About Speakers Schedule INS
2024年人工智能与计算数学会议
Artificial Intelligence and Computational Mathematics Conference

Day 1, 16 March, Saturday

Time Speaker Affiliation Title
09:00 - 09:15 Opening Remarks
Chair: 董彬
09:15 - 09:45 魏轲 Ke Wei 复旦大学 Fudan University Recent Progress on the Convergence of Policy Gradient Methods
09:45 - 10:15 包承龙 Chenglong Bao 清华大学 Tsinghua University Recent Computational Progress in cryo-EM: Data Evaluation and Generation
10:15 - 10:30 茶歇 Morning Tea
10:30 - 11:00 查宏远 Hongyuan Zha 香港中文大学 The Chinese University of Hong Kong Fokker Planck Equations and Generative Models
11:00 - 11:30 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
11:30 - 12:00 吴昊 Hao Wu 清华大学 Tsinghua University 最优输运:计算与应用
12:00 - 14:00 午餐 Lunch Break
Chair: 查宏远
14:00 - 14:30 周涛 Tao Zhou 中国科学院 Chinese Academy of Sciences Adaptive Sampling for PINNs and Deep Ritz
14:30 - 15:00 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
15:00 - 15:15 茶歇 Afternoon Tea
15:15 - 15:45 夏克林 Kelin Xia 南洋理工大学 Nanyang Technological University Mathematical AI for Molecular Sciences
15:45 - 16:15 董彬 Bin Dong 北京大学 Peking University Learning to Solve Parametric PDEs
16:15 - 16:45 文再文 Zaiwen Wen 北京大学 Peking University ODE-based Learning to Optimize
18:00 - 20:30 报告人晚宴 Presenters' Dinner 白金汉爵大酒店1楼182厅

Day 2, 17 March, Sunday

Time Speaker Affiliation Title
Chair:张小群
09:15 - 09:45 史作强 Zuoqiang Shi 清华大学 Tsinghua University NSNO: Neumann Series Neural Operator for Solving Helmholtz Equations in Inhomogeneous Medium
09:45 - 10:15 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
10:15 - 10:30 茶歇 Morning Tea
10:30 - 11:00 石磊 Lei Shi 复旦大学 Fudan University Classification with Deep Neural Networks
11:00 - 11:30 杨志坚 Zhijian Yang 武汉大学 Wuhan University ML-aided Multiscale Modeling and Simulation
11:30 - 12:00 郭正初 Zhengchu Guo 浙江大学 Zhejiang University Convergence Analysis of Online Learning Algorithms in Reproducing Kernel Hilbert Space
12:00 - 13:30 午餐 Lunch Break
Chair: 杨志坚
13:30 - 14:00 郭玲 Ling Guo 上海师范大学 Shanghai Normal University Uncertainty Quantification in Scientific Machine Learning
14:00 - 14:30 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
14:30 - 15:00 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
15:00 - 15:15 茶歇 Afternoon Tea
Chair: 石磊
15:15 - 15:45 高卫国 Weiguo Gao 复旦大学 Fudan University Magnifying the Three Phases of GAN Training — Fitting, Refining and Collapsing
15:45 - 16:15 张镭 Lei Zhang 上海交通大学 Shanghai Jiao Tong University Operator Learning for Musicale PDEs