China Conference on Scientific Machine Learning
CSML 2026
The Chinese Symposium on Machine Learning and Scientific Applications (CSML), inaugurated in 2022, has established itself as a premier academic platform in the field. The fourth edition of the symposium (CSML 2026) will be held from August 7-9, 2026, at the Chen Ruiqiu Building, Shanghai Jiao Tong University.
The conference focuses on the following three aspects of machine learning. Mathematical machine learning: study machine learning from a mathematical perspective, such as theory and model. Scientific machine learning: the application of ML to scientific problems and design of ML algorithms inspired by scientific computing. Industrial machine learning: the application of ML in industry.
Organization of the Conference
Conference Chairs
E Weinan | (Academician, Peking University) |
Jin Shi | (Professor, Shanghai Jiao Tong University) |
Conference Academic Committee (in alphabetical order by surname)
Bao Gang | (Academician, Zhejiang University) |
E Weinan | (Academician, Peking University) |
Gao Xiaoshan | (Researcher, Academy of Mathematics and Systems Science, Chinese Academy of Sciences) |
Gong Xingao | (Academician, Fudan University) |
Jiang Song | (Academician, Beijing Institute of Applied Physics and Computational Mathematics) |
Jin Shi | (Professor, Shanghai Jiao Tong University) |
Liu Weidong | (Professor, Shanghai Jiao Tong University) |
Ma Zhiming | (Academician, Academy of Mathematics and Systems Science, Chinese Academy of Sciences) |
Wang Liwei | (Professor, Peking University) |
Yang Zhijian | (Professor, Wuhan University) |
Yin Wotao | (Alibaba (USA) DAMO Academy, Decision Intelligence Lab) |
Zhang Bo | (Academician, Tsinghua University) |
Zhang Pingwen | (Academician, Wuhan University) |
Zhang Zhihua | (Professor, Peking University) |
Zhou Zhihua | (Academician, Nanjing University) |
Conference Organizing Committee (in alphabetical order by surname)
Chair of the Organizing Committee:
Luo Tao |
(Shanghai Jiao Tong University) |
Members of the Organizing Committee:
Dong Bin | (Peking University) |
Liang Jingwei | (Shanghai Jiao Tong University) |
Liu Fanghui | (Shanghai Jiao Tong University) |
Ma Zheng | (Shanghai Jiao Tong University) |
Min Hancheng | (Shanghai Jiao Tong University) |
Wu Lei | (Peking University) |
Xu Zhiqin | (Shanghai Jiao Tong University) |
Yuan Kun | (Peking University) |
Zhang Yaoyu | (Shanghai Jiao Tong University) |
Organizers
Institute of Natural Sciences, Shanghai Jiao Tong University |
School of Mathematical Sciences, Shanghai Jiao Tong University |
School of Artificial Intelligence, Shanghai Jiao Tong University |
Key Laboratory of Scientific and Engineering Computing, Ministry of Education |
Shanghai Frontiers Science Center of Modern Analysis |
Co-organizers
Center for Machine Learning Research, Peking University |
Beijing International Center for Mathematical Research |
School of Mathematical Sciences, Peking University |
Department of Physics, Fudan University |
Mathematics and Artificial Intelligence Committee of the Chinese Mathematical Society (in preparation) |
AI Physics Committee of the Chinese Physical Society (in preparation) |
Conference Schedule
| Day 1 | |
| 8:20-8:40 | Opening Remarks |
| 8:40-9:25 | Invited Talk: Yang Hongkang, Memory Tensor |
| 9:30-10:15 | Invited Talk: Luo Tao, Shanghai Jiao Tong University |
| 10:15-10:30 | Coffee Break |
| 10:30-12:00 | Viewpoint Forum (Theme: AI and Mathematics, Host: Xu Zhiqin, Panelists: Luo Tao, Ma Jiajun, Sun Ruoyu, Xiang Yang) |
| 12:00 | Group Photo |
| 13:30-15:30 | Parallel Session 1 |
| 15:30-16:00 | Coffee Break |
| 16:00-18:00 | Parallel Session 2 |
| Day 2 | |
| 8:30-9:15 | Invited Talk: Shu Jun, Xi'an Jiaotong University |
| 9:15-10:00 | Invited Talk: Liang Jingwei, Shanghai Jiao Tong University |
| 10:00-10:15 | Coffee Break |
| 10:15-12:15 | Parallel Session 3 |
| 13:30-15:30 | Parallel Session 4 |
| 15:40-17:40 | Student Forum |
Session Themes
The sessions are divided into four categories: A. Foundations, B. Large Models, C. Scientific AI, and D. Other Applications.
Session 1: August 8, 13:30-15:30, 7 parallel sessions
(1)A1 Learning Theory in Function Spaces I, II (Organizers: Liu Fanghui, Wu Lei, Shi Lei, Ling Shuyang) Venue 8 Chen Ruiqiu Building 117
(2)A2 Modern Machine Learning Theory and Methods (Organizers: Shu Jun, Liao Zhenyu) Venue 2 Chen Ruiqiu Building 106
(3)C1 Mathematical Intelligence AI4Math I, II (Organizers: Luo Tao, Wang Tianyu) Venue 3 Chen Ruiqiu Building 107
(4)C4 Physics-driven Machine Learning Algorithms (Organizers: Yin Jia, Li Yingzhou) Venue 4 Chen Ruiqiu Building 108
(5)C6 Neural Operator Learning (Organizers: Huang Zhengyu, Guo Ruchi) Venue 5 Chen Ruiqiu Building 109
(6)C9 Deep Learning and Complex Nonlinear Systems: Algorithms and Applications (Organizer: Mao Zhiping) Venue 6 Chen Ruiqiu Building 110
(7)D2 Computational Energy Management in Artificial Intelligence (Organizers: Li Tongxin, You Pengcheng) Venue 7 Chen Ruiqiu Building 114
Session 2: August 8, 16:00-18:00, 7 parallel sessions
(1)A1 Learning Theory in Function Spaces I, II (Organizers: Liu Fanghui, Wu Lei, Shi Lei, Ling Shuyang) Venue 8 Chen Ruiqiu Building 117
(2)A3 The Second Curve of Reinforcement Learning: From Reward Learning to Scientific Intelligence (Organizer: Wen Ying) Venue 2 Chen Ruiqiu Building 106
(3)C1 Mathematical Intelligence AI4Math I, II (Organizers: Luo Tao, Wang Tianyu) Venue 3 Chen Ruiqiu Building 107
(4)C3 Machine Learning Methods and Theory Based on Model Order Reduction (Organizers: Wang Dong, Liu Hao) Venue 4 Chen Ruiqiu Building 108
(5)C5 Neuroscience and Artificial Intelligence (Organizers: Li Songting, Zhou Dongzhuo) Venue 5 Chen Ruiqiu Building 109
(6)C10 Machine Learning and Inverse PDE Problems (Organizer: Yan Liang) Venue 6 Chen Ruiqiu Building 110
(7)B2 Basic Theory of Large Models (Organizer: Liu Yong) Venue 7 Chen Ruiqiu Building 114
Session 3: August 9, 10:15-12:15, 8 parallel sessions
(1)C7 AI-driven Materials Design and Discovery (Organizer: Wang Han) Venue 2 Chen Ruiqiu Building 106
(2)A4 Artificial Intelligence and Optimization I, II (Organizers: Wang Xiangfeng, Yuan Kun) Venue 3 Chen Ruiqiu Building 107
(3)B3 Large Model Theory and Scientific Computing (Organizer: Yi Mingyang) Venue 1 Chen Ruiqiu Building 100
(4)C2 Machine Learning and Materials Computing I, II (Organizer: Zhang Luchan) Venue 4 Chen Ruiqiu Building 108
(5)C8 AI-empowered Materials Simulation (Organizers: Chen Jingrun, Sun Yifei) Venue 5 Chen Ruiqiu Building 109
(6)C11 Physics- and Data-integrated AI for Complex Physical Systems (Organizer: Wu Tailin) Venue 6 Chen Ruiqiu Building 110
(7)D3 Applications of Artificial Intelligence in Scientific Imaging I, II (Organizers: Jiang Ruoxi, Sun He) Venue 7 Chen Ruiqiu Building 114
(8)A5 Large Model Representation and Transfer Mechanisms (Organizers: Liu Fanghui, Min Hancheng) Venue 8 Chen Ruiqiu Building 117
Session 4: August 9, 13:30-15:30, 7 parallel sessions
(1)A4 Artificial Intelligence and Optimization I, II (Organizers: Wang Xiangfeng, Yuan Kun) Venue 3 Chen Ruiqiu Building 107
(2)B4 Generative AI Theory and Algorithms (Organizer: Hu Tianyang) Venue 2 Chen Ruiqiu Building 106
(3)C2 Machine Learning and Materials Computing I, II (Organizer: Zhang Luchan) Venue 4 Chen Ruiqiu Building 108
(4)B1 Pre-training of Large Models (Organizers: Wu Lei, Lü Kaifeng) Venue 1 Chen Ruiqiu Building 100
(5)D1 AI Applications in Future Energy Systems (Organizers: You Pengcheng, Li Tongxin, Jiang Yan) Venue 5 Chen Ruiqiu Building 109
(6)D3 Applications of Artificial Intelligence in Scientific Imaging I, II (Organizers: Jiang Ruoxi, Sun He) Venue 7 Chen Ruiqiu Building 114
(7)C12 Machine Learning and Interdisciplinary Applications (Organizer: Zhang Yaoyu) Venue 6 Chen Ruiqiu Building 110
Session Themes
Conference Handbook
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Conference Notice Download
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Location of the Conference
Shanghai Jiao Tong University
Map: Chen Ruiqiu Building, Shanghai Jiao Tong University
Venue Arrangement
Venue 1 Chen Ruiqiu Building 100 Venue 2 Chen Ruiqiu Building 106 Venue 3 Chen Ruiqiu Building 107
Venue 4 Chen Ruiqiu Building 108 Venue 5 Chen Ruiqiu Building 109 Venue 6 Chen Ruiqiu Building 110
Venue 7 Chen Ruiqiu Building 114 Venue 8 Chen Ruiqiu Building 117
Backup Venue/Storage/Volunteer Rest Chen Ruiqiu Building 113, 111, 112
Important Dates
Conference Dates: August 7–9, 2026 (Registration on August 7, conference sessions on weekend)
Registration Notice
Registration Link: https://wj.sjtu.edu.cn/q/LS39mScw
Fee: No registration fee is required for the conference.
Accommodation: Participants should arrange accommodation by themselves.
Relevant Notifications
1. Conference Schedule
The conference will be held from August 7 to 9, 2026, at Chen Ruiqiu Building, Shanghai Jiao Tong University. August 7 is for registration, with conference sessions on the following two days. Four invited talks by young scholars will be arranged in the two mornings. A viewpoint forum will be arranged on the morning of the first day. Four rounds of parallel sessions will be arranged, with 7–8 sessions in each round. Each talk in the parallel sessions is 30 minutes. Around 30 parallel sessions and about 120 speakers are expected. The expected number of participants is 500–600.
2. Accommodation and Catering Arrangements
There is no registration fee. Accommodation should be arranged by participants themselves.
Contact Information
Luo Tao: luotao41@sjtu.edu.cn