Liwei Wang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 184

Top Venues

CoRR

NeurIPS

ICLR

ICML

Publications

Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation. AISTATS (2024)
Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang
GiT: Towards Generalist Vision Transformer through Universal Language Interface. CoRR (2024)
Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. CoRR (2024)
Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
Do Efficient Transformers Really Save Computation? CoRR (2024)
Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang
DOF: Accelerating High-order Differential Operators with Forward Propagation. CoRR (2024)
Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
DPO Meets PPO: Reinforced Token Optimization for RLHF. CoRR (2024)
Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR (2024)
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. CoRR (2023)
Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
One Transformer Can Understand Both 2D & 3D Molecular Data. ICLR (2023)
Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds. NeurIPS (2023)
Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR (2023)
Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-chun Zhu
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity. CoRR (2023)
Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
Learning Physics-Informed Neural Networks without Stacked Back-propagation. AISTATS (2023)
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. ICLR (2023)
Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations. ICLR (2023)
Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. ICML (2023)
Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR (2023)
Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He
Denoising Masked Autoencoders Help Robust Classification. ICLR (2023)
Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR (2023)
Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CoRR (2023)
Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR (2023)
Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo. CoRR (2023)
Jiayi Huang, Han Zhong, Liwei Wang, Lin F. Yang
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation. CoRR (2023)
Chuwei Wang, Shanda Li, Di He, Liwei Wang
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS (2022)
Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. CoRR (2022)
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. NeurIPS (2022)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Boosting the Certified Robustness of L-infinity Distance Nets. ICLR (2022)
Ruichen Li, Binghui Li, Qi Qian, Liwei Wang
Reconstruction Task Finds Universal Winning Tickets. CoRR (2022)
Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. NeurIPS (2022)
Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang
RBGNet: Ray-based Grouping for 3D Object Detection. CVPR (2022)
Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Di He, Liwei Wang
One Transformer Can Understand Both 2D & 3D Molecular Data. CoRR (2022)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. NeurIPS (2022)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. CoRR (2022)
Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He
Denoising Masked AutoEncoders are Certifiable Robust Vision Learners. CoRR (2022)
Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
Your Transformer May Not be as Powerful as You Expect. CoRR (2022)
Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang
RBGNet: Ray-based Grouping for 3D Object Detection. CoRR (2022)
Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. CoRR (2022)
Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. ICML (2022)
Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
Learning Physics-Informed Neural Networks without Stacked Back-propagation. CoRR (2022)
Chuwei Wang, Shanda Li, Di He, Liwei Wang
Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network? CoRR (2022)
Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang
Understanding Domain Randomization for Sim-to-real Transfer. ICLR (2022)
Han Zhong, Jiayi Huang, Lin F. Yang, Liwei Wang
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs. CoRR (2021)
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS (2021)
Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du
A Unified Framework for Conservative Exploration. CoRR (2021)
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. CoRR (2021)
Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS (2021)
Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR (2021)
Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. ICML (2021)
Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. CoRR (2021)
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. NeurIPS (2021)
Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. NeurIPS (2021)
Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
-dist Neurons. CoRR (2021)
Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang
Near-optimal Representation Learning for Linear Bandits and Linear RL. CoRR (2021)
Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang
Near-Optimal Representation Learning for Linear Bandits and Linear RL. ICML (2021)
Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. ICLR (2021)
Hanzhe Hu, Jinshi Cui, Liwei Wang
Region-aware Contrastive Learning for Semantic Segmentation. ICCV (2021)
Xiaosen Wang, Chuanbiao Song, Liwei Wang, Kun He
Multi-stage Optimization based Adversarial Training. CoRR (2021)
Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
Revisiting Language Encoding in Learning Multilingual Representations. CoRR (2021)
Ke Lin, Zhuoxin Gan, Liwei Wang
Augmented Partial Mutual Learning with Frame Masking for Video Captioning. AAAI (2021)
Han Zhong, Jiayi Huang, Lin Yang, Liwei Wang
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs. NeurIPS (2021)
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR (2021)
Ruiheng Chang, Dong Wang, Haiyan Guo, Jia Ding, Liwei Wang
Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations. MICCAI (8) (2021)
Tianhao Wu, Yunchang Yang, Simon S. Du, Liwei Wang
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP. ICML (2021)
Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. CoRR (2020)
Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CoRR (2020)
Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. CoRR (2020)
Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu
MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR (2020)
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR (2020)
Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
Locally Differentially Private (Contextual) Bandits Learning. CoRR (2020)
Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
On Layer Normalization in the Transformer Architecture. CoRR (2020)
Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. Int. J. Comput. Vis. 128 (12) (2020)
Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
Robust Local Features for Improving the Generalization of Adversarial Training. ICLR (2020)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS (2020)
Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks. ICLR (2020)
Ke Lin, Zhuoxin Gan, Liwei Wang
Multi-modal Feature Fusion with Feature Attention for VATEX Captioning Challenge 2020. CoRR (2020)
Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng
Combinatorial Semi-Bandit in the Non-Stationary Environment. CoRR (2020)
Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. NeurIPS (2020)
Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
Dense RepPoints: Representing Visual Objects with Dense Point Sets. ECCV (21) (2020)
Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang
(Locally) Differentially Private Combinatorial Semi-Bandits. ICML (2020)
Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
Boosting Few-Shot Learning With Adaptive Margin Loss. CoRR (2020)
Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR (2020)
Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
Improved Analysis of Clipping Algorithms for Non-convex Optimization. CoRR (2020)
Yihong Chen, Yue Cao, Han Hu, Liwei Wang
Memory Enhanced Global-Local Aggregation for Video Object Detection. CVPR (2020)
Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang
Improve Bone Age Assessment by Learning from Anatomical Local Regions. MICCAI (6) (2020)
Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
Boosting Few-Shot Learning With Adaptive Margin Loss. CVPR (2020)
Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang
Improve bone age assessment by learning from anatomical local regions. CoRR (2020)
Yihong Chen, Yue Cao, Han Hu, Liwei Wang
Memory Enhanced Global-Local Aggregation for Video Object Detection. CoRR (2020)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints V2: Verification Meets Regression for Object Detection. CoRR (2020)
Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR (2020)
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. ICLR (2020)
Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication. ICLR (2020)
Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
Locally Differentially Private (Contextual) Bandits Learning. NeurIPS (2020)
Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
On Layer Normalization in the Transformer Architecture. ICML (2020)
Ke Lin, Zhuoxin Gan, Liwei Wang
Semi-Supervised Learning for Video Captioning. EMNLP (Findings) (2020)
Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
Improved Analysis of Clipping Algorithms for Non-convex Optimization. NeurIPS (2020)
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. CoRR (2020)
Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang
(Locally) Differentially Private Combinatorial Semi-Bandits. CoRR (2020)
Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang
RANDOM MASK: Towards Robust Convolutional Neural Networks. CoRR (2020)
Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. ICLR (2020)
Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CVPR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liwei Wang