This seminar aims to introduce cutting-edge research of Data Science, especially, the application of Data Science in scientific problems and the "science" part of Data Science, such as understanding deep learning. Welcome to contact Zhiqin Xu (firstname.lastname@example.org).
Int Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems
Jianguo Huang, School of Mathematical Sciences, and LSC-MOE, Shanghai Jiao Tong University
Theoretical Understanding of Stochastic Gradient Descent in Deep Learning
Zhanxing Zhu, Peking University
Optimization and Generalization Property of Two-Layer Neural Network under Gradient Descent Dynamics
Chengchao Zhao, Beijing Computational Science Research Center
Deep Neural Networks and Finite Element Methods
Jihong Wang, Beijing Computational Science Research Center
Neural Networks as Interacting Particle Systems
Lei Li, Institute of Natural Sciences, Shanghai Jiao Tong University
Sequence Methods in Disease Prediction and Applications
Qing Xu, Huayuan Data Technology (Shanghai) Co., Ltd.
Lung Nodules Detection and Classification by 3D Convolutional Neural Networks
Jingjing Yang, Huayuan Data Technology (Shanghai) Co., Ltd.
An Introduction to Deep Learning
Zhiqin Xu, Shanghai Jiao Tong University