Date: December 26-29, 2019 (registration on 26 and talks on 27-29).
Numerical algebra provides powerful and indispensable tools for high-dimensional data analysis, from the classical singular value decomposition (SVD) for principle component analysis (PCA) to modern tensor computations for deep neural network. This workshop brings together young scholars working on high-dimensional data analysis and numerical algebra in high-dimensional data analysis to exchange ideas and discuss recent development on this area. The topics include but not limited to deep learning, structured solution of underdetermined linear algebraic equations, low-rank matrix/tensor recovery, quadratic/bilinear/multi-linear algebraic equations, and matrix/tensor factorizations, with an emphasize on both the computational efficiency and theoretical guarantee of these numerical algebra methods for high-dimensional data analysis tasks.
Raymond H. Chan (City University of Hong Kong, China)
Song Jiang (Institute of Applied Physics and Computational Mathematics, China)
Michael K. Ng (The University of Hong Kong, China)
Zuowei Shen (National University of Singapore, Singapore)
Ya-xiang Yuan (Chinese Academy of Sciences, China)
Pingwen Zhang (Peking University, China)
Zhengjian Bai (Xiamen University, China)
Jianfeng Cai (Hong Kong University of Science and Technology, China)
Bin Dong (Peking University, China)
Kui Du (Xiamen University, China)
Ke Wei (Fudan University, China)
Zaiwen Wen (Peking University, China)
National Natural Science Foundation of China
Tianyuan Mathematical Center in Southeast China
School of Mathematical Sciences，Xiamen University
Bin Dong (Peking University, China)
Wen Huang (Xiamen University, China)
Yuling Jiao (Zhongnan University of Economics and Law, China)
Xiaodong Li (University of California, Davis, USA)
Junhong Lin (Zhejiang University, China)
Shuyang Ling (New York University, USA)
Haixia Liu (Huazhong University of Science and Technology, China)
Yue M. Lu (Harvard University, USA)
Qing Qu (New York University, USA)
Ju Sun (University of Minnesota, USA)
Gongguo Tang (Colorado School of Mines, USA)
Ke Wang (Hong Kong University of Science and Technology, China)
Ke Wei (Fudan University, China)
Jiaxin Xie (Beihang University, China)
Weiyu Xu (University of Iowa, USA)
Zhiqiang Xu (Chinese Academy of Sciences, China)
Zai Yang (Xi'an Jiaotong University, China)
Invited speakers must register the workshop. There is no registration fee.
Laboratory Building 105 at Haiyun Campus in Xiamen University
Golden Sands Gulf Hotel (in Chinese: 厦门金沙湾宾馆)
Address: No.3068, South Huandao Road, Siming District, Xiamen
Tel: 86-592- 2096888
Check-in date: December 26, 2019.
Check-out date: December 30, 2019.
Other alternative hotels
Lujiang Mega (in Chinese: 厦门鹭江•佲家酒店)
Homepage: http://www.lujiang-mega.com/index.html
Address: No.42, Longhushan Road, Siming District, Xiamen
Tel: 86-592-2199098
Distance to TMSE: about 1.5km, 20 minutes’ walk.
Mercure Xiamen Ximei Hotel (in Chinese:喜美美居酒店)
Address: No.553, Longhushan Road, Siming District, Xiamen
Tel: 86-592-5221555
Distance to TMSE: about 1.6 km, 20 minutes’ walk.
Vega Wei, tymath1@xmu.edu.cn, (+86)-592-2580036
Zhengjian Bai, zjbai@xmu.edu.cn, (+86)-592-2580687
Kui Du, kuidu@xmu.edu.cn, (+86)-592-2580672
About Xiamen University
