Jundong Li [CV]

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PhD Student
Data Mining and Machine Learning Laboratory
School of Computing, Informatics, and Decision Systems Engineering
Arizona State University

Email: jundong.li at asu dot edu

Personal Information

I am a 5th (final) year PhD student of Computing Science and Engineering, Arizona State University. I work as a research assistant at Data Mining and Machine Learning Laboratory, my advisor is Professor Huan Liu.

Before that, I obatained BEng degree from College of Computer Science and Technology, Zhejiang University in 2012 and MSc degree from Department of Computing Science, University of Alberta in 2014. My advisor was Professor Osmar R. Zaïane at University of Alberta. I was interning in Yahoo! Research at Sunnyvale, CA in 2016 Summer.

I am now on the academic job market looking for a tenture-track faculty position. Feel free to reach me if you find a match.

Research Interest

My research interest is generally in data mining and machine learning and their applications in social media.

Software

We release an open-source feature selection repository (scikit-feature):
Project Webpage
Technical Survey Paper
Github Link

News and Blog Coverage:
scikit-feature: Open-Source Feature Selection Repository in Python
5 Machine Learning Projects You Can No Longer Overlook
Pulse: The Starting Point for Feature Selection
What is Dim Reduction & Feature Selection

Publications [Google Scholar] [DBLP]

Preprint:

Tutorials:

Book Chapters:

Journal Papers:

  1. A General Embedding Framework for Heterogeneous Information Learning in Large-scale Networks [pdf] [bib]
    Xiao Huang, Jundong Li, Na Zou, and Xia Hu
    ACM Transactions on Knowledge Discovery from Data (TKDD), 2018 (To Appear)

  2. Towards Privacy Preserving Social Recommendation under Personalized Privacy Settings [pdf] [bib]
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang
    World Wide Web Journal (WWWJ), 2018 (To Appear)

  3. Exploiting Multi-Label Information for Noise Resilient Feature Selection [pdf] [bib]
    Ling Jian, Jundong Li, and Huan Liu
    ACM Transactions on Intelligent Systems and Technology (TIST), 9(5): 52:1-52:23, 2018

  4. Toward Online Node Classification on Streaming Networks [pdf] [bib]
    Ling Jian, Jundong Li*, and Huan Liu (* corresponding author)
    Data Mining and Knowledge Discovery (DMKD), 32(1): 231-257 (2018).

  5. Feature Selection: A Data Perspective [pdf] [bib]
    Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, and Huan Liu
    ACM Computing Surveys (CSUR), 50(6): 94:1-94:45, 2017.

  6. Exploiting Expertise Rules for Statistical Data-Driven Modeling [pdf] [bib]
    Ling Jian, Jundong Li, and Shihua Luo
    IEEE Transactions on Industrial Electronics (TIE), 64(11): 8647-8656, 2017

  7. Challenges of Feature Selection for Big Data Analytics [pdf] [bib]
    Jundong Li and Huan Liu
    IEEE Intelligent System, 32(2): 9-15, 2017

  8. Budget Online Learning Algorithm for Least Squares SVM [pdf] [bib]
    Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, and Lei Li
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 28(9): 2076-2087, 2017

  9. Exploiting Statistically Significant Dependent Rules for Associative Classification [pdf] [bib]
    Jundong Li and Osmar R. Zaïane
    Intelligent Data Analysis: An International Journal, 21(5): 1155-1172, 2017

  10. On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers [pdf] [bib]
    Jundong Li, Aibek Adilmagambetov, M. Shazan M. Jabbar, Osmar R. Zaïane, Alvaro Osornio-Vargas, and Osnat Wine
    GeoInformatica, 20(4): 651-692, 2016

Conference Papers:

2019:

  1. XBully: Cyberbullying Detection within a Multi-Modal Context [pdf] [bib]
    Lu Cheng, Jundong Li, Yasin N. Silva, Deborah Hall, and Huan Liu
    In Proceedings of the 2019 ACM International Conference on Web Search and Data Mining (WSDM), Melbourne, Australia, Feb 11-15, 2019

  2. Interactive Anomaly Detection on Attributed Networks [pdf] [bib]
    Kaize Ding, Jundong Li, and Huan Liu
    In Proceedings of the 2019 ACM International Conference on Web Search and Data Mining (WSDM), Melbourne, Australia, Feb 11-15, 2019

2018:

  1. Interactive Unknowns Recommendation in E-Learning Systems [pdf] [bib] (Regular Paper)
    Shan-Yun Teng, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, and Huan Liu
    In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM), Singapore, Nov 17-20, 2018

  2. Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation [pdf] [bib]
    Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, and Huan Liu
    In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), Turin, Italy, Oct 22-28, 2018

  3. On Interpretation of Network Embedding via Taxonomy Induction [pdf] [bib]
    Ninghao Liu, Xiao Huang, Jundong Li, and Xia Hu
    In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), London, UK, Aug 19-23, 2018

  4. INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process [pdf] [bib]
    Ruocheng Guo, Jundong Li, and Huan Liu
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-ECAI), Stockholm, Sweden, July 13-19, 2018

  5. ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks [pdf] [bib]
    Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, and Qinghua Zheng
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-ECAI), Stockholm, Sweden, July 13-19, 2018

  6. Understanding and Predicting Delay in Reciprocal Relations [pdf] [bib]
    Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, and Huan Liu
    In Proceedings of the 27th International Conference on World Wide Web (WWW), Lyon, France, Apr 23-27, 2018

  7. Multi-Layered Network Embedding [pdf] [bib]
    Jundong Li*, Chen Chen*, Hanghang Tong, and Huan Liu (* equal contribution)
    In Proceedings of the 18th SIAM International Conference on Data Mining (SDM), San Diego, California, USA, May 3-5, 2018

  8. Toward Relational Learning with Misinformation [pdf] [bib]
    Liang Wu, Jundong Li, Fred Morstatter, and Huan Liu
    In Proceedings of the 18th SIAM International Conference on Data Mining (SDM), San Diego, California, USA, May 3-5, 2018

  9. Unsupervised Personalized Feature Selection [pdf] [bib]
    Jundong Li, Liang Wu, Harsh Dani, and Huan Liu
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, Feb 2-7, 2018

  10. Personalized Privacy-Preserving Social Recommendation [pdf] [bib]
    Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, Feb 2-7, 2018

  11. Streaming Link Prediction on Dynamic Attributed Networks [pdf] [bib]
    Jundong Li, Kewei Cheng, Liang Wu, and Huan Liu
    In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), Los Angeles, Carlifornia, Feb 5-9, 2018

  12. Exploring Expert Cognition for Attributed Network Embedding [pdf] [bib]
    Xiao Huang, Qingquan Song, Jundong Li, and Xia Hu
    In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), Los Angeles, Carlifornia, Feb 5-9, 2018

2017:

  1. Attributed Network Embedding for Learning in a Dynamic Environment [pdf] [bib] [code]
    Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, and Huan Liu
    In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), Pan Pacific Singapore, Nov 6-10, 2017

  2. Sentiment Informed Cyberbullying Detection in Social Media [pdf] [bib]
    Harsh Dani, Jundong Li, and Huan Liu
    In Proceedings of the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Skopje, Macedonia, Sept 18-22, 2017

  3. Radar: Residual Analysis for Anomaly Detection in Attributed Networks [pdf] [bib] [code]
    Jundong Li, Harsh Dani, Xia Hu, and Huan Liu
    In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, Aug 19-25, 2017

  4. Reconstruction-based Unsupervised Feature Selection: An Embedded Approach [pdf] [bib]
    Jundong Li, Jiliang Tang, and Huan Liu
    In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, Aug 19-25, 2017

  5. Unsupervised Feature Selection in Signed Social Networks [pdf] [bib] [video]
    Jundong Li*, Kewei Cheng*, and Huan Liu (* equal contribution)
    In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Halifax, Canada, Aug 13-17, 2017

  6. Toward Personalized Relational Learning [pdf] [bib]
    Jundong Li, Liang Wu, Osmar R. Zaïane, and Huan Liu
    In Proceedings of the 17th SIAM International Conference on Data Mining (SDM), Houston, Texas, USA, Apr 27-29, 2017

  7. Gleaning Wisdom From The Past: Early Detection of Emerging Rumors in Social Media [pdf] [bib]
    Liang Wu, Jundong Li, Xia Hu, and Huan Liu
    In Proceedings of the 17th SIAM International Conference on Data Mining (SDM), Houston, Texas, USA, Apr 27-29, 2017

  8. Accelerated Attributed Network Embedding [pdf] [bib] [code]
    Xiao Huang, Jundong Li, and Xia Hu
    In Proceedings of the 17th SIAM International Conference on Data Mining (SDM), Houston, Texas, USA, Apr 27-29, 2017

  9. Understanding and Discovering Deliberate Self-harm Content in Social Media [pdf] [bib]
    Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, and Yi Chang
    In Proceedings of the 26th International World Wide Web Conference (WWW), Perth, Australia, Apr 3-7, 2017

  10. Unsupervised Sentiment Analysis with Signed Social Networks [pdf] [bib]
    Kewei Cheng, Jundong Li, Jiliang Tang, and Huan Liu
    In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), San Francisco, CA, USA, Feb 4-9, 2017

  11. Label Informed Attributed Network Embedding [pdf] [bib] [code]
    Xiao Huang, Jundong Li, and Xia Hu
    In Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM), Cambridge, UK, Feb 6-10, 2017

2016:

  1. Toward Time-Evolving Feature Selection on Dynamic Networks [pdf] [bib]
    Jundong Li, Xia Hu, Ling Jian, and Huan Liu
    In Proceedings of the 16th IEEE International Conference on Data Mining (ICDM), Barcelona, Spain, Dec 12-15, 2016

  2. FeatureMiner: A Tool for Interactive Feature Selection (demo paper) [pdf] [bib] [demo]
    Kewei Cheng, Jundong Li, and Huan Liu
    In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM), Indianapolis, USA, Oct 24-28, 2016

  3. Multi-Label Informed Feature Selection [pdf] [bib] [slides] [code]
    Jundong Li*, Ling Jian*, Kai Shu, and Huan Liu (* equal contribution)
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, USA, July 9-15, 2016

  4. Robust Unsupervised Feature Selection on Networked Data [pdf] [bib] [slides] [code]
    Jundong Li, Xia Hu, Liang Wu, and Huan Liu
    In Proceedings of the 16th SIAM International Conference on Data Mining (SDM), Miami, Florida, USA, May 5-7, 2016

2015:

  1. Unsupervised Streaming Feature Selection in Social Media [pdf] [bib] [slides]
    Jundong Li, Xia Hu, Jiliang Tang, and Huan Liu
    In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), Melbourne, Australia, Oct 19-23, 2015

  2. Associative Classification with Statistically Significant Positive and Negative Rules [pdf] [bib]
    Jundong Li and Osmar R. Zaïane
    In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), Melbourne, Australia, Oct 19-23, 2015

2014:

  1. Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects [pdf] [bib]
    Jundong Li, Osmar R. Zaïane, and Alvaro Osornio-Vargas
    In Proceedings of the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Munich, Germany, Sep 2-4, 2014

  2. Active Learning Strategies for Semi-Supervised DBSCAN [pdf] [bib]
    Jundong Li, Jörg Sander, Ricardo G.J.B Campello, and Arthur Zimek.
    In Proceedings of the 27th Canadian Conference on Artificial Intelligence (AI), Montreal, Canada, May 6-9, 2014

Abstract and Posters:

Services

Conference Program Committee: Journal Reviewer: Conference External Reviewer: