". In Proceedings of the 26th ACM International
Conference on Information and Knowledge Management (CIKM2018).
October 22 - 26, 2018. Turin, Italy.
pdf,
data and code
- Liangyue Li, Hanghang Tong, and Huan Liu. ``Towards Explainable
Networked Prediction". Short Paper. In Proceedings of the 26th ACM
International Conference on Information and Knowledge Management (CIKM2018).
October 22 - 26, 2018. Turin, Italy. pdf
- Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, and Huan
Liu. ``Linked Causal Variational Autoencoder for Inferring Paired Spillover
Effects". Short Paper. In Proceedings of the 26th ACM International
Conference on Information and Knowledge Management (CIKM2018).
October 22 - 26, 2018. Turin, Italy.
pdf [270]
- Wen Zhang, Kai Shu,
Suhang Wang, Huan Liu, and Yalin Wang. ``Multimodal Fusion of Brain Networks
with Longitudinal Couplings", In 21th International Conference on Medical
Image Computing and Computer Assisted Intervention (MICCAI 2018). September
16 -20, 2018. Granada, Spain.
pdf
- Kai Shu, Suhang Wang,
Jiliang Tang, Yi Chang, Ping Luo, and Huan Liu. ``Exploiting User Actions
for App Recommendations", Short Paper. In The 2018 IEEE/ACM International
Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018).
August 28 - 31, 2018. Barcelona, Spain.
pdf
- Nur Shazwani Kamarudin, Vineeth Rakesh Mohan,
Ghazaleh Beigi, Lydia Manikonda and Huan Liu. ``A Study of Reddit-User’s Response to Rape", Poster Paper. In
The 2018 IEEE/ACM International Conference on Advances in Social Networks
Analysis and Mining (ASONAM 2018). August 28 - 31, 2018. Barcelona, Spain.
pdf
- Guansong Pang,
Longbing Cao, Ling Chen, and Huan Liu. ``Learning Representations of
Ultrahigh-dimensional Data for Random Distance-based Outlier
Detection", In: 24th SIGKDD Conference on Knowledge Discovery and Data
Mining (KDD2018), August
19-23, 2018. London, UK.
pdf
- Amy Sliva, Kai Shu, and
Huan Liu. ``Using Social Media to Understand Cyber Attack Behavior", In 9th
International Conference on Applied Human Factors and Ergonomics (AHFE
2018), July 21 - 25, 2018. Orlando, Florida.
pdf [265]
- Ruocheng Guo, Jundong Li, and Huan Liu. ``INITIATOR: Noise-contrastive
Estimation for Marked Temporal Point Process ", the 27th International Joint
Conference on Artificial Intelligence and the 23rd European Conference on
Artificial Intelligence (IJCAI-ECAI-18),
July 13-19, 2018. Stockholm, Sweden.
pdf
- Ghazaleh Beigi, Kai
Shu, Yanchao Zhang, and Huan Liu. ``Securing Social Media User Data - An Adversarial
Approach", the 29th ACM Conference on HyperText and Social Media (HT-2018),
July 9 - 12, 2018. Baltimore, Maryland.
pdf
- Liang Wu, Diane Hu,
Liangjie Hong, and Huan Liu. ``Turning Clicks into Purchases: Revenue
Optimization for Product Search in E-Commerce", The 41st International ACM
SIGIR Conference on Research and Development in Information Retrieval (SIGIR2018),
July 8 - 12, 2018. Ann Arbor, Michigan.
pdf
- Kathleen Carley, Guido Cervone, Nitin Agarwal, and Huan Liu. ``Social
Cyber-Security", short paper, International Conference on Social Computing,
Behavior-Culture Modeling, and Prediction (SBP-BRiMS
2018), July 10 - 13, 2018. Washington DC. [260]
- Ghazaleh Beigi and Huan
Liu. ``Similar but Different: Exploiting Users Congruity for Recommendation
Systems", International Conference on Social Computing, Behavior-Culture
Modeling, and Prediction (SBP-BRiMS
2018), July 10 - 13, 2018. Washington DC.
pdf
- Lydia Manikonda,
Ghazaleh Beigi, Huan Liu and Subbarao Kambhampati. ``Twitter for Sparking a
Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social
Media", short paper, International Conference on Social Computing,
Behavior-Culture Modeling, and Prediction (SBP-BRiMS
2018), July 10 - 13, 2018. Washington DC.
pdf
- Kai Shu, Amy Sliva,
Justin Sampson, and Huan Liu. ``Understanding Cyber Attack Behaviors with
Sentiment Information on Social Media", International Conference on
Social Computing, Behavior-Culture Modeling, and Prediction (SBP-BRiMS
2018), July 10 - 13, 2018. Washington DC.
pdf
- Liang Wu, Jundong Li,
Fred Morstatter, Huan Liu. ``Toward Relational Learning with
Misinformation". The 18th SIAM International Conference on Data Mining (SDM
2018), May 3-5, 2018. San Diego, CA.
pdf
- Jundong Li, Chen
Chen, Hanghang Tong, and Huan Liu. ``Multi-Layered Network Embedding".
The 18th SIAM International Conference on Data Mining (SDM
2018), May 3-5, 2018. San Diego, CA.
pdf
[255]
- Jundong Li, Jiliang
Tang, Yilin Wang, Yali Wan, Yi Chang and Huan Liu ``Understanding and
Predicting Delay in Reciprocal Relations". In Proceedings of the 27th
International Conference on World Wide Web (WWW), Lyon, France, Apr 23-27,
2018.
pdf
- Kai Shu, Suhang Wang,
Jiliang Tang, Yilin Wang, and Huan Liu. ``CrossFire: Cross Media Joint
Friend and Item Recommendations", The 11th ACM International Conference on
Web Search and Data Mining (WSDM2018),
Los Angeles, CA. Feb 5-9, 2018.
pdf
- Liang Wu and Huan
Liu. ``Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate", The
11th ACM International Conference on Web Search and Data Mining (WSDM2018),
Los Angeles, CA. Feb 5-9, 2018. pdf
- Jundong Li, Kewei
Cheng, Liang Wu, and Huan Liu. ``Streaming Link Prediction on Dynamic
Attributed Networks ", The 11th ACM International Conference on Web Search
and Data Mining (WSDM2018),
Los Angeles, CA. Feb 5-9, 2018.
pdf
- Suhas Ranganath, Ghazaleh Beigi, and Huan Liu. ``Leveraging
Implicit Contribution Amounts to Facilitate Microfinancing Requests", the
11th ACM International Conference on Web Search and Data Mining (WSDM2018),
Los Angeles, CA. Feb 5-9, 2018.
pdf
[250]
- Xuying Meng, Suhang Wang, Huan Liu, and Yujun Zhang. ``Exploiting Emotion on Reviews for Recommender Systems", The Thirty-Second AAAI International Conference on AI (AAAI2018), New Orleans, Louisiana. Feb 2-7, 2018.
pdf
- Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang. ``Personalized Privacy-Preserving Social Recommendation" The
Thirty-Second AAAI International Conference on AI (AAAI2018),
New Orleans, Louisiana. Feb 2-7, 2018.
pdf
- Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, and Huan Liu. ``Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data" The
Thirty-Second AAAI International Conference on AI (AAAI2018), New Orleans, Louisiana. Feb 2-7, 2018.
pdf
- Jundong Li, Liang Wu, Harsh Dani, and Huan Liu. ``Unsupervised Personalized Feature Selection" The
Thirty-Second AAAI International Conference on AI (AAAI2018), New Orleans, Louisiana. Feb 2-7, 2018.
pdf
2017
- Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, and Huan Liu. ``Attributed Network Embedding for Learning in a Dynamic Environment", In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM2017), Singapore, Nov 6-10, 2017.
pdf
[245]
- Suhang Wang, Charu Aggarwal, Jiliang Tang, and Huan Liu. ``Attributed Signed Network Embedding", In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM2017), Singapore, Nov 6-10, 2017. pdf
- Harsh Dani, Jundong Li, and Huan Liu. ``Sentiment Informed Cyberbullying
Detection in Social Media", The European Conference on Machine Learning &
Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia. September 18 - 22, 2017.
pdf
- Jundong Li, Harsh
Dani, Xia Hu, and Huan Liu. ``Radar: Residual Analysis for Anomaly Detection
in Attributed Networks", In Proceedings of the 26th International Joint
Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, Aug
19-25, 2017. pdf
- Jundong Li, Jiliang
Tang, and Huan Liu. ``Reconstruction-based Unsupervised Feature Selection: An
Embedded Approach", In Proceedings of the 26th International Joint
Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, Aug
19-25, 2017. pdf
- Guansong Pang, Longbing Cao, Ling Chen, and Huan Liu. ``Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection", In Proceedings of the 26th International Joint
Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, Aug
19-25, 2017. pdf [240]
- Kewei Cheng, Jundong Li, and Huan Liu. ``Unsupervised Feature Selection in Signed Social Networks",
In Proceedings of 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Halifax, Canada, Aug 13-17, 2017. pdf
- Suhang Wang, Charu Aggarwal, Huan Liu. ``Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods", In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Halifax, Canada, Aug 13-17, 2017. pdf
-
Liang Wu, Xia Hu, Fred Morstatter, Huan Liu. ``Adaptive Spammer Detection with Sparse Group Modeling'', the 11th AAAI International Conference on Web and Social Media (ICWSM 2017), May 15-18, 2017. Montreal, Canada.
pdf
-
Liang Wu, Xia Hu, Huan Liu. ``Early Identification of Personalized Trending Topics in Microblogging'', poster paper, the 11th
AAAI International Conference on Web and Social Media (ICWSM 2017), May 15-18, 2017. Montreal, Canada.
pdf
-
Liang Wu, Xia Hu, Fred Morstatter, Huan Liu. ``Detecting Camouflaged Content Polluters'', poster paper, the 11th
AAAI International Conference on Web and Social Media (ICWSM 2017), May 15-18, 2017. Montreal, Canada.
pdf [235]
- Robert Trevino, Thomas J. Lamkin, Ross Smith, Steve A. Kawamoto, Huan
Liu. ``Maximum Distance Minimum Error (MDME): A Non-parametric Approach to
Feature Selection for Image-Based High Content Screening Data", IEEE
Intelligent Systems Conference (IntelliSys2017).
September 7-8, 2017. London, United Kingdom.
- Liang Wu, Jundong Li,
Xia Hu, Huan Liu. ``Gleaning Wisdom from the Past: Early Detection of
Emerging Rumors in Social Media", SIAM International Conference on Data Mining (SDM17),
April 27-29, 2017. Houston, Texas.
pdf
- Suhang Wang, Charu
Aggarwal, and Huan Liu. ``Using a Random Forest to Inspire a Neural Network
and Improving on It", SIAM International Conference on Data Mining (SDM17),
April 27-29, 2017. Houston, Texas.
pdf
- Suhang Wang, Yilin
Wang, Jiliang Tang, Charu Aggarwal, Suhas Ranganath, and Huan Liu.
``Exploiting Hierarchical Structures for Unsupervised Feature Selection", SIAM International Conference on Data Mining (SDM17),
April 27-29, 2017. Houston, Texas.
pdf
- Suhang Wang, Jiliang
Tang, Charu Aggarwal, Yi Chang, and Huan Liu. ``Signed Network Embedding in
Social Media", SIAM International Conference on Data Mining (SDM17),
April 27-29, 2017. Houston, Texas.
pdf [230]
- Jundong Li, Liang Wu,
Osmar R. Zaïane and Huan Liu. ``Toward Personalized Relational Learning", SIAM International Conference on Data Mining (SDM17),
April 27-29, 2017. Houston, Texas.
pdf
- Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, and
Huan Liu. ``Exploiting Visual Contents for Point-of-Interest
Recommendation", The 26th International World Wide Web Conference (WWW17),
April 3-7, 2017. Perth, Australia. pdf
- Robert P. Trevino, Philippe Faucon, Thomas J. Lamkin, Steve A. Kawamoto,
Ross Smith and Huan Liu. ``Non-parametric Quality Assessment of High-Content
Screening Assays", the 9h International Conference on Bioinformatics and
Computational Biology (BICOB2017),
March 20-22, 2017. Honolulu, HI. (nominated for Best Paper Award)
- Yilin Wang, Suhang Wang, Jiliang Tang, Guojun Qi, Huan Liu, and Baoxin
Li. ``CLARE: A Joint Approach to Label Classification and Tag
Recommendation", The Thirty First AAAI Conference (AAAI2017) February 4-9, 2017. San Francisco, CA. pdf
- Kewei Cheng, Jundong Li, Jiliang Tang, and Huan Liu. ``Unsupervised Sentiment Analysis with Signed Social Networks", The Thirty First AAAI Conference (AAAI2017) February 4-9, 2017. San Francisco, CA. pdf
[225]
2016
- Jundong Li, Xia Hu, Ling Jian, and Huan Liu. ``Toward Time-Evolving
Feature Selection on Dynamic Networks", In Proceedings of IEEE International
Conference on Data Mining (ICDM2016),
short paper, December 13-15, 2016. Barcelona, Spain.
pdf
- Guansong Pang, Longbing Cao, Ling Chen, and Huan Liu. ``Unsupervised
Feature Selection for Outlier Detection by Modelling Hierarchical
Value-Feature Couplings", In Proceedings of IEEE International Conference on
Data Mining (ICDM2016),
December 13-15, 2016. Barcelona, Spain.
pdf
- Justin Sampson, Fred Morstatter, Liang Wu and Huan Liu. ``Leveraging the
Implicit Structure within Social Media for Emergent Rumor Detection", short
paper,
ACM International Conference of Information and Knowledge Management (CIKM2016),
October 24-28, 2016. Indianapolis, Indiana.
pdf
-
Suhang Wang, Jiliang Tang,
Fred Morstatter and Huan Liu. ``Paired Restricted Boltzmann Machine for
Linked Data", ACM International Conference of Information and Knowledge Management (CIKM2016),
October 24-28, 2016. Indianapolis, Indiana. pdf
-
Suhang
Wang, Jiliang Tang, Charu Aggarwal and Huan Liu. ``Linked Document Embedding
for Classification", ACM International Conference of Information and Knowledge Management (CIKM2016),
October 24-28, 2016. Indianapolis, Indiana. pdf [220]
-
Kewei Cheng, Jundong Li and
Huan Liu. ``FeatureMiner: A Tool for Interactive Feature Selection",
demo
paper, ACM International Conference of Information and Knowledge Management (CIKM2016),
October 24-28, 2016. Indianapolis, Indiana.
pdf
- Fred Morstatter,
Liang Wu, Tahora H. Nazer, Kathleen M. Carley, and Huan Liu. ``A New
Approach to Bot Detection: Striking the Balance Between Precision and
Recall", IEEE/ACM International Conference on Advances in Social Network
Analysis and Mining (ASONAM2016),
August 18-21, San Francisco, CA.
pdf
- Fred Morstatter and Huan Liu. ``A Novel Measure for Coherence in Statistical Topic Models", short paper, Association of Computational Linguistics (ACL), August 7 - 12, 2016. Berlin, Germany.
pdf
- Ling Jian, Jundong Li, Kai Shu, and Huan Liu. ``Multi-Label Informed Feature Selection", In Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI), July 9-15, 2016. New York.
pdf
- Yilin Wang, Suhang
Wang, Jiliang Tang, Huan Liu and Baoxin Li. ``PPP:
Joint Pointwise and Pairwise Image Label Prediction",
CVPR2016, June 27-30, 2016. Las
Vegas, Nevada. pdf [215]
- Ghazaleh Beigi, Jiliang
Tang and Huan Liu. ``Signed Link Analysis in Social Media Networks",
poster paper, The 10th International AAAI Conference on Weblogs and Social
Media (ICWSM2016), May 17
- 20, 2016. Cologne, Germany. pdf
- Suhas Ranganth, Xia
Hu, Jiliang Tang, Suhang Wang and Huan Liu. ``Understanding and Identifying
Rhetorical Questions in Social Media", poster paper, The 10th International
AAAI Conference on Weblogs and Social Media (ICWSM2016),
May 17 - 20, 2016. Cologne, Germany. pdf
- Isaac Jones, Ran Wang, Jiawei Han and Huan Liu.``Community Cores:
Removing Size Bias From Community Detection", poster paper, The 10th
International AAAI Conference on Weblogs and Social Media (ICWSM2016),
May 17 - 20, 2016. Cologne, Germany. pdf
- Pritam Gundecha, Jiliang Tang, Xia Hu and Huan Liu. ``Exploring Personal
Attributes from Unprotected Interactions", poster paper, The 10th
International AAAI Conference on Weblogs and Social Media (ICWSM2016),
May 17 - 20, 2016. Cologne, Germany. pdf
- Jinxue Zhang, Xia Hu, Yanchao
Zhang and Huan Liu. ``Your Age Is No Secret:
Inferring Microbloggers' Ages via Content and Interaction Analysis", The
10th International AAAI Conference on Weblogs and Social Media (ICWSM2016),
May 17 - 20, 2016. Cologne, Germany. pdf [210]
- Ghazaleh Beigi, Jiliang Tang, Suhang Wang, and Huan Liu. ``Exploiting
Emotional Information for Trust/Distrust Prediction". SIAM International
Conference on Data Mining (SDM16),
May 5-7, 2016. Miami, Florida.
pdf
- Jiliang Tang, Charu
Aggarwal, and Huan Liu. ``Node Classification in Signed Social
Networks ". SIAM International Conference on Data Mining (SDM16),
May 5-7, 2016. Miami, Florida.
pdf
- Jundong Li, Xia Hu, Liang Wu, and Huan Liu. ``Robust Unsupervised Feature Selection on
Networked Data". SIAM International Conference on Data Mining (SDM16),
May 5-7, 2016. Miami, Florida. pdf
- Fred
Morstatter, Harsh Dani, Justin Sampson and Huan Liu. ``Can One Tamper
with the Sample API? -Toward Neutralizing Bias from Spam and Bot Content".
Best WWW2016 Poster. The 25th International World Wide Web Conference (WWW16),
April 11 - 15, 2016. Montreal, Canada. pdf
- Jiliang Tang, Charu
Aggarwal, and Huan Liu. ``Recommendation with Signed Social
Networks". The 25th International World Wide Web Conference (WWW16),
April 11 - 15, 2016. Montreal, Canada.
pdf [205]
- Liang Wu, Xia Hu, and Huan Liu. ``Relational Learning with Social Status
Analysis". ACM International Conference on Web Search and Data Mining (WSDM2016), February 22-25, 2016.
San Francisco, CA. pdf
- Suhas Ranganath, Xia Hu, Jiliang Tang, and Huan Liu. ``Understanding and
Identifying Advocates of Political Campaigns on Social Media". ACM International Conference on Web Search and Data
Mining (WSDM2016), February 22-25, 2016.
San Francisco, CA. pdf
- Jiliang Tang, SuhangWang, Xia Hu,
Dawei Yin, Yingzhou Bi, Yi Chang, and Huan Liu. ``Recommendation with Social
Dimensions", The Thirtieth AAAI Conference (AAAI2016), February 12-17, 2016. Phoenix, Arizona. pdf
- Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, and
Huan Liu. ``Predicting Online Protest Participation of Social Media Users",
The Thirtieth AAAI Conference (AAAI2016), February 12-17, 2016. Phoenix, Arizona.
pdf
2015
- Suhas Ranganth, Suhang Wang, Xia Hu, Jiliang Tang, and Huan
Liu.``Finding Time-Critical Replies for Information Seeking in Social
Media". In Proceedings of IEEE International Conference on Data Mining (ICDM2015),
November 14 - 17, 2015. Atlantic City, NJ.
pdf [200]
- Justin Sampson, Fred Morstatter, Reza Zafarani, and Huan Liu.
``Real-time Crisis Mapping using Language
Distributions". Demo. In Proceedings of IEEE International Conference on
Data Mining (ICDM2015),
November 14 - 17, 2015. Atlantic City, NJ. pdf
- Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, and Huan Liu. ``Social
Answer: A System for Finding Appropriate Sites for Questions in Social
Media". Demo. In Proceedings of IEEE International Conference on Data Mining
(ICDM2015), November 14 - 17,
2015. Atlantic City, NJ. pdf
- Robert P. Trevino, Steve A. Kawamoto, Thomas J. Lamkin, and Huan Liu.
``Cell Analytics in Compound Hit Selection of Bacterial Inhibitors". In
Proceedings of IEEE International Conference on Big Data (IEEE
BigData 2015), October 29 - November 1, 2015. Santa Clara, CA. pdf
- Yunzhong Liu, Yi Chen, Jiliang Tang, and Huan Liu. ``Context-Aware
Expeience Extraction from Online Health Forums". IEEE International Conference
on Healthcare Informatics (ICHI2015),
October 21-23, 2015. Dallas Texas. pdf
- Reza Zafarani and Huan Liu. ``10 Bits of Surprise: Detecting Malicious Users with Minimum Information". ACM International Conference of Information and Knowledge Management (CIKM2015), October 19-23, 2015. Melbourne, Australia. pdf [195]
- Jundong Li, Jiliang Tang, Xia Hu, and Huan Liu. ``Unsupervised Streaming Feature Selection in Social Media". ACM International Conference of Information and Knowledge Management (CIKM2015), October 19-23, 2015. Melbourne, Australia.
pdf
- Suhang Wang, Jiliang Tang, and Huan Liu. ``Toward Dual Roles of Users in Recommender Systems". ACM International Conference of Information and Knowledge Management (CIKM2015), October 19-23, 2015. Melbourne, Australia.
pdf
- Fred Morstatter, Jürgen Pfeffer, Katja Mayer and Huan Liu. ``Text, Topics, and Turkers: Evaluation of Statistical Topics", the 26th ACM Conference on Hypertext and Social Media (Hypertext2015), September 1-4, 2015. Cyprus. pdf
- Justin Sampson, Fred Morstatter, Ross Maciejewski and Huan Liu. ``Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage", the 26th ACM Conference on Hypertext and Social Media (Hypertext2015),
September 1-4, 2015. Cyprus. pdf
- Shamanth Kumar, Huan Liu, Sameep Mehta, and L. Venkata Subramaniam. ``Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams", short paper, IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM2015), August 25-28, 2015, Paris, France. pdf
[190]
- Zhen Yang, Isaac Jones, Xia Hu, and Huan Liu. ``Finding the Right Social Media Site for Questions", short paper, IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM2015), August 25-28, 2015, Paris, France. pdf
- Wei Wei, Kenneth Joseph, Huan Liu, and Kathleen Carley. ``The Fragility
of Twitter Social Networks Against Suspended Users". IEEE/ACM International
Conference on Advances in Social Network Analysis and Mining (ASONAM2015), August 25-28, 2015, Paris, France. pdf
- Suhang Wang, Jiliang Tang, Yilin Wang, and Huan Liu. ``Exploring Implicit
Hierarchical Structures for Recommender Systems", the Proceedings of IJCAI
2015, July 25 - 31, 2015. Buenos Aires, Argentina. pdf
- Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, and Baoxin Li.
``Unsupervised Sentiment Analysis for Social Media Images", the Proceedings of IJCAI
2015, July 25 - 31, 2015. Buenos Aires, Argentina. pdf
- Jiliang Tang,
Chikashi Nobata, Anlei Dong, Yi Chang, and Huan Liu. ``Propagation-based
Sentiment Analysis for Microblogging Data", SIAM International Conference on
Data Mining (SDM15), April
30 - May 2, 2015. Vancouver, British Columbia, Canada. pdf
[185]
- Yu Cheng, Ankit Agrawal, Alok Choudhary, and Huan Liu. ``Legislative
Prediction with Dual Uncertainty Minimization from Heterogeneous Information
", SIAM International Conference on Data Mining (SDM15),
April 30 - May 2, 2015. Vancouver, British Columbia, Canada.
- Jiliang Tang, Shiyu Chang, Charu Aggarwal, and Huan Liu.
``Negative Link Prediction in Social Media". ACM International Conference on Web Search and Data Mining (WSDM2015), February 2-6, 2015. Shanghai, China. pdf
- Ashwin Rajadesingan, Reza Zafarani and Huan Liu. ``Sarcasm Detection on Twitter: A Behavioral Modeling Approach". ACM International Conference on Web Search and Data Mining (WSDM2015), February 2-6, 2015. Shanghai, China. pdf
- Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram and Huan Liu.
``Leveraging Social Foci for Information Seeking in Social Media". The 29th
AAAI Conference on Aritifical Intelligence (AAAI2015),
Januray 25- 30, 2015. Austin, TX.
pdf
- Huiji Gao, Jiliang Tang, Xia Hu and Huan Liu.
``Content-Aware Point of Interest Recommendation on Location-Based Social
Networks". The 29th AAAI Conference on Aritifical Intelligence (AAAI2015),
Januray 25- 30, 2015. Austin, TX. pdf
[180]
- Suhang Wang, Jiliang Tang, and Huan Liu. ``Embedded Unsupervised Feature
Selection". The 29th AAAI Conference on Aritifical Intelligence (AAAI2015),
Januray 25- 30, 2015. Austin, TX.
pdf
2014
- Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu. "Social Spammer Detection with Sentiment Information". In Proceedings of the IEEE International Conference on Data Mining (ICDM 2014). December 14-17, 2014. Shenzhen, China. pdf
- Yu Cheng,
Alok Choudhary, Ankit Agrawal, Huan Liu, and Tao Zhang. ``Social Role
Identification via Dual Role Uncertainty Minimization", In Proceedings of
the IEEE International Conference on Data Mining (ICDM 2014).
December 14-17, 2014. Shenzhen, China.
- Xinxin Zhao, HuijiGao,
Lingjun Li, Huan Liu, and Guoliang Xue. “An Efficient Privacy Preserving
Location Based Service System”, IEEE
GLOBECOM2014 - Communication
and Information System Security Symposium, December 8-12, 2014. Austin, TX.
-
Jiliang Tang, Xia Hu, Yi Chang, and Huan Liu. ``Predictability of Distrust with Interaction Data", ACM International Conference of Information and Knowledge Management (CIKM2014), November 3-7, 2014. Shanghai, China. pdf [175]
- Fred Morstatter, Shamanth
Kumar, Joshua Stiefer, Justin Sampson, Daniel Howe, Grant Marshall, David Kahn,
Terrance Williams, Wesley Bowman, and Huan Liu. ``CrisisTracker: Connecting
First Responders to Twitter Analysis", IEEE Global Humanitarian Technology
Conference (GHTC), poster, October 10 -
13, 2014. Silicon Valley/San Jose, CA.
-
Jiliang Tang, Xia Hu, and Huan Liu. ``Is Distrust the Negation of Trust? The Value of Distrust in Social Media", 25th ACM Conference on Hypertext and Social Media (Hypertext2014), 1–4 Sep 2014, Santiago, Chile.
pdf
- Shamanth Kumar, Xia Hu, and Huan Liu. ``A Behavior Analytics Approach to Identifying Tweets from Crisis Regions", short paper, 25th ACM Conference on Hypertext and Social Media (Hypertext2014), 1–4 Sep 2014, Santiago, Chile. pdf
- Mohammad Ali Abbasi, Jiliang Tang, and Huan Liu. ``Scalable Learning of Users' Preferences Using Networked Data", 25th ACM Conference on Hypertext and Social Media (Hypertext2014), 1–4 Sep 2014, Santiago, Chile. pdf [170]
- Mohammad Ali Abbasi, Reza Zafarani and Huan Liu. `` Am I More Similar to My Followers or Followees? Homophily Effect in Directed Online Social Networks", short paper, 25th ACM Conference on Hypertext and Social Media (HT2014), 1–4 Sep 2014, Santiago, Chile. pdf
- Xia Hu, Jiliang Tang, and Huan Liu. "Online Social Spammer Detection".
The 28th AAAI Conference on Artificial Intelligence (2014). July 27-31, 2014. Quebec City, Quebec, Canada.
pdf
- Xia Hu, Jiliang Tang, and Huan Liu. ``Leveraging Knowledge across Media for Spammer Detection in Microblogging". In Proceedings of the 37th Annual ACM SIGIR Conference (SIGIR 2014). July 6-11, 2014. Gold Coast, Australia.
pdf
-
Reza Zafarani and Huan Liu. ``Users Joining Multiple Sites: Distributions and
Patterns", poster. The Eighth International AAAI Conference on Weblogs and
Social Media (ICWSM
2014) , June 2-4, 20114. Ann Arbor, MI. pdf
-
Fred Morstatter, Jurgen Pfeffer, and Huan Liu. ``When is it Biased? Assessing the Representativeness of Twitter's Streaming API", poster paper, The 23rd International World Wide Web Conference, WWW2014 Web Science Track. April
10-11, 2014. Seoul, Korea.
pdf [165]
- Jiliang Tang and Huan Liu.
``Discriminant Analysis for Unsupervised Feature Selection", SIAM International
Conference on Data Mining (SDM14),
April 24 -26, 2014. poster presentation. Philadelphia, Pennsylvania.
pdf
-
Reza Zafarani and Huan Liu.
``Finding Friends on a New Site Using Minimum Information", SIAM
International Conference on Data Mining (SDM14),
April 24 -26, 2014. poster presentation. Philadelphia, Pennsylvania.
pdf
- Ashwin Rajadesingan and Huan Liu. ``Identifying Users with Opposing Opinions in
Twitter Debates", International Conference on Social Computing, Behavioral-Cultural Modeling,
and Prediction (SBP14), April 2-5, 2014.
Washington, D.C.
pdf
2013
- Huiji Gao, Jiliang Tang, Xia Hu, and Huan Liu. ``Modeling Temporal Effects of Human Mobile Behavior on Location-Based Social Networks", ACM International Conference of Information and Knowledge Management (CIKM2013), short paper, October 27 - November 1, 2013. San Francisco, CA. pdf
- Pritam Gundecha, Feng Zhuo, and Huan Liu. ``Seeking Provenance of Information in Social Media", ACM International Conference of Information and Knowledge Management (CIKM2013), short paper, October 27 - November 1, 2013. San Francisco, CA. pdf [160]
- Suhas Ranganath, Pritam Gundecha, and Huan Liu. ``A Tool for Assisting
Provenance Search in Social Media", Demo, ACM International Conference of Information and Knowledge Management (CIKM2013), October 27 - November 1, 2013. San Francisco, CA. pdf
- Huiji Gao, Jiliang Tang, Xia
Hu, and Huan Liu. ``Exploring Temporal Effects for Location Recommendation on
Location-Based Social Networks", the ACM Conference Series on Recommender
Systems (RecSys2013), October
12-16, 2013. Hong Kong, China. pdf
-
Jiliang Tang, Huiji
Gao, Xia Hu, and Huan Liu. ``Context-Aware Review Helpfulness Rating Prediction",
the ACM Conference Series on Recommender Systems (RecSys2013),
October 12-16, 2013. Hong Kong, China. pdf
- Huiji Gao, Xufei Wang,
Jiliang Tang, and Huan Liu. ``Network Denoising in Social Media", the 2013
IEEE/ACM International Conference on Advances in Social Network Analysis and
Mining (ASONAM2013), August
25-28, 2013. Niagara Falls, Canada.
pdf
- Zhuo Feng, Pritam Gundecha,
and Huan Liu. "Recovering Information Recipients in Social Media via
Provenance" the 2013 IEEE/ACM International Conference on Advances in Social
Network Analysis and Mining (ASONAM2013),
short paper, August 25-28, 2013. Niagara Falls, Canada.
pdf [155]
- Reza Zafarani and Huan Liu. ``Connecting Users across Social Media Sites: A Behavioral-Modeling Approach", oral presentation, the Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2013), August 11 - 14, 2013. Chicago, Illinois. pdf
video lecture
- Fred Morstatter, Shamanth Kumar, Huan Liu and Ross Maciejewski. ``Understanding Twitter Data with TweetXplorer", Demo, the Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2013), August 11 - 14, 2013. Chicago, Illinois.
pdf
- Pritam Gundecha, Suhas Ranganath, Zhuo Feng and Huan Liu. ``A Tool for Collecting Provenance Data in Social Media", Demo, the Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2013), August 11 - 14, 2013. Chicago, Illinois.
pdf
- Xia Hu, Jiliang Tang, Yanchao Zhang, and Huan Liu. "Social Spammer Detection in Microblogging", the Proceedings of IJCAI 2013, August 3-9, 2013. Beijing, China. pdf
- Jiliang Tang, Huiji Gao, Xia Hu, and Huan Liu. "Exploiting Local and Global Social Context for Recommendation", the Proceedings of IJCAI 2013, August 3-9, 2013. Beijing, China.
pdf [150]
- Fred Morstatter, Jürgen
Pfeffer, Huan Liu and Kathleen Carley. "Is the Sample Good Enough? Comparing
Data from Twitter's Streaming API with Twitter's Firehose", the Seventh
International AAAI Conference on Weblogs and Social Media (ICWSM
2013) , July 8-10, 20113. Boston, MA. pdf, blog post
- Xia Hu, Jiliang Tang, Huiji
Gao and Huan Liu. "Unsupervised Sentiment Analysis with Emotional Signals", the
22nd International World Wide Web Conference (WWW2013).
May 13 - 17, 2013. Rio de Janeiro, Brazil. pdf
-
Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu. "Unsupervised Feature
Selection for Multi-View Data in Social Media", the 13th SIAM International
Conference on Data Mining (SDM
2013). May 2-4, 2013. Austin, Texas.
pdf
-
Jiliang Tang and Huan Liu. ``CoSelect: Feature Selection with Instance
Selection for Social Media Data'', the 13th SIAM International Conference on
Data Mining (SDM 2013).
May 2-4, 2013. Austin, Texas.
pdf
-
Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu. "ActNeT: Active Learning for
Networked Texts in Microblogging", the 13th SIAM International Conference on
Data Mining (SDM 2013).
May 2-4, 2013. Austin, Texas. pdf [145]
-
Shamanth Kumar, Fred Morstatter, Reza Zafarani, and Huan Liu. "Whom Should I Follow? Identifying Relevant Users in
a Crisis", the 24th ACM Conference
on Hypertext and Social Media (HT2013), 1–3 May 2013, Paris, France.
pdf
New Scientist
- Mohammad Ali Abbasi
and Huan Liu. "Measuring User Credibility in Social Media", poster paper,
International Conference on Social Computing, Behavioral-Cultural Modeling,
and Prediction (SBP13), April 2-5, 2013.
Washington, D.C.
pdf
-
Xia Hu,
Lei Tang, Jiliang Tang, and Huan Liu. "Exploiting Social Relations
for Sentiment Analysis in Microblogging", the Sixth ACM International Conference
on Web Search and Data Mining (WSDM2013).
Best Paper Shortlist. February 4-8, 2013. Rome, Italy.
pdf
-
Jiliang Tang, Huiji Gao, Xia Hu, and Huan Liu. "Exploiting Homophily Effect
for Trust Prediction", the Sixth ACM International Conference on Web Search and
Data Mining (WSDM2013). February 4-8,
2013. Rome, Italy.
pdf.
2012
-
Salem Alelyani and Huan Liu."Supervised Low Rank Matrix Approximation for
Stable Feature Selection". In the 11th International Conference on Machine
Learning and Applications. December, 2012. Boca Raton, Florida.
pdf
[140]
-
Huiji Gao, Jiliang Tang, and Huan Liu. " gSCorr: Modeling Geo-Social Correlations for New Check-ins on Location-Based Social Networks", the 21st ACM Conference on Information and Knowledge Management
(CIKM2012), short paper, October 29 - November 2, 2012. Maui, Hawaii.
pdf.
- Shamanth Kumar, Fred Morstatter, Grant Marshall, Huan Liu, and Ullas Nambiar. "Navigating Information Facets on Twitter (NIF-T)", Demo, the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2012), Beijing, August 12-16, 2012. pdf,
video clip
- Jiliang Tang, Huiji Gao, Huan Liu, and Artish Das Sarma. "eTrust: Understanding Trust Evolution in an Online World," the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2012, Beijing, August 12-16, 2012). pdf
,
video clip
- Jiliang Tang and Huan Liu. "Unsupervised Feature Selection for Linked Social Media Data", the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2012), Beijing, August 12-16, 2012. pdf, video
clip
- Guanfeng Liu, Yan Wang,
Mehmet A. Orgun and Huan Liu, Discovering Trust Networks for the
Selection of Trustworthy Service Providers in Complex Contextual Social
Networks, IEEE 9th International Conference on Web Services (IEEE ICWS
2012), June 24-29, Honolulu, Hawaii, USA. pdf [135]
- Huiji Gao, Jiliang Tang, and Huan Liu. ``Exploring Social-Historical Ties on Location-Based Social Networks", the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM2012), Dublin, Ireland. June 4-6, 2012.
pdf.
- Xia Hu and Huan Liu. ``Social Status and Role Analysis of Palin's Email Network", International Conference on World Wide Web WWW2012,
poster, Lyon, France. April 16-20, 2012.
pdf
- Jiliang Tang and Huan Liu. "Feature Selection with Linked Data in Social Media", the 12th SIAM International Conference on Data Mining (SDM2012), April 26-28, 2012. Anaheim, California.
pdf
- Mohammad-Ali Abbasi, Sun-Ki Chai, Huan Liu, and Kiran Sagoo. "Real-World Behavior Analysis through a Social Media Lens", International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP12), April 3-5, 2012. College Park, MD. Best Student Paper Award (Runner Up). pdf [130]
- Mohammad-Ali Abbasi, Shamanth Kumar, Jose Augusto Andrade Filhoe, and Huan Liu. "Lessons Learned in Using Social Media for Disaster Relief - ASU Crisis Response Game", International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP12),
poster, April 3-5, 2012. College Park, MD.
pdf
- Jiliang Tang, Huiji Gao, and
Huan Liu. "mTrust: Discerning Multi-Faceted Trust in a Connected World",
the 5th ACM International Conference on Web Search and Data Mining (WSDM 2012), February 8-12, 2012. Seattle, Washington.
pdf
2011
- Xufei Wang, Jiliang Tang,
and Huan Liu. "Document Clustering via Matrix Representation", the 11th
IEEE International Conference on Data Mining (ICDM2011),
December 11 - 14, 2011. Vancouver, Canada. pdf
- Salem Alelyani, Lei Wang,
and Huan Liu. "The Effect of the Characteristics of the Dataset on the
Selection Stability", the 23rd IEEE International Conference on Tools with
Artificial Intelligence (ICTAI2011),
November 7 - 9, 2011. Boca Raton, Florida.
pdf
- Jose
Augusto Andrade Filho, Andre Carlos Ponce De Leon Ferreira Carvalho,
Rodrigo Fernandes Mello, Salem Alelyani and Huan Liu. "Quantifying Features
Using False Nearest Neighbors: An Unsupervised Approach", the 23rd IEEE
International Conference on Tools with Artificial Intelligence (ICTAI2011),
November 7 - 9, 2011. Boca Raton, Florida.
pdf
[125]
- Xia Hu, Lei Tang, and Huan
Liu. "Enhancing Accessibility of Microblogging Messages Using Semantic
Knowledge", the 20th ACM Conference on Information and Knowledge Management
(CIKM2011), poster paper, October 24-28, 2011.
Glasgow, UK. pdf
- Xufei Wang, Huan Liu, and
Wei Fan. "Connecting Users with Similar Interests via Tag Network
Inference", the 20th ACM Conference on Information and Knowledge Management
(CIKM2011), short paper, October 24-28, 2011.
Glasgow, UK. pdf
- Pritam Gundecha, Geoffrey
Barbier, and Huan Liu. "Exploiting Vulnerability to Secure User Privacy on a
Social Networking Site", the 17th ACM SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD 2011), August 21-24, 2011, San Diego, CA.
pdf
- Shamanth Kumar, Reza
Zafarani, and Huan Liu. "Understanding User Migration Patterns in Social
Media ", the special track on AI and the Web (AIW) at the Twenty-Fifth
AAAI Conference on Artificial Intelligence (2011).
August 7 - 11, 2011, in San Francisco, CA. pdf
-
Shamanth Kumar,
Geoffrey Barbier, Mohammad Ali Abbasi, and Huan Liu. "TweetTracker: An
Analysis Tool for Humanitarian and Disaster Relief, " Demo, 5th
International AAAI Conference on Weblogs and Social Media (ICWSM-11),
July 17-21, 2011. Barcelona, Spain.
- Anirudh Kondaveeti, George
Runger, Huan Liu and Jeremy Rowe. "Extracting Geographic Knowledge from
Sensor Intervention Data Using Spatial Association Rules", the First IEEE
International Conference on Spatial Data Mining and Geographical Knowledge
Services (ICSDM 2011), June 28 -
July 1, Fuzhou, China. [120]
- Gabriel Pui Cheong Fung,
Fred Morstatter, and Huan Liu. ``Feature Selection Strategy in Text
Classification", The 15th Pacific-Asia Conference on Knowledge Discovery and
Data Mining (PAKDD 2011), May
24-27, 2011, Shenzhen, China.
- Huiji Gao, Xufei Wang,
Geoffrey Barbier, and Huan Liu. Promoting Coordination for Disaster Relief -
From Crowdsourcing to Coordination.
SBP 2011: 197-204
- Geoffrey Barbier, and Huan Liu.
Information Provenance in Social Media.
SBP 2011: 276-283
2010 and earlier
- Xufei Wang, Lei Tang, Huiji Gao, and Huan Liu. Discovering Overlapping Groups in Social
Media. In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), 2010.
- M. Dash and H. Liu,
"Feature Selection for Clustering", pp 110 -- 121, PAKDD 2000, Kyoto, Japan.
April, 2000. Springer. ( ``the
Most Influential Paper" award at PAKDD 2010, 10 years after its publication at PAKDD 2000) postscript.
- Zheng Zhao, Lei Wang, and
Huan Liu. ``Efficient Spectral Feature Selection with Minimum Redundancy".
In Proceedings of the Twenty-Fourth AAAI Conference on Artificial
Intelligence, Atlanta, Georgia, USA, July 11–15, 2010. pdf
- Zheng Zhao, Jiangxin Wang,
Shashvata Sharma, Nitin Agarwal, Huan Liu, and Yung Chang. ``An Integrative
Approach to Identifying Biologically Relevant Genes", SIAM International
Conference on Data Mining (SDM'10), Columbus, Ohio. April 29 - May 1, 2010.
[115] pdf
- Lei Tang, Geoffrey Barbier,
Huan Liu and Jianping Zhang. ``A Social Network Analysis Approach to
Detecting Suspicious Online Financial Activities". In Proceedings of
International Conference on Social Computing, Behavioral Modeling and
Prediction (SBP’10), pages 390-397, March 29 - April 1, 2010.pdf
- Shamanth Kumar, Reza
Zafarani, Mohammad Ali Abbasi, Geoffrey Barbier, Huan Liu. ``Convergence of
Influential Bloggers for Topic Discovery in the Blogosphere". In Proceedings
of International Conference on Social Computing, Behavioral Modeling and
Prediction (SBP'10), pages 406-412, March 29 - April 1, 2010. pdf
- Reza Zafarani, William D.
Cole, Huan Liu. Sentiment Propagation in Social Networks: A Case Study in
Live
- . In Proceedings of International Conference on Social Computing,
Behavioral Modeling and Prediction (SBP'10), pages 413-420, March 29 - April
1, 2010. pdf
- Zheng Zhao, Jiangxin Wang,
Huan Liu, Yun Chang. ``Biological relevance Detection via Network Dynamic
Analysis", 2nd International Conference on Bioinformatics and Computational
Biology (BICoB), Honolulu, Hawaii. March 24 - 26, 2010. pdf Best
Paper Award
-
Nitin Agarwal, Huan Liu,
Shankara Subramanya, John Salerno, and Philip Yu. "Connecting Sparsely
Distributed Similar Bloggers", ICDM'09, Dec, 2009.
pdf [110]
- Lei Tang,
Xufei Wang, and Huan Liu. "Uncovering Groups via Heterogeneous Interaction
Analysis", ICDM'09, Dec, 2009.
pdf
-
Lei Tang and Huan Liu.
"Scalable Learning of Collective Behavior based on Sparse Social
Dimensions", The 18th ACM Conference on Information and Knowledge Management
(CIKM'09),
Hong Kong, Nov. 2-6, 2009. pdf
- Sai T. Moturu, Jian Yang,
and Huan Liu. "Quantifying Utility and Trustworthiness for Advice Shared on
Online Social Media", Symposium on Social Intelligence and Networking, IEEE
International Conference on Social Computing (SocialCom'09), Vancouver,
Canada, Aug 29-31, 2009. pdf
- Sai T. Moturu and Huan Liu,
"Evaluating the Trustworthiness of Wikipedia Articles through Quality and
Credibility", The 5th International Symposium on Wikis and Open
Collaboration, Florida, Oct 25-27, 2009. pdf
- Z. Zhao, L. Sun, S. Yu, H.
Liu, J. Ye. "Multiclass Probabilistic Kernel Discriminant Analysis",
IJCAI'09. pdf [105]
-
L. Tang and H. Liu.
"Relational Learning via Latent Social Dimension",
Poster Paper,
The 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'09),
Paris, France, August 2009. pdf
data and code
-
N. Agarwal, H. Liu, S. Murthy, A. Sen, X. Wang. "A
Social Identity Approach to Identify Familiar Strangers in a Social
Network", Third International Conference on Weblogs and Social Media (ICWSM09),
Full Paper, May 17 - 20, 2009, San Jose, California.
pdf,
video
-
Nitin
Agarwal, Shamanth Kumar, Huan Liu, Mark Woodward. "BlogTrackers:
A Tool for Sociologists to Track and Analyze Blogosphere", Third
International Conference on Weblogs and Social Media (ICWSM09),
Demo Paper, May 17 - 20, 2009, San Jose, California.
pdf
- R.
Zafarani, H. Liu. "Connecting Corresponding Identities
across Communities", Third International Conference on Weblogs and Social
Media (ICWSM09), Poster
Paper, May 17 - 20, 2009, San Jose, California.
pdf
-
N. Agarwal, H. Liu, J.
Salerno, and S. Sundararajan. "Understanding Group
Interaction in Blogosphere: A Case
Study", Second International Conference on Computational Cultural Dynamics (ICCCD08),
pp 9 - 17. September 15-16, 2008.University of Maryland, College Park, Maryland.
pdf. [100]
- L. Tang, H. Liu, J. Zhang,
and Z. Nazeri. "Community Evolution in Dynamic Multi-Mode Networks", KDD'08:
677 - 685.
pdf.
- Z. Zhao, J. Wang, H. Liu, J.
Ye, and Y. Chang. "Identifying Biologically Relevant Genes via Multiple
Heterogeneous Data Sources", KDD'08: 839 - 847.
pdf.
- S. T. Moturu, H. Liu, and W.
Johnson. "Trust Evaluation in Health Information on the World Wide Web",
IEEE Engineering in Medicine and Biology Conference (EMBC '08), August 20 -
24, 2008. Vancouver, Canada. pdf.
- S. Subramanya, B. Li, and H.
Liu. "Robust Integration of Multiple Information Sources by View
Completion"', IEEE International Conference on
Information Reuse and Integration 2008 (IEEE
IRI), pp 398-403, July 13 -15, 2008. Las Vegas, Nevada.
pdf
- N. Agarwal, M. Galan, H.
Liu, S. Subramanya. "Clustering Blogs with Collective Wisdom", 8th
International Conference on Web Engineering (ICWE08),
pp 336 - 339. July 14-18, 2008. Yorktown Heights, NY. pdf
(short paper). [95]
- W.K. Wong, D. W.L. Cheung,
E. Hung, and H. Liu. "Protecting Privacy in Incremental Maintenance for
Distributed Association Rule Mining", Pacific Asia Conference on Knowledge
Discovery and Data Mining (PAKDD), pp 381-392. May 22 - 23, 2008. Osaka, Japan.
pdf.
- N. Agarwal, H. Liu, L. Tang,
and P. Yu. "Identifying Influential Bloggers in a Community", First
International Conference on Web Search and Data Mining (WSDM08), pp 207-218, February
11-12. Stanford, California. pdf, video available.
- S. Moturu, H. Liu, and W.
Johnson. "Healthcare Risk Modeling for Medicaid Patients", International
Conference on Healthcare Informatics,
Best Student Paper Award, pp 126-133. January
28-31, 2008. Madeira, Portugal. pdf.
- S. Moturu, W. Johnson, and
H. Liu. "Predicting Future High-Cost Patients: A Real-World Risk Modeling
Application”, IEEE International Conference on Bioinformatics and
Biomedicine (IEEE BIBM 2007), pp 202-208. San Jose, CA, Nov 2-4, 2007.
pdf.
- N. Agarwal, H. Liu, J.
Salerno, and P. Yu. ``Searching for `Familiar Strangers’ on Blogosphere:
Problems and Challenges”, NSF Symposium on Next-Generation Data Mining and
Cyber-enabled Discovery and Innovation. October 10-12, Baltimore, MD.
pdf. [90]
- G.P.C. Fung, J.X. Yu, H.
Liu, P.S. Yu: Time-dependent event hierarchy construction.
KDD 2007: 300-309
- J. Chen, Z. Zhao, J. Ye,
Huan Liu: Nonlinear adaptive distance metric learning for clustering.
KDD 2007: 123-132
- Z. Zhao and H. Liu.
``Spectral Feature Selection for Supervised and Unsupervised Learning''.
International Conference on Machine Learning (ICML-07), June 20-24, 2007,
Corvallis, Oregon. pdf.
- J. Ye, Z. Zhao, and H. Liu.
``Adaptive Distance Metric Learning for Clustering”. IEEE Computer Society
Conference on Computer Vision and Pattern Recognition (CVPR-07),
June 18-23, 2007, Minneapolis, Minnesota.
- Z. Zhao and H. Liu.
``Semi-supervised Feature Selection via Spectral Analysis", SIAM
International Conference on Data Mining (SDM-07), April 26-28,
2007, Minneapolis,
Minnesoda. pp641 - 646 pdf. [85]
- Z. Zhao and H. Liu. ``Searching
for Interacting Features", The 20th International Joint Conference on
AI (IJCAI-07), January 6-12 Hyderabad, India. pp 1150 - 1155. pdf. Software
available.
- Gabriel P.C. Fung, J. Yu,
H. Wang, D.W. Cheung, and H. Liu. ``A Balanced Ensemble Approach to
Weighting Classifiers for Text Classification", IEEE International
Conference on Dadta Mining (ICDM'06). December
18-22, Hong Kong. pdf.
- L. Tang, J. Zhang, and H.
Liu. ``Acclimatizing Taxonomic Semantics for Hierarchical Content
Classification", The 12th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD2006),
August, 2006. Philadelphia.
pdf.
- Surendra K. Singhi and H.
Liu. ``Feature Subset Selection Bias for Classification Learning",
The 23rd International Conferece on Machine Learning (ICML), June, 2006. Pittsburgh, Pennsylvania.
pp 849 - 856.
pdf.
- Ping Wu, Ji-Rong Wen, H.
Liu, Wei-Ying Ma. ``Query Selection Techniques for Efficient Crawling of
Structured Web Sources'', The 22nd International
Conference on Data Engineering (ICDE), Atlanta, Georgia,
2006. pdf. [80]
- Lei Tang and H. Liu. ``Bias
Analysis in Text Classification for Highly Skewed Data", The Fifth IEEE
International Conference on Data Mining (ICDM), November, 2005. New Orleans,
Louisian. pdf.
- Surendra Singhi and H. Liu.
"Error-Sensitive Grading for Model Combination", Proceedings
of the European Conference on Machine Learning (ECML/PKDD). pp 733-740, October,
2005. Porto, Portugal. pdf.
- Nitin Agarwal, Ehtesham
Haque, Huan Liu, Lance Parsons. "Research Paper Recommender System: A
Subspace Clustering Approach", The 6th International Conference on
Web-Age Information Management (WAIM
2005), pp. 475 - 491, October 11-13, 2005, Hang Zhou, China.
pdf.
- R. Jin, H. Liu. "A
Novel Approach to Model Generation for Heterogeneous Data
Classification", the 19th
International Joint Conference on AI (IJCAI-05), July 30 -
August 5, 2005. Edinburgh,
Scotland. online proceedings
- R. Jin, H. Liu, K. Feng.
"Learning with Labeled Sessions", the 19th International Joint
Conference on AI (IJCAI-05), July 30 - August 5, 2005. Edinburgh, Scotland. online proceedings [75]
- J. Sun, H. Zeng, H. Liu, Y.
Lu, Z. Chen. "CubeSVD: A Novel Approach to Personalized Web
Search", the 14th International
World Wide Web Conference (WWW2005), May 10- 14, Chiba, Japan.
- K. Torkkola, S. Venkatesan,
and H. Liu. "Sensor Sequence Modeling for Driving", the 18th International FLAIRS
Conference, May 15-17, 2005, Clearwater
Beach, Florida. pdf
- M. Galan, H. Liu, K.
Torkkola. “Intelligent Instance Selection of Data Streams for
Smart Sensor Applications”, SPIE Defense & Security Symposium,
Intelligent Computing: Theory and Applications III, Orlando, Florida,
March 28-29, 2005. Volume 5803. pp. 108 - 119. pdf
- Lei Yu, Chitta Baral,
Seungchan Kim, Jessica L Rennert, Dominique Hoelzinger, Michael E Berens,
and Huan Liu. "Discriminative Gene Selection for Brain Tumor
Migration". Pacific Symposium on Biocomputing (PSB), 2005.
(poster)
- D. Banks, G. Dong, H.
Liu, and A. Mandvikar. "Teaching Undergraduate Data Mining in
Engineering Program", Frontiers
in Educations Conference, October 20-23, 2004, Savannah, Georgia.
pdf from
FIE04 or draft pdf
- K. Torkkola, S. Venkatesan,
and H. Liu. "Sensor Selection for Maneuver Classification", The 7th IEEE International
Conference on Intelligent Transportation Systems (ITSC2004), October
3-6, 2004, Loews L'Enfant Plaza Hotel, Washington DC.
pdf
[70]
- R. Jin and H. Liu.
"SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous
Data", The 15th European
Conference on Machine Learning, September 20-24, 2004, Pisa, Italy.
pdf
- L. Yu and H. Liu.
"Redundancy Based Feature Selection for Microarry Data", SIGKDD,
KDD 2004, August, 22 -
25, 2004. Seattle, Washington. pdf
- H. Liu, A. Mandvikar, and
J. Mody. "An Empirical Study of Building Compact Ensembles for
Classification", The Fifth
International Conference on Web-Age Information Management (WAIM), 15
- 17 July 2004, Dalian,
China. pdf
- R. Jin and H. Liu.
"Robust Feature Construction for Support Vector Machines", International
Conference on Machine Learning, 4 - 8 July, 2004, Banff, Alberta, Canada. pdf
- A. Mandvikar, H. Liu, and
H. Motoda. "Compact Dual Ensemble for Active Learning", The Eighth Pacific-Asia
Conference on Knowledge Discovery and Data Mining (PAKDD) May 26 - 28,
2004, Sydney, Australia. pdf [65]
- A. Mandvikar and H. Liu.
"Class-Specific Ensembles for Active Learning in Digital
Imagery", SIAM
International Conference on Data Mining 2004, April 22-24, 2004. pp
412-421. Lake Buena Vista,
Florida. pdf
- P. Foschi, D. Kolippakkam,
and H. Liu, "Feature Selection for Image Data via Learning", IMMCN 2003, September
26-30, 2003. pp 1299-1302. (Invited) North Carolina,
USA.
ps
- L. Yu and H. Liu,
"Efficiently Handling Feature Redundancy in High-Dimensional
Data". In Proceedings of The Ninth ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining, Washington, D.C.
pp 685-690. August 24 - 27, 2003. pdf. Software
available.
- L. Yu and H. Liu.
"Feature Selection for High-Dimensional Data: A Fast
Correlation-Based Filter Solution". In Proceedings of The Twentieth
International Conference on Machine Leaning (ICML-03), Washington, D.C. pp. 856-863. August
21-24, 2003. pdf [60]
- H. Liu, A. Mandvikar, P.
Foschi, and K. Torkkola, "Active Learning with Ensembles for Image
Mining", International Joint
Conference on AI (IJCAI'2003). Acapulco,
Mexico.
pp. 1435-1436. August 9-15, 2003. ps
- H. Liu, H. Lu, and L. Yu,
"Active Sampling: An effective Approach to Feature Selection", SIAM International Conference
on Data Mining, pp. 244-248. San
Francisco, May, 2003. ps
- H. Liu, L. Yu, M. Dash, and
H. Motoda, "Active Feature Selection Using Classes", PAKDD03, Seoul, Korea.
pp. 474-485. April 30 - May 2, 2003. ps
- S.S. Yau, H. Liu, D. Huang,
Y. Yao,
Situation-aware personalized information retrieval for mobile Internet,
Proceedings of the 27th Annual International Conference on Computer Software
and Applications Conference, 2003. COMPSAC 2003, 3-6 Nov. 2003
- H. Nguyen, P. Velamuru, D.
Kolippakkam, H. Davulcu and H. Liu, "Mining `Hidden Phrase'
Definitions from the Web", Proceedings of The Fifth Asia Pacific Web Conference,
27-29 Sept., 2003. pp. 156 - 165. Xi'an China.
[55] pdf
- D. Manoranjan, K. Choi, P.
Scheuermann, H. Liu, "Feature Selection for Clustering - A Filter
Solution", Proceedings of ICDM 2002. Dec 9 - 12,
2002, p. 115-122, Japan.
postscript.
- H. Liu, H. Motoda, and L.
Yu, "Feature Selection with Selective Sampling", Proceedings of the 19th International
Conference on Machine Learning. July 8-12, 2002. Sydney,
p. 395-402, Australia.
postscript.
- W.M. Campbell
and H. Liu, "Using Feature Transformation and Selection with
Polynomial Networks," Proceedings of the SPIE - The International
Society for Optical Engineering vol.4390 p.175-86. Publisher: SPIE-Int.
Soc. Opt. Eng. Applications and Science of Computational Intelligence IV. Orlando, Florida,
April 16-20, 2001. pdf
- M. Dash, K. L. Tan, and H.
Liu: "Efficient Yet Accurate Clustering". (ICDM-2001), IEEE
International Conference on Data Mining, November 2001. pp 99--106.
- B. Gu, B. Liu, F. Hu, and
H. Liu, "Efficiently Determining the Starting Sample Size for
Progressive Sampling", Proceedings of the 12th European Conference on
Machine Learning, Machine
Learning: ECML-2001, L. De Raedt, P. Flach (Eds.) Sept 3 - 7, 2001. Freiburg, Germany. pp 192--202,
Springer-Verlag. [50] pdf.
- B. Gu, F. Hu, H. Liu,
"Modeling Classification Performance for Large Data Sets",
WAIM'2001, Proceedings of the Second International Conference of Web-Age
Information Management, Xi'an, China. July, 2001. pp 317--328. postscript.
- C. Wen, H. Liu, W.X. Wen,
J. Zheng, "A Distributed Hierarchical Clustering System for Web
Mining", WAIM'2001, Proceedings of the Second International
Conference of Web-Age Information Management, Xi'an, China. Jyly, 2001. pp
103--113. postscript.
- M. Dash, H. Liu, and X. Xu,
"'1 + 1 > 2': Merging Distance and Density Based Clustering",
the 7th International Conference on Database Systems for Advanced
Applications, DASFAA 2001, pages 32-39, HongKong. IEEE Computer Society
Publisher. April, 2001. postscript.
- M. Dash and H. Liu,
"Efficient Hierarchical Clustering Algorithms using Partially
Overlapping Partitions", the 5th Pacific Asia Conference on Knowledge
Discovery and Data Mining, PAKDD 2001, HongKong. April 2001. pp 495--506. postscript.
- D.P. Makawita, K.L. Tan,
and H. Liu, "Sampling from Databases Using B+ Trees", Conference
on Information and Knowledge Management (CIKM 2000), pp 158 -- 164, Washington, DC,
November 6-11, 2000 [45]. postscript.
- F. Hussain, H. Liu, E.
Suzuki, and H. Lu, "Exception Rule Mining with a Relative
Interestiness Measure", pp 86 -- 97, PAKDD 2000, Kyoto, Japan.
April, 2000. Springer. postscript.
- M. Dash, H. Liu and H.
Motoda, "Consistency Based Feature Selection", pp 98 -- 109,
PAKDD 2000, Kyoto, Japan. April, 2000. Springer. postscript.
- M. Dash and H. Liu,
"Feature Selection for Clustering", pp 110 -- 121, PAKDD 2000, Kyoto, Japan.
April, 2000. Springer. ( ``the
Most Influential Paper" award 10 years later at PAKDD 2010) postscript,
pdf.
- N.A. Syed, H. Liu, and K.K. Sung, "A Sudy of
Support Vectors on Model Independent Example Selection",
International Conference on Knowledge Discovery & Data Mining
(KDD'99), pp 272--276, August 15-18, 1999, San Diego, CA, USA. postscript.
- N.A. Syed, H. Liu, and K.K. Sung, "Handling
Concept Drifts in Incremental Learning with Support Vector Machines",
International Conference on Knowledge Discovery & Data Mining
(KDD'99), pp 317--321, August 15-18, 1999, San Diego, CA, USA. postscript[40].
- K. Chen and H. Liu
"Towards an Evolutionary Algorithm: A Comparison of Two Feature
Selection Algorithms", Congress on Evolutionary Computation, pp
1309--1313, July 6-9, 1998, Washington
D.C., USA.
postscript.
- H. Liu, H. Lu, L. Feng, and F. Hussain,
"Efficient Search of Reliable Exceptions", Proceedings of The
Third Pacific Asia Conference on Knowledge Discovery and Data Mining
(PAKDD'99), Beijing, China, pp 194--204, April
26-28, 1999. Springer-Verlag. postscript.
- H. Liu and R. Setiono, "Feature
Transformation and Multivariate Decision Tree Induction", Proceedings
of The First International Conference on Discovery Science (DS'98), Fukuoka, Japan
December 14-16, 1998. pp 279--290, Springer-Verlag. postscript.
- M. Dash, H. Liu,
"Hybrid Search of Feature Subsets", PRICAI'98, 22-27 November,
1998. Singapore.
pp 238-249, Springer-Verlag. postscript.[35]
- R. Setiono and H. Liu,
``Framentation Problem and Automated Feature Construction'', Proceedings
of the 10th IEEE International Conference on Tools with AI (ICTAI'98), pp
208--215, November 10-12, 1998. Taipei,
Taiwan.
IEEE Computer Society. postscript.
- K.S. Ng, H. Liu, and
H.B. Kwah, ``A Data Mining Application: Customer Retention'', Proceedings
ACM-SIGMOD International Conference on Management of Data (SIGMOD'98),
June 1-4, 1998. Seattle,
Washington, USA.
- H. Liu, H. Motoda,
and M. Dash, ``A
Monotonic Measure for Optimal Feature Selection'', 10th European
Conference on Machine Learning (ECML-98), April 21-24, 1998. Chemnitz, Germany. pp 101--106,
Springer-Verlag. postscript.
- H. Liu, H. Lu, and J. Yao, ``Identifying
Relevant Databases for Multidatabase Mining'', the 2nd Pacific-Asia
Conference on Knowledge Discovery and Data Mining (PAKDD'98), April 15-18,
1998. Melbourne, Australia. pp 210--221, Springer-Verlag.
postscript.
- H. Liu and R. Setiono, ``Scalable
Feature Selection for Large Sized Databases'', the Fourth World Congress on
Expert Systems (WCES'98), March 1998, Mexico City, Mexico.
pp 521--528. postscript.
- M. Dash, H. Liu, and J. Yao, ``Dimensionality
Reduction of Unsupervised Data'', the Ninth IEEE International Conference
on Tools with AI (ICTAI'97), Nov., 1997, Newport Beach, California.
postscript.
[30]
- R. Setiono and H. Liu,
``NeuralLinear: A System for Extracting Oblique Decision Rules from Neural
Networks'', the 9th European Conference on Machine Learning (ECML'97),
23-26 April, 1997. Prague,
Czech Republic.
postscript.
- J. Yao and H. Liu,
``Searching Multiple Databases for Interesting Complexes'', the 1st
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97),
23-24 Feb., 1997, pp. 198-210. Singapore. postscript.
- H. Liu and R. Setiono, ``A
probabilistic approach to feature selection - A filter solution'', the
13th International Conference on Machine Learning (ICML'96), July 1996,
pp. 319-327. Bari, Italy. postscript.
- H. Liu and R. Setiono, ``Feature
selection and classification - A probabilistic wrapper approach'', the 9th
International Conference on Industrial & Engineering Applications of
Artificial Intelligence & Expert Systems'' (IEA-AIE'96), June 1996,
pp. 419-424. Fukuoka, Japan. postscript.
- H. Liu and R. Setiono,
``Chi2: Feature selection and discretization of numeric attributes'', the
7th IEEE International Conference on Tools with Artificial Intelligence
(TAI'95), Nov.1995, pp. 388-391. Washington
D.C., USA.
postscript.
[25]
- H. Liu and S.T. Tan, ``X2R: A Fast
Rule Generator'', IEEE International Conference on Systems, Man and
Cybernetics (SMC'95), Oct. 1995, pp. 631-1635. Vancouver, Canada.
postscript.
- H. Lu, R.Setiono and H. Liu,
``NeuroRule: A Connectionist Approach to Data Mining'', International
Conference on Very Large Databases (VLDB'95), Oct. 1995, Zurich, Switzerland.
postscript.
- R. Setiono and H. Liu, ``Understanding
Neural Networks via Rule Extraction'', International Joint Conference on
Artificial Intelligence (IJCAI-95), Aug. 1995, Montreal, Canada
.
postscript, pdf
- W.X. Wen and H. Liu, ``A
Feature Weighting Method for Inductive Learning'', The 3rd Pacific Rim
International Conference on Artificial Intelligence, August 15-18, 1994, Beijing, China. pp 338-344
- H. Liu and W.X. Wen,
``Concept Learning through Feature Selection'', First Australian and New Zealand Conference on Intelligent
Information Systems, 1-3 December, 1993, Perth, Western Australia.
[20]
- W.X. Wen, H. Liu and A.
Jennings, ``Supervised Learning for Self-Generating Neural Trees'', 1993
World Congress on Neural Networks, Portland,
Oregon, USA.
- W.X. Wen, H. Liu and A.
Jennings, ``Learning a Neural Tree'', the International Joint Conference
on Neural Networks, IJCNN'92, November 3-6, 1992, Beijing, China.
pp II-751 - II-756
- W.X. Wen, A. Jennings and
H. Liu, ``A Performance Analysis of Self-Generating Neural Trees'', ibid.
pp II-283 - II-288
- H. Liu, C. Rowles and C.
Leckie, ``Evolving a Design'', the First Singapore
International Conference on Intelligent Systems, Sept. 28-Oct. 2, 1992, Singapore.
pp 337 - 342
- ``Joint Concept Formation
and Abstraction'', (with W. Wen), the Pacific Rim International Conference
on Artificial Intelligence, September 15-18, 1992, Seoul, South Korea.
[15]
- ``Planning with
Intentions'', (with C. Rowles and G.A. Bekey), ibid.
- ``Self-Generating Neural
Networks and Their Applications to Telecommunications'', (with W. Wen and
A. Jennings), the International Conference on Communication Technology,
September 16-18, 1992, Beijing,
China.
- ``Self-Generating Neural
Networks'', (with W. Wen and A. Jennings), the International Joint
Conference on Neural Networks, June 7-11, 1992, Baltimore, U.S.A.
pp IV-779 - IV-784.
- ``Design, Evaluation and
Redesign - Handling the ad-hocness of a knowledge-based design system'',
(with C.D. Rowles and W. Wen), the IEEE Conference on AI Applications,
March 1992, California, U.S.A.
- ``Knowledge-based Models of
Human and Robot Grasping'', (with G.A. Bekey, T. Iberall and R. Tomovic),
IFAC Symposium on Systems Identification, July, 1991, Budapest, Yugoslavia.
[10]
- ``Automating the Design of
Telecommunication Distribution Networks'', (with C. Rowles, C. Leckie and
W. Wen), the First International Conference on Artificial Intelligence in
Design, 25-27 June, 1991, Edinburgh,
UK.
- ``Optimizing
Knowledge-based Systems Design'', (with W. Wen and C.D. Rowles), the IEEE
Conference on AI Applications, February, 1991, Miami, Florida, U.S.A.
- ``Intention Attributes in
Planning'' (with C.D. Rowles), the Pacific Rim International Conference on
Artificial Intelligence'90, November, 1990, Nagoya, Japan.
- ``Integrating Design
Principles in Automated Layout Design'' (with C.D. Rowles and C. Leckie),
the International Conference on Automation, Computer Vision and Robotics,
September, 1990, Singapore.
pp 180 - 184
- ``The Multi-dimensional
quality of task requirements for dextrous robot hand control'' (with T.
Iberall and G.A. Bekey), the IEEE International Conference on Robotics and
Automation, May, 1989, Scottsdale,
Arizona. [5]
- ``Building a generic
architecture for robot hand control'' (with T. Iberall and G.A. Bekey),
the IEEE International Conference on Neural Networks, July, 1988, San Diego, California.
- ``Robot hand-eye
coordination: shape description and grasping'', (with K. Rao, G. Medioni
and G.A. Bekey) the IEEE International Conference on Robotics and
Automation, April, 1988, Philadelphia,
Pennsylvania.
- ``Reasoning about grasping
from task description'' (with T. Iberall and G.A. Bekey), Advances in
Intelligent Robotics Systems, SPIE's Cambridge Symposium on Optical and
Optoelectronic Engineering, November, 1988, Cambridge, Massachusetts.
- ``Learning activities in
robot hand control'' (with G.A. Bekey), the Robotics and Automation
Symposium, the International Association of Science and Technology for
Development, May, 1987, Santa
Babra, California.
-
Jundong Li, Xia Ben Hu, Jiliang Tang, and Huan Liu.
``Systems and methods for unsupervised
streaming feature selection in social media",
US Patent
10,942,939; Date of Patent: 2021-03-09
-
Pritam Gundecha, Jiliang Tang, and Huan Liu. ``Systems
and methods for predicting personal attributes based on public
interaction data".
United States Patent No. 10,665,764; Date of Patent: May 26, 2020.
-
Reza Zafarani and Huan Liu. ``User Identification
Across Social Media". United States Patent
No. 9,544,381; Date of
Patent: January 10, 2017.
-
Hua-Jun Zeng, Jian-Tao Sun, Wei-Ying Ma, Zheng Chen,
Benyu Zhang, and Huan Liu. ``Augmenting User, Query, and Document
Triplets Using Singular Value Decomposition.
Patent No.: US 7,747,618, B2; Date of Patent: Jun. 29, 2010.
Conference Patent Journal
Workshop Book
-
Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu. ``CausalSE:
Understanding Varied Spatial Effects with Missing Data Towards Adding New
Bike-sharing Stations", ACM Trans. on Knowledge Discovery in Data (TKDD).
Online:17 May 2022 .
https://doi.acm.org?doi=3536427
-
Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, and Huan Liu.
``Characterizing multi-domain false news and underlying user effects on
Chinese Weibo", Information Processing and Management, Elsevier, Vol: 59,
Issue 4, July 2022.
https://doi.org/10.1016/j.ipm.2022.102959
-
Qianru Wang, Bin Guo, Lu Cheng,
Liang Wang, Zhiwen Yu, and Huan Liu. ``Learning
Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands", IEEE
Internet of Things Journal, Vol:9, Issue: 9, May 1, 2022. DOI:
10.1109/JIOT.2021.3115174
-
Haiyang Yu, Zhen Yang, Shanshan Tu, Muhammad Waqas, and
Huan Liu. ``"Blockchain-Based Offline Auditing for the Cloud in Vehicular
Networks", IEEE Trans on Network and Service Management (TNSM), forthcoming
2021
-
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit
Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, and Huan Liu.
``Causal Inference for Time Series Analysis: Problems, Methods and
Evaluation", Knowledge and Information Systems (KAIS),
Vol: 63, Issue: 12, pp 3103 -– 3138. Nov. 2021.
https://doi.org/10.1007/s10115-021-01619-8.
pdf
-
Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, and Huan Liu. ``Cross-Domain
Graph Anomaly Detection". IEEE Trans Neural Netw Learn Syst. 2021 Oct 1;PP.
doi: 10.1109/TNNLS.2021.3110982. Epub ahead of print. PMID: 3459655,
DOI:
10.1109/TNNLS.2021.3110982
- Qianru Wang, Bin Guo, Yi Ouyang, Lu Cheng, Liang Wang, Zhiwen Yu, and
Huan Liu. ``Learning Shared Mobility-aware Knowledge for Multiple Urban
Travel Demands," in IEEE Internet of Things Journal, DOI:
10.1109/JIOT.2021.3115174.
-
Lu Cheng, Kush R. Varshney, and Huan Liu. ``Socially
Responsible AI Algorithms: Issues, Purposes, and Challenges", Journal of
AI Research, Vol: 71, pp 1137-1181, August 2021 [140]
- Yalin Wang, Wen Zhang, Brittany Blair Braden, Gustavo Miranda, Kai Shu,
Suhang Wang, and Huan Liu. ``Integrating Multimodal and Longitudinal
Neuroimaging Data with Multi-Source Network Representation Learning",
Neuroinformatics, forthcoming
- Kai Shu,
Ahmed Hassan Awadallah,
Susan Dumais,
and Huan Liu. ``Detecting Fake News with Weak
Social Supervision", IEEE Intelligent Systems, Vol:36, Issue: 4,
pages: 96-103. July/August 2021, DOI:
10.1109/MIS.2020.2997781.
pdf,
news report
- Liangtian Wan, Yuyuan Yuan, Feng Xia, and Huan Liu. ``To Your Surprise:
Identifying Serendipitous Collaborators," IEEE Trans on Big Data, Vol: 7,
Issue: 3, pp: 574-589, DOI:
10.1109/TBDATA.2019.2921567. July 2021
-
- Haiyang Yu, Qi Hu, Zhen Yang, and Huan Liu. ``"Efficient Continuous
Big Data Integrity Checking for Decentralized Storage", IEEE Transactions on
Network Science and Engineering, Vol: 8, Issue: 2, pp: 1658-1673, DOI:
10.1109/TNSE.2021.3068261, April-June 2021 [135]
- Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, and Huan Liu. ``Graph Learning: A
Survey", IEEE Transactions on Artificial Intelligence (TAI), Vol: 2,
Issue: 2, pages: 109-127, DOI:
10.1109/TAI.2021.3076021.
http://arxiv.org/abs/2105.00696. April 2021
-
Lu Cheng, Ruocheng Guo, Yasin N Silva, Deborah Hall, and Huan Liu. ``Modeling
Temporal Patterns of Cyberbullying Detection with Hierarchical Attention
Networks'',
- Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong.
``Incremental
one-class collaborative filtering with co-evolving side networks",
Knowledge and Information Systems 63 (1), 105-124
-
Lu Cheng, Y. N. Silva, D. Hall and H. Liu,
``Session-based
Cyberbullying Detection: Problems and Challenges," in IEEE Internet
Computing, March/April 2021. Vol: 25, Issue: 2, pages: 66-72, doi: 10.1109/MIC.2020.3032930.
2020
- Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu. ``Collaborative
Filtering with Network Representation Learning for Citation
Recommendation", IEEE Transactions on Big Data (TBD), 2020/10.
DOI:
10.1109/TBDATA.2020.3034976 [130]
- Kai Shu, Amrita
Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh
Karami, and Huan Liu. ``Combating Disinformation in A Social Media Age",
WIREs Data Mining and Knowledge Discovery, August 15, 2020. [130]
https://doi.org/10.1002/widm.1385
Wiley Top
Downloaded Article
- Ruocheng Guo, Lu Cheng,
Jundong Li, P. Richard Hahn, and Huan Liu. ``A Survey of Learning Causality
with Data: Problems and Methods", ACM Computing Surveys (CSUR). July
2020, pdf,
Article No.: 75
https://doi.org/10.1145/3397269
-
Raha Moraffah, Mansooreh
Karami, Ruocheng
Guo, Adrienne
Raglin, and
Huan Liu. ``Causal Interpretability for Machine Learning - Problems,
Methods and Evaluation", ACM SIGKDD Explorations Newsletter, vol 22, no. 1, pp18 - 33. June 2020.
https://doi.org/10.1145/3400051.3400058
pdf
- Kai Shu, Deepak
Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. ``FakeNewsNet: A Data
Repository with News Content, Social Context and Dynamic Information for
Studying Fake News on Social Media", Journal of Big Data, Mary Ann Liebert,
Inc. Publishers, 8(3), pp 171 - 188.
pdf
- Yufeng Yu, Dingsheng Wan, Qun Zhao, and Huan Liu. ``Detecting Pattern
Anomalies in Hydrological Time Series with Weighted Probabilistic Suffix
Trees", Water 2020, 12, 1464;
https://doi.org/10.3390/w12051464.
pdf
[125]
- Hai Huang and Huan Liu. ``Feature selection for hierarchical
classification via joint semantic and structural information of labels",
Knowledge-Based Systems, Elsevier, Vol 195, May 2020.
https://doi.org/10.1016/j.knosys.2020.105655
- Qun Zhao, Yuelong Zhu, Kai Shu, Dingsheng Wan, Yufeng Yu, Xudong Zhou,
Huan Liu. ``Joint
Spatial and Temporal Modeling for Hydrological Prediction, IEEE Access.
April 2020.
- Ghazaleh Beigi and Huan Liu. ``A
Survey on Privacy in Social Media: Identification, Mitigation, and
Applications", ACM Transactions on Data Science, 1 (1), 1-38,
2020. https://dl.acm.org/doi/abs/10.1145/3343038
pdf
- Ghazaleh Beigi, Jiliang Tang, and Huan Liu. ``Social
Science Guided Feature Engineering: A Novel Approach to Signed Link
Analysis", ACM Transactions on Intelligent Systems and Technology (TIST) 11 (1),
1-27, 2020.
https://doi.org/10.1145/3364222
pdf
2019
- Liang Wu, Fred Morstatter, Kathleen, M. Carley, and Huan Liu.
``Misinformation in Social Media: Definition, Manipulation, and Detection",
ACM SIGKDD Explorations Newsletter 21 (2), 80-90.
pdf [120]
- Shuo Yu, Feng Xia, and Huan Liu. ``Academic Team Formulation based on
Liebig's Barrel: Discovery of Anticask Effect",
IEEE Trans on Computational Social Systems. Vol 6 (5), 1083-1094, Oct.,
2019. doi:
10.1109/TCSS.2019.2913460
- Ghazaleh Beigi and Huan Liu. ``Identifying Novel Privacy Issues of Online Users on Social Media Platforms", ACM SIGWEB Newsletter, Winter Issue, Article #4, 2019. doi>10.1145/3293874.3293878
- Kai Shu, Deepak
Mahudeswaran, and Huan Liu. ``FakeNewsTracker: A Tool for Fake News
Collection, Detection, and Visualization", Special Issue of Best of
SBP, Computational and Mathematical Organization Theory (CMOT),
Springer, 25:60-71, 2019.
pdf,
DOI
2018
- Suhang Wang, Charu
Aggarwal, and Huan Liu. ``Random-Forest-Inspired
Neural Networks", ACM Trans on Intelligent Systems and Technology
(TIST), 9(6), Article No. 69. doi>10.1145/3232230
- Liang Wu, Fred
Morstatter, and Huan Liu. ``SlangSD:
building, expanding and using a sentiment dictionary of slang words for
short-text sentiment classfication" , Springer Entherlands Language
Resources and Evaluation, 52(3), 838-852. 9/1/2018. [115]
- Huan Liu. ``Beyond
the Scale of Big Data", Front. Big Data 1:1. https://doi.org/10.3389/fdata.2018.00001
10 July 2018
- X Meng, S Wang, K Shu, J Li, B Chen, H Liu, Y Zhang .``Towards
privacy preserving social recommendation under personalized privacy settings",
Springer US, World Wide Web, 1-29, 2018.
- Fred Morstatter, Liang Wu, Uraz Yavanoglu, Stephen R. Corman, and Huan
Liu. ``Identifying
Framing Bias in Online News", ACM Trans on Social Computing, Volu 1 Issue
2, Article No. 5, June 2018. doi>10.1145/3204948
- Fred Morstatter and Huan Liu. ``In
Search of Coherence and Consensus: Measuring the Interpretability of
Statistical Topics", Journal of Machine Learning Research (JMLR),
18(169):1-32, 2018
- Zhen Yang, Jiliang Tang, and Huan Liu. ``Cloud Information Retrieval:
Model Description and Scheme Design", IEEE Access, DOI:
10.1109/ACCESS.2018.2797131. Forthcoming [110]
- Suhang Wang, Jiliang
Tang, and Yilin Wang, and Huan Liu. ``Exploring Hierarchical Structures for
Recommender Systems", IEEE TKDE, Volume: 30, Issue: 6, pp 1022-1035. June
2018. DOI: 10.1109/TKDE.2018.2789443.
- Ling Jian, Jundong Li, and Huan Liu. ``Exploiting Multi-Label
Information for Noise Resilient Feature Selection", ACM TIST, Forthcoming
- Ling Jian, Jundong Li,
and Huan Liu. ``Toward online node
classification on streaming networks", Journal of Data Mining and
Knowledge Discovery (DMKD), Springer Nature. First Online: July 2017.
Volume 32, Issue 1, pp 231-257, January 2018. DOI
10.1007/s10618-017-0533-7.
- Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu.
`` Feature Selection: A Data Perspective",
ACM Computing Surveys (CSUR), Volume 50, Issue 6, January 2017. Article No.
94. DOI
10.1145/3136625.
2017
- Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu. ``Fake News Detection on Social Media: A Data Mining Perspective", SIGKDD Explorations, 19(1):22-36, June, 2017. pdf
[105]
- Tahora H. Nazer, Guoliang Xue, Jiyu Sheng, and Huan Liu. ``Intelligent Disaster Response via Social Media Analysis - A Survey", SIGKDD Explorations, 19(1):46-59, June, 2017. pdf
- Suhas Ranganath, Xia B Hu, Jiliang Tang, Suhang Wang, and Huan Liu.
``Understanding and Identifying Rhetorical Questions in Social Media", ACM
Transcation on Intelligent Systems and Technology (TIST).
Forthcoming. pdf
- Yun Li, Tao Li, and Huan Liu. ``Recent Advances in Feature Selection and Its Applications", Springer, Knowledge and Information Systems (KAIS). pp 1-27, May 2017. DOI 10.1007/s10115-017-1059-8.
- Suhas Ranganth, Suhang Wang, Xia Hu, Jiliang Tang, and Huan Liu.
``Facilitating Time Critical Information Seeking in Social Media", IEEE
Trans on Knowledge and Data Engineering (TKDE). Forthcoming. pdf
- Fred Morstatter and
Huan Liu. ``Discovering, Assessing, and Mitigating Data Bias in Social
Media",
Elsevier Journal of Online Social Networks and Media.
Volume 1, Pages: 1-13. June 2017. pdf
[100]
- Fred Morstatter,
Liang Wu, Uraz Yavanoglu, Stephen S. Corman, and Huan Liu. ``Identifying
Framing Bias in Online News", ACM Transactions on Social Computing
(TSC).
Forthcoming. pdf
- Jundong Li and Huan
Liu. ``Challenges of Feature Selection for Big Data Analytics", Special
Issue on Big Data, IEEE Intelligent Systems.
32 (2), 9-15. 2017
- Feng Xia, Wei Wang, Teshome Megersa Bekele, and Huan Liu. ``Big Scholarly Data: A Survey", IEEE Trans on Big Data, Issue:99, Page(s): 1. January 2017. DOI: 10.1109/TBDATA.2016.2641460.
2016
- Kai Shu, Suhang Wang,
Jiliang Tang, Reza Zafarani and Huan Liu. ``User Identity Linkage across
Online Social Netwroks: A Review",
ACM SIGKDD Explorations.
Volume 8, Number 2, December 2016. Pages: 5-17.
pdf
- Fred Morstatter and
Huan Liu. ``Replacing
Mechanical Turkers? Challenges in the Evaluation of Models with Semantic
Properties", Journal of Data and Information Quality (JDIQ), Volume 7
Issue 4, October 2016, Article No. 15. DOI10.1145/2935752.
[95]
- Xia Hu, Peter Reaven,
Aramesh Saremi, Ninghao Liu, Mohammed Abbasi, Huan Liu, and Raymond Migrino.
``Machine Learning to Predict Rapid Progression of Carotid Atherosclerosis
in Patients with Impaired Glucose Tolerance", EURASIP Journal on Bioinformatics and Systems Biology. 2016:14. DOI 10.1186/s13637-016-0049-6.
- Huan Liu, Fred Morstatter, Jiliang Tang, and Reza Zafarani. ``The good,
the bad, and the ugly: uncovering novel research opportunities in social
media mining", in Trends of Data Science, International Journal on Data
Science and Analytics, Springer International Publishing Switzerland.
September, 2016.
DOI
10.1007/s41060-016-0023-0
- Jiliang Tang, Yi Chang, Charu Aggarwal, and Huan Liu. ``A
Survey of Signed Network Mining in Social Media",
ACM Computing Surveys
(CSUR), Volume 49 Issue 3, August 2016, Article No. 42. arXiv:1511.07569
- Peng Cui, Huan Liu, Charu Aggarwal, and Fei Wang. ``Uncovering and
Predicting Human Behaviors", Intelligent Systems, 31 (2), 77-88, 2016
- Wei Wei, K Joseph, Huan Liu, Kathleen M Carley. ``Exploring
Characteristics of Suspended Users and Network Stability on Twitter",
Social
Network Analysis and Mining, 6(1), 51, Springer, 2016. [90]
- Yu Cheng, Ankit Agarawal, Huan Liu, Alok Choudhary. ``Legislative
Prediction with Dual Uncertainty Minimization from Heterogeneous
Information", Special Issue of “Best of SDM 2015” in Statistical
Analysis and Data Mining: The ASA Data Science Journal, Wiley.
Forthcoming. DOI: 10.1002/sam.11309.
- Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu: Feature Selection: A Data Perspective. CoRR abs/1601.07996 (2016)
-
Jun-Jie Jiang, Zi-Gang Huang, Liang Huang, Huan Liu, Ying-Cheng Lai.
``Directed dynamical influence is more detectable with noise", Scientific
Reports 2016; 6: 24088.
-
- Reza Zafarani and Huan Liu. ``Users Joining Multiple Sites: Friendship and Popularity Variations across Sites", Elsevir Journal of
Information Fusion
28: 83-89 (2016). pdf [85]
2015
- Xia Hu, Lei Tang, and Huan Liu. ``Embracing Information Explosion
without Choking: Clustering and Labeling in Microblogging", IEEE Trans. on
Big Data (TBD)
1(1): 35-46 (2015). pdf,
- Nitin Agarwal, Sean Andrist, Dan Bohus, Fei Fang, Laurie Fenstermacher, Lalana Kagal, Takashi Kido, Christopher Kiekintveld,William F. Lawless, Huan Liu, Andrew McCallum, Hemant Purohit, Oshani Seneviratne, Keiki Takadama, Gavin Taylor: Reports on the 2015 AAAI Spring Symposium Series. AI Magazine 36(3): 113-119 (2015)
- Reza Zafarani and Huan
Liu. ``User Identification across Social Media", ACM Transactions on
Knowledge Discovery from Data
TKDD 10(2): 16 (2015). pdf
- Lie Qu, Yan
Wang, Mehmet
A. Orgun, Ling Liu, Huan
Liu, Athman
Bouguettaya. ``CCCloud: Context-Aware and Credible Cloud Service
Selection Based on Subjective Assessment and Objective Assessment". IEEE
T. Services Computing 8(3): 369-383 (2015).
- Fred Morstatter, Huiji Gao, and Huan Liu. ``Discovering Location Information in Social Media", Special Issue on Location-Based Social Media Analysis, Editor: XiaoFang Zhou, IEEE Computer Science, Data Engineering Bulletin, 38(2), pp 4-13, June 2015.
[80]
- Jiliang Tang, Huiji Gao, Atish Dasarma, Yingzhou Bi, and Huan Liu. ``Trust Evolution: Modeling and Its Applications", IEEE Transactions on Knowledge and Data Engineering (TKDE).
27(6): 1724-1738 (2015).
pdf
- Reza Zafarani and Huan Liu. ``Evaluation without Ground Truth in Social Media Research", Communications of ACM,
Volume 58 Issue 6, June 2015 Pages 54-60.
pdf, Chinese Translation
- Huiji Gao, Jiliang
Tang and Huan Liu.``Solving the Cold Start Problem in Location
Recommendation with Geo-Social Correlations'', Data mining and Knowledge
Discovery (DMKD), Springer.
29(2): 299-323 (2015) .
pdf
2014
- Pritam Gundecha , Geoffrey Barbier, Jiliang Tang, and Huan Liu. ``'User Vulnerability and its Reduction on a Social Networking Site'', ACM Transactions on Knowledge Discovery from Data (TKDD). 9(2): Pages 12:1-12:25, 2014.
pdf
- Jiliang Tang and Huan Liu.``An Unsupervised Feature
Selection Framework for Social Media Data'', IEEE Transactions on Knowledge
and Data Engineering (TKDE). 26(12): 2914-1927, 2014.
pdf [75]
- Kathleen M. Carley, Jürgen Pfeffer, Fred
Morstatter, Huan Liu. ``Embassies burning: toward a near-real-time
assessment of social media using geo-temporal dynamic network analytics" Social
Netw. Analys. Mining 4(1) (2014)
- Jiliang Tang and Huan Liu. ``Feature Selection for Social Media Data", ACM Transactions on Knowledge Discvoery from Data
(TKDD). 8(4) Pages 19:1 - 19:27, 2014.
pdf
- Zhi-Dan Zhao, Zi-Gang Huang, Liang Huang, Huan Liu, Ying-Cheng Lai. ``Scaling and correlation of human movements in cyberspace and physical space",
Physical Review E 90 (5), 050802.
- Reza Zafarani and Huan Liu. ``Behavior
Analysis in Social Media", IEEE Intelligent Systems, 29(4): 9-11, 2014. pdf
- Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, and
Huan Liu, ``Global and Local Structure Preservation for Feature Selection",
IEEE Transactions on Neural Networks and Learning Systems. 25(6): 1083-1095, 2014. pdf [70]
- Dror Y. Kenett, Fred Morstatter, H. Eugene Stanley, and Huan Liu. ``Discovering Social Events through Online Attention", PLOS ONE, July 2014. paper access
- Shamanth Kumar, Fred Morstatter, and Huan Liu. ``Monitoring Social Media for Humanitarian Assistance and Disaster Relief",
invited contribution, IEEE Special Technical Community Social Networking, STCSN E-Letter Vol. 2 No. 1, March 12, 2014.
- Shijin Li, Jianbin Qiu, Xinxin Yang, Huan Liu, DingshengWan, Yuelong Zhu: A novel approach
to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search. Eng. Appl. of AI 27: 241-250 (2014)
- Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu: A Hierarchical Word-Merging
Algorithm with Class Separability Measure. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 417-435 (2014)
2013
- Jiliang Tang, Yi Chang, and Huan Liu. ``Mining
Social Media with Social Theories: A Survey", SIGKDD explorations, 15(2): 20
- 29. December 2013.
pdf [65]
- Jiliang Tang, Xia Hu, and Huan Liu, ``Social Recommendation: A Review", Journal of Social Network Analysis and Mining, Springer. 3(4): 1113-1133 (2013). pdf, online first
- Xufei Wang,
Lei Tang, Huan Liu, and Lei Wang, ``Learning with Multi-resolution
Overlapping Communities", Knowledge and Information Systems (KAIS),
Springer, Volumen 36, Issue 2 (2013): 517-535. pdf
- Zheng Zhao, Lei Wang, Huan Liu, and Jieping Ye. ``On
Similarity Preserving Feature Selection", IEEE Transactions on Knowledge and
Data engineering (TKDE), 25(3): 619-632, 2013. pdf
2012
- Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Fung, and Huan Liu.
``Maximizing Benefits from Crowdsourced Data", Special Issue: Data Model,
Computational and Mathematical Organization Theory, 18(3): 257-279,2012.
DOI: 10.1007/s10588-012-9121-2. pdf
- Lei Tang, Xufei Wang and Huan Liu. "Scalable Learning of Collective Behavior". IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 24, no. 6, pp. 1080-1091, June, 2012.
Selected as a
June-2012 featured article by the Special Technical Community on Social Networks,
IEEE Computer Society.
pdf [60]
- Nitin Agarwal, Huan Liu, Lei Tang, and Philip Yu.
"Modeling Blogger Influence in a Community", Social Network Analysis and
Mining, Springer, 2(2): 139-162,
2012. DOI:
10.1007/s13278-011-0039-3. pdf
- Fred
Morstatter, Huan Liu, and Daniel Zeng.
Opening Doors to Sharing Social Media Data, IEEE Intelligent Systems,
January/February 2012. Vol.27, No. 1: pp 47 -51. (selected as a May-2012 feature article by the Special Technical Community on Social Networks, IEEE Computer Society)
- Jiliang Tang, Xufei Wang, Huiji Gao, Xia Hu & Huan Liu.
"Enriching
Short Text Representation in Microblog for Clustering", Frontiers of
Computer Science in China, Vol. 6, Issue 1:88-101, 2012.
DOI:
10.1007/s11704-011-1167-7.
-
Lei Tang, H. Liu and J.
Zhang. "Identifying Evolving Groups in Dynamic Multi-Mode Networks".
IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(1): 72-85,
2012. pdf.
- Lei Tang, Xufei Wang, and Huan Liu. "Group Profiling for
Understanding Social Structures", ACM Transaction on Intelligent Systems and
Technology, 3(1):15 2012.
pdf [55]
2011
- Lei Tang, Xufei Wang, and Huan Liu. "Community Detection
via Heterogeneous Interaction Analysis", Data Mining and Knowledge
Discovery, Springer. August, 2011. DOI: 10.1007/s10618-011-0231-0.
pdf
- Geoffrey Barbier, Lei Tang and Huan Liu.
"Understanding Online Groups through Social Media". WIREs Data Mining and Knowledge
Discovery, May 20, 2011.
- N. Yagnik, H. Liu, and
H.J.S. Fernando. "Sensor Networks: Decentralized Monitoring and Subspace
Classification of Events", Special Issue on Novel Applications of Machine
Learning, International Journal of General Systems, Taylor & Francis, Volume 40 Issue 4, 457. May 4, 2011. doi:10.1080/03081079.2010.544882
- Sai Moturu and Huan Liu.
"Quantifying the Trustworthiness of Social Media Content", Journal of
Distributed and Parallel Databases, Springer, Volume 29, January 4, 2011. DOI: 10.1007/s10619-010-7077-0.
- Lei Tang and Huan Liu. "Leveraging Social Media Networks for Classification".
Journal of Data Mining and Knowledge Discovery (DMKD), Springer, DOI: 10.1007/s10618-010-0210-x, January
14, 2011.[50]
2010 and earlier
-
L. Tang and H. Liu. "Toward
Collective Behavior Prediction via Social Dimension Extraction". IEEE
Intelligent Systems, July/August 2010 (vol. 25 no.4), pp. 19--25.
pdf,
data and code
- N. Agarwal, M.
Galan, H. Liu, and S. Subramanya. "WisColl: Collective Wisdom based
Blog Clustering". Journal of Information Science: Special Issue on
Collective Intelligence (INS-CI), 180(1):39-61. 2010.
http://dx.doi.org/10.1016/j.ins.2009.07.010.
- S. Moturu, W. Johnson, and
H. Liu. "Predictive Risk Modeling for Forecasting High-Cost Patients: a
Real-World Application
Using Medicaid Data", International Journal of Biomedical Engineering and
Technology, Special Issue on Warehousing and Mining Complex Data:
Applications to Biology, Medicine, Behavior, Health and Environment, 3(1-2):
114-132. 2009. pdf.
- Z. Zhao and H. Liu.
"Searching for Interacting Features in Subset Selection", Intelligent Data
Analysis - An International Journal, 13(2): 207 -228, 2009.
pdf
- S. Subramanya, Z. Wang, B.
Li, and H. Liu. "Completing Missing Views for Multiple Sources of Web
Media", International Journal of Data Mining, Modeling and Management,
1(1):23-44, 2008. [45]
- N. Agarwal and H. Liu. "Blogosphere:
Research Issues, Applications, and Tools", SIGKDD Explorations, 10(1):
18-31, July 2008.
related video lecture
- L. Tang, H. Liu, J. Zhang,
N. Agarwal and J.J. Salerno. “Topic Taxonomy Adaptation for Group
Profiling”, ACM Transactions on Knowledge Discovery from Data.
TKDD 1(4): 1--28 (2008).
- N. Agarwal, H. Liu, and J.
Zhang. ``Blocking Objectional Web Contents by Leveraging Multiple
Information Sources".
SIGKDD Explorations,
pdf, 8(1):17 - 26, June, 2006.
- N. Agarwal, E. Haque, H.
Liu, and L. Parsons. ``A Subspace Clustering Framework for Research Group
Collaboration". International Journal of Information Technology and
Web Engineering, 1(1), pdf, pp 35 - 58,
January - March, 2006
- K.S. Candan, J.W. Kim, H.
Liu, and R. Suvarna. ``Discovering Mappings in Hierarchical Data from
Multiple Sources using the Inherent Structure". The Knowledge and
Information Systems Journal. pdf,
10(2): 185-210, August, 2006. [40]
- M. Berens, H. Liu, L.
Parsons, L. Yu, and Z. Zhao. “Fostering Biological Relevance in
Feature Selection for Microarray Data”, Trends and Controversies,
pdf, pp 71 - 73. November/December 2005, IEEE
Intelligent Systems.
- H. Liu and L. Yu.
"Toward Integrating Feature Selection Algorithms for Classification
and Clustering",
IEEE
Trans. on Knowledge and Data Engineering, pdf, 17(4), 491-502, 2005.
- L. Yu and H. Liu.
"Efficient Feature Selection via Analysis of Relevance and
Redundancy", Journal of Machine
Learning Research,
pdf,
JMLR 5 (Oct): 1205--1224, 2004.
- H. Liu, H. Motoda, and L.
Yu. "A
Selective Sampling Approach to Active Feature Selection",
Artificial Intelligence, Elsevier, 159(1-2):49-74, 2004,
pdf.
- P. Foschi and H. Liu.
"Active Learning for Detecting a Spectrally Variable Subject in Color
Infrared Imagery", Pattern Recognition Letters, Elesevier,
pdf, 25(13): 1509-1517, 2004. [35]
- L. Parson, E. Haque, and H.
Liu. "Subspace Clustering for High Dimensional Data - A Review",
SIGKDD Explorations,
pdf,
6(1): 90 - 105, June, 2004.
- M. Dash and H. Liu.
"Consistency-Based Search in Feature Selection", Artificial
Intelligence. 151(1-2):155-176, December 2003, pdf.
- D. Makawita, K-L. Tan, and
H. Liu. "Sampling from Databases Using B+Trees", Intelligent
Data Analysis, 6(4):359-377, 2002, IPO.
- M. Dash, H. Liu, P.
Scheuermann, and K-L. Tan. "Fast Hierarchical Clustering and Its
Validation", Data and Knowledge Engineering, Elsevier Science.
44(1):111-140. Dec, 2002.
- Z. Chen, F. Lin, H. Liu,
W.Y. Ma, Liu Wenyin. "User Intention Modelling in Web Applications
Using Data Mining",
World Wide Web -
Internet and Web Information Systems Journal, Kluwer Academic
Publishers. 5(3):181-192. 2002. [30]
- H. Liu, F. Hussain, C.L.
Tan, and M. Dash. "Discretization: An Enabling Technique",
Journal of Data Mining and Knowledge Discovery 6(4): 393-423; Oct 2002.
pdf.
Software
available.
- H. Liu and H. Motoda,
"On Issues of Instance Selection", Journal of Data Mining and
Knowledge Discovery. 6(2):115-130; Apr 2002.
- Z. Zhou, H. Liu, S.Z. Li,
and C.S. Chua, "Rule Mining with Prior Knowledge - A Belief Networks
Approach", Intelligent Data Analysis, 5(2):95-110, 2001.
postscript, tar.gz
files.
- K.S. Candan, H. Liu, and R.
Suvarna, "Resource Description Framework: Metadata and Its
Applications", ACM SIGKDD Explorations, July 2001. 3(1):6-19.
pdf.
- H. Liu,
H. Lu, and
J. Yao, "Towards
Multidatabase Mining: Identifying Relevant Databases", IEEE
Transactions on Knowledge and Data Engineering. 13(4):541-553. July/August
2001. postscript[25]
- K.S. Ng and H. Liu
"Customer Retention via Data Mining", Issues on the Application
of Data Mining, Artificial Intelligence Review, Kluwer Academic
Publishers. 14(6):569-590, December 2000. postscript
-
J. Yao,
M. Dash, S.T. Tan and H.
Liu, ``Entropy-based Fuzzy Clustering and Fuzzy Modeling'',
Fuzzy
Sets and Systems - International Journal of Soft Computing and
Intelligence, Official Publication of the International Fuzzy System
Association, Elsevier. 113(3):381-388, 2000. pdf [20]
-
R. Setiono and H. Liu, ``A
Connectionist Approach to Generating Oblique Decision Trees'', IEEE
Transactions on Systems, Man, and Cybernetics (Part B: Cybernetics), pp
440--444, Volume 29, Number 3, June 1999.
- H. Liu and
R. Setiono, ``Some Issues
on Scalable Feature Selection'', Expert Systems with Application, 15
(1998) Elsevier. Pages 333-339. postscript.
- H. Liu and
R. Setiono, ``Incremental
Feature Selection'', Applied Intelligence, Volume 9, Number 3,
November/December 1998. Kluwer Academic Publishers. Pages 217-230.
postscript.
- H. Liu and
H. Motoda,
``Feature Transformation and Subset Selection'', IEEE Intelligent Systems,
March/April 1998, Volume 13, Number 2, Pages 26-28.
postscript.
-
R. Setiono and H. Liu,
``Analysis of Hidden Representations by Greedy Clustering'', Connection
Science, Vol. 10, No. 1, 1998. Carfax. pages 21-42.
postscript.
-
R. Setiono and H. Liu,
``NeuroLinear: from Neural Networks to Oblique Decision Rules'',
Neurocomputing, Elsevier, Vol. 17, No. 1, September 1997, pages 1-25.
postscript.
-
M. Dash and H. Liu,
"Feature Selection for Classification".
Intelligent Data Analysis - An
International Journal, Elsevier, Vol. 1, No. 3, pages 131 - 156, 1997.
postscript.
- H. Liu and
R. Setiono, ``Feature
Selection via Discretization of Numeric Attributes'', IEEE Trans. on
Knowledge and Data Engineering, VOL.9, NO. 4, July/August 1997. pp.
642-645. postscript. [15]
-
R. Setiono and H. Liu,
``Neural Network Feature Selector'', IEEE Trans. on Neural Networks, Vol.
8, No. 3, May 1997, pp. 654-662.
postscript.
-
H. Lu, R. Setiono and H.
Liu, ``Effective Data Mining Using Neural Networks'', IEEE Trans. on
Knowledge and Data Engineering, Vol. 8, No. 6, Dec. 1996, pp. 957-961.
postscript.
- H. Liu, ``Efficient Rule
Induction from Noisy Data'', Expert Systems with Applications: An International
Journal, Vol. 10, No. 2, 1996. Pergamon. pp. 275-280.
postscript.
-
R. Setiono and H. Liu,
``Symbolic Representation of Neural Networks'', the IEEE Computer, Mar. 1996,
pp 71-77. postscript.
- H. Liu and
R. Setiono,
``Dimensionality Reduction via Discretization'', Knowledge-Based Systems,
Vol. 9, No. 1, Feb. 1996. Elsevier. pp. 67-72. postscript.
[10]
-
R. Setiono and H. Liu,
``Improving Backpropagation Learning with Feature Selection'',
Applied Intelligence,
Vol. 6, Kluwer Academic Publishers, 1996, pp 129-139.
postscript.
- H. Liu and W.X. Wen,
``Supervised Learning for Self-Generating Neural Networks'', Australian
Journal of Intelligent Information Processing Systems, Vol. 2, No. 2,
Winter 1995, pp 12-19. postscript.
- H. Liu, C. Rowles and W.
Wen, ``Critics for Knowledge-Based Design Systems'', the IEEE Transactions
on Knowledge and Data Engineering, Vol. 7, NO. 5, Oct. 1995, pp 740-750.
postscript.
- H. Liu and W. Wen, ``Joint
Concept Formation'', International Journal of Knowledge Acquisition, Vol.
6, 1994, pp 75-87. postscript.
-
G.A.
Bekey, H. Liu, R. Tomovic and W.J. Karplus, ``Knowledge-Based Control
of Grasping in Robot Hands Using Heuristics from Human Motor Skills'', the
IEEE Transactions on Robotics and Automation, Vol.9, No.6, Dec. 1993, pp
709-722. [5]
-
A. Jennings, H. Higuchi
and H. Liu, ``A Personal News Service based on a User Model Neural
Network'', Australian Telecommunications Research, Vol. 27, No.1, 1993, pp
1-12.
-
A. Jennings, C.Rowles, C.
Leckie and H. Liu, ``AI Applications in Telecommunications'',
Telecommunications Journal of
Australia,
Vol. 41, No. 1, 1991,
Australia,
pp 47-55.
- H. Liu, T. Iberall and G.A.
Bekey, ``Nerual network architecture for robot hand control'', the IEEE
Control Systems, April 1989, pp 38-43.
- K. Rao, H. Liu, G. Medioni
and G.A. Bekey, ``Shape description and grasping for robot hand and eye
coordination '' the IEEE Control Systems, Feb. 1989, pp 22-29.
Conference Patent Journal
Workshop Book
- Kaize Ding, Kai Shu, Yichuan
Li Amrita Bhattacharjee, and Huan Liu. “Challenges in Combating COVID-19
Infodemic - Data, Tools, and Ethics”, 5th International Workshop on
MiningActionable Insights from Social Networks (MAISoN). In Proceedings of the
CIKM 2020 Work-shops co-located with 29th ACM International Conference on
Information and KnowledgeManagement (CIKM), October 19-23,
2020. Galway, Ireland.
-
Lu Cheng, Ruocheng Guo, and Huan Liu. ``Robust Cyberbullying Detection with Causal Interpretation". In Proceedings of the WWW'19 CyberSafety Workshop, May 13, San Francisco, CA.
pdf
- Ghazaleh Beigi, Suhas
Ranganath, and Huan Liu. ``Signed Link Prediction with Sparse Data: The Role of Personality Information", In the Proceedings of the WWW'19 Women in Web Data Science Workshop (WinDS19), May 13-17, San Francisco, CA.
pdf
- Kai Shu, Suhang Wang, and
Huan Liu. Understanding User Profiles on Social Media for Fake News Detection.
The First IEEE International Workshop on Fake MultiMedia (FakeMM2018),
April 10-12, 2018. Miami, FL.
- Yafeng
Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu and
Ross Maciejewski. Visualizing Social Media Sentiment in Disaster Scenarios. The
WWW2015 Workshop on Social Web for
Disaster Management (SWDM),
May 18, 2015. Florence, Italy.
- Dror
Kenett, Fred Morstatter, Gene Stanley and Huan Liu. Extreme Event Detection in
Online Social Media using Social Focus, The 2014 KDD Workshop on Learning about
Emergencies from Social Information (KDD-LESI2014),
New York, NY. August 24, 2014.
- Fred Morstatter, Nichola
Lubold, Heather Pon-Barry, Jürgen Pfeffer, Huan Liu. Finding Eyewitness Tweets
During Crises, ACL Workshop on
Language Technology and Computational Social Science, June 2014. Baltimore,
Maryland.
- Shamanth Kumar, Huan Liu, and Fred Morstatter. Social Computing and Information in the New Information Age, presentation, Intelligence in Science. Brussels, Belgium. October 8 -9, 2013
- Huiji Gao, Jiliang Tang, and
Huan Liu. Mobile Location Prediction in a Spatio-Temporal Context. In
Workshop on
Mobile Data Challenge by Nokia,
Pervasive 2012,
Newcastle, UK. June 18-22, 2012. Winning the 3rd Place Dedicated Task 2: Next Location Prediction.
- Lei Tang, Huiji Gao, and
Huan Liu. Network Quantification Despite Biased Labels. In Workshop on
Mining and Learning with Graphs, KDD 2010.
- Lei Tang, Xufei Wang, Huan
Liu and Lei Wang. A Multi-Resolution Approach to Learning with Overlapping
Communities. In Workshop on Social Media Analytics, KDD 2010.
pdf
- Lei Tang and Huan Liu.
Uncovering Cross-Dimension Group Structures in Multi-Dimensional Networks,
Workshop on Analysis of Dynamic Networks at the SIAM International
Conference on Data Mining, 2009. pdf.
- Zheng Zhao and Huan Liu.
Multi-source feature selection via geometry-dependent covariance
analysis. Journal of Machine Learning Research, Workshop and
Conference Proceedings Volume 4: New challenges for feature selection in
data mining and knowledge discovery, 4:36-47, 2008.
pdf
- Shankara Subramanya and Huan
Liu. SocialTagger -
Collaborative Tagging for Blogs in the Long Tail, Workshop on Search in
Social Media, ACM 17th Conference on Information and Knowledge Management,
October 26-30, 2008. Napa Valley, California.
pdf
- Payam Refaeilzadeh, Lei
Tang, Huan Liu. “On Comparison of Feature Selection Algorithms”, AAAI 2007
Workshop on Evaluation Methods for Machine Learning II, Vancouver, British
Columbia, Canada. July 22, 2007. pdf.
- Prabhdeep Singh, Ravi
Bhimavarapu, Hasan Davulcu, Chitta Baral, Seungchan Kim, Huan Liu,
Mike Bittner, I.V. Ramakrishnan. "BioLog: A Browser Based
Collaboration and Resource Navigation Assistant for BioMedical
Researchers", 2nd International Workshop on Data Integration in the
Life Sciences (DILS 2005) University of California,
San Diego
July 20 - 22, 2005.
- K Selcuk Candan, Jong Wook
Kim, Huan Liu, and Reshma Suvarna. "Stucture-based Mining of
Hierarchical Media data, Metadata, and Ontologies", Fifth
International Workshop on Multimedia Data Mining (MDM/KDD 2004), August 22
- 25, 2004, Seattle, WA, USA.
pdf
- P. Foschi, G. Fields II,
and H. Liu. "Detecting a Spectrally Variable Subject in Color
Infrared Imagery Using Data-Mining and Knowledge-Engine Methods". 3rd International workshop on Pattern
Recognition in Remote Sensing, Kingston
University, Kingston
upon Thames, August 27, 2004. pdf
- L. Parson, E. Haque, and H.
Liu. "Evaluating Subspace Clustering Algorithms", Workshop on
Clustering High Dimensional Data and Its Applications, SIAM International Conference
on Data Mining 2004, April 24, 2004. Lake Buena Vista, Florida.
pdf
- Y. Ding, H. Liu, A.
Ramineni, A. Sen. "Detecting Hidden Messages in Images: A Comparative
Study", 2nd
Workshop on Privacy Preserving Data Mining (PPDM), Melbourne, Florida,
USA,
November 19, 2003. some
related publications
- P. Foschi, D. Kolippakkam,
H. Liu, A. Mandvikar, "Feature Extraction for Image Mining", International Workshop on Multimedia
Information Systems (MIS 2002), 10/30/02 - 11/1/02. p 103-109. Tempe, Arizona.
pdf.
- P. Foschi and H. Liu,
"Active Learning for Classifying a Spectrally Variable Subject",
the 2nd International Workshop on Pattern Recognition for Remote Sensing, (PRRS 2002),
August 16, 2002. p. 115-124. Niagara
Falls, Canada.
pdf.
- B. Gu, B. Liu, F. Hu, and
H. Liu, "Efficiently Determining Initial Sample Size for Progressive
Sampling", SIGMOD Data Mining and Knolwedge Discovery Workshop,
(DMDK), May 20, 2001, Santa Barbra, USA. postscript.
- D. Manoranjan and H. Liu,
"Attribute Hierarchy: A Fast and Memory-Efficient Approach to
Density-Based Clustering", ACM SIGKDD Workshop on Distributed and
Parallel Knowledge Discovery (DPKD-2000), Boston, August 2000.
- S.N. Ahmed, H. Liu and K.K.
Sung "Incremental Learning with Support Vector Machines"
International Joint Conference on Artificial Intelligence (IJCAI99),
Workshop on Support Vector Machines, August 2, 1999, Stockholm, Sweden.
postscript.
- M. Dash and H. Liu
"Handling Large Unsupervised Data via Dimensionality Reduction",
SIGMOD Data Mining and Knolwedge Discovery Workshop, (DMDK), May 30, 1999,
Philadelphia, USA.
- H. Liu, F. Hussain, and K.
Ng ``An Efficient Approach to Searching for Reliable Exceptions'', Pacific
Rim International Conference on AI'98 Workshop on Data Mining, Nov. 1998, Singapore
- Ng, K. and H. Liu ``A
Belief-Based Approach to Knowledge Discovery in Databases'', PKAW-98
Pacific Knowledge Acquisition Workshop, Nov. 1998, Singapore
- Dash, M. and H. Liu
``Similarity Detection among Data Files - A Machine Learning Approach'',
IEEE KDEX-97 workshop, Nov. 1997, Newport
Beach, California
- H. Lu, R. Setiono and H.
Liu, ``Towards Effective Classification Rule Extraction'', DOOD'95
workshop on Integration of Knowledge Discovery in Databases with Deductive
and Object-Oriented Databases, Dec. 1995, Singapore.
- ``Representation of Designs
and Design Knowledge'', (with C.D. Rowles and C. Leckie), IJCAI'91
workshop on ``AI in Design'', August, 1991, Sydney, Australia.
- ``A Personal News Service
Based on a User Model Neural Network'', (with A. Jennings and H. Higuchi),
IJCAI'91 workshop on ``Modeling for Intelligent Interaction'', ibid.
Local Conferences
- ``Making Use of Class
Information in Self-Generating Neural Networks'', (with W.X. Wen),
Proceedings of ACNN'94 (the 5th Australian Neural Network Conference),
Jan. 31 - Feb. 2, 1994, Brisbane,
Australia.
- ``Some Performance
Comparisons for SGNT'', (with W.X. Wen and A. Jennings), the 4th
Australian National Conference on Artificial Intelligence, November 16-18,
1992, Hobart, Tasmania.
- ``Critics in
Knowledge-Based Design Systems'', (with C. Rowles and W.X. Wen), ibid.
- ``Artificial Intelligence -
Operational Perspective: the CANES Example'', (with C.D. Rowles, C.
Leckie, and A. Jennings), National Technology in Government Conference,
Feb. 1992, Canberra, Australia.
- ``Acquisition of Grasping
Heuristics for Robot Hand Control'', the 3rd Australian National
Conference on Artificial Intelligence, Nov. 1990, Perth, Australia.
- ``Machine Regeneration of
Solver's Problem Solving'' (with H.A. Rowe), the First Annual Conference
of Australasian Cognitive Science, Nov. 1990, University of New South Wales, Australia.
- ``Knowledge-based
Multifingered Robot Hand Grasping'', the 3rd Australian National
Conference on Robotics, June, 1990, Melbourne,
Australia.
- ``Task analysis: a method
of robot hand control'', Simulation'87, Society of Manufacturing
Engineers, AI in Manufacturing, October, 1987, Long Beach, California.
-
Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, and Huan Liu.
``Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. May
2020.
https://arxiv.org/abs/2005.13691
-
Lu Cheng, Yasin N. Silva,
Deborah Hall, and Huan Liu. ``Personazlied Learning for Cyberbullying
Detection", SBP-BRiMS Doctoral Consortium, 2018.
pdf
-
Jundong Li, Kewei Cheng, Suhang Wang, Fred, Morstatter, Rober P. Trevino,
Jiliang Tang, and Huan Liu. ``Feature
Selection: A Data Perspective", submitted on January 29, 2016.
http://arxiv.org/abs/1601.07996
-
Xufei Wang, Huan
Liu, Peng Zhang and Baoxin Li. "Identifying
Information Spreaders in Twitter Follower Networks", Technical Report,
TR-12-001, School of Computing, Informatics, and Decision Systems
Engineering, Arizona State University, Tempe, AZ 85287, 2012.
- Xia Hu and Huan Liu. "Social
Status and Role Analysis of Palin's Email Network",
ASUCIDSE-2011-007, School of Computing, Informatics, and Decision
Systems Engineering, Arizona State University, AZ 85287. Nov. 2011.
- Pritam Gundecha and Huan
Liu. "Minimizing User Vulnerability and Retaining Social Utility in Social
Media",
ASUCIDSE-2011-006, School of Computing, Informatics, and Decision
Systems Engineering, Arizona State University, AZ 85287. Nov. 2011.
- Jiliang Tang and Huna Liu.
"Feature Selection with Linked Data in Social Media",
ASUCISE-2011-005, School of Computing, Informatics, and Decision Systems
Engineering, Arizona State University, AZ 85287. Nov. 2011.
- Huiji Gao, Xufei Wang,
Jiliang Tang, and Huan Liu. "Network Denoising in Social Media",
TR-11-002,
School of Computing, Informatics, and Decision Systems Engineering, Arizona
State University, AZ 85287, 2011.
- Pritam
Gundecha, Geoffrey Barbier, and Huan Liu."Exploiting Vulnerability to Secure
User Privacy on Social Networking Sites", TR-11-001, School of Computing,
Informatics, and Decision Systems Engineering, Arizona State University, AZ
85287, 2011.
- Zheng Zhao,
Jieping Yefont FACE="CMR12">, Shipeng Yu, and Huan Liu. "Nonlinear
Multiple Kernel Learning via Mixture of Probabilistic Kernel Discriminant
Analysis", TR-10-008,
School of Computing, Informatics, and Decision Systems Engineering, Arizona
State University, Tempe, AZ 85287, 2010.
- Zheng Zhao,
Fred Morstatter, Shashvata Sharma, Salem Alelyani, Aneeth
Anand, and Huan Liu. "Advancing Feature Selection Research - ASU Feature
Selection Repository", TR-10-007,
School of Computing, Informatics, and Decision Systems Engineering, Arizona
State University, Tempe, AZ 85287, 2010.
- Lei Tang, Xufei Wang, and
Huan Liu. "Community Detection in Multi-Dimensional Networks",
TR-10-006, School of Computing,
Informatics, and Decision Systems Engineering, Arizona State University,
Tempe, AZ 85287, 2010.
- Lei Tang, Xufei Wang, and
Huan Liu. "Understanding Emerging Social Structures - A Group Profiling
Approach", Technical Report, TR-10-002,
School of Computing, Informatics, and Decision Systems Engineering, Arizona
State University, Tempe, AZ 85287, 2010.
- Nitin Agarwal, Huan Liu,
John Salerno, Shankar Subramanya, and Philip Yu. "Familiar Strangers:
Connecting Dots on Blogosphere", Technical Report, TR-08-005, School of
Computing Informatics, Arizona State University, Tempe, AZ 85287, 2008.
- Nitin Agarwal, Magdiel
Galan, Huan Liu, Shankar Subramanya. "Clustering with Collective Wisdom - A
Comparative Study", Technical Report, TR-08-004, School of Computing
Informatics, Arizona State University, Tempe, AZ 85287, 2008.
- S. Subramanya, B. Li, C.
Gries and H. Liu. “Selecting Complementary Features from Multiple Data
Sources for Information Integration”, Technical Report, TR-07-009, School of
Computing Informatics, Arizona State University, Tempe, AZ 85287, 2007.
- N. Agarwal, H. Liu, J.
Salerno, P. Yu. "Searching for `Familiar Strangers' on Blogosphere:
Problems and Challenges", Technical Report, TR-07-008, CSE, School of
Computing Informatics, Arizona State University, Tempe, AZ 85287, 2007.
- N. Agarwal, H. Liu, L.
Tang. ``Identifying the Influentials in Blogosphere”, Technical Report,
TR-07-004, CSE, School of Computing Informatics, Arizona State University,
Tempe, AZ 85287, 2007.
- Z. Zhao and H. Liu.
``Semi-supervised Feature Selection via Spectral Analysis", Technical
Report, TR-06-022,
Department of Computer Science and Engineering, Arizona State University,
Tempe, AZ 85287, 2006.
- Y. Ye, L. Yu, and H.
Liu. ``Sparse Linear Discriminant Analysis", Technical Report,
TR-06-010, Department of Computer Science and Engineering, Arizona State
University, Tempe, AZ 85287, 2006.
- L. Tang, J. Zhang, and H.
Liu, ``Acclimatizing Taxonomic Semantics for Hierarchical Content
Classification", Technical Report, TR-06-004, Department fo Computer
Scienceand Engineering,
Arizona
State University,
Tempe,
AZ
85287,
2006.
- L. Tang and H. Liu, ``Bia
Analysis in Text Classification for Highly Skewed Data", Technical
Report, TR-05-008, Department fo Computer Science and Engineering,
Arizona
State
University,
Tempe,
AZ
85287, 2005.
- L. Yu, J. Rennert, H. Liu,
and M.E. Berens, ``Exploiting Statistical Redundancy in Expression
Microarray Data to Foster Biological Relevance", Technical Report,
TR-05-005, Department fo Computer Science and Engineering,
Arizona
State
University,
Tempe,
AZ
85287, 2005.
- D. Kolippakkam, H. Liu, A.
Joy, C. Beaudry, M.E. Berens, ``An Image Mining Approach for Measuring
Intensity, Size and Geographical localization of Stained Bodies in
Cultured Cells: Application in Apoptosis Detection'', Technical Report,
TR-03-010, Department of Computer Science and Engineering, Arizona State
University, Tempe, AZ 85287, 2003.
pdf.
- B. Gu, F. Hu, and H. Liu,
``Sampling and Its Applications in Data Mining: A Survey'', School of
Computing,
National
University of
Singapore, Technical Report,
TRA6-00, 2000.
available
on-line.
- F. Hussain, H. Liu, C.L.
Tan, and M. Dash, ``Discretization: An Enabling Technique'', Technical
Report, TRC6/99, School of Computing, National
University of
Singapore,
June, 1999.
available
on-line.
- N.A. Syed, H. Liu and K.K.
Sung, ``From Incremental Learning to Model Independent Instance Selection
- A Support Vector Machine Approach'', Technical Report, TRA9/99, School
of Computing, National
University
of
Singapore, Setp,
1999. available
on-line.
Conference Patent Journal Workshop Book
-
Raha Moraffah and Huan Liu. ``Causality: Learning to Discover with Data",
Morgan & Claypool Publishers, forthcoming
-
Tanmoy Chakraborty,Kai Shu, H.
Russell Bernard, Huan Liu, and Md Shad Akhtar (Eds.). ``Combating Online
Hostile Posts in Regional Languages during Emergency Situation", First
International Workshop, CONSTRAINT 2021 Collocated with AAAI 2021Virtual Event,
February 8, 2021, Revised Selected Papers. Communications in Computer and
Information Science 1402, ISBN 978-3-030-73695-8
-
Kai Shu, Suhang Wang, Dongwon
Lee, and Huan Liu, Editors. ``Disinformation, Misinformation, and Fake News in
Social Media - Emerging Research Challenges and Opportunities", Lectures Notes
in Social Networks, Springer. 2020 DOI
https://doi.org/10.1007/978-3-030-42699-6.
-
Kai Shu and Huan Liu,
``Detecting Fake News on Social Media", Morgan & Claypool Publishers, July,
2019. DOI: 10.2200/S00926ED1V01Y201906DMK018
-
Guozhu Dong and Huan Liu, Editors. ``Feature Engineering for Machine Learning and Data Analytics", Chapman and Hall/CRC Press, 2018. CFP
- Jiliang Tang and Huan Liu.
``Trust
in Social Media", Morgan & Claypool Publishers, September, 2015.
-
Huiji Gao and Huan Liu. ``Mining Human Mobility in Location-Based Social Networks", Morgan & Claypool Publishers,
April, 2015.
- Reza Zafarani, Mohammad Ali
Abbasi, and Huan Liu. ``Social
Media Mining: An Introduction",
Cambridge University Press, ISBN:
9781107018853. May, 2014.
-
Shamanth Kumar,
Fred Morstatter, and Huan Liu. ``Twitter Data Analytics", preprint for free download with code, Springer,
January, 2014.
- Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, and Huan Liu. "Provenance Data in Social Media", Morgan & Claypool Publishers, May, 2013.
- Zheng Alan Zhao and Huan
Liu. "Spectral Feature Selection for Data Mining", Chapman and Hall/CRC Press, 2012.
- Lei Tang and Huan Liu. "Community Detection and Mining in Social Media", Morgan & Claypool Publishers, September 2010. Lecture Slides available.
Chinese Translation
published in 2012.
- Nitin Agarwal and Huan Liu.
"Modeling
and Data Mining in Blogosphere", Morgan & Claypool Publishers,
July 2009.
- Huan Liu and Hiroshi Motoda. "Feature Selection for
Knowledge Discovery and Data Mining",
July 1998, ISBN 0-7923-8198-X, by Kluwer Academic
Publishers.
- Huan Liu and Hiroshi Motoda, Editors. “Computational Methods of
Feature Selection”, 2008, Chapman and Hall/CRC
Press.
- "Proceedings of the 2009
SIAM International Conference on Data Mining",
SDM09, edited, H. Park, P.
Srinivasan, H. Liu, and Z. Obradovic, 2009, Society for Industrial and
Applied Mathematics, USA.
- "Social Computing and
Behavioral Modeling",
SBP09, Huan Liu, John J. Salerno, Michael J.
Young, editors, 2009, Springer.
- "Social Computing,
Behavioral Modeling, and Prediction",
SBP08, Huan Liu, John J. Salerno, Michael J.
Young, editors, 2008, Springer.
- "Advances in Knowlegde Discovery and Data
Mining", 9th Pacific-Asia
Conference, PAKDD 2005,
Hanoi,
Vietnam,
May 18-20, 2005, Proceedings. Series:
Lecture
Notes in Computer Science, Subseries:
Lecture
Notes in Artificial Intelligence, Vol. 3518. Ho, Tu Bao; Cheung,
David; Liu, Huan (Eds.)
ISBN: 3-540-26076-5.
Springer.
- "Instance Selection and
Construction for Data Mining", Huan Liu and Hiroshi
Motoda, editors, Feburary 2001, ISBN 0-7923-7209-3 by
Kluwer Academic
Publishers.
- "Knowledge Discovery
and Data Mining - Current Issues and New Applications" - Proceedings
of the 4th Pacific-Asia Conference, PAKDD 2000 (Takao Terano, Huan Liu,
Arbee L.P. Chen), Kyoto, Japan, April 2000.
Springer.
- ``Feature Extraction,
Construction and Selection: A Data Mining Perspective'', (with Hiroshi
Motoda), July 1998 (2nd Printing, 2001), ISBN 0-7923-8196-3 by
Kluwer Academic
Publishers.
- ``KDD: Techniques and
Applications'' - Proceedings of the 1st Pacific Asia Conference on
Knowledge Discovery and Data Mining (PAKDD'97), (Hongjun Lu, Hiroshi
Motoda, and Huan Liu), 23-24 Feburary, 1997,
Singapore.
World Scientific.
- ``AI'93'', Proceedings of
the 6th Australian Joint Conference on Artificial Intelligence, (Chris
Rowles, Huan Liu, and Norman Foo), 16-19 November, 1993,
Melbourne,
Australia.
World Scientific.
Book Chapters and Encyclopedia Entries
- Kai Shu, Ahmadreza Mosallanezhad, and Huan Liu. ``Cross-Domain Fake
News Detection on Social Media: A Context-Aware Adversarial Approach",
Chapter, in Frontiers in Fake
Media Generation and
Detection, Springer, forthcoming.
- Walaa Alnasser, Ghazaleh Beigi, and Huan Liu. ``An
Overview on Protecting User Private-Attribute Information on Social Networks",
Handbook of Research on Cyber Crime and Information Privacy, 102-117, 2021
- Kai Shu, Suhang Wang,
Dongwon Lee, and Huan Liu, ``Mining Disinformation and Fake News: Concepts,
Methods, and Recent Advancements", Chapter, in Disinformation,
Misinformation, and Fake News in Social Media - Emerging Research Challenges
and Opportunities, Lecture Notes in Social
Networks, Springer. Editors: Kai Shu, Suhang Wang, Dongwon Lee, and Huan
Liu. 2020 pdf
- Nur Shazwani Kamarudin, Ghazaleh Beigi, Lydia Manikonda, and Huan Liu.
``Social Media for Mental Health: Data, Methods, and Findings", in Open
Source Intelligence and Security Informatics, Editors: Mohammad A. Tayebi,
Uwe Glaesser, and David Skillicorn. First online August 2020.
- Kai Shu, H. Russell Bernard, and Huan Liu. ``Studying Fake News via
Network Analysis: Detection and Mitigation",
Emerging Resesarch
Challenges and Opportunities in Computational Social Network Anaysis and
Mining, Editors: Nitin Agarwal, Nima Dokoohaki, and Serpil Tokdemir. Lecture Notes in
Social Networks (LNSN), Springer. 2019.
- Suhang Wang and Huan Liu. ``Deep Learning for Feature Representation",
Chapter 11, Feature Engineering for Machine Learning and Data Analytics,
Editors: Guozhu Dong and Huan Liu. Chapman and Hall/CRC Press, 2018.
-
Vineeth Rakesh, Lei Tang, and Huan Liu. ``Feature Learning from Social
Graphs", Encyclopedia of Big Data Technologies, edited by Shrif Sakr and
Albert Y. Zomaya. Springer Switzerland. First ONline: 13 Feb 2018. DOI:
https://doi.org/10.1007/978-3-319-63962-8_273-1
- Nitin Agarwal and Huan Liu, ``Trust in Blogosphere", In Encyclopedia of Database Systems, August 2, 2017. Editors: Ling Liu and
M. Tamer Özsu. doi:
10.1007/978-1-4899-7993-3_438-2.
- Nitin Agarwal and Huan Liu, ``Time- and Event-Driven Modeling of Blogger
Influence", In Encyclopedia of Social Network Analysis and Mining, June 16,
2017.
Editors:
Reda Alhajj and Jon Rokne.
doi:10.1007/978-1-4614-7163-9_378-1,
download
- Liang Wu and Huan
Liu, ``Detecting Crowdturfing in Social Media",
in Encyclopedia of Social Network Analysis and Mining. June 6, 2017.
doi:10.1007/978-1-4614-7163-9_110196-1,
download
- Suhang Wang, Jiliang Tang, and Huan Liu. ''Feature Selection'',
Encyclopedia of Machine Learning and Data Mining, Springer.
pp503-511. Springer
2017, ISBN 978-1-4899-7685-7. a preprint
- Liang Wu, Fred
Morstatter, Xia Hu, Huan Liu, ``Mining Misinformation in Social Media", in
Big Data in Complex and Social Networks. Chapter 5, pages123-152. Edited by
My T.Thai, WeiliWu and HuiXiong. Boca Raton, FL
CRC Press 2016.
pdf
- Ghazaleh Beigi, Xia Hu, Ross Maciejewski, and Huan Liu. ``An Overview of
Sentiment Analysis in Social Media and Its Applications in Disaster Relief",
in Sentiment Analysis and Ontology Engineering: An Environment of
Computational Intelligence. Springer. Editors: Shyi-Ming Chen and Witold
Pedrycz. Studies in Computational Intelligence 639, Springer Switzerland
2016. DOI 10.1007/978-3-319-30319-2.
pdf
- Suhang Wang, Jiliang
Tang, and Huan Liu. ``Feature Selection", Encyclopedia of Machine Learning
and Data Mining DOI:10.1007/978-1-4899-7502-7_101-1, 2016.
pdf
- Huiji Gao and Huan Liu. ``Time-Aware Personalized Location
Recommendation", Encyclopedia of GIS, 2nd Edition, Springer. Editors: Shashi
Shekhar and Hui Xiong. pp 1-11. 2016. DOI
10.1007/978-3-319-23519-6_1581-1.
- Isaac Jones, Lei Tang, and Huan Liu. ``Community Discovery in Muti-Mode
Networks", in User Community Discovery. Human-Computer Interaction Series,
Springer. Editors: Georgios Paliouras, Symeon Papadopoulos, Dimitrios
Vogiatzis, and Yiannis Kompatsiaris. December, 2015. DOI
10.1007/978-3-319-23835-7
- Shamanth Kumar,
Fred Morstatter and Huan Liu. ``Analyzing Twitter data",
in
Twitter: A Digital Socioscope, Cambridge University Press. Editors:
Yelena Mejova, Ingmar Weber, and Michael W. Macy. May, 2015.
pdf
- Xia Hu and Huan Liu. ``Mining and Profiling in Social media",
International Encyclopedia of Digital Communication
and Society, Blackwell-Wiley in association with the International Communication Association. Editors: Robin Mansell and Peng Hwa Ang.
DOI: 10.1002/9781118767771. February 9th, 2015.
pdf
- Mohammad Ali Abbasi, Jiliang
Tang, and Huan Liu. ``Trust Aware Recommender Systems", in
Machine Learning
based Computational Trust, Editors: Xin Liu, Anwitaman Datta, and Ee-Peng
Lim. Chapman & Hall/CRC Press. October 29, 2014.
pdf
-
Nitin Agarwal, Debanjan
Mahata, and Huan Liu. "Time and Event Driven Modeling of Blogger Influence",
Encyclopedia of Social Network Analysis and Mining (ESNAM), Springer.
Editors: Reda Alhajj and Jon Rokne, 2014.
- Jiliang Tang, Salem
Alelyani, and Huan Liu. ``Feature Selection for Classification: A Review",
in Data
Classification: Algorithms and Applications, Editor: Charu Aggarwal. CRC
Press, 2014.
pdf
- Zhuo Feng, Pritam Gundecha, and Huan Liu. "Social Provenance",
Encyclopedia of Social Network Analysis and Mining
(ESNAM), Springer. Editors: Reda Alhajj and Jon Rokne,
2014.
- Huiji Gao and Huan Liu.
``Data Analysis on Location-Based Social Networks" in
Mobile Social
Networking: An Innovative Approach, Editors: Alvin Chin and Daqing Zhang,
Springer, 2014.
pdf
- Salem Alelyani, Jiliang
Tang, and Huan Liu. ``Feature Selection for Clustering: A Review", in Data Clustering:
Algorithms and Applications, Editors: Charu Aggarwal and Chandan Reddy. CRC
Press, 2013.
pdf.
- Pritam Gundecha and Huan
Liu. ``Mining Social Media: A Brief Introduction", Tutorials in Operations
Research - New Directions in Informatics, Optimization, Logistics, and
Production, pp 1 - 17. Edior: Pitu B. Mirchandani, INFORMS, 2012.
slides
- Xia Hu and Huan Liu. ``Text Analytics in Social Media" in
Mining Text Data, Editor: Charu C. Aggawal and Chengxiang Zhai , Springer. pp 385 - 414. March, 2012.
- Geoffrey Barbier and Huan Liu. "Data Mining in Social Media" in
Social Network Data Analytics, Editor: Charu C. Aggawal, Springer, Boston/Dordrecht/London,
pp 327 -352. March, 2011.
- L. Tang and H. Liu.
"Understanding Group Structures and Properties in Social Media", in Link
Mining: Models, Algorithms and Applications, Editors: Philip Yu,
Jiawei Han, and Christos Faloutsos. Springer. pp 163 - 185. 2010.
- L. Tang and H. Liu. "Graph
Mining and Applications to Social Network Analysis", in Managing and Mining
Graph Data, Editors: Charu Aggarwal and Haixun Wang. Springer. February,
2010.
- H. Liu. "Feature Selection:
An Overview", in Encyclopedia of Machine Learning, Claude Sammut and
Geoffrey I. Webb (Ed.),
Springer. September, 2010
- H. Liu and Z. Zhao.
"Manipulating Data and Dimensionality Reduc-tion Methods: Feature
Selection", in Encyclopedia of Complexity and Systems Science, Robert Meyers
(Ed.), Springer. Part 13, pp 5348 - 5359. Springer. 2009.
DOI: 10.1007/978-0-387-30440-3_317.
- N. Agarwal and H. Liu.
"Trust in Blogosphere", in Encyclopedia of Database Systems (EDBS).
Part 20, pp. 3187-3191. Editors: Ling Liu and M. Tamer Özsu. SpringerLink. 2009.
DOI:10.1007/978-0387-39940-9_348.
- N. Agarwal, H. Liu, J.
Zhang. "A Study of Friendship Networks and Blogosphere", Handbook of
Research on Text and Web Mining
Technologies, Editors: M. Song and Y. Wu . Information Science Reference (an
imprint of IGI Global). pp. 646-669, 2009.
- P.
Refaeilzadeh, L. Tang,
and H. Liu. "Cross Validation", in Encyclopedia of Database
Systems (EDBS), Editors: Ling Liu and M. Tamer Özsu. Springer, pp6.
2009..
- N. Agarwal, H. Liu, J.J. Salerno, P.S. Yu. "Searching for
`Familiar Strangers' on Blogosphere",Next Generation of Data Mining, Editors: Hillol Kargupta, Jiawei Han, Philip Yu, RajeevMotwani, Vipin
Kumar, Chapman & Hall/CRC Press, pp 295 - 315, 2009.
- M. Dash and H. Liu.
"Dimensionality Reduction", in Encyclopedia of Computer Science
and Engineering, John Wiley & Sons, Inc. Volume 2, pages 958-966. The
ISBN for the 5-Volume set is 978-0-471-38393-2. Benjamin W. Wah, Editor,
published in Hoboken, NJ, January 2009. draft pdf
- Sai Moturu, Lance Parsons, Zheng Zhao, and Huan Liu."Integrative Data
Analysis for Biological Discovery", in Encyclopedia of Data Warehousing and
Mining, 2nd Edition, Editor: John Wang. Idea Group, Inc. pp 1058 -- 1065, September, 2008.
- Z. Zhao and H. Liu.
"On Interacting Features in Subset Selection", in Encyclopedia
of Data Warehousing and Mining, 2nd Edition, Editor: John Wang. Idea Group, Inc. pp 1079 --
1084, September, 2008.
- L. Tang, H. Liu, and J.
Zhang. "Taxonomy Adaptation for Hierarchical Content
Categorization", in Encyclopedia of Data Warehousing and Mining, 2nd
Edition, Editor: John Wang. Idea Group, Inc. pp 178 -- 182, September, 2008.
- K. Selcuk Candan, Jong Wook
Kim, Huan Liu, Reshma Suvarna, and Nitin Agarwal. "Spatial
Transformations for Identifying Mappings in Hierarchical Media Data",
in Multimedia Data Mining and Knowledge Discovery, Editors: Valery A.
Petrushin and Latifur Khan, Springer, 2006.
- L. Yu and H. Liu.
"Data Mining Methods for Microarray Data Analysis", in
Encyclopedia
of Data Warehousing and Mining, Editor:
John Wang, Idea Group
Inc. 2005.
- H. Liu and L. Yu,
"Instance Selection", in
Encyclopedia
of Data Warehousing and Mining, Editor:
John Wang, Idea Group
Inc. 2005. 2nd Edition, pp 1041 -- 1045, September 2008.
- H. Liu, A. Mandvikar, and
P.G. Foschi, "An Active Learning Approach to Egeria densa Detection
in Digital Imagery", in New Generation of Data Mining
Applciations,
pdf,
IEEE, Feb. 2005.
- H. Liu, H. Motoda, and L.
Yu, "Feature Extraction, Selection, and Construction", in
The Handbook of Data Mining, Lawrence Erlbaum Associates, Inc. Publishers.
Editor: N. Ye. PP 409 - 423. 2003.
- H. Motoda and H. Liu,
"Feature Selection", section contribution to Handbook of
Data Mining and Knowledge Discovery, Oxford University Press, New York.
Editors: W. Klösgenh and J. Zytkow. PP 208 - 213, 2002.
- H. Motoda and H. Liu,
"Feature Aggregation", section contribution to Handbook of
Data Mining and Knowledge Discovery, Oxford University Press, New York.
Editors: W. Klösgenj and . Zytkow. PP 214 - 2172002.
- H. Liu and H. Motoda,
"Data Reduction via Instance Selection", in Instance
Selection and Construction for Data Mining, Editors: H. Liu and H. Motoda,
Kluwer Academic Publishers, Boston, USA, February 2001. pp 3--20.
- B. Gu, F. Hu, and H. Liu,
"Sampling: Knowing Whole from Its Part", in Instance
Selection and Construction for Data Mining, Editors: H. Liu and H. Motoda,
Kluwer Academic Publishers,
Boston,
USA,
February 2001. pp 21--38.
- M. Dash and H. Liu,
"Unsupervised Feature Ranking and Selection", in Knowledge
Discovery for Business Information Systems. Editors: W. Abramowicz and J.
Zurada, Kluwer Academic Publishers,
Boston,
USA, Dec.
2000. pp 67--88.
- H. Liu and H. Motoda,
"Less Is More", in Feature Extraction, Construction and
Selection: A Data Mining Perspective,
Kluwer Academic
Publishers. Pages: 3 - 12. Editors: H. Liu and H. Motoda. July 1998.
- R. Setiono and H. Liu,
"Feature Extraction via Neural Networks", in Feature
Extraction, Construction and Selection: A Data Mining Perspective,
Kluwer Academic
Publishers. Pages: 191 - 204. Editors: H. Liu and H. Motoda. July
1998.
- H. Liu, "A Family of
Efficient Rule Generators", Encyclopedia of Computer Science and
Technology, Volume 39, Marcel Dekker, Inc.,
New York. Pages: 15 - 28. Editors:
Allen Kent and James G. Williams. 1998.
postscript.
Book Review
- "Machine Learning,
Neural and Statistical Classification" edited by D. Michie, D.J.
Spielhalter and C.C. Taylor. SIGART BULLETIN, - A Quarterly Publication of
ACM, vol.7 no.1. (January 1996):16.
- "Neural Networks for
Statistical Modeling" by M. Smith. The Australian Computer Journal,
vol. 25, no. 4 (November 1993): 165.
- "AI in Engineering
Design" edited by C. Tsong and D. Sriram. The Australian Computer
Journal, vol. 25, no. 4 (November 1993): 163.
Conference Patent Journal
Workshop Book
Latest revision: 2/20/2021