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  • 个人简历
  • 教学
  • 研究领域
  • 研究成果
  • 奖励荣誉
  • 概况

    教育经历

    Ph.D. in Computer Science, Stanford University, 2011 - 2017.
    Dissertation: Exploiting Shared Structures in Large GPS Trajectory Datasets under Uncertainty
    Advisor: Leonidas J. Guibas
    B.A. Double major in Computer Science and Mathematics, Smith College, 2007 - 2011.
    Honors Thesis: Inverse Kinematics Methods for the Protein Loop Closure Problem
    Advisor: Ileana Streinu

    工作经历

    Assistant Professor October 2019 - Present
    Data Science and Information Technology Research Center, Tsinghua-Berkeley Shenzhen Institute.

    IoT and Cyber-Physical System Lab, Tsinghua-Berkeley Shenzhen Institute.
    Principal Investigator: Lin Zhang

    Graduate Research Assistant July 2012 - December 2016
    Geometric Computing Lab, Stanford University.
    Advisor: Leonidas J. Guibas

    Graduate Research Assistant April 2011 - June 2011
    First Year Research Rotation Program, Computer Science Department, Stanford University.
    Advisor: Kenneth Salisbury

    Graduate Research Assistant September 2011 - March 2011
    First Year Research Rotation Program, Computer Science Department, Stanford University.
    Advisor: Leonidas J. Guibas

    Summer Intern May - August 2011
    Linkage Lab, Smith College

    Undergraduate Fellow May 2009 - April 2011
    Mellon Mays Undergraduate Research Fellowship Program, Smith College
    Faculty mentor: Ileana Streinu

    Research Assistant November 2007 - May 2009
    Ileana Streinu, Computer Science Department, Smith College

    Undergraduate Researcher May - August 2008
    Women in Science Summer Research Fellows Program, Clark Science Center, Smith College


    学术兼职

    社会兼职

  • 教学课程

    研究生指导

  • 研究领域

    主要项目

  • 代表性论文

    Papers

    Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li, Dimitrios Gunopulos, and Leonidas Guibas. 2019.

    HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments. In Proceedings

    of the 27th SIGSPATIAL International Conference on Advances in Geographic Information Systems

    (SIGSPATIAL ’19), 2019

    Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang and Lin Zhang, Mining Mobility Patterns with Trip-Based

    Traffic Analysis Zones: A Deep Feature Embedding Approach, In Proceedings of 2019 IEEE Intelligent

    Transportation Systems Conference (ITSC), 2019

    Yajie Bao*, Yang Li*, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir R. Zamir, and Leonidas

    Guibas. An Information- Theoretic Metric to Transferability for Task Transfer Learning. In Proceedings

    of the 26th IEEE International Conference on Image Processing (ICIP), 2019. (*Joint first author)

    Lu Li, Yang Li, Xiangxiang Xu, Shao-Lun Huang and Lin Zhang, Maximal Correlation Embedding

    Network for Multilabel Learning with Missing Labels, In Proceedings of 2019 IEEE International

    Conference on Multimedia and Expo (ICME), July 2019

    Fei Ma, Wei Zhang, Yang Li, Shao-Lun Huang, and Lin Zhang, An End-to-End Learning Approach

    for Multimodal Emotion Recognition: Extracting Common and Private Information, In Proceedings of

    2019 IEEE International Conference on Multimedia and Expo (ICME), July 2019

    Yang Li, Dimitrios Gunopulos, Cewu Lu and Leonidas Guibas, Personalized Travel Time Prediction

    Using a Small Number of Probe Vehicles, ACM Transactions on Spatial Algorithms and Systems,

    Special Issue on Urban Mobility: Algorithms and Systems, 2019.

    Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang and Lin Zhang?ijNMining Regional Mobility Patterns ˇ

    for Urban Dynamic Analytics, Mobile Networks and Applications, July 2019, Springer

    Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, and Lin Zhang. Joint Mobility Pattern Mining with

    Urban Region Partitions. In EAI International Conference on Mobile and Ubiquitous Systems: Computing,

    Networking and Services (MobiQuitous ’18), 2018 (Best Paper Award)

    Yang Li, Dimitrios Gunopulos, Cewu Lu and Leonidas Guibas, Urban Travel Time Prediction Using

    a Small Number of GPS-Floating Cars, 25th SIGSPATIAL International Conference on Advances in

    Geographic Information Systems (ACM SIGSPATIAL ’17), 2017.

    Yang Li, Yangyan Li, Dimitrios Gunopulos, and Leonidas Guibas, Knowledge-Based Trajectory Completion

    from Sparse GPS Samples, In Proceedings of the 24th SIGSPATIAL International Conference on Advances

    in Geographic Information Systems (ACM SIGSPATIAL ’16), 2016

    Yang Li, Qixing Huang, Michael Kerber, Li Zhang and Leonidas Guibas, Large-Scale Joint Map Matching

    of GPS Traces, In Proceedings of the 21th SIGSPATIAL International Conference on Advances in

    Geographic Information Systems (GIS ’13), 2013.

    Naomi Fox, Filip Jagodzinski, Yang Li, Ileana Streinu, KINARI-Web: A Web Server for Protein Rigidity

    and Flexibility Analysis , Nucleic Acids Research, 39 (Web Server Issue), 2011.

    Dominique Thiebaut, Yang Li, Diana Jaunzeikare, Alexandra Cheng, Ellysha Raelen Recto, Gillian

    Riggs, Xia Ting Zhao, Tonje Stolpestad, and Cam Le T Nguyen, Processing Wikipedia Dumps: A Case

    Study Comparing the XGrid and MapReduce Approaches, , in Proceedings of 1st International Conference

    on Cloud Computing and Services Science (CLOSER 2011), Noordwijkerhout, NL, May 2011.

    Naomi Fox, Filip Jagodzinski, Yang Li, and Ileana Streinu, A Web-Based Tool for Rigidity Analysis of

    Proteins in Biotechnology and Bioinformatics Symposium (BIOT 2009), Lincoln, Nebraska, 2009.


    Posters and Abstracts

    Lu Li, Yang Li, Xiangxiang Xu and Lin Zhang, A Maximal Correlation Embedding Method for Multilabel

    Human Context Recognition, Poster abstract accepted to the 18th ACM/IEEE Conference on Information

    Processing in Sensor Networks (IPSN’19), Montreal , Canada, April, 2019

    Yang Li and Leonidas Guibas, Leader-Follower Relationships in Trajectories – a Case Study, Abstract accepted

    for oral presentation at the 2012 Computational Geometry: Young Researchers Forum, Chapel Hill, NC,

    June, 2012

    Yang Li and Ileana Streinu, Finding Inverse Kinematics Solutions of Short Robotic Chains, Poster abstract

    published in Proceedings of Celebrating Collaborations 2010 , Smith College, April, 2010

    Yang Li and Ileana Streinu, Inverse Kinematics Algorithm on Short Robotic Chains, Poster abstract published

    in Proceedings of Women in Sciences Summer Research, Smith College, September, 2009

    Yang Li, Naomi Fox, Filip Jagodzinski and Ileana Streinu, Protein Flexibility Analysis: A Friendly Interface,

    Poster abstract published in Proceedings of Celebrating Collaborations 2009 , Smith College, April, 2009

    Yang Li, Naomi Fox, Filip Jagodzinski and Ileana Streinu, Developing GUI Front-end and Output Visualization

    for Protein Flexibility Analysis Tool, Poster abstract published in Proceedings of Women in Sciences Smith

    Summer Research, September, 2008


    代表性著作

    主要专利成果

    其他成果

  • 荣誉奖项

    Stanford Graduate Fellowship in Science and Engineering, Stanford University (2012)
    Highest Honors Thesis in Computer Science, Smith College (2011);
    Pokora Prize for Excellence in Mathematics, Smith College (2011);
    Bert Mendelson Prize for excellence in computer science, Smith College, (2009, 2011),
    Mellon Mays Undergraduate Research Fellowship, Smith College, 2009-2011.
    Dean’s List and First Group Scholar, Smith College, 2007-2011,
    Smith Summer Undergraduate Research Fellowship, Smith College, Summer 2008.