Speakers

• 董彬 Bin Dong

  北京大学 Peking University - Learning to Solve Parametric PDEs
• 包承龙 Chenglong Bao

  清华大学 Tsinghua University - Recent Computational Progress in cryo-EM: Data Evaluation and Generation
• 王涵 Han Wang

  北京应用物理与计算数学研究所 Institute of Applied Physics and Computational Mathematics - Large Atomic Model
• 吴昊 Hao Wu

  清华大学 Tsinghua University - 最优输运：计算与应用
• 查宏远 Hongyuan Zha

  香港中文大学 The Chinese University of Hong Kong - Fokker Planck Equations and Generative Models
• 孙剑 Jian Sun

  西安交通大学 Xi'an Jiaotong University - 人工智能生成与泛化的最优传输理论与方法
• 吴开亮 Kailiang Wu

  南方科技大学 Southern University of Science and Technology - From Data to Dynamics: Deep Modeling of Unknown Differential Equations
• 魏轲 Ke Wei

  复旦大学 Fudan University - Recent Progress on the Convergence of Policy Gradient Methods
• 夏克林 Kelin Xia

  南洋理工大学 Nanyang Technological University - Mathematical AI for Molecular Sciences
• 石磊 Lei Shi

  复旦大学 Fudan University - Classification with Deep Neural Networks
• 张镭 Lei Zhang

  上海交通大学 Shanghai Jiao Tong University - Operator Learning for Musicale PDEs
• 闫亮 Liang Yan

  东南大学 Southeast University - 基于深度学习的数值反演算法及应用
• 郭玲 Ling Guo

  上海师范大学 Shanghai Normal University - Uncertainty Quantification in Scientific Machine Learning
• 周涛 Tao Zhou

  中国科学院 Chinese Academy of Sciences - Adaptive Sampling for PINNs and Deep Ritz
• 高卫国 Weiguo Gao

  复旦大学 Fudan University - Magnifying the Three Phases of GAN Training — Fitting, Refining and Collapsing
• 张小群 Xiaoqun Zhang

  上海交通大学 Shanghai Jiao Tong University - Generative Models for Medical Imaging: from Image Reconstruction to Image Syntheses
• 文再文 Zaiwen Wen

  北京大学 Peking University - ODE-based Learning to Optimize
• 郭正初 Zhengchu Guo

  浙江大学 Zhejiang University - Convergence Analysis of Online Learning Algorithms in Reproducing Kernel Hilbert Space
• 杨志坚 Zhijian Yang

  武汉大学 Wuhan University - ML-aided Multiscale Modeling and Simulation
• 史作强 Zuoqiang Shi

  清华大学 Tsinghua University - NSNO: Neumann Series Neural Operator for Solving Helmholtz Equations in Inhomogeneous Medium