ShanghaiTech Symposium on Data Science (SSDS) 2015
ShanghaiTech Symposium on Data Science (SSDS) 2015BackgroundShanghaiTech Symposium on Data Science (SSDS 2015) aims to promote research in mathematical sciences and computational technologies that are fundamental to modern massive data processing and analysis. Related research areas include but are not limited to compressive sensing, optimization, machine learning, computer systems, cloud computing, and a wide range of engineering applications. The Symposium gathers some of the most renowned researchers in the world in the above areas to present their latest research work and to discuss future research directions of Data Science.The Symposium brings the latest research developments to young faculty members and graduate students in China, especially in the neighboring areas of Shanghai. In conjunction with the Symposium, we also offer a few tutorials on some of the most active research topics, including sparse representation, cloud computing, parallel and distributed optimization, and deep learning. There is no registration fee for both the symposium and the tutorials. Please register here.The symposium is hosted by School of Information Science and Technology, ShanghaiTech University.
Important Dates[*]Application Deadline: May 15, 2015
[*]Notification Date: May 20, 2015
[*]Symposium: June 23-26, 2015
Location[*]Parkyard Hotel Shanghai, located at 699 Bibo Road, Shanghai. More information.
Distinguished Speakershttp://ssds2015.shanghaitech.edu.cn/image/speakers/stephen_boyd2.jpg Stephen Boyd
Stanford University
http://ssds2015.shanghaitech.edu.cn/image/speakers/inderjit.png Inderjit S. Dhillon
University of Texas at Austin
http://ssds2015.shanghaitech.edu.cn/image/speakers/E%20Weinan.png Weinan E
Princeton University
http://ssds2015.shanghaitech.edu.cn/image/speakers/Gaowen.jpg Wen Gao
Peking University
http://ssds2015.shanghaitech.edu.cn/image/speakers/hassibi.jpg Babak Hassibi
California Institute of Technology
http://ssds2015.shanghaitech.edu.cn/image/speakers/ikeuchi.jpg Katsushi Ikeuchi
University of Tokyo
Invited Speakers
[*]Zhaojun Bai, University of California, Davis
[*]Mark A. Davenport, Georgia Institute of Technology
[*]Tony Jebara, Columbia University
[*]Hang Li, Huawei Technologies
[*]Dou Shen, Baidu
[*]Rene Vidal, Johns Hopkins University
[*]Xiaoyang Wang, Fudan University
[*]John Wright, Columbia University
[*]Eric Xing, Carnegie Mellon University
[*]Shuicheng Yan, National University of Singapore
[*]Wotao Yin, University of California, Los Angeles
[*]Jingyi Yu, University of Delaware
[*]Zheng Zhang, New York University Shanghai
[*]Zhi-Hua Zhou, Nanjing University
[*]Jun Zhu, Tsinghua University
[*]More information
Tutorials[*]1.Sparse RepresentationZhouchen Lin, Peking University
John Wright, Columbia University
[*]2.Cloud ComputingZongpeng Li, University of Calgary
Hong Xu, City University of Hong Kong
[*]3.Large-Scale Parallel and Distributed OptimizationWotao Yin, University of California at Los Angeles
Tong Zhang, Baidu & Rutgers University
[*]4.Deep Learning and Its Applications in Face RecognitionShiguang Shan, Chinese Academy of Sciences
Xiaogang Wang, The Chinese University of Hong Kong
Sponsors[*]ShanghaiTech University
[*]HTC
[*]Baidu
[*]Sponsorship is welcome. Please contact the program chairs for details.
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