Hu, Wei

87 publications

NeurIPS 2025 Benign Overfitting in Single-Head Attention Roey Magen, Shuning Shang, Zhiwei Xu, Spencer Frei, Wei Hu, Gal Vardi

AAAI 2025 Controllable Protein Sequence Generation with LLM Preference Optimization Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu

ICCV 2025 HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration Xiyu Zhang, Jiayi Ma, Jianwei Guo, Wei Hu, Zhaoshuai Qi, Fei Hui, Jiaqi Yang, Yanning Zhang

ICCV 2025 Large Scene Generation with Cube-Absorb Discrete Diffusion Qianjiang Hu, Wei Hu

ICLR 2025 Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model Zhiwei Xu, Zhiyu Ni, Yixin Wang, Wei Hu

CVPR 2025 Seeing Is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks Daizong Liu, Wei Hu

ICLR 2025 Swing-by Dynamics in Concept Learning and Compositional Generalization Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

NeurIPS 2025 Towards Building Model/Prompt-Transferable Attackers Against Large Vision-Language Models Xiaowen Cai, Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Keke Tang, Pan Zhou, Lichao Sun, Wei Hu

JMLR 2025 Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu

NeurIPS 2025 What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers Pulkit Gopalani, Wei Hu

NeurIPS 2024 A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning Yuanning Cui, Zequn Sun, Wei Hu

NeurIPS 2024 Abrupt Learning in Transformers: A Case Study on Matrix Completion Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu

ICLR 2024 Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu

NeurIPSW 2024 Benign Overfitting in Single-Head Attention Roey Magen, Shuning Shang, Zhiwei Xu, Spencer Frei, Wei Hu, Gal Vardi

TMLR 2024 Bias Amplification Enhances Minority Group Performance Gaotang Li, Jiarui Liu, Wei Hu

ICML 2024 DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation Chenfeng Miao, Qingying Zhu, Minchuan Chen, Wei Hu, Zijian Li, Shaojun Wang, Jing Xiao

AAAI 2024 DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang

ICLR 2024 Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon Shaolei Du, Jason D. Lee, Wei Hu

NeurIPSW 2024 Dynamics of Concept Learning and Compositional Generalization Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

ECCV 2024 Echoes of the past: Boosting Long-Tail Recognition via Reflective Learning Qihao Zhao, Yalun Dai, Shen Lin, Wei Hu, Fan Zhang, Jun Liu

AAAI 2024 Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack Daizong Liu, Wei Hu

CVPR 2024 Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing Bi'an Du, Xiang Gao, Wei Hu, Renjie Liao

NeurIPSW 2024 HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Yongyi Yang, Jiaming Yang, Wei Hu, Michal Derezinski

ICMLW 2024 How Do Transformers Fill in the Blanks? a Case Study on Matrix Completion Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu

ICMLW 2024 How Do Transformers Fill in the Blanks? a Case Study on Matrix Completion Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu

ICMLW 2024 How Do Transformers Fill in the Blanks? a Case Study on Matrix Completion Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu

ICLR 2024 How Do Transformers Learn In-Context Beyond Simple Functions? a Case Study on Learning with Representations Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai

AAAI 2024 Knowledge Graph Error Detection with Contrastive Confidence Adaption Xiangyu Liu, Yang Liu, Wei Hu

CVPR 2024 LTGC: Long-Tail Recognition via Leveraging LLMs-Driven Generated Content Qihao Zhao, Yalun Dai, Hao Li, Wei Hu, Fan Zhang, Jun Liu

AISTATS 2024 Near-Interpolators: Rapid Norm Growth and the Trade-Off Between Interpolation and Generalization Yutong Wang, Rishi Sonthalia, Wei Hu

ECCV 2024 RangeLDM: Fast Realistic LiDAR Point Cloud Generation Qianjiang Hu, Zhimin Zhang, Wei Hu

NeurIPSW 2024 Structured Identity Mapping Learning as a Model for Compositional Generalization in Generative Models Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

AAAI 2024 Understanding Surprising Generalization Phenomena in Deep Learning Wei Hu

ICCV 2023 3DHacker: Spectrum-Based Decision Boundary Generation for Hard-Label 3D Point Cloud Attack Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu

ICML 2023 Are Neurons Actually Collapsed? on the Fine-Grained Structure in Neural Representations Yongyi Yang, Jacob Steinhardt, Wei Hu

NeurIPSW 2023 Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu

CVPR 2023 Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection Qianjiang Hu, Daizong Liu, Wei Hu

IJCAI 2023 Enabling Abductive Learning to Exploit Knowledge Graph Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou

NeurIPS 2023 Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu

NeurIPSW 2023 How Do Transformers Learn In-Context Beyond Simple Functions? a Case Study on Learning with Representations Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai

ICLR 2023 Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data Spencer Frei, Gal Vardi, Peter Bartlett, Nathan Srebro, Wei Hu

NeurIPSW 2023 Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Matrix Factorizations Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu

AAAI 2023 Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu

ICCV 2023 MDCS: More Diverse Experts with Consistency Self-Distillation for Long-Tailed Recognition Qihao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu

ICLR 2023 MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer Qihao Zhao, Yangyu Huang, Wei Hu, Fan Zhang, Jun Liu

NeurIPSW 2023 Near-Interpolators: Fast Norm Growth and Tempered Near-Overfitting Yutong Wang, Rishi Sonthalia, Wei Hu

ICML 2023 What Makes Entities Similar? a Similarity Flooding Perspective for Multi-Sourced Knowledge Graph Embeddings Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu

NeurIPSW 2022 Are Neurons Actually Collapsed? on the Fine-Grained Structure in Neural Representations Yongyi Yang, Jacob Steinhardt, Wei Hu

AAAI 2022 Ensemble Semi-Supervised Entity Alignment via Cycle-Teaching Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

ECCV 2022 Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks Qianjiang Hu, Daizong Liu, Wei Hu

ICML 2022 More than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize Alexander Wei, Wei Hu, Jacob Steinhardt

NeurIPS 2022 Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu

ECCV 2022 Neural Capture of Animatable 3D Human from Monocular Video Gusi Te, Xiu Li, Xiao Li, Jinglu Wang, Wei Hu, Yan Lu

TMLR 2022 Representation Alignment in Neural Networks Ehsan Imani, Wei Hu, Martha White

ICML 2022 Understanding and Improving Knowledge Graph Embedding for Entity Alignment Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen

ICML 2021 A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Saunshi, Arushi Gupta, Wei Hu

CVPR 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi

CVPR 2021 Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo, Wei Hu

ICLR 2021 Few-Shot Learning via Learning the Representation, Provably Simon Shaolei Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei

ICLR 2021 Impact of Representation Learning in Linear Bandits Jiaqi Yang, Wei Hu, Jason D. Lee, Simon Shaolei Du

ICML 2021 Near-Optimal Linear Regression Under Distribution Shift Qi Lei, Wei Hu, Jason Lee

ICCV 2021 Score-Based Point Cloud Denoising Shitong Luo, Wei Hu

ICCVW 2021 Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu

UAI 2021 When Is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems? Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu

ECCV 2020 Edge-Aware Graph Representation Learning and Reasoning for Face Parsing Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei

AAAI 2020 Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu

ICLR 2020 Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks Wei Hu, Lechao Xiao, Jeffrey Pennington

ICLR 2020 Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee Wei Hu, Zhiyuan Li, Dingli Yu

NeurIPS 2020 The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks Wei Hu, Lechao Xiao, Ben Adlam, Jeffrey Pennington

ICLR 2019 A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks Sanjeev Arora, Nadav Cohen, Noah Golowich, Wei Hu

NeurIPS 2019 Explaining Landscape Connectivity of Low-Cost Solutions for Multilayer Nets Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora

ICML 2019 Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora, Simon Du, Wei Hu, Zhiyuan Li, Ruosong Wang

NeurIPS 2019 Implicit Regularization in Deep Matrix Factorization Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo

ICML 2019 Learning to Exploit Long-Term Relational Dependencies in Knowledge Graphs Lingbing Guo, Zequn Sun, Wei Hu

AISTATS 2019 Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems Without Strong Convexity Simon S. Du, Wei Hu

IJCAI 2019 Multi-View Knowledge Graph Embedding for Entity Alignment Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu

NeurIPS 2019 On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora, Simon S Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang

ICML 2019 Width Provably Matters in Optimization for Deep Linear Neural Networks Simon Du, Wei Hu

NeurIPS 2018 Algorithmic Regularization in Learning Deep Homogeneous Models: Layers Are Automatically Balanced Simon S Du, Wei Hu, Jason Lee

COLT 2018 An Analysis of the T-SNE Algorithm for Data Visualization Sanjeev Arora, Wei Hu, Pravesh K. Kothari

IJCAI 2018 Bootstrapping Entity Alignment with Knowledge Graph Embedding Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu

NeurIPS 2018 Online Improper Learning with an Approximation Oracle Elad Hazan, Wei Hu, Yuanzhi Li, Zhiyuan Li

NeurIPS 2017 Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls Zeyuan Allen-Zhu, Elad Hazan, Wei Hu, Yuanzhi Li

NeurIPS 2016 Combinatorial Multi-Armed Bandit with General Reward Functions Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu

AAAI 2015 An EBMC-Based Approach to Selecting Types for Entity Filtering Jiwei Ding, Wentao Ding, Wei Hu, Yuzhong Qu

CVPR 2007 Scene Segmentation and Categorization Using NCuts Yanjun Zhao, Tao Wang, Peng Wang, Wei Hu, Yangzhou Du, Yimin Zhang, Guangyou Xu

CVPRW 2006 Semantic Event Detection Using Conditional Random Fields Tao Wang, Jianguo Li, Qian Diao, Wei Hu, Yimin Zhang, Carole Dulong