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ShanghaiTech Symposium on Data Science (SSDS) 2015
BackgroundShanghaiTech 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.
Important Dates- Application Deadline: May 15, 2015
- Notification Date: May 20, 2015
- Symposium: June 23-26, 2015
- 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 Representation
- 2.Cloud Computing
- 3.Large-Scale Parallel and Distributed Optimization
- 4.Deep Learning and Its Applications in Face Recognition
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发表于 2015-6-8 12:30:36
