Wang, Liwei

154 publications

ICCV 2025 AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning Yiwu Zhong, Zhuoming Liu, Yin Li, Liwei Wang

ICML 2025 BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning 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

CVPR 2025 Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding Zhaoran Zhao, Peng Lu, Anran Zhang, Peipei Li, Xia Li, Xuannan Liu, Yang Hu, Shiyi Chen, Liwei Wang, Wenhao Guo

ICML 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang

CVPR 2025 DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image Ziwei Zhao, Zhixing Zhang, Yuhang Liu, Zhao Zhang, Haojun Yu, Dong Wang, Liwei Wang

ICCV 2025 End-to-End Entity-Predicate Association Reasoning for Dynamic Scene Graph Generation Liwei Wang, Yanduo Zhang, Tao Lu, Fang Liu, Huiqin Zhang, Jiayi Ma, Huabing Zhou

ICCV 2025 Fine-Grained Spatiotemporal Grounding on Egocentric Videos Shuo Liang, Yiwu Zhong, Zi-Yuan Hu, Yeyao Tao, Liwei Wang

ICLR 2025 Homomorphism Expressivity of Spectral Invariant Graph Neural Networks Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang

NeurIPS 2025 Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors Duo Zheng, Shijia Huang, Yanyang Li, Liwei Wang

ICML 2025 The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang

NeurIPS 2025 Theoretical Benefit and Limitation of Diffusion Language Model Guhao Feng, Yihan Geng, Jian Guan, Wei Wu, Liwei Wang, Di He

ICLR 2025 TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele

NeurIPS 2025 UFO: A Unified Approach to Fine-Grained Visual Perception via Open-Ended Language Interface Hao Tang, Chen-Wei Xie, Haiyang Wang, Xiaoyi Bao, Tingyu Weng, Pandeng Li, Yun Zheng, Liwei Wang

NeurIPS 2025 UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection Jigang Fan, QuanLin Wu, Shengjie Luo, Liwei Wang

CVPR 2025 Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding Duo Zheng, Shijia Huang, Liwei Wang

ICLR 2024 Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang

NeurIPS 2024 Bridging Geometric States via Geometric Diffusion Bridge Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang

ICLRW 2024 DOF: Accelerating High-Order Differential Operators with Forward Propagation Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang

ICMLW 2024 DPO Meets PPO: Reinforced Token Optimization for RLHF Han Zhong, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang

ICML 2024 Do Efficient Transformers Really Save Computation? Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang

ICML 2024 GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang

ECCV 2024 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

NeurIPS 2024 GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs Zhao Zhang, Ziwei Zhao, Dong Wang, Liwei Wang

AISTATS 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang

AISTATS 2024 On Cyclical MCMC Sampling Liwei Wang, Xinru Liu, Aaron Smith, Aguemon Y Atchade

ICML 2024 Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang

ICML 2024 Quantum Algorithms and Lower Bounds for Finite-Sum Optimization Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li

CVPR 2024 Towards Learning a Generalist Model for Embodied Navigation Duo Zheng, Shijia Huang, Lin Zhao, Yiwu Zhong, Liwei Wang

ICML 2024 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

NeurIPS 2024 Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang

ICML 2023 A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang

NeurIPS 2023 A Reduction-Based Framework for Sequential Decision Making with Delayed Feedback Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S Du

CVPR 2023 ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang

CVPR 2023 DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang

ICLR 2023 Denoising Masked Autoencoders Help Robust Classification QuanLin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He

ICLR 2023 Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan

NeurIPSW 2023 GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang

AISTATS 2023 Learning Physics-Informed Neural Networks Without Stacked Back-Propagation Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

ICLR 2023 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

ICML 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang

ICML 2023 On the Power of Pre-Training for Generalization in RL: Provable Benefits and Hardness Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du

ICLR 2023 One Transformer Can Understand Both 2D & 3D Molecular Data Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He

NeurIPS 2023 PRED: Pre-Training via Semantic Rendering on LiDAR Point Clouds Hao Yang, Haiyang Wang, Di Dai, Liwei Wang

ICLR 2023 Provable Sim-to-Real Transfer in Continuous Domain with Partial Observations Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang

ICLR 2023 Rethinking the Expressive Power of GNNs via Graph Biconnectivity Bohang Zhang, Shengjie Luo, Liwei Wang, Di He

NeurIPS 2023 Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang

NeurIPS 2023 Towards Revealing the Mystery Behind Chain of Thought: A Theoretical Perspective Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang

ICCV 2023 UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang

ICCV 2023 VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang

ICLR 2022 A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du

ICLR 2022 Boosting the Certified Robustness of L-Infinity Distance Nets Bohang Zhang, Du Jiang, Di He, Liwei Wang

NeurIPS 2022 CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang

ECCV 2022 Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang

NeurIPS 2022 ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition Rui Ding, Kehua Guo, Xiangyuan Zhu, Zheng Wu, Liwei Wang

ECCV 2022 DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia

ICML 2022 Human-in-the-Loop: Provably Efficient Preference-Based Reinforcement Learning with General Function Approximation Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang

NeurIPS 2022 Is $l^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? Chuwei Wang, Shanda Li, Di He, Liwei Wang

CVPR 2022 Multi-View Transformer for 3D Visual Grounding Shijia Huang, Yilun Chen, Jiaya Jia, Liwei Wang

ICLR 2022 Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver Xiaoyu Chen, Jiachen Hu, Lin Yang, Liwei Wang

ICML 2022 Nearly Optimal Policy Optimization with Stable at Any Time Guarantee Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon Du, Jiantao Jiao

ICML 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang

ICLRW 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang

ECCV 2022 PointScatter: Point Set Representation for Tubular Structure Extraction Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang

CVPR 2022 RBGNet: Ray-Based Grouping for 3D Object Detection Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang

NeurIPS 2022 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective Bohang Zhang, Du Jiang, Di He, Liwei Wang

CVPR 2022 Stratified Transformer for 3D Point Cloud Segmentation Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia

ICLR 2022 Understanding Domain Randomization for Sim-to-Real Transfer Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang

CVPR 2022 Voxel Field Fusion for 3D Object Detection Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia

NeurIPS 2022 Why Robust Generalization in Deep Learning Is Difficult: Perspective of Expressive Power Binghui Li, Jikai Jin, Han Zhong, John Hopcroft, Liwei Wang

NeurIPS 2022 Your Transformer May Not Be as Powerful as You Expect Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He

AAAI 2021 Augmented Partial Mutual Learning with Frame Masking for Video Captioning Ke Lin, Zhuoxin Gan, Liwei Wang

NeurIPS 2021 Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs Han Zhong, Jiayi Huang, Lin Yang, Liwei Wang

UAI 2021 Combinatorial Semi-Bandit in the Non-Stationary Environment Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng

ICCV 2021 Deep Structured Instance Graph for Distilling Object Detectors Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia

CVPR 2021 Dense Relation Distillation with Context-Aware Aggregation for Few-Shot Object Detection Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, Liwei Wang

ICLR 2021 Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang

CVPR 2021 Fully Convolutional Networks for Panoptic Segmentation Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia

ICML 2021 GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang

CVPR 2021 Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu

ICCV 2021 Learnable Boundary Guided Adversarial Training Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia

ICML 2021 Near-Optimal Representation Learning for Linear Bandits and Linear RL Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang

NeurIPS 2021 Non-Convex Distributionally Robust Optimization: Non-Asymptotic Analysis Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang

ICML 2021 On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP Tianhao Wu, Yunchang Yang, Simon Du, Liwei Wang

ICCV 2021 Region-Aware Contrastive Learning for Semantic Segmentation Hanzhe Hu, Jinshi Cui, Liwei Wang

ICCV 2021 SAT: 2D Semantics Assisted Training for 3D Visual Grounding Zhengyuan Yang, Songyang Zhang, Liwei Wang, Jiebo Luo

CVPR 2021 Self-Supervised 3D Mesh Reconstruction from Single Images Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia

NeurIPS 2021 Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang

CVPR 2021 Semi-Supervised Semantic Segmentation with Directional Context-Aware Consistency Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia

NeurIPS 2021 Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu

ICML 2021 Towards Certifying L-Infinity Robustness Using Neural Networks with L-Inf-Dist Neurons Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang

NeurIPS 2021 Towards a Theoretical Framework of Out-of-Distribution Generalization Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang

ICML 2020 (Locally) Differentially Private Combinatorial Semi-Bandits Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang

ECCV 2020 Comprehensive Image Captioning via Scene Graph Decomposition Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li

ECCV 2020 Dense RepPoints: Representing Visual Objects with Dense Point Sets Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu

ICLR 2020 Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang

NeurIPS 2020 Improved Analysis of Clipping Algorithms for Non-Convex Optimization Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang

ECCV 2020 Improving One-Stage Visual Grounding by Recursive Sub-Query Construction Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo

ICLR 2020 Learning to Group: A Bottom-up Framework for 3D Part Discovery in Unseen Categories Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su

NeurIPS 2020 Locally Differentially Private (Contextual) Bandits Learning Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang

ICLR 2020 MACER: Attack-Free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang

ICLR 2020 Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft

ICML 2020 On Layer Normalization in the Transformer Architecture Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tieyan Liu

ICLR 2020 Q-Learning with UCB Exploration Is Sample Efficient for Infinite-Horizon MDP Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang

NeurIPS 2020 RepPoints V2: Verification Meets Regression for Object Detection Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu

ICLR 2020 Robust Local Features for Improving the Generalization of Adversarial Training Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft

NeurIPS 2020 Sanity-Checking Pruning Methods: Random Tickets Can Win the Jackpot Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason Lee

ICLR 2020 Understanding and Improving Transformer from a Multi-Particle Dynamic System Point of View Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu

ICLRW 2020 Understanding and Improving Transformer from a Multi-Particle Dynamic System Point of View. Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-yan Liu

NeurIPS 2019 Convergence of Adversarial Training in Overparametrized Neural Networks Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason Lee

ICML 2019 Efficient Training of BERT by Progressively Stacking Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tieyan Liu

NeurIPS 2019 Equipping Experts/Bandits with Long-Term Memory Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang

ICML 2019 Gradient Descent Finds Global Minima of Deep Neural Networks Simon Du, Jason Lee, Haochuan Li, Liwei Wang, Xiyu Zhai

ICLR 2019 Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft

NeurIPS 2019 McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds Rui Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang

ICLR 2019 Representation Degeneration Problem in Training Natural Language Generation Models Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tieyan Liu

ICML 2018 Dropout Training, Data-Dependent Regularization, and Generalization Bounds Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang

NeurIPS 2018 FRAGE: Frequency-Agnostic Word Representation Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu

COLT 2018 Generalization Bounds of SGLD for Non-Convex Learning: Two Theoretical Viewpoints Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng

ECCV 2018 Learning Region Features for Object Detection Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai

ECCV 2018 Learning to Navigate for Fine-Grained Classification Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang

ICML 2018 Towards Binary-Valued Gates for Robust LSTM Training Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tieyan Liu

NeurIPS 2018 Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John Hopcroft

ICML 2017 Collect at Once, Use Effectively: Making Non-Interactive Locally Private Learning Possible Kai Zheng, Wenlong Mou, Liwei Wang

NeurIPS 2017 Decoding with Value Networks for Neural Machine Translation Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu

NeurIPS 2017 Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space Liwei Wang, Alexander Schwing, Svetlana Lazebnik

IJCAI 2017 Efficient Private ERM for Smooth Objectives Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang

COLT 2017 Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang

NeurIPS 2017 The Expressive Power of Neural Networks: A View from the Width Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Liwei Wang

JMLR 2016 Differentially Private Data Releasing for Smooth Queries Ziteng Wang, Chi Jin, Kai Fan, Jiaqi Zhang, Junliang Huang, Yiqiao Zhong, Liwei Wang

NeurIPS 2016 Dual Learning for Machine Translation Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma

CVPR 2016 Learning Deep Structure-Preserving Image-Text Embeddings Liwei Wang, Yin Li, Svetlana Lazebnik

AAAI 2016 On the Depth of Deep Neural Networks: A Theoretical View Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu

ICCV 2015 Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik

AAAI 2015 Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang

IJCAI 2015 Social Image Parsing by Cross-Modal Data Refinement Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen

AAAI 2014 Direct Semantic Analysis for Social Image Classification Zhiwu Lu, Liwei Wang, Ji-Rong Wen

ECCV 2014 Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier, Svetlana Lazebnik

UAI 2014 Learning to Predict from Crowdsourced Data Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu

ECCV 2014 Multi-Scale Orderless Pooling of Deep Convolutional Activation Features Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik

IJCAI 2013 A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search Di He, Wei Chen, Liwei Wang, Tie-Yan Liu

COLT 2013 A Theoretical Analysis of NDCG Type Ranking Measures Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu

NeurIPS 2013 Efficient Algorithm for Privately Releasing Smooth Queries Ziteng Wang, Kai Fan, Jiaqi Zhang, Liwei Wang

ECCV 2012 Bayesian Face Revisited: A Joint Formulation Dong Chen, Xudong Cao, Liwei Wang, Fang Wen, Jian Sun

NeurIPS 2012 Dimensionality Dependent PAC-Bayes Margin Bound Chi Jin, Liwei Wang

AAAI 2012 Discriminative Clustering via Generative Feature Mapping Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia

CVPR 2012 Learning Sparse Covariance Patterns for Natural Scenes Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David P. Wipf, James M. Rehg

CVPRW 2012 Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu

JMLR 2011 A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin Liwei Wang, Masashi Sugiyama, Zhaoxiang Jing, Cheng Yang, Zhi-Hua Zhou, Jufu Feng

JMLR 2011 Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning Liwei Wang

CVPR 2009 Learning IMED via Shift-Invariant Transformation Bing Sun, Jufu Feng, Liwei Wang

NeurIPS 2009 Sufficient Conditions for Agnostic Active Learnable Liwei Wang

COLT 2008 On the Margin Explanation of Boosting Algorithms Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng

ICML 2007 On Learning with Dissimilarity Functions Liwei Wang, Cheng Yang, Jufu Feng

COLT 2007 Rademacher Margin Complexity Liwei Wang, Jufu Feng