Tailin Wu

AI for scientific simulation

AI for scientific control and design

AI for scientific discovery

Long Wei

Machine Learning

AI for Science

Qianyi Chen

Data-driven Physical Simulation

Physics-informed Machine Learning

Tao Zhang

Control Theory

Machine Learning

Inverse Design

Jiaxin Li

Ruiqi Feng

AI for PDE control

Chenglei Yu

Protein Design

Neural Network

Physical System

Yuchen Yang

(2025 fall)

Machine Learning

Minsi Ren

(2025 fall)

Generative model

AI for science

Tengfei Xu

(2025 fall)

Numerical Simulation

Brain-Inspired Computing

Quantum Computing

Jiashu Pan

(2025 fall)

GenAI for Science

Wenhao Deng

Language Model

Information Retrieval

Agents

Tian Xia

AI for Materials Science

AI Agent

Yi Dai

Everything

Everywhere

All at Once

Peiyan Hu

AI for PDEs

AI for Physics

Jiyuan Li

Haodong Feng

AI for PDE

Reinforcement learning

Flow control

Tao Zhang

Multiphysics fields simulation

Xiaowei Qian

AI for Science

Graph Representation Learning

Tianci Bu

Graph Generation

Continual Learning

Chenbo Jiang

Computer Graphics

Geometric Learning

Differentiable Simulation

Chuanrui Wang

Generative Model

Protein Design

Manifold Learning

Hao Ma

AI4Science

Science4AI

Fundamental Physics

Zebang Wu

Yixian Jiang

Haixin Wang, Peking University

Deep Learning

AI for Science

Qianru Zhang, HKU

Rundong He, SDU

Uncertainty Estimation

Out-of-Distribution Detection

Robust Weakly-supervised Learning

Zhuohao Ni

Siyuan Li

Yixuan Du

Graph machine learning

AI4SCI

Rui Wang

AI for science

AI for communication

Xiang Zheng

Physics Simulation & Prediction

Shiwen Wang

Diffusion Model

Bridge Matching