"Kernel Mode Decomposition and Programmable/Interpretable Regression Networks" by Owhadi Et. Al.
Lei Zhang, Institute of Natural Sciences, Shanghai Jiao Tong University
2019.12.04, 12:20-13:50

Research Progress on High Gain Laser Fusion
Jie Zhang, Chinese Academy of Sciences & Shanghai Jiao Tong University
2019.11.27, 15:30-16:30

Physics-Informed Neural Networks for Solving Forward and Inverse Stochastic Problems
Ling Guo, Shanghai Normal University
2019.11.27, 12:20-13:50

P53 Dynamics and Cell Fate Decision
Feng Liu, Nanjing University
2019.11.26, 14:00-15:00

Shape and Topology Optimization Based on Shape Gradients
Shengfeng Zhu, East China Normal University
2019.11.26, 10:00-11:00

Reducing Blood Viscosity, Suppressing Turbulence with Magnetic Field to Prevent Heart Attack and Stroke
Rongjia Tao, Temple University
2019.11.22, 10:00-11:00

Int Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems
Jianguo Huang, School of Mathematical Sciences, and LSC-MOE, Shanghai Jiao Tong University
2019.11.20, 12:20-13:50

Mathematical Modeling of Circadian Rhythms
Ling Yang,Soochow University
2019.11.19, 14:00-15:00

The Dilemma and Breakthrough of Artificial Intelligence
Zhiming Zheng, Beihang University
2019.11.16, 16:00-17:30

New Universe and New World: Interpretation of the 2019 Nobel Prize in Physics
Pengjie Zhang, School of Physics and Astronomy, Shanghai Jiao Tong University
2019.11.13, 16:00-17:30

Theoretical Understanding of Stochastic Gradient Descent in Deep Learning
Zhanxing Zhu, Peking University
2019.11.13, 12:20-13:50

The General Principle for Constructing Split Contraction Algorithm for Convex Optimization
Bingsheng He,Southern University of Science and Technology
2019.11.12, 14:00-15:00