新闻
- 我们的论文： "Symmetry enforced solution of the many-body Schrödinger equation with deep neural network " - Zhe Li, Zixiang Lu, Ruichen Li, Xuelan Wen, Xiang Li, Liwei Wang , Ji Chen, Weiluo Ren, 已被 Nature Computational Science 接收!
- 我们的论文： "GiT: Towards Generalist Vision Transformer through Universal Language Interface " - Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang, 已被 ECCV 2024 接收 (口头报告) !
- 我们的论文： "Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret " - Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang , 已被 ICML 2024 接收!
- 我们的论文： "Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation " - Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang , Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He, 已被 ICML 2024 接收!
- 我们的论文： "Do Efficient Transformers Really Save Computation? " - Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang , 已被 ICML 2024 接收!
- 我们的论文： "Quantum Algorithms and Lower Bounds for Finite-Sum Optimization " - Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang , Tongyang Li, 已被 ICML 2024 接收!
- 我们的论文： "GeoMFormer: A General Architecture for Geometric Molecular Representation Learning " - Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang , 已被 ICML 2024 接收!
-
我们的论文： "Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
" - Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang ,
获 ICLR 2024 杰出论文奖荣誉提名
! - 我们的论文： "A Computational Framework for Neural Network-based Variational Monte Carlo with Forward Laplacian " - Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang , 已被 Nature Machine Intelligence 接收!
近期发表论文 (完整发表论文列表)
-
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)
-
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
-
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
-
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
-
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
-
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
-
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
-
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)
-
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
-
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
-
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