Liwei Wang

According to our database, Liwei Wang authored at least 183 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, January, 2025

2024

Spin-symmetry-enforced solution of the many-body Schrödinger equation with a deep neural network.

Zhe Li, Zixiang Lu, Ruichen Li, Xuelan Wen, Xiang Li, Liwei Wang, Ji Chen, Weiluo Ren

Nat. Comput. Sci., December, 2024

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

CoRR, 2024

How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs.

Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang

CoRR, 2024

DPO Meets PPO: Reinforced Token Optimization for RLHF.

Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang

CoRR, 2024

DOF: Accelerating High-order Differential Operators with Forward Propagation.

Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang

CoRR, 2024

End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction.

Qingsi Lai, Lin Yao, Zhifeng Gao, Siyuan Liu, Hongshuai Wang, Shuqi Lu, Di He, Liwei Wang, Cheng Wang, Guolin Ke

CoRR, 2024

LarvSeg: Exploring Image Classification Data for Large Vocabulary Semantic Segmentation via Category-Wise Attentive Classifier.

Haojun Yu, Di Dai, Ziwei Zhao, Di He, Han Hu, Liwei Wang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Bridging Geometric States via Geometric Diffusion Bridge.

Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization.

Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning.

Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret.

Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.

Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation.

Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity.

Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-Chun Zhu

CoRR, 2023

Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo.

Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective.

Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests.

Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang

Proceedings of the International Conference on Machine Learning, 2023

On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness.

Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du

Proceedings of the International Conference on Machine Learning, 2023

Rethinking the Expressive Power of GNNs via Graph Biconnectivity.

Bohang Zhang, Shengjie Luo, Liwei Wang, Di He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Denoising Masked Autoencoders Help Robust Classification.

Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations.

Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond.

Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang

CoRR, 2022

Denoising Masked AutoEncoders are Certifiable Robust Vision Learners.

Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He

CoRR, 2022

Is L² Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?

Chuwei Wang, Shanda Li, Di He, Liwei Wang

CoRR, 2022

Reconstruction Task Finds Universal Winning Tickets.

Ruichen Li, Binghui Li, Qi Qian, Liwei Wang

CoRR, 2022

Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective.

Bohang Zhang, Du Jiang, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?

Chuwei Wang, Shanda Li, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Your Transformer May Not be as Powerful as You Expect.

Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power.

Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the International Conference on Machine Learning, 2022

Nearly Optimal Policy Optimization with Stable at Any Time Guarantee.

Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the International Conference on Machine Learning, 2022

Boosting the Certified Robustness of L-infinity Distance Nets.

Bohang Zhang, Du Jiang, Di He, Liwei Wang

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Understanding Domain Randomization for Sim-to-real Transfer.

Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver.

Xiaoyu Chen, Jiachen Hu, Lin Yang, Liwei Wang

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Collaborative Visual Navigation.

Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, Liwei Wang

CoRR, 2021

Multi-stage Optimization based Adversarial Training.

Xiaosen Wang, Chuanbiao Song, Liwei Wang, Kun He

CoRR, 2021

A Unified Framework for Conservative Exploration.

Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du

CoRR, 2021

Revisiting Language Encoding in Learning Multilingual Representations.

Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu

CoRR, 2021

Towards Certifying 𝓁_∞ Robustness using Neural Networks with 𝓁_∞-dist Neurons.

Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang

CoRR, 2021

Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs.

Han Zhong, Jiayi Huang, Lin Yang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards a Theoretical Framework of Out-of-Distribution Generalization.

Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis.

Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning.

Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos.

Meng-Jiun Chiou, Chun-Yu Liao, Liwei Wang, Roger Zimmermann, Jiashi Feng

Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021

Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations.

Ruiheng Chang, Dong Wang, Haiyan Guo, Jia Ding, Liwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons.

Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP.

Tianhao Wu, Yunchang Yang, Simon S. Du, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Near-Optimal Representation Learning for Linear Bandits and Linear RL.

Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training.

Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL.

Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

Region-aware Contrastive Learning for Semantic Segmentation.

Hanzhe Hu, Jinshi Cui, Liwei Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection.

Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, Liwei Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Augmented Partial Mutual Learning with Frame Masking for Video Captioning.

Ke Lin, Zhuoxin Gan, Liwei Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning.

Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen

Int. J. Comput. Vis., 2020

LID 2020: The Learning from Imperfect Data Challenge Results.

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

CoRR, 2020

RANDOM MASK: Towards Robust Convolutional Neural Networks.

Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang

CoRR, 2020

Transferred Discrepancy: Quantifying the Difference Between Representations.

Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong

CoRR, 2020

MC-BERT: Efficient Language Pre-Training via a Meta Controller.

Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu

CoRR, 2020

Multi-modal Feature Fusion with Feature Attention for VATEX Captioning Challenge 2020.

Ke Lin, Zhuoxin Gan, Liwei Wang

CoRR, 2020

Combinatorial Semi-Bandit in the Non-Stationary Environment.

Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng

CoRR, 2020

Improved Analysis of Clipping Algorithms for Non-convex Optimization.

Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot.

Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RepPoints v2: Verification Meets Regression for Object Detection.

Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Locally Differentially Private (Contextual) Bandits Learning.

Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improve Bone Age Assessment by Learning from Anatomical Local Regions.

Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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, Tie-Yan Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

(Locally) Differentially Private Combinatorial Semi-Bandits.

Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang

Proceedings of the 37th International Conference on Machine Learning, 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

Proceedings of the 8th International Conference on Learning Representations, 2020

Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication.

Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP.

Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Local Features for Improving the Generalization of Adversarial Training.

Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft

Proceedings of the 8th International Conference on Learning Representations, 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

Proceedings of the 8th International Conference on Learning Representations, 2020

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks.

Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft

Proceedings of the 8th International Conference on Learning Representations, 2020

Semi-Supervised Learning for Video Captioning.

Ke Lin, Zhuoxin Gan, Liwei Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 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

Proceedings of the Computer Vision - ECCV 2020, 2020

FocalMix: Semi-Supervised Learning for 3D Medical Image Detection.

Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Boosting Few-Shot Learning With Adaptive Margin Loss.

Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Memory Enhanced Global-Local Aggregation for Video Object Detection.

Yihong Chen, Yue Cao, Han Hu, Liwei Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Defective Convolutional Layers Learn Robust CNNs.

Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang

CoRR, 2019

On the Anomalous Generalization of GANs.

Jinchen Xuan, Yunchang Yang, Ze Yang, Di He, Liwei Wang

CoRR, 2019

Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples.

Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft

CoRR, 2019

Convergence of Adversarial Training in Overparametrized Networks.

Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee

CoRR, 2019

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

CoRR, 2019

Adversarially Robust Generalization Just Requires More Unlabeled Data.

Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang

CoRR, 2019

A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems.

Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang

CoRR, 2019

Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret.

Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang

CoRR, 2019

Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing.

Jun Gao, Xiao Li, Liwei Wang, Sanja Fidler, Stephen Lin

CoRR, 2019

Equipping Experts/Bandits with Long-term Memory.

Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds.

Rui Ray Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Convergence of Adversarial Training in Overparametrized Neural Networks.

Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason D. Lee

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Training of BERT by Progressively Stacking.

Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the 36th International Conference on Machine Learning, 2019

Gradient Descent Finds Global Minima of Deep Neural Networks.

Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai

Proceedings of the 36th International Conference on Machine Learning, 2019

Improving the Generalization of Adversarial Training with Domain Adaptation.

Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft

Proceedings of the 7th International Conference on Learning Representations, 2019

Representation Degeneration Problem in Training Natural Language Generation Models.

Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Relationships for Multi-View 3D Object Recognition.

Ze Yang, Liwei Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

RepPoints: Point Set Representation for Object Detection.

Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Learning With Global Class Representations.

Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hint-Based Training for Non-Autoregressive Machine Translation.

Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy.

Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation.

Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen

IEEE Trans. Cybern., 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 E. Hopcroft

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

FRAGE: Frequency-Agnostic Word Representation.

ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations.

Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou

Proceedings of the 43rd International Symposium on Mathematical Foundations of Computer Science, 2018

Dropout Training, Data-dependent Regularization, and Generalization Bounds.

Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang

Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Binary-Valued Gates for Robust LSTM Training.

Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning to Navigate for Fine-Grained Classification.

Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Region Features for Object Detection.

Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai

Proceedings of the Computer Vision - ECCV 2018, 2018

Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints.

Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng

Proceedings of the Conference On Learning Theory, 2018

2017

Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images.

Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Ji-Rong Wen

IEEE Trans. Geosci. Remote. Sens., 2017

Learning from Weak and Noisy Labels for Semantic Segmentation.

Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics.

Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Xinqi Li, Ji-Rong Wen

CoRR, 2017

The Expressive Power of Neural Networks: A View from the Width.

Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Decoding with Value Networks for Neural Machine Translation.

Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks.

Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Efficient Private ERM for Smooth Objectives.

Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible.

Kai Zheng, Wenlong Mou, Liwei Wang

Proceedings of the 34th International Conference on Machine Learning, 2017

Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes.

Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang

Proceedings of the 30th Conference on Learning Theory, 2017

A Refined Analysis of LSH for Well-dispersed Data Points.

Wenlong Mou, Liwei Wang

Proceedings of the Fourteenth Workshop on Analytic Algorithmics and Combinatorics, 2017

2016

Exploring demographic information in social media for product recommendation.

Wayne Xin Zhao, Sui Li, Yulan He, Liwei Wang, Ji-Rong Wen, Xiaoming Li

Knowl. Inf. Syst., 2016

Differentially Private Data Releasing for Smooth Queries.

Ziteng Wang, Chi Jin, Kai Fan, Jiaqi Zhang, Junliang Huang, Yiqiao Zhong, Liwei Wang

J. Mach. Learn. Res., 2016

Nonlinear Dimensionality Reduction by Local Orthogonality Preserving Alignment.

Li Tong, Yao Liu, Bo Wang, Liwei Wang, Hongbin Zha

J. Comput. Sci. Technol., 2016

Image classification by visual bag-of-words refinement and reduction.

Zhiwu Lu, Liwei Wang, Ji-Rong Wen

Neurocomputing, 2016

Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization.

Wenlong Mou, Zhi Wang, Liwei Wang

CoRR, 2016

HMSNN: Hippocampus inspired Memory Spiking Neural Network.

Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Dual Learning for Machine Translation.

Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On the Depth of Deep Neural Networks: A Theoretical View.

Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Semantic Sparse Recoding of Visual Content for Image Applications.

Zhiwu Lu, Peng Han, Liwei Wang, Ji-Rong Wen

IEEE Trans. Image Process., 2015

Noise-robust semi-supervised learning via fast sparse coding.

Zhiwu Lu, Liwei Wang

Pattern Recognit., 2015

Learning descriptive visual representation for image classification and annotation.

Zhiwu Lu, Liwei Wang

Pattern Recognit., 2015

Large Margin Deep Neural Networks: Theory and Algorithms.

Shizhao Sun, Wei Chen, Liwei Wang, Tie-Yan Liu

CoRR, 2015

Pairwise Constraint Propagation on Multi-View Data.

Zhiwu Lu, Liwei Wang

CoRR, 2015

On Low Rank Approximation of Binary Matrices.

Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou

CoRR, 2015

On the measurement complexity of differentially private query answering.

Liwei Wang, Jiapeng Zhang

Sci. China Inf. Sci., 2015

Social Image Parsing by Cross-Modal Data Refinement.

Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding.

Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning a generative classifier from label proportions.

Kai Fan, Hongyi Zhang, Songbai Yan, Liwei Wang, Wensheng Zhang, Jufu Feng

Neurocomputing, 2014

Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing.

Zhiwu Lu, Liwei Wang

CoRR, 2014

Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output.

Chi Jin, Ziteng Wang, Junliang Huang, Yiqiao Zhong, Liwei Wang

CoRR, 2014

Generalized second price auction with probabilistic broad match.

Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang

Proceedings of the ACM Conference on Economics and Computation, 2014

Direct Semantic Analysis for Social Image Classification.

Zhiwu Lu, Liwei Wang, Ji-Rong Wen

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Online learning for auction mechanism in bandit setting.

Di He, Wei Chen, Liwei Wang, Tie-Yan Liu

Decis. Support Syst., 2013

A Theoretical Analysis of NDCG Type Ranking Measures

Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen

CoRR, 2013

Efficient Algorithm for Privately Releasing Smooth Queries.

Ziteng Wang, Kai Fan, Jiaqi Zhang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search.

Di He, Wei Chen, Liwei Wang, Tie-Yan Liu

Proceedings of the IJCAI 2013, 2013

A Theoretical Analysis of NDCG Type Ranking Measures.

Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu

Proceedings of the COLT 2013, 2013

2012

Further results on the margin explanation of boosting: new algorithm and experiments.

Liwei Wang, Xiaocheng Deng, Zhaoxiang Jing, Jufu Feng

Sci. China Inf. Sci., 2012

Dimensionality Dependent PAC-Bayes Margin Bound.

Chi Jin, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Estimation Based on RBM from Label Proportions in Large Group Case.

Kai Fan, Hongyi Zhang, Yu Zang, Liwei Wang

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2011

A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin.

Liwei Wang, Masashi Sugiyama, Zhaoxiang Jing, Cheng Yang, Zhi-Hua Zhou, Jufu Feng

J. Mach. Learn. Res., 2011

Learning from error: A two-level combined model for image classification.

Mingyang Jiang, Chunxiao Li, Zirui Deng, Jufu Feng, Liwei Wang

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework.

Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang

Proceedings of the Computer Vision - ACCV 2010, 2010

Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach.

Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

A Novel Margin Based Algorithm for Feature Extraction.

Cheng Yang, Liwei Wang, Jufu Feng

New Gener. Comput., 2009

Theory and Algorithm for Learning with Dissimilarity Functions.

Liwei Wang, Masashi Sugiyama, Cheng Yang, Kohei Hatano, Jufu Feng

Neural Comput., 2009

A Density-ratio Framework for Statistical Data Processing.

Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang

IPSJ Trans. Comput. Vis. Appl., 2009

Learning IMED via shift-invariant transformation.

Bing Sun, Jufu Feng, Liwei Wang

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

On Feature Extraction via Kernels.

Cheng Yang, Liwei Wang, Jufu Feng

IEEE Trans. Syst. Man Cybern. Part B, 2008

On the Margin Explanation of Boosting Algorithms.

Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007

Further results on the subspace distance.

Xichen Sun, Liwei Wang, Jufu Feng

Pattern Recognit., 2007

On learning with dissimilarity functions.

Liwei Wang, Cheng Yang, Jufu Feng

Proceedings of the Machine Learning, 2007

Rademacher Margin Complexity.

Liwei Wang, Jufu Feng

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

On image matrix based feature extraction algorithms.

Liwei Wang, Xiao Wang, Jufu Feng

IEEE Trans. Syst. Man Cybern. Part B, 2006

Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition.

Liwei Wang, Xiao Wang, Jufu Feng

Pattern Recognit., 2006

Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'.

Liwei Wang, Jufu Feng

IEEE Trans. Pattern Anal. Mach. Intell., 2006

2005

The equivalence of two-dimensional PCA to line-based PCA.

Liwei Wang, Xiao Wang, Xuerong Zhang, Jufu Feng

Pattern Recognit. Lett., 2005

Intrapersonal subspace analysis with application to adaptive Bayesian face recognition.

Liwei Wang, Xiao Wang, Jufu Feng

Pattern Recognit., 2005

On the Euclidean Distance of Images.

Liwei Wang, Yan Zhang, Jufu Feng

IEEE Trans. Pattern Anal. Mach. Intell., 2005