Professor | Weinan E | Asia Growth Partners

Name	Weinan E
Contact Information	weinan at math dot pku dot edu dot cn
Language ability	English, Chinese
Province	Beijing

Name

Weinan E

Contact Information

weinan at math dot pku dot edu dot cn

Language ability

English, Chinese

Province

Beijing

University/Lab Affiliation and Title	Peking University
Faculty	Mathematical Sciences
Academic Background & Achievements	1989 - PhD: University of California, Los Angeles (UCLA) 1985 - Master's: Chinese Academy of Sciences, Mathematics 1982 - Bachelor's: University of Science and Technology of China
Work Experience	2021- - Peking University, School of Mathematical Sciences, Professor 2011-2019 - Peking University, Beijing International Center for Mathematical Research & School of Mathematical Sciences, Professor 2000-2011 - Peking University, School of Mathematical Sciences, Professor 1999- - Princeton University, Department of Mathematics and PACM, Professor 1997-1999 - New York University, Courant Institute of Mathematical Sciences, Professor 1994-1997 - New York University, Courant Institute of Mathematical Sciences, Associate Professor 1991-1994 - Princeton Institute for Advanced Study, School of Mathematics, Instructor
Awards	2003: Collatz Prize, International Association of Industrial and Applied Mathematics 2009: Kleinman Prize, American Society of Industrial and Applied Mathematics 2014: Theodore von Karman Prize, American Society of Industrial and Applied Mathematics 2019: Peter Henrici Prize, SIAM and ETH Zurich 2020: Gordon Bell Prize, ACM

University/Lab Affiliation and Title

Peking University

Faculty

Mathematical Sciences

Academic Background & Achievements

1989 - PhD: University of California, Los Angeles (UCLA)
1985 - Master's: Chinese Academy of Sciences, Mathematics
1982 - Bachelor's: University of Science and Technology of China

Work Experience

2021- - Peking University, School of Mathematical Sciences, Professor
2011-2019 - Peking University, Beijing International Center for Mathematical Research & School of Mathematical Sciences, Professor
2000-2011 - Peking University, School of Mathematical Sciences, Professor
1999- - Princeton University, Department of Mathematics and PACM, Professor
1997-1999 - New York University, Courant Institute of Mathematical Sciences, Professor
1994-1997 - New York University, Courant Institute of Mathematical Sciences, Associate Professor
1991-1994 - Princeton Institute for Advanced Study, School of Mathematics, Instructor

Awards

2003: Collatz Prize, International Association of Industrial and Applied Mathematics
2009: Kleinman Prize, American Society of Industrial and Applied Mathematics
2014: Theodore von Karman Prize, American Society of Industrial and Applied Mathematics
2019: Peter Henrici Prize, SIAM and ETH Zurich
2020: Gordon Bell Prize, ACM

Areas of Focus	Statistical learning of unstructured data Mathematical structures of unstructured data spaces Multiscale theory, algorithms, and applications of stochastic dynamical systems Challenging rare events in scientific frontiers
Publications	Generalization error of GAN from the discriminator's perspective, Yang, Hongkang; E, Weinan, 2022 Phase diagram of a deep potential water model, Zhang, Linfeng; Wang, Han; Car, Roberto; E, Weinan, 2021 Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics, Wang, Dongdong; Wang, Yanze; Chang, Junhan; Zhang, Linfeng; Wang, Han; E, Weinan, 2021 DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory, Chen, Yixiao; Zhang, Linfeng; Wang, Han; E, Weinan, 2021 On the curse of memory in recurrent neural networks: approximation and optimization analysis, Li, Zhong; Han, Jiequn; E, Weinan; Li, Qianxiao, 2021

Areas of Focus

Statistical learning of unstructured data
Mathematical structures of unstructured data spaces
Multiscale theory, algorithms, and applications of stochastic dynamical systems
Challenging rare events in scientific frontiers

Publications

Generalization error of GAN from the discriminator's perspective, Yang, Hongkang; E, Weinan, 2022
Phase diagram of a deep potential water model, Zhang, Linfeng; Wang, Han; Car, Roberto; E, Weinan, 2021
Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics, Wang, Dongdong; Wang, Yanze; Chang, Junhan; Zhang, Linfeng; Wang, Han; E, Weinan, 2021
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory, Chen, Yixiao; Zhang, Linfeng; Wang, Han; E, Weinan, 2021
On the curse of memory in recurrent neural networks: approximation and optimization analysis, Li, Zhong; Han, Jiequn; E, Weinan; Li, Qianxiao, 2021

Unstructured Data Statistical Learning Mathematical Structures Multiscale Theory Algorithms Stochastic Systems Dynamical Systems Rare Events Scientific Frontiers Applications

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