新闻
- 我们的论文： "Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective " -Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang 已被 NeurIPS 2023 (Oral) 接收!
- 我们的论文： "A Reduction-based Framework for Sequential Decision Making with Delayed Feedback " -Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang , Simon S. Du 已被 NeurIPS 2023 接收!
- 我们的论文： "Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds " -Jiayi Huang, Han Zhong,Liwei Wang , Lin F. Yang 已被 NeurIPS 2023 接收!
- 我们的论文： "PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds " - Hao Yang, Haiyang Wang, Di Dai, Liwei Wang , 已被 NeurIPS 2023 接收!
- 我们的论文： "Offline Meta Reinforcement Learning with In-Distribution Online Adaptation " - Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang , Chongjie Zhang 已被 ICML 2023 接收!
- 我们的论文： "A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests " - Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang , 已被 ICML 2023 接收!
- 我们的论文： "On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness " - Haotian Ye, Xiaoyu Chen, Liwei Wang , Simon Du, 已被 ICML 2023 接收!
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我们的论文： "Rethinking the Expressive Power of GNNs via Graph Biconnectivity
" -Bohang Zhang, Shengjie Luo, Liwei Wang , Di He,
获 ICLR 2023 杰出论文奖!
- 我们的论文： "Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game " - Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang , Tong Zhang, 已被 ICLR 2023 接收!
- 我们的论文： "Denoising Masked AutoEncoders Helps Robust Classification " - Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang,Liwei Wang , Di He, 已被 ICLR 2023 接收!
- 我们的论文： "Provable Sim-to-real Transfer in Continuous Domain with Partial Observations " - Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang , 已被 ICLR 2023 接收!
近期发表论文 (完整发表论文列表)
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Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang , Di He, One Transformer Can Understand Both 2D & 3D Molecular Data , International Conference on Learning Representations (ICLR), 2023
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Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang , Zehuan Yuan, Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling , International Conference on Learning Representations (ICLR), 2023 (Spotlight)
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Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang , CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds , Conference on Neural Information Processing Systems (NeurIPS), 2022 (Oral)
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Bohang Zhang, Du Jiang, Di He, Liwei Wang , Rethinking Lipschitz Neural Networks for Certified L-infinity Robustness , Conference on Neural Information Processing Systems (NeurIPS), 2022 (Oral)
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Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang , Di He, our Transformer May Not be as Powerful as You Expect , Conference on Neural Information Processing Systems (NeurIPS), 2022
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Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft,Liwei Wang , Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power , Conference on Neural Information Processing Systems (NeurIPS), 2022
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Chuwei Wang, Shanda Li2, Di He, Liwei Wang , Is L2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network , Conference on Neural Information Processing Systems (NeurIPS), 2022
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Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang , PointScatter: Point Set Representation for Tubular Structure Extraction , European Conference on Computer Vision (ECCV), 2022
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Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang , Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection , European Conference on Computer Vision (ECCV), 2022