Liwei Wang - RankMe

304 papers A* 97A 2B 2Journal 175Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Muon in Associative Memory Learning: Training Dynamics and Scaling Laws. CoRR Binghui Li, Kaifei Wang, Han Zhong, Pinyan Lu, Liwei Wang
2026	J	`jnl`	Towards Solving the Gilbert-Pollak Conjecture via Large Language Models. CoRR Yisi Ke, Tianyu Huang, Yankai Shu, Di He, Jingchu Gai, Liwei Wang
2026	J	`jnl`	Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models. CoRR Sen Ye, Mengde Xu, Shuyang Gu, Di He, Liwei Wang, Han Hu
2025	J	`jnl`	A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories. CoRR Haojun Yu, Youcheng Li, Zihan Niu, Nan Zhang, Xuantong Gong, Huan Li, Zhiying Zou, Haifeng Qi, Zhenxiao Cao, Zijie Lan, Xingjian Yuan, Jiating He, Haokai Zhang, Shengtao Zhang, Zicheng Wang, Dong Wang, Ziwei Zhao, Congying Chen, Yong Wang, Wangyan Qin, Qingli Zhu, Liwei Wang
2025	J	`jnl`	A Foundational Generative Model for Breast Ultrasound Image Analysis. CoRR Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Haotian Ye, Siyu He, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, James Zou, Qingli Zhu, Yong Wang, Liwei Wang
2025	A*	`conf`	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. ICML Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang
2025	J	`jnl`	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. CoRR Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang
2025	A*	`conf`	DPO Meets PPO: Reinforced Token Optimization for RLHF. ICML Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang
2025	A*	`conf`	DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image. CVPR Ziwei Zhao, Zhixing Zhang, Yuhang Liu, Zhao Zhang, Haojun Yu, Dong Wang, Liwei Wang
2025	J	`jnl`	DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image. CoRR Ziwei Zhao, Zhixing Zhang, Yuhang Liu, Zhao Zhang, Haojun Yu, Dong Wang, Liwei Wang
2025	J	`jnl`	Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value. CoRR Yixian Xu, Shengjie Luo, Liwei Wang, Di He, Chang Liu
2025	J	`jnl`	Distribution Matching Variational AutoEncoder. CoRR Sen Ye, Jianning Pei, Mengde Xu, Shuyang Gu, Chunyu Wang, Liwei Wang, Han Hu
2025	J	`jnl`	GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs. CoRR Zhao Zhang, Ziwei Zhao, Dong Wang, Liwei Wang
2025	A*	`conf`	Homomorphism Expressivity of Spectral Invariant Graph Neural Networks. ICLR Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang
2025	J	`jnl`	Homomorphism Expressivity of Spectral Invariant Graph Neural Networks. CoRR Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang
2025	—	`conf`	How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs. ACL (Findings) Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang
2025	J	`jnl`	LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier. CoRR Haojun Yu, Di Dai, Ziwei Zhao, Di He, Han Hu, Liwei Wang
2025	J	`jnl`	Spin-Adapted Neural Network Wavefunctions in Real Space. CoRR Ruichen Li, Yuzhi Liu, Du Jiang, Yixiao Chen, Xuelan Wen, Wenrui Li, Di He, Liwei Wang, Ji Chen, Weiluo Ren
2025	A*	`conf`	The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. ICML Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang
2025	J	`jnl`	The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. CoRR Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang
2025	J	`jnl`	Theoretical Benefit and Limitation of Diffusion Language Model. CoRR Guhao Feng, Yihan Geng, Jian Guan, Wei Wu, Liwei Wang, Di He
2025	A*	`conf`	TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. ICLR Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele
2025	J	`jnl`	UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface. CoRR Hao Tang, Chenwei Xie, Haiyang Wang, Xiaoyi Bao, Tingyu Weng, Pandeng Li, Yun Zheng, Liwei Wang
2025	J	`jnl`	UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing. CoRR Hao Tang, Chenwei Xie, Xiaoyi Bao, Tingyu Weng, Pandeng Li, Yun Zheng, Liwei Wang
2024	A*	`conf`	Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
2024	J	`jnl`	Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. CoRR Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
2024	A*	`conf`	Bridging Geometric States via Geometric Diffusion Bridge. NeurIPS Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	Bridging Geometric States via Geometric Diffusion Bridge. CoRR Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	DOF: Accelerating High-order Differential Operators with Forward Propagation. CoRR Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang
2024	J	`jnl`	DPO Meets PPO: Reinforced Token Optimization for RLHF. CoRR Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
2024	A*	`conf`	Do Efficient Transformers Really Save Computation? ICML Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
2024	J	`jnl`	Do Efficient Transformers Really Save Computation? CoRR Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
2024	J	`jnl`	End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction. CoRR Qingsi Lai, Lin Yao, Zhifeng Gao, Siyuan Liu, Hongshuai Wang, Shuqi Lu, Di He, Liwei Wang, Cheng Wang, Guolin Ke
2024	A*	`conf`	GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. ICML Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. CoRR Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	—	`conf`	GiT: Towards Generalist Vision Transformer Through Universal Language Interface. ECCV (29) Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang
2024	J	`jnl`	GiT: Towards Generalist Vision Transformer through Universal Language Interface. CoRR Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang
2024	A*	`conf`	GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs. NeurIPS Zhao Zhang, Ziwei Zhao, Dong Wang, Liwei Wang
2024	A	`conf`	Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation. AISTATS Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang
2024	J	`jnl`	How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs. CoRR Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang
2024	J	`jnl`	Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses. CoRR Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, Qingli Zhu, Yong Wang, Liwei Wang
2024	—	`conf`	LarvSeg: Exploring Image Classification Data for Large Vocabulary Semantic Segmentation via Category-Wise Attentive Classifier. PRCV (1) Haojun Yu, Di Dai, Ziwei Zhao, Di He, Han Hu, Liwei Wang
2024	A*	`conf`	Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. ICML Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang
2024	A*	`conf`	Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. ICML Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li
2024	J	`jnl`	Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. CoRR Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li
2024	J	`jnl`	Spin-symmetry-enforced solution of the many-body Schrödinger equation with a deep neural network. Nat. Comput. Sci. Zhe Li, Zixiang Lu, Ruichen Li, Xuelan Wen, Xiang Li, Liwei Wang, Ji Chen, Weiluo Ren
2024	J	`jnl`	TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters. CoRR Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele
2024	A*	`conf`	Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. ICML Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He
2024	J	`jnl`	Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. CoRR Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang
2023	A*	`conf`	A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. ICML Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
2023	J	`jnl`	A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
2023	A*	`conf`	A Reduction-based Framework for Sequential Decision Making with Delayed Feedback. NeurIPS Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du
2023	J	`jnl`	A Reduction-based Framework for Sequential Decision Making with Delayed Feedback. CoRR Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du
2023	J	`jnl`	CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity. CoRR Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-Chun Zhu
2023	A*	`conf`	ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CVPR Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
2023	J	`jnl`	ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CoRR Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
2023	A*	`conf`	DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CVPR Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang
2023	J	`jnl`	DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CoRR Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang
2023	A*	`conf`	Denoising Masked Autoencoders Help Robust Classification. ICLR Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He
2023	J	`jnl`	Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo. CoRR Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang
2023	J	`jnl`	Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation. CoRR Jiayi Huang, Han Zhong, Liwei Wang, Lin F. Yang
2023	A	`conf`	Learning Physics-Informed Neural Networks without Stacked Back-propagation. AISTATS Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
2023	J	`jnl`	Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection. CoRR Haojun Yu, Youcheng Li, Quanlin Wu, Ziwei Zhao, Dengbo Chen, Dong Wang, Liwei Wang
2023	—	`conf`	Mining Negative Temporal Contexts for False Positive Suppression in Real-Time Ultrasound Lesion Detection. MICCAI (6) Haojun Yu, Youcheng Li, Quanlin Wu, Ziwei Zhao, Dengbo Chen, Dong Wang, Liwei Wang
2023	A*	`conf`	Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. ICLR Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
2023	A*	`conf`	On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. ICML Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du
2023	A*	`conf`	One Transformer Can Understand Both 2D & 3D Molecular Data. ICLR Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2023	A*	`conf`	PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds. NeurIPS Hao Yang, Haiyang Wang, Di Dai, Liwei Wang
2023	J	`jnl`	PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds. CoRR Hao Yang, Haiyang Wang, Di Dai, Liwei Wang
2023	A*	`conf`	Provable Sim-to-real Transfer in Continuous Domain with Partial Observations. ICLR Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang
2023	J	`jnl`	Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. CoRR Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang
2023	A*	`conf`	Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
2023	J	`jnl`	Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
2023	A*	`conf`	Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds. NeurIPS Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang
2023	J	`jnl`	Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds. CoRR Jiayi Huang, Han Zhong, Liwei Wang, Lin F. Yang
2023	—	`conf`	Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-Aware Connection Classifier. MICCAI (7) Zhixing Zhang, Ziwei Zhao, Dong Wang, Shishuang Zhao, Yuhang Liu, Jia Liu, Liwei Wang
2023	J	`jnl`	Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier. CoRR Zhixing Zhang, Ziwei Zhao, Dong Wang, Shishuang Zhao, Yuhang Liu, Jia Liu, Liwei Wang
2023	A*	`conf`	Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective. NeurIPS Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
2023	J	`jnl`	Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
2023	A*	`conf`	UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. ICCV Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang
2023	J	`jnl`	UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. CoRR Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang
2022	A*	`conf`	A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning. ICLR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du
2022	J	`jnl`	Boosting 3D Object Detection via Object-Focused Image Fusion. CoRR Hao Yang, Chen Shi, Yihong Chen, Liwei Wang
2022	A*	`conf`	Boosting the Certified Robustness of L-infinity Distance Nets. ICLR Bohang Zhang, Du Jiang, Di He, Liwei Wang
2022	A*	`conf`	CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds. NeurIPS Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang
2022	J	`jnl`	CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds. CoRR Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang
2022	—	`conf`	Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection. ECCV (21) Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang
2022	J	`jnl`	Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection. CoRR Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang
2022	J	`jnl`	Denoising Masked AutoEncoders are Certifiable Robust Vision Learners. CoRR Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He
2022	J	`jnl`	GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond. CoRR Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang
2022	A*	`conf`	Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. ICML Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
2022	J	`jnl`	Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. CoRR Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
2022	A*	`conf`	Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS Chuwei Wang, Shanda Li, Di He, Liwei Wang
2022	J	`jnl`	Is L CoRR Chuwei Wang, Shanda Li, Di He, Liwei Wang
2022	J	`jnl`	Learning Physics-Informed Neural Networks without Stacked Back-propagation. CoRR Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
2022	A*	`conf`	Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver. ICLR Xiaoyu Chen, Jiachen Hu, Lin Yang, Liwei Wang
2022	J	`jnl`	Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. CoRR Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
2022	A*	`conf`	Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. ICML Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
2022	J	`jnl`	On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. CoRR Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon S. Du
2022	J	`jnl`	One Transformer Can Understand Both 2D & 3D Molecular Data. CoRR Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Di He, Liwei Wang
2022	A*	`conf`	Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. ICML Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
2022	J	`jnl`	Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. CoRR Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
2022	—	`conf`	PointScatter: Point Set Representation for Tubular Structure Extraction. ECCV (21) Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang
2022	J	`jnl`	PointScatter: Point Set Representation for Tubular Structure Extraction. CoRR Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang
2022	J	`jnl`	Provable Sim-to-real Transfer in Continuous Domain with Partial Observations. CoRR Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang
2022	A*	`conf`	RBGNet: Ray-based Grouping for 3D Object Detection. CVPR Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang
2022	J	`jnl`	RBGNet: Ray-based Grouping for 3D Object Detection. CoRR Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang
2022	J	`jnl`	Reconstruction Task Finds Universal Winning Tickets. CoRR Ruichen Li, Binghui Li, Qi Qian, Liwei Wang
2022	A*	`conf`	Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. NeurIPS Bohang Zhang, Du Jiang, Di He, Liwei Wang
2022	J	`jnl`	Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. CoRR Bohang Zhang, Du Jiang, Di He, Liwei Wang
2022	A*	`conf`	Understanding Domain Randomization for Sim-to-real Transfer. ICLR Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang
2022	A*	`conf`	Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. NeurIPS Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
2022	J	`jnl`	Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. CoRR Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
2022	A*	`conf`	Your Transformer May Not be as Powerful as You Expect. NeurIPS Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2022	J	`jnl`	Your Transformer May Not be as Powerful as You Expect. CoRR Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2021	J	`jnl`	A Unified Framework for Conservative Exploration. CoRR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du
2021	A*	`conf`	Augmented Partial Mutual Learning with Frame Masking for Video Captioning. AAAI Ke Lin, Zhuoxin Gan, Liwei Wang
2021	J	`jnl`	Boosting the Certified Robustness of L-infinity Distance Nets. CoRR Bohang Zhang, Du Jiang, Di He, Liwei Wang
2021	A*	`conf`	Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs. NeurIPS Han Zhong, Jiayi Huang, Lin Yang, Liwei Wang
2021	J	`jnl`	Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs. CoRR Han Zhong, Jiayi Huang, Lin F. Yang, Liwei Wang
2021	J	`jnl`	Collaborative Visual Navigation. CoRR Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, Liwei Wang
2021	A*	`conf`	Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection. CVPR Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, Liwei Wang
2021	J	`jnl`	Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection. CoRR Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, Liwei Wang
2021	A*	`conf`	Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. ICLR Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
2021	A*	`conf`	GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. ICML Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
2021	J	`jnl`	Multi-stage Optimization based Adversarial Training. CoRR Xiaosen Wang, Chuanbiao Song, Liwei Wang, Kun He
2021	A*	`conf`	Near-Optimal Representation Learning for Linear Bandits and Linear RL. ICML Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang
2021	J	`jnl`	Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver. CoRR Xiaoyu Chen, Jiachen Hu, Lin F. Yang, Liwei Wang
2021	J	`jnl`	Near-optimal Representation Learning for Linear Bandits and Linear RL. CoRR Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang
2021	J	`jnl`	Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. CoRR Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
2021	A*	`conf`	Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. NeurIPS Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
2021	J	`jnl`	Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. CoRR Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
2021	A*	`conf`	On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP. ICML Tianhao Wu, Yunchang Yang, Simon S. Du, Liwei Wang
2021	A*	`conf`	Region-aware Contrastive Learning for Semantic Segmentation. ICCV Hanzhe Hu, Jinshi Cui, Liwei Wang
2021	J	`jnl`	Revisiting Language Encoding in Learning Multilingual Representations. CoRR Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
2021	—	`conf`	ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos. ICDAR@ICMR Meng-Jiun Chiou, Chun-Yu Liao, Liwei Wang, Roger Zimmermann, Jiashi Feng
2021	J	`jnl`	ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos. CoRR Meng-Jiun Chiou, Chun-Yu Liao, Liwei Wang, Roger Zimmermann, Jiashi Feng
2021	A*	`conf`	Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. NeurIPS Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang
2021	J	`jnl`	Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. CoRR Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang
2021	A*	`conf`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	J	`jnl`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	A*	`conf`	Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons. ICML Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
2021	J	`jnl`	Towards Certifying 𝓁 CoRR Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
2021	A*	`conf`	Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2021	J	`jnl`	Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2021	J	`jnl`	Understanding Domain Randomization for Sim-to-real Transfer. CoRR Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang
2021	—	`conf`	Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations. MICCAI (8) Ruiheng Chang, Dong Wang, Haiyan Guo, Jia Ding, Liwei Wang
2020	A*	`conf`	(Locally) Differentially Private Combinatorial Semi-Bandits. ICML Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang
2020	J	`jnl`	(Locally) Differentially Private Combinatorial Semi-Bandits. CoRR Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang
2020	A*	`conf`	Boosting Few-Shot Learning With Adaptive Margin Loss. CVPR Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
2020	J	`jnl`	Boosting Few-Shot Learning With Adaptive Margin Loss. CoRR Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
2020	J	`jnl`	Combinatorial Semi-Bandit in the Non-Stationary Environment. CoRR Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng
2020	—	`conf`	Dense RepPoints: Representing Visual Objects with Dense Point Sets. ECCV (21) Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
2020	A*	`conf`	Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication. ICLR Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
2020	J	`jnl`	Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. CoRR Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
2020	A*	`conf`	FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CVPR Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang
2020	J	`jnl`	FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CoRR Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang
2020	J	`jnl`	GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
2020	—	`conf`	Improve Bone Age Assessment by Learning from Anatomical Local Regions. MICCAI (6) Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang
2020	J	`jnl`	Improve bone age assessment by learning from anatomical local regions. CoRR Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang
2020	A*	`conf`	Improved Analysis of Clipping Algorithms for Non-convex Optimization. NeurIPS Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
2020	J	`jnl`	Improved Analysis of Clipping Algorithms for Non-convex Optimization. CoRR Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
2020	J	`jnl`	LID 2020: The Learning from Imperfect Data Challenge Results. CoRR Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He
2020	A*	`conf`	Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. ICLR Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
2020	J	`jnl`	Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. CoRR Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
2020	A*	`conf`	Locally Differentially Private (Contextual) Bandits Learning. NeurIPS Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
2020	J	`jnl`	Locally Differentially Private (Contextual) Bandits Learning. CoRR Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
2020	A*	`conf`	MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020	J	`jnl`	MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020	J	`jnl`	MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu
2020	A*	`conf`	Memory Enhanced Global-Local Aggregation for Video Object Detection. CVPR Yihong Chen, Yue Cao, Han Hu, Liwei Wang
2020	J	`jnl`	Memory Enhanced Global-Local Aggregation for Video Object Detection. CoRR Yihong Chen, Yue Cao, Han Hu, Liwei Wang
2020	J	`jnl`	Multi-modal Feature Fusion with Feature Attention for VATEX Captioning Challenge 2020. CoRR Ke Lin, Zhuoxin Gan, Liwei Wang
2020	A*	`conf`	Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks. ICLR Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
2020	A*	`conf`	On Layer Normalization in the Transformer Architecture. ICML Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
2020	J	`jnl`	On Layer Normalization in the Transformer Architecture. CoRR Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
2020	A*	`conf`	Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. ICLR Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang
2020	J	`jnl`	RANDOM MASK: Towards Robust Convolutional Neural Networks. CoRR Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang
2020	J	`jnl`	RepPoints V2: Verification Meets Regression for Object Detection. CoRR Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
2020	A*	`conf`	RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
2020	A*	`conf`	Robust Local Features for Improving the Generalization of Adversarial Training. ICLR Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
2020	A*	`conf`	Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. NeurIPS Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
2020	J	`jnl`	Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. CoRR Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
2020	—	`conf`	Semi-Supervised Learning for Video Captioning. EMNLP (Findings) Ke Lin, Zhuoxin Gan, Liwei Wang
2020	J	`jnl`	Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. Int. J. Comput. Vis. Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen
2020	J	`jnl`	Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong
2019	J	`jnl`	A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems. CoRR Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang
2019	J	`jnl`	Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang
2019	J	`jnl`	Convergence of Adversarial Training in Overparametrized Networks. CoRR Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee
2019	A*	`conf`	Convergence of Adversarial Training in Overparametrized Neural Networks. NeurIPS Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason D. Lee
2019	J	`jnl`	Defective Convolutional Layers Learn Robust CNNs. CoRR Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang
2019	J	`jnl`	Dense RepPoints: Representing Visual Objects with Dense Point Sets. CoRR Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
2019	J	`jnl`	Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret. CoRR Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
2019	A*	`conf`	Efficient Training of BERT by Progressively Stacking. ICML Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	A*	`conf`	Equipping Experts/Bandits with Long-term Memory. NeurIPS Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang
2019	J	`jnl`	Equipping Experts/Bandits with Long-term Memory. CoRR Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang
2019	A*	`conf`	Few-Shot Learning With Global Class Representations. ICCV Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang
2019	J	`jnl`	Few-Shot Learning with Global Class Representations. CoRR Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang
2019	A*	`conf`	Gradient Descent Finds Global Minima of Deep Neural Networks. ICML Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai
2019	—	`conf`	Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Hint-Based Training for Non-Autoregressive Machine Translation. CoRR Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	—	`conf`	Improving the Generalization of Adversarial Training with Domain Adaptation. ICLR (Poster) Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
2019	A*	`conf`	Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. CVPR Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang
2019	A*	`conf`	Learning Relationships for Multi-View 3D Object Recognition. ICCV Ze Yang, Liwei Wang
2019	A*	`conf`	McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds. NeurIPS Rui Ray Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang
2019	J	`jnl`	McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds. CoRR Rui Ray Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang
2019	J	`jnl`	Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing. CoRR Jun Gao, Xiao Li, Liwei Wang, Sanja Fidler, Stephen Lin
2019	J	`jnl`	Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples. CoRR Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
2019	J	`jnl`	On the Anomalous Generalization of GANs. CoRR Jinchen Xuan, Yunchang Yang, Ze Yang, Di He, Liwei Wang
2019	J	`jnl`	Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. CoRR Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang
2019	A*	`conf`	RepPoints: Point Set Representation for Object Detection. ICCV Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin
2019	J	`jnl`	RepPoints: Point Set Representation for Object Detection. CoRR Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin
2019	—	`conf`	Representation Degeneration Problem in Training Natural Language Generation Models. ICLR (Poster) Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Representation Degeneration Problem in Training Natural Language Generation Models. CoRR Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Robust Local Features for Improving the Generalization of Adversarial Training. CoRR Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
2019	J	`jnl`	Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. CoRR Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	A*	`conf`	Dropout Training, Data-dependent Regularization, and Generalization Bounds. ICML Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang
2018	A*	`conf`	FRAGE: Frequency-Agnostic Word Representation. NeurIPS Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	J	`jnl`	FRAGE: Frequency-Agnostic Word Representation. CoRR Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	A*	`conf`	Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. COLT Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng
2018	J	`jnl`	Gradient Descent Finds Global Minima of Deep Neural Networks. CoRR Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai
2018	J	`jnl`	Improving the Generalization of Adversarial Training with Domain Adaptation. CoRR Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
2018	J	`jnl`	Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation. IEEE Trans. Cybern. Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen
2018	—	`conf`	Learning Region Features for Object Detection. ECCV (12) Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai
2018	J	`jnl`	Learning Region Features for Object Detection. CoRR Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai
2018	—	`conf`	Learning to Navigate for Fine-Grained Classification. ECCV (14) Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang
2018	J	`jnl`	Learning to Navigate for Fine-grained Classification. CoRR Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang
2018	B	`conf`	Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations. MFCS Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou
2018	A*	`conf`	Towards Binary-Valued Gates for Robust LSTM Training. ICML Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	J	`jnl`	Towards Binary-Valued Gates for Robust LSTM Training. CoRR Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	A*	`conf`	Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. NeurIPS Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John E. Hopcroft
2018	J	`jnl`	Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. CoRR Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John E. Hopcroft
2018	J	`jnl`	Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. CoRR Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen
2017	—	`conf`	A Refined Analysis of LSH for Well-dispersed Data Points. ANALCO Wenlong Mou, Liwei Wang
2017	—	`conf`	Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks. MICCAI (3) Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang
2017	J	`jnl`	Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks. CoRR Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang
2017	A*	`conf`	Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. ICML Kai Zheng, Wenlong Mou, Liwei Wang
2017	J	`jnl`	Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. CoRR Kai Zheng, Wenlong Mou, Liwei Wang
2017	—	`conf`	Decoding with Value Networks for Neural Machine Translation. NIPS Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu
2017	A*	`conf`	Efficient Private ERM for Smooth Objectives. IJCAI Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang
2017	J	`jnl`	Efficient Private ERM for Smooth Objectives. CoRR Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang
2017	J	`jnl`	Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. CoRR Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng
2017	J	`jnl`	Learning from Weak and Noisy Labels for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao
2017	A*	`conf`	Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. COLT Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang
2017	J	`jnl`	Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. CoRR Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang
2017	—	`conf`	The Expressive Power of Neural Networks: A View from the Width. NIPS Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Liwei Wang
2017	J	`jnl`	The Expressive Power of Neural Networks: A View from the Width. CoRR Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Liwei Wang
2017	J	`jnl`	Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics. CoRR Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Xinqi Li, Ji-Rong Wen
2017	J	`jnl`	Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Ji-Rong Wen
2016	J	`jnl`	A Refined Analysis of LSH for Well-dispersed Data Points. CoRR Wenlong Mou, Liwei Wang
2016	J	`jnl`	Differentially Private Data Releasing for Smooth Queries. J. Mach. Learn. Res. Ziteng Wang, Chi Jin, Kai Fan, Jiaqi Zhang, Junliang Huang, Yiqiao Zhong, Liwei Wang
2016	—	`conf`	Dual Learning for Machine Translation. NIPS Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma
2016	J	`jnl`	Dual Learning for Machine Translation. CoRR Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma
2016	J	`jnl`	Exploring demographic information in social media for product recommendation. Knowl. Inf. Syst. Wayne Xin Zhao, Sui Li, Yulan He, Liwei Wang, Ji-Rong Wen, Xiaoming Li
2016	B	`conf`	HMSNN: Hippocampus inspired Memory Spiking Neural Network. SMC Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu
2016	J	`jnl`	Image classification by visual bag-of-words refinement and reduction. Neurocomputing Zhiwu Lu, Liwei Wang, Ji-Rong Wen
2016	J	`jnl`	Nonlinear Dimensionality Reduction by Local Orthogonality Preserving Alignment. J. Comput. Sci. Technol. Li Tong, Yao Liu, Bo Wang, Liwei Wang, Hongbin Zha
2016	A*	`conf`	On the Depth of Deep Neural Networks: A Theoretical View. AAAI Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu
2016	J	`jnl`	Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization. CoRR Wenlong Mou, Zhi Wang, Liwei Wang
2015	J	`jnl`	Image classification by visual bag-of-words refinement and reduction. CoRR Zhiwu Lu, Liwei Wang, Ji-Rong Wen
2015	J	`jnl`	Large Margin Deep Neural Networks: Theory and Algorithms. CoRR Shizhao Sun, Wei Chen, Liwei Wang, Tie-Yan Liu
2015	J	`jnl`	Learning descriptive visual representation for image classification and annotation. Pattern Recognit. Zhiwu Lu, Liwei Wang
2015	A*	`conf`	Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. AAAI Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang
2015	J	`jnl`	Noise-robust semi-supervised learning via fast sparse coding. Pattern Recognit. Zhiwu Lu, Liwei Wang
2015	J	`jnl`	On Low Rank Approximation of Binary Matrices. CoRR Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou
2015	J	`jnl`	On the measurement complexity of differentially private query answering. Sci. China Inf. Sci. Liwei Wang, Jiapeng Zhang
2015	J	`jnl`	Pairwise Constraint Propagation on Multi-View Data. CoRR Zhiwu Lu, Liwei Wang
2015	J	`jnl`	Semantic Sparse Recoding of Visual Content for Image Applications. IEEE Trans. Image Process. Zhiwu Lu, Peng Han, Liwei Wang, Ji-Rong Wen
2015	A*	`conf`	Social Image Parsing by Cross-Modal Data Refinement. IJCAI Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen
2014	J	`jnl`	A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. CoRR Di He, Wei Chen, Liwei Wang, Tie-Yan Liu
2014	J	`jnl`	Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing. CoRR Zhiwu Lu, Liwei Wang
2014	J	`jnl`	Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output. CoRR Chi Jin, Ziteng Wang, Junliang Huang, Yiqiao Zhong, Liwei Wang
2014	A*	`conf`	Direct Semantic Analysis for Social Image Classification. AAAI Zhiwu Lu, Liwei Wang, Ji-Rong Wen
2014	J	`jnl`	Generalized Second Price Auction with Probabilistic Broad Match. CoRR Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang
2014	A*	`conf`	Generalized second price auction with probabilistic broad match. EC Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang
2014	J	`jnl`	Learning a generative classifier from label proportions. Neurocomputing Kai Fan, Hongyi Zhang, Songbai Yan, Liwei Wang, Wensheng Zhang, Jufu Feng
2013	A*	`conf`	A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. IJCAI Di He, Wei Chen, Liwei Wang, Tie-Yan Liu
2013	J	`jnl`	A Theoretical Analysis of NDCG Type Ranking Measures CoRR Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen
2013	A*	`conf`	A Theoretical Analysis of NDCG Type Ranking Measures. COLT Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu
2013	—	`conf`	Efficient Algorithm for Privately Releasing Smooth Queries. NIPS Ziteng Wang, Kai Fan, Jiaqi Zhang, Liwei Wang
2013	J	`jnl`	Online learning for auction mechanism in bandit setting. Decis. Support Syst. Di He, Wei Chen, Liwei Wang, Tie-Yan Liu
2012	—	`conf`	Dimensionality Dependent PAC-Bayes Margin Bound. NIPS Chi Jin, Liwei Wang
2012	—	`conf`	Estimation Based on RBM from Label Proportions in Large Group Case. IScIDE Kai Fan, Hongyi Zhang, Yu Zang, Liwei Wang
2012	J	`jnl`	Further results on the margin explanation of boosting: new algorithm and experiments. Sci. China Inf. Sci. Liwei Wang, Xiaocheng Deng, Zhaoxiang Jing, Jufu Feng
2011	J	`jnl`	A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin. J. Mach. Learn. Res. Liwei Wang, Masashi Sugiyama, Zhaoxiang Jing, Cheng Yang, Zhi-Hua Zhou, Jufu Feng
2011	—	`conf`	Learning from error: A two-level combined model for image classification. ACPR Mingyang Jiang, Chunxiao Li, Zirui Deng, Jufu Feng, Liwei Wang
2010	—	`conf`	Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach. ACCV (3) Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang
2010	—	`conf`	Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework. ACCV (3) Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang
2009	J	`jnl`	A Density-ratio Framework for Statistical Data Processing. Inf. Media Technol. Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang
2009	J	`jnl`	A Density-ratio Framework for Statistical Data Processing. IPSJ Trans. Comput. Vis. Appl. Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang
2009	J	`jnl`	A Novel Margin Based Algorithm for Feature Extraction. New Gener. Comput. Cheng Yang, Liwei Wang, Jufu Feng
2009	A*	`conf`	Learning IMED via shift-invariant transformation. CVPR Bing Sun, Jufu Feng, Liwei Wang
2009	J	`jnl`	Theory and Algorithm for Learning with Dissimilarity Functions. Neural Comput. Liwei Wang, Masashi Sugiyama, Cheng Yang, Kohei Hatano, Jufu Feng
2008	J	`jnl`	On Feature Extraction via Kernels. IEEE Trans. Syst. Man Cybern. Part B Cheng Yang, Liwei Wang, Jufu Feng
2008	A*	`conf`	On the Margin Explanation of Boosting Algorithms. COLT Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng
2007	J	`jnl`	Further results on the subspace distance. Pattern Recognit. Xichen Sun, Liwei Wang, Jufu Feng
2007	A*	`conf`	On learning with dissimilarity functions. ICML Liwei Wang, Cheng Yang, Jufu Feng
2007	A*	`conf`	Rademacher Margin Complexity. COLT Liwei Wang, Jufu Feng
2006	J	`jnl`	Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'. IEEE Trans. Pattern Anal. Mach. Intell. Liwei Wang, Jufu Feng
2006	J	`jnl`	On image matrix based feature extraction algorithms. IEEE Trans. Syst. Man Cybern. Part B Liwei Wang, Xiao Wang, Jufu Feng
2006	J	`jnl`	Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition. Pattern Recognit. Liwei Wang, Xiao Wang, Jufu Feng
2005	J	`jnl`	Intrapersonal subspace analysis with application to adaptive Bayesian face recognition. Pattern Recognit. Liwei Wang, Xiao Wang, Jufu Feng
2005	J	`jnl`	On the Euclidean Distance of Images. IEEE Trans. Pattern Anal. Mach. Intell. Liwei Wang, Yan Zhang, Jufu Feng
2005	J	`jnl`	The equivalence of two-dimensional PCA to line-based PCA. Pattern Recognit. Lett. Liwei Wang, Xiao Wang, Xuerong Zhang, Jufu Feng