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 third 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.

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 (sickit-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]

Tutorials:

Book Chapters:

Journal Papers:

  1. Feature Selection: A Data Perspective [A Preprint from arXiv] [bib]
    Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang and Huan Liu

  2. Toward Online Learning on Streaming Networks [pdf] [bib]
    Ling Jian, Jundong Li and Huan Liu
    Data Mining and Knowledge Discovery (DMKD), 2017. (accepted with minor)

  3. Exploiting Expertise Rules for Statistical Data-Driven Modeling [pdf] [bib]
    Ling Jian, Jundong Li and Shihua Luo
    IEEE Transactions on Industrial Electronics (TIE), 2017. (To Appear)

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

  5. 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), 2016 (To Appear)

  6. 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

  7. Exploiting Statistically Significant Dependent Rules for Associative Classification [pdf] [bib]
    Jundong Li and Osmar R. Zaïane
    Intelligent Data Analysis: An International Journal, 2016 (To Appear)

Conference Papers:

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

  2. Understanding and Predicting Delay in Reciprocal Relations [A Preprint from arXiv] [bib]
    Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang and Huan Liu

  3. Radar: Residual Analysis for Anomaly Detection in Attributed Networks [pdf] [bib]
    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. 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

  6. 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

  7. Accelerated Attributed Network Embedding [pdf] [bib]
    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

  8. 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

  9. 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

  10. Label Informed Attributed Network Embedding [pdf] [bib]
    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

  11. 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

  12. 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

  13. Multi-Label Informed Feature Selection [pdf] [bib] [slides]
    Ling Jian*, Jundong Li*, 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

  14. Robust Unsupervised Feature Selection on Networked Data [pdf] [bib] [slides]
    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

  15. 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

  16. 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

  17. 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

  18. 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

Services

Conference Program Committee: Journal Reviewer: Conference External Reviewer: