Jundong Li [CV]

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Ph.D.
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 obtained my Ph.D. degree from Computing Science and Engineering, Arizona State University. I worked 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 will join University of Virginia as a tenure-track Assistant Professor from Fall 2019. I am actively looking for self-motivated Ph.D. students (fully funded) to work with me in the areas of data mining and machine learning. Please drop me an email if you are interested.

Research Interest

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

What's New

  • [2019/07] Our paper on adversarial machine learning through visual analytics is accepted by IEEE VAST 2019, and IEEE TVCG.
  • [2019/06] Successfully defended my Ph.D. dissertation.
  • [2019/06] One first-authored paper on network embedding is accepted by ASONAM 2019.
  • [2019/06] Received KDD 2019 Travel Award.
  • [2019/05] Our demo paper on interactive spammer detection is accepted by IJCAI 2019.
  • [2019/05] Our paper on personalized cyberbullying detection is accepted by IJCAI 2019.
  • [2019/05] Served as a PC member of CIKM 2019.
  • [2019/04] One first-authored paper on unsupervised feature selection is accepted by KDD 2019 as an oral.
  • [2019/04] We will give a whole day tutorial on learning from networks at KDD 2019.
  • [2019/04] Served as a PC member of IEEE Bigdata 2019.
  • [2019/04] Received CIDSE Doctoral Fellowship.
  • [2019/04] Received SDM 2019 Travel Award.
  • 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]
      Xiao Huang, Jundong Li, Na Zou, Xia Hu
      ACM Transactions on Knowledge Discovery from Data (TKDD), 2018 (To Appear)

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

    3. Exploiting Multi-Label Information for Noise Resilient Feature Selection [pdf]
      Ling Jian, Jundong Li, 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]
      Ling Jian, Jundong Li*, Huan Liu (* corresponding author)
      Data Mining and Knowledge Discovery (DMKD), 32(1): 231-257 (2018).

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

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

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

    8. Budget Online Learning Algorithm for Least Squares SVM [pdf]
      Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, 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]
      Jundong Li, 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]
      Jundong Li, Aibek Adilmagambetov, M. Shazan M. Jabbar, Osmar R. Zaïane, Alvaro Osornio-Vargas, Osnat Wine
      GeoInformatica, 20(4): 651-692, 2016

    Conference Papers:

    2019:

    1. Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics [pdf]
      Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski
      IEEE Conference on Visual Analytics Science and Technology (VAST) & IEEE Transactions on Visualization and Computer Graphics (TVCG), 2019

    2. Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation [pdf] [code]
      Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu
      IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019

    3. Adaptive Unsupervised Feature Selection on Attributed Networks [pdf]
      Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu
      ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019

    4. PI-Bully: Personalized Cyberbullying Detection with Peer Influence [pdf]
      Lu Cheng, Jundong Li, Yasin N. Silva, Deborah Hall, Huan Liu
      International Joint Conference on Artificial Intelligence (IJCAI), 2019

    5. Deep Structured Cross-Modal Anomaly Detection [pdf]
      Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
      International Joint Conference on Neural Networks (IJCNN), 2019

    6. Deep Anomaly Detection on Attributed Networks [pdf] [code]
      Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu
      SIAM International Conference on Data Mining (SDM), 2019

    7. Robust Factorization Machine: A Doubly Capped Norms Minimization [pdf]
      Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven Hoi
      SIAM International Conference on Data Mining (SDM), 2019

    8. Online Collaborative Filtering with Implicit Feedback [pdf]
      Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun
      International Conference on Database Systems for Advanced Applications (DASFAA), 2019

    9. Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search [pdf]
      Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng
      International Conference on Database Systems for Advanced Applications (DASFAA), 2019

    10. Interactive Anomaly Detection on Attributed Networks [pdf]
      Kaize Ding, Jundong Li, Huan Liu
      ACM International Conference on Web Search and Data Mining (WSDM), 2019

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

    2018:

    1. Interactive Unknowns Recommendation in E-Learning Systems [pdf]
      Shan-Yun Teng, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, Huan Liu
      IEEE International Conference on Data Mining (ICDM), 2018

    2. Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation [pdf] [code]
      Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
      ACM International Conference on Information and Knowledge Management (CIKM), 2018

    3. On Interpretation of Network Embedding via Taxonomy Induction [pdf] [code]
      Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu
      ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018

    4. INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process [pdf]
      Ruocheng Guo, Jundong Li, Huan Liu
      International Joint Conference on Artificial Intelligence (IJCAI-ECAI), 2018

    5. ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks [pdf] [code]
      Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
      International Joint Conference on Artificial Intelligence (IJCAI-ECAI), 2018

    6. Understanding and Predicting Delay in Reciprocal Relations [pdf]
      Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
      International Conference on World Wide Web (WWW), 2018

    7. Multi-Layered Network Embedding [pdf] [code] [errata]
      Jundong Li*, Chen Chen*, Hanghang Tong, Huan Liu (* equal contribution)
      SIAM International Conference on Data Mining (SDM), 2018

    8. Toward Relational Learning with Misinformation [pdf]
      Liang Wu, Jundong Li, Fred Morstatter, Huan Liu
      SIAM International Conference on Data Mining (SDM), 2018

    9. Unsupervised Personalized Feature Selection [pdf] [errata]
      Jundong Li, Liang Wu, Harsh Dani, Huan Liu
      AAAI Conference on Artificial Intelligence (AAAI), 2018

    10. Personalized Privacy-Preserving Social Recommendation [pdf]
      Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
      AAAI Conference on Artificial Intelligence (AAAI), 2018

    11. Streaming Link Prediction on Dynamic Attributed Networks [pdf]
      Jundong Li, Kewei Cheng, Liang Wu, Huan Liu
      ACM International Conference on Web Search and Data Mining (WSDM), 2018

    12. Exploring Expert Cognition for Attributed Network Embedding [pdf] [code]
      Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
      ACM International Conference on Web Search and Data Mining (WSDM), 2018

    2017:

    1. Attributed Network Embedding for Learning in a Dynamic Environment [pdf] [code]
      Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
      ACM International Conference on Information and Knowledge Management (CIKM), 2017

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

    3. Radar: Residual Analysis for Anomaly Detection in Attributed Networks [pdf] [code]
      Jundong Li, Harsh Dani, Xia Hu, Huan Liu
      International Joint Conference on Artificial Intelligence (IJCAI), 2017

    4. Reconstruction-based Unsupervised Feature Selection: An Embedded Approach [pdf] [code]
      Jundong Li, Jiliang Tang, Huan Liu
      International Joint Conference on Artificial Intelligence (IJCAI), 2017

    5. Unsupervised Feature Selection in Signed Social Networks [pdf] [video]
      Kewei Cheng*, Jundong Li*, Huan Liu (* equal contribution)
      ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017

    6. Toward Personalized Relational Learning [pdf] [errata]
      Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu
      SIAM International Conference on Data Mining (SDM), 2017

    7. Gleaning Wisdom From The Past: Early Detection of Emerging Rumors in Social Media [pdf]
      Liang Wu, Jundong Li, Xia Hu, Huan Liu
      SIAM International Conference on Data Mining (SDM), 2017

    8. Accelerated Attributed Network Embedding [pdf] [code]
      Xiao Huang, Jundong Li, Xia Hu
      SIAM International Conference on Data Mining (SDM), 2017

    9. Understanding and Discovering Deliberate Self-harm Content in Social Media [pdf]
      Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
      International World Wide Web Conference (WWW), 2017

    10. Unsupervised Sentiment Analysis with Signed Social Networks [pdf]
      Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
      AAAI Conference on Artificial Intelligence (AAAI), 2017

    11. Label Informed Attributed Network Embedding [pdf] [code]
      Xiao Huang, Jundong Li, Xia Hu
      ACM International Conference on Web Search and Data Mining (WSDM), 2017

    2016:

    1. Toward Time-Evolving Feature Selection on Dynamic Networks (short paper)[pdf]
      Jundong Li, Xia Hu, Ling Jian, Huan Liu
      IEEE International Conference on Data Mining (ICDM), 2016

    2. Multi-Label Informed Feature Selection [pdf] [code]
      Ling Jian*, Jundong Li*, Kai Shu, Huan Liu (* equal contribution)
      International Joint Conference on Artificial Intelligence (IJCAI), 2016

    3. Robust Unsupervised Feature Selection on Networked Data [pdf] [code]
      Jundong Li, Xia Hu, Liang Wu, Huan Liu
      SIAM International Conference on Data Mining (SDM), 2016

    2015:

    1. Unsupervised Streaming Feature Selection in Social Media [pdf]
      Jundong Li, Xia Hu, Jiliang Tang, Huan Liu
      ACM International Conference on Information and Knowledge Management (CIKM), 2015

    2. Associative Classification with Statistically Significant Positive and Negative Rules [pdf]
      Jundong Li, Osmar R. Zaïane
      ACM International Conference on Information and Knowledge Management (CIKM), 2015

    2014:

    1. Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects [pdf]
      Jundong Li, Osmar R. Zaïane, Alvaro Osornio-Vargas
      International Conference on Data Warehousing and Knowledge Discovery (DaWaK), 2014

    2. Active Learning Strategies for Semi-Supervised DBSCAN [pdf]
      Jundong Li, Jörg Sander, Ricardo G.J.B Campello, Arthur Zimek.
      Canadian Conference on Artificial Intelligence (AI), 2014

    Demos, Posters, and Abstract:

    Services

    Conference Program Committee: Journal Reviewer: Conference External Reviewer: