People:
Jiaxing Qian
Statistical Physics
Active Matter
Complex System
Machine Learning
Zidong Cui
Quantum Computing
Generate Model
Quantum Error Correction
Lu Zhong
Natural Language Processing
Variational Autoregressive Networks
Neural Quantum States
Fangfang Wang(Joint)
Statistical Physics
Phase Transition
Higher-order Transitions
Complex Systems
Zhimao Liu
AI for Physics
Nonequilibrium Dynamics
Variational Autoregressive Network
Agent for Research
Kewen Pan
Diffusion Model
Agent
Post-training
Xinyi Zhu
AI4S
Stochastic Dynamics
Master equation
Wenli Duan
Neural Quantum States
Variational Autoregressive Networks
Optimization Algorithms
Yifei Zhao
Dense Associative Memory
Energy-Based Model
Attention as Retrieval
Modern Hopfield Network
Jiahe Wang
Weather Forecast
Science for AI
LWM
Sihan Ren
Spin Glass
Discrete Diffusion Language Model
Continuous Diffusion Language Model
Flow Matchin
Kefan Cao
Quantum Computing
AI for Science
Machine Learnin
Haiqi Lu
Stochastic Dynamics
Phase Transition
Diffusion Models
Multimodal Fusio
Juntian Huang
Reservoir Computing
Linear Attention
Dynamic System
Ye Yue
Stochastic Differential Equations
Normalizing Flow
Dissipative Dynamical Systems
Xiaonan Gao
Recursive Reasoning
Dynamical Systems
Hierarchical Representation Learning
Higher-order Attention
Qingyang Gao
Physics for AI
Non-equilibrium Dynamics
Statistical Mechanics
Han Zhang (2022-2024)
Yuming Ye (2022-2024)
Rappy Zhu (2021-2024, Master at University of Electronic Science and Technology of China)
Haotian Xie (2021-2024, Master at University of Hong Kong)
Jiayu Weng (2021-2024, PhD at University of Hong Kong)
Hua Tu (2021-2024, Master at Beijing Normal University)
Runzhi Kong (2021-2024, Master at Hong Kong University of Science and Technology)
Zhaofan Lu (2021-2024, Teaching at middle school)
Haoxian Liu (2021-2024, Master at Beijing Normal University)
Zequn Lin (2021-2024, PhD at Westlake University)
Chris Dong (2021-2024, Master at Beijing Normal University)