Lidan Wang

3126 A.V. Williams Building
Computer Science Department
University of Maryland
College Park, MD 20742
Email: lidan@cs.umd.edu

About Me

I am an applied researcher at Microsoft. I received my Ph.D. in Computer Science from the University of Maryland, College Park, working with Prof. Jimmy Lin. My research interests include information retrieval, machine learning, and text mining, with an emphasis on efficient and scalable methods for managing, learning, and retrieving information from large-scale data. 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.

News

  • 8/14/12 Paper "Robust Ranking Models via Risk-Sensitive Optimization" won the Best Paper Honorable Mention Award at SIGIR 2012.
  • 4/10/12 Invited talk at Microsoft Research, Redmond
  • 2/20/12 Invited talk at Johns Hopkins University
  • 4/7/11 Paper "A Cascade Ranking Model for Efficient Ranked Retrieval" is accepted to SIGIR 2011.
  • 3/7/11 I will be doing a summer internship at Microsoft Research, Redmond.
  • 11/29/10 Thesis proposal: Learning to efficiently rank
  • 10/27/10 Presented paper "Ranking under Temporal Constraints" at CIKM 2010
  • 10/24/10 Source code of my CIKM 2010 paper has been released in Ivory
  • 7/20/10 Presented paper "Learning to Efficiently Rank" at SIGIR 2010
  • 7/19/10 Source code of my SIGIR 2010 paper has been released in Ivory

  • Refereed Conference Publications

    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

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

    Personal Name-Matching Through Name Transformation
    Jun Gong, Lidan Wang, Douglas Oard
    Proceedings of JCDL, 2009 pdf

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


    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

    Experience

  • Graduate Research Assistant, Computer Science Dept., Univ. of Maryland, College Park, Aug '06-now
  • Research Intern, Microsoft Research, Redmond, Summer 2011
  • Research & Teaching Assistant, Computer Science Dept., Univ. of Wisconsin, Madison, Aug '03-May '06
  • Research and Design Intern, IBM Silicon Valley Lab, Summer 2006

  • Professional Activities

  • Program Committee Member: SIGIR 2012, CIKM 2012, NAACL-HLT 2012, ECIR 2012, SIGIR 2011
  • Journal Reviewer: ACM Transactions on Information Systems (TOIS).

  • Other Academics Information

  • Relevant courses taken
    • CMSC723 - Computational Linguistic
    • CMSC828G - Link Mining and Dynamic Network Analysis
    • CMSC858K - Optimization Algorithms
    • CMSC828K - Data Streams and Sensor Data Management
    • CS760 - Machine Learning
    • STAT610 - Statistical Inference
    • CS776 - Advanced Bioinformatics
    • CS730 - Nonlinear Optimization
    • CS764 - Databases Management Systems
  • Courses served as TA for
    • CMSC131 - Object-Oriented Programming (at Maryland)
    • CS576 - Introduction to Bioinformatics (at Wisconsin)
    • CS776 - Advanced Bioinformatics (at Wisconsin)