NEWS
- Our paper: "Symmetry enforced solution of the many-body Schrödinger equation with deep neural network " by Zhe Li, Zixiang Lu, Ruichen Li, Xuelan Wen, Xiang Li, Liwei Wang , Ji Chen, Weiluo Ren has been accepted by Nature Computational Science !
- Our paper: "GiT: Towards Generalist Vision Transformer through Universal Language Interface " by Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang has been accepted by ECCV 2024 (Oral) !
- Our paper: "Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret " by Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang has been accepted by ICML 2024 !
- Our paper: "Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation " by Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang , Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He has been accepted by ICML 2024 !
- Our paper: "Do Efficient Transformers Really Save Computation? " by Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang has been accepted by ICML 2024 !
- Our paper: "Quantum Algorithms and Lower Bounds for Finite-Sum Optimization " by Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang , Tongyang Li has been accepted by ICML 2024 !
- Our paper: "GeoMFormer: A General Architecture for Geometric Molecular Representation Learning " by Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang has been accepted by ICML 2024 !
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Our paper: "Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
" by Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
has received ICLR 2024 Outstanding Paper Award Honorable Mention!
! - Our paper: "A Computational Framework for Neural Network-based Variational Monte Carlo with Forward Laplacian " by Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang has been accepted by Nature Machine Intelligence !
RECENT PUBLICATIONS (Full Paper List)
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Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang , "Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective ", Conference on Neural Information Processing Systems (NeurIPS), 2023 (Oral)
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Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang , Simon S. Du, "A Reduction-based Framework for Sequential Decision Making with Delayed Feedback ", Conference on Neural Information Processing Systems (NeurIPS), 2023
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Jiayi Huang, Han Zhong,Liwei Wang , Lin F. Yang, "Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds ", Conference on Neural Information Processing Systems (NeurIPS), 2023
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Hao Yang, Haiyang Wang, Di Dai, Liwei Wang , "PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds ", Conference on Neural Information Processing Systems (NeurIPS), 2023
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Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang , Chongjie Zhang, "Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ", International Conference on Machine Learning (ICML), 2023
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Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang , "A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests ", International Conference on Machine Learning (ICML), 2023
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Haotian Ye, Xiaoyu Chen, Liwei Wang , Simon Du, "On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness ", International Conference on Machine Learning (ICML), 2023
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Bohang Zhang, Shengjie Luo, Liwei Wang , Di He, "Rethinking the Expressive Power of GNNs via Graph Biconnectivity ", International Conference on Learning Representations (ICLR), 2023 (Outstanding Paper Award)
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Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang , Tong Zhang, "Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ", International Conference on Learning Representations (ICLR), 2023
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Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang,Liwei Wang , Di He, "Denoising Masked AutoEncoders Helps Robust Classification ", International Conference on Learning Representations (ICLR), 2023
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Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang , "Provable Sim-to-real Transfer in Continuous Domain with Partial Observations ", International Conference on Learning Representations (ICLR), 2023
Full publication list here
Students
Current Students
| PhD Students | Master Students | Undergraduate Students |
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Postdoctoral
- Dong Wang
- Tianle Cai (Princeton)
- Shengcao Cao (CMU)
- Siyu Chen (CMU)
- Yifan Chen (Caltech)
- Yihong Chen (ETH Zurich)
- Yuxi Chen (Google)
- Yuting Dai (YIZHUN)
- Chen Dan (CMU)
- Xiaocheng Deng (Microsoft)
- Jia Ding (YIZHUN)
- Kefan Dong (Stanford)
- Xialiang Dou (University of Chicago)
- Kai Fan (Alibaba)
- Jun Gao (University of Toronto)
- Ruiqi Gao (Princeton)
- Linyuan Gong (UC Berkeley)
- Jiayuan Gu (UCSD)
- Di He (Peking University)
- Lunjia Hu (Stanford)
- Zhiqiang Hu (SenseTime)
- Hanzhe Hu (ETH Zurich)
- Baihe Huang (UC Berkeley)
- He Jiang (University of Southern California)
- Chi Jin (Princeton)
- Zhaoxiang Jing (China Everbright Bank)
- Aoxue Li (Huawei)
- Haochuan Li (MIT)
- Ke Lin (Samsung)
- Tianhong Li (MIT)
- Shanda Li (CMU)
- Yao Liu (Stanford)
- Yuhan Liu (Cornell University)
- Zhuohan Li (UC Berkeley)
- Tiange Luo (UMich)
- Yiping Lu (Stanford)
- Zhou Lu (Princeton)
- Wenlong Mou (UC Berkeley)
- Hongming Pu (University of Pennsylvania)
- Zihan Tan (University of Chicago)
- Feicheng Wang (Harvard University)
- Yichuan Wang (Microsoft)
- Yuanhao Wang (Princeton)
- Zhi Wang(Columbia University)
- Ziteng Wang (YIZHUN)
- Chenwei Wu (Duke University)
- Tianhao Wu (UC Berkeley)
- Yue Wu (UCLA)
- Jing Xu (Tsinghua University)
- Jinchen Xuan (UCSD)
- Ze Yang (U of T)
- Songbai Yan (UCSD)
- Hongyuan You (UCSB)
- Xuchen You (University of Maryland)
- Runtian Zhai (CMU)
- Xiyu Zhai (MIT)
- Chicheng Zhang (The University of Arizona)
- Hongyi Zhang (ByteDance)
- Jiaqi Zhang (YIZHUN)
- Kexin Zhang (YIZHUN)
- Mengxiao Zhang (University of Southern California)
- Yichen Zhang (NYU)
- Kai Zheng (Kuaishou)
- Yiqiao Zhong (Princeton)
- Yuchen Zhou (University of Wisconsin)
- Xu Zou (Tsinghua University)
Courses
Current Courses
- Machine Learning
- Information Theory
Previous Courses
- Statistical Learning