Lidan Wang

2128 Siebel Center
Computer Science Department
University of Illinois
Urbana-Champaign, IL 61801
Email: lidan@illinois.edu
[CV]



About Me

I am a post-doctoral researcher in the Data Mining Group at the University of Illinois, Urbana-Champaign (since January 2013), working with Professor Jiawei Han. I received my Ph.D. in Computer Science in Summer 2012 from the University of Maryland, College Park, working with Prof. Jimmy Lin.

My research interests are data mining, large-scale data analytics, information retrieval, and machine learning, with a focus on efficient, scalable, and robust techniques for mining and search large-scale structured data (e.g., information networks and social networks), and unstructured data (e.g., text data from the Web and social media). I work with researchers from diverse domains to advance state-of-the-art mining and retrieval techniques for large-scale datasets. I have a Master's degree from the Computer Science Department, University of Wisconsin, Madison, and a Bachelor's degree from the Computer Science and Engineering Department, University of Florida.

Awards

  • Best Paper Honorable Mention Award, SIGIR 2012 (acceptance rate 20%)
  • Best paper award runner up, CIKM 2010 (acceptance rate 13.4%)
  • Best Paper Award, EWSN 2008 (acceptance rate 21%)
  • Dean's Fellowship from the Dept. of Computer Science, Univ. of Maryland

  • Recent Papers

    ClusCite: Effective Citation Recommendation by Information Network-Based Clustering
    Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, and Jiawei Han
    Proceeding of KDD, 2014 To appear

    Learning to Efficiently Rank on Big Data
    Lidan Wang, Jimmy Lin, Donald Metzler, Jiawei Han
    Proceeding of WWW, 2014 Conference Tutorial

    Research-Insight: Providing Insight on Research by Publication Network Analysis
    Fangbo Tao, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jaiwei Han, Rucha Kanade, Yizhou Sun, Chi Wang, Lidan Wang, Tim Weninger
    Proceedings of SIGMOD, 2013

    AMETHYST: A System for Mining and Exploring Topical Hierarchies of Heterogeneous Data
    Marina Danilevsky, Chi Wang, Fangbo Tao, Son Nguyen, Gong Chen, Nihit Desai, Lidan Wang, Jiawei Han
    Proceedings of KDD, 2013

    Robust Ranking Models via Risk-Sensitive Optimization
    Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompson
    Proceedings of SIGIR, 2012 pdf
    Best Paper Honorable Mention Award

    A Cascade Ranking Model for Efficient Ranked Retrieval
    Lidan Wang, Jimmy Lin, Donald Metzler
    Proceedings of SIGIR, 2011 pdf

    Ranking under Temporal Constraints
    Lidan Wang, Donald Metzler, Jimmy Lin
    Proceedings of CIKM, 2010 pdf
    Best paper award finalist

    Learning to Efficiently Rank
    Lidan Wang, Jimmy Lin, Donald Metzler
    Proceedings of SIGIR, 2010 pdf

    Context-based Message Expansion for Disentanglement of Interleaved Text Conversations
    Lidan Wang, Douglas Oard
    Proceedings of NAACL/HLT, 2009 pdf

    Predictive Modeling-based Data Collection in Sensor Networks
    Lidan Wang, Amol Deshpande
    Proceedings of EWSN, 2008 pdf
    Best Paper Award

    Matching Person Names Through Name Transformation
    Jun Gong, Lidan Wang, Douglas Oard
    Proceedings of CIKM, 2009 pdf


    Workshop and Technical Reports

    Of Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search
    Jimmy Lin, Donald Metzler, Tamer Elsayed, Lidan Wang
    Proceedings of TREC, 2009 pdf

    UMD and USC/ISI: TREC 2010 Web Track Experiments with Ivory
    Tamer Elsayed, Nima Asadi, Donald Metzler, Lidan Wang, and Jimmy Lin
    Proceedings of TREC, 2010 pdf

    Badger: An Entropy-based Web Search Clustering System with Randomization and Voting
    Lidan Wang, Chloe Schulze
    Technical Report 1537, Computer Science Department, University of Wisconsin, Madison, 2005 pdf

    Aggregate Sharing in Stream Databases
    Lidan Wang, Jeffrey Freschl
    Technical Report 1536, Computer Science Department, University of Wisconsin, Madison, 2005 pdf

    Professional Activities

  • Program Committee Member: SIGIR '14, CIKM '13, SIGIR '13, CIKM '12, SIGIR '12, NAACL-HLT '12
  • Journal Reviewer: ACM Transactions on Information Systems (TOIS).