Technical Program

June 23: Short CoursesChair: Ziyu Shao
  • Morning Sessions:8:30am to 12:30pm
  • Tutorial One: Sparse Representation [video]
  • Zhouchen Lin (Peking University) & John Wright (Columbia University)
  • Tutorial Two: Cloud Computing [video]
  • Zongpeng Li (University of Calgary, Canada) & Hong Xu (City University of Hong Kong)
  • Lunch Break12:30pm to 2:00pm
  • Afternoon Sessions:2:00pm to 6:00pm
  • Tutorial Three: Large-Scale Parallel and Distributed Optimization [video]
  • Wotao Yin (University of California at Los Angeles) & Tong Zhang (Baidu & Rutgers University)
  • Tutorial Four: Deep Learning and Its Applications in Face Recognition [video]
  • Shiguang Shan (Chinese Academy of Sciences) & Xiaogang Wang (The Chinese University of Hong Kong)
June 24: Symposium Day One [video]Chair: Yi Ma
  • Keynote Speech One8:30am to 9:30am
  • Stephen Boyd (Stanford University, USA):
    Convex Optimization: From embedded real-time to large-scale distributed
  • Keynote Speech Two9:30am to 10:30am
  • Babak Hassibi (California Institute of Technology, USA)
    Recovering Structured Signals via non-Smooth Convex Optimization: Precise Analysis using Comparison Lemmas
  • Tea Break10:30am to 10:45am
  • Session One: Compressed Sensing and Sparse Representation10:45am to 12:15pm
  • 1.Mark Davenport (Georgia Institute of Technology, USA):

    Localization Via Paired Comparisons

    2.John Wright (Columbia University, USA)

    Complete Dictionary Recovery over the Sphere

    3.Jingyi Yu (University of Delaware, USA)
    Big Data in Computational Imaging
  • Lunch Break12:15pm to 2:00pm
  • Keynote Speech Three2:00pm to 3:00pm
  • Inderjit Dhillon (University of Texas at Austin, USA)
    Proximal Newton Methods for Large-Scale Machine Learning
  • Session Two: Machine Learning (I)3:00pm to 4:30pm
  • 1.Tony Jebara (Columbia University, USA)

    Bethe Learning of Sparse High Tree-Width Graphical Models

    2.Zhi-Hua Zhou (Nanjing University, China)

    From AdaBoost to LDM

    3.Eric Xing (Carnegie Mellon University, USA)
    A New Platform for Distributed Machine Learning on Big Data
  • Tea Break4:30pm to 4:45pm
  • Session Three: Applications (I)4:45pm to 6:15pm
  • 1.X. Sean Wang (Fudan University, China)

    Data Management Issues in Big Data Analytics

    2.Dou Shen (Baidu Corporation, China)

    Data’s contribution to Search in Baidu

    3.Hang Li (Huawei Corporation, China)
    AI Research at Huawei Technologies
  • Keynote Speech Four8:30am to 9:30am
  • Wen Gao (Peking University & NSFC of China)
    Multimedia Big Data Processing for Intelligent Cities
  • Keynote Speech Five9:30am to 10:30am
  • Katsushi Ikeuchi (Tokyo University, Japan)
    e-Heritage Project
  • Tea Break10:30am to 10:45am
  • Session One: Optimization and Computation10:45am to 12:15pm
  • 1.Wotao Yin (University of California at Los Angeles, USA)

    Asynchronous parallel fixed-point algorithms and its applications

    2.Zhaojun Bai (University of California at Davis, USA)
    Rayleigh Quotient-type Optimizations and Eigen Problems
  • Lunch Break12:15pm to 2:00pm
  • Keynote Speech Six2:00pm to 3:00pm
  • Weinan E(Princeton University, USA & Peking University, China)
    The Structure of Unstructured Data
  • Session Two: Machine Learning (II)3:00pm to 4:30pm
  • 1.Jun Zhu (Tsinghua University, China)

    Adaptive Dropout Training for SVMs

    2.Rene Vidal (Johns Hopkins University, USA)


    3.Zheng Zhang (New York University at Shanghai, China)
    Deep Learning: Platform, Algorithms and Applications
  • Tea Break4:30pm to 4:45pm
  • Session Three: Applications (II)4:45pm to 6:15pm
  • 1.Hao Chen (ShanghaiTech University, China)

    Data-driven Information Security

    2.Shuicheng Yan (National University of Singapore, Singapore)

    Block-diagonal Matrix Pursuit: Theories and Applications

    3.Xiaojun Yuan (ShanghaiTech University, China)
    Turbo Compressed Sensing
  • Panel8:30am to 10:30am
  • Cocktail Meeting10:30am to 11:30am