Huang, Wei

105 publications

AAAI 2025 Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Wei Huang, Binghui Wang
ICML 2025 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou
ICLRW 2025 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou
JMLR 2025 Causal Effect of Functional Treatment Ruoxu Tan, Wei Huang, Zheng Zhang, Guosheng Yin
ICLR 2025 Data Pruning by Information Maximization Haoru Tan, Sitong Wu, Wei Huang, Shizhen Zhao, Xiaojuan Qi
CVPR 2025 Decision SpikeFormer: Spike-Driven Transformer for Decision Making Wei Huang, Qinying Gu, Nanyang Ye
CPAL 2025 Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks Wei Huang, Wuyang Chen, Zhiqiang Xu, Zhangyang Wang, Taiji Suzuki
ICLR 2025 From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics Qinshuo Liu, Weiqin Zhao, Wei Huang, Yanwen Fang, Lequan Yu, Guodong Li
ICML 2025 GRU: Mitigating the Trade-Off Between Unlearning and Retention for LLMs Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han
ICCV 2025 GaRe: Relightable 3D Gaussian Splatting for Outdoor Scenes from Unconstrained Photo Collections Haiyang Bai, Jiaqi Zhu, Songru Jiang, Wei Huang, Tao Lu, Yuanqi Li, Jie Guo, Runze Fu, Yanwen Guo, Lijun Chen
AAAI 2025 GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation Wei Huang, Lei Zhang, Zizhou Wang, Yan Wang
NeurIPS 2025 Generalization Bound of Gradient Flow Through Training Trajectory and Data-Dependent Kernel Yilan Chen, Zhichao Wang, Wei Huang, Andi Han, Taiji Suzuki, Arya Mazumdar
NeurIPS 2025 How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime? Wei Huang, Andi Han, Yujin Song, Yilan Chen, Denny Wu, Difan Zou, Taiji Suzuki
NeurIPS 2025 Less Is More: An Attention-Free Sequence Prediction Modeling for Offline Embodied Learning Wei Huang, Jianshu Zhang, Leiyu Wang, Heyue Li, Luoyi Fan, Yichen Zhu, Nanyang Ye, Qinying Gu
NeurIPS 2025 MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO Yicheng Xiao, Lin Song, Yukang Chen, Yingmin Luo, Yuxin Chen, Yukang Gan, Wei Huang, Xiu Li, Xiaojuan Qi, Ying Shan
ICLR 2025 Mixture Compressor for Mixture-of-Experts LLMs Gains More Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, Xiaojuan Qi
ICML 2025 Multinoulli Extension: A Lossless yet Effective Probabilistic Framework for Subset Selection over Partition Constraints Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao
CVPR 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi
MLJ 2025 On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective Li Wang, Wei Huang
ICLR 2025 On the Feature Learning in Diffusion Models Andi Han, Wei Huang, Yuan Cao, Difan Zou
ICLR 2025 On the Optimization and Generalization of Two-Layer Transformers with Sign Gradient Descent Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen
ICML 2025 On the Role of Label Noise in the Feature Learning Process Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
ICML 2025 Projection Pursuit Density Ratio Estimation Meilin Wang, Wei Huang, Mingming Gong, Zheng Zhang
ICML 2025 Provable In-Context Vector Arithmetic via Retrieving Task Concepts Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki
AISTATS 2025 Quantifying the Optimization and Generalization Advantages of Graph Neural Networks over Multilayer Perceptrons Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki
NeurIPS 2025 Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics Zhenbin Wang, Lei Zhang, Wei Huang, Zhao Zhang, Zizhou Wang
MLJ 2025 Revealing Vulnerable Regions Through Diverse Adversarial Examples Yunce Zhao, Wei Huang, Wei Liu, Xin Yao
AAAI 2025 Risk Controlled Image Retrieval Kaiwen Cai, Chris Xiaoxuan Lu, Xingyu Zhao, Wei Huang, Xiaowei Huang
NeurIPS 2025 Scaling Diffusion Transformers Efficiently via $\mu$P Chenyu Zheng, Xinyu Zhang, Rongzhen Wang, Wei Huang, Zhi Tian, Weilin Huang, Jun Zhu, Chongxuan Li
NeurIPS 2025 Scaling RL to Long Videos Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han
ICML 2025 SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, Xiaojuan Qi
AAAI 2025 TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation Yanyong Huang, Minghui Lu, Wei Huang, Xiuwen Yi, Tianrui Li
ICML 2025 Test-Time Graph Neural Dataset Search with Generative Projection Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan
NeurIPS 2025 Towards Unsupervised Training of Matching-Based Graph Edit Distance Solver via Preference-Aware GAN Wei Huang, Hanchen Wang, Dong Wen, Shaozhen Ma, Wenjie Zhang, Xuemin Lin
NeurIPS 2025 Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie
ICML 2025 Understanding the Forgetting of (Replay-Based) Continual Learning via Feature Learning: Angle Matters Hongyi Wan, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie
CVPR 2025 VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection Songhao Han, Wei Huang, Hairong Shi, Le Zhuo, Xiu Su, Shifeng Zhang, Xu Zhou, Xiaojuan Qi, Yue Liao, Si Liu
ICLR 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error Erdun Gao, Howard Bondell, Wei Huang, Mingming Gong
ICML 2024 BiLLM: Pushing the Limit of Post-Training Quantization for LLMs Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
CVPR 2024 DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction Junwen Xiong, Peng Zhang, Tao You, Chuanyue Li, Wei Huang, Yufei Zha
ICML 2024 Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F Caiafa, Qibin Zhao
AAAI 2024 Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang
IJCAI 2024 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan
NeurIPS 2024 Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method Bikang Pan, Wei Huang, Ye Shi
CVPR 2024 Global and Local Prompts Cooperation via Optimal Transport for Federated Learning Hongxia Li, Wei Huang, Jingya Wang, Ye Shi
ICLR 2024 Graph Lottery Ticket Automated Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang
NeurIPS 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders Yuanyuan Wang, Biwei Huang, Wei Huang, Xi Geng, Mingming Gong
JMLR 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao
CVPR 2024 Learning Large-Factor EM Image Super-Resolution with Generative Priors Jiateng Shou, Zeyu Xiao, Shiyu Deng, Wei Huang, Peiyao Shi, Ruobing Zhang, Zhiwei Xiong, Feng Wu
NeurIPS 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu, Chongxuan Li
NeurIPS 2024 On the Comparison Between Multi-Modal and Single-Modal Contrastive Learning Wei Huang, Andi Han, Yongqiang Chen, Yuan Cao, Zhiqiang Xu, Taiji Suzuki
NeurIPS 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression Yilan Chen, Wei Huang, Tsui-Wei Weng
ICML 2024 Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong
NeurIPS 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong
ECCV 2024 Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization Wei Huang, Yilei Shi, Zhitong Xiong, Xiao Xiang Zhu
NeurIPS 2024 SLTrain: A Sparse Plus Low Rank Approach for Parameter and Memory Efficient Pretraining Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
AAAI 2024 Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search Meiyu Liang, Junping Du, Zhengyang Liang, Yongwang Xing, Wei Huang, Zhe Xue
ICMLW 2024 Training-Free Design of Augmentations with Data-Centric Principles Jieke Wu, Wei Huang, Mingyuan Bai, Xiaoling Hu, Yi Duan, Wuyang Chen
ICLR 2024 Understanding Convergence and Generalization in Federated Learning Through Feature Learning Theory Wei Huang, Ye Shi, Zhongyi Cai, Taiji Suzuki
NeurIPS 2024 Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie
CVPR 2023 A Soma Segmentation Benchmark in Full Adult Fly Brain Xiaoyu Liu, Bo Hu, Mingxing Li, Wei Huang, Yueyi Zhang, Zhiwei Xiong
TMLR 2023 Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng
NeurIPS 2023 Analyzing Generalization of Neural Networks Through Loss Path Kernels Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam Nguyen, Lily Weng
CVPR 2023 CASP-Net: Rethinking Video Saliency Prediction from an Audio-Visual Consistency Perceptual Perspective Junwen Xiong, Ganglai Wang, Peng Zhang, Wei Huang, Yufei Zha, Guangtao Zhai
NeurIPS 2023 Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang
NeurIPS 2023 Generator Identification for Linear SDEs with Additive and Multiplicative Noise Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong
CVPR 2023 Generic-to-Specific Distillation of Masked Autoencoders Wei Huang, Zhiliang Peng, Li Dong, Furu Wei, Jianbin Jiao, Qixiang Ye
NeurIPSW 2023 Graph Neural Networks Benefit from Structural Information Provably: A Feature Learning Perspective Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki
ICLR 2023 HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer Xiaosong Zhang, Yunjie Tian, Lingxi Xie, Wei Huang, Qi Dai, Qixiang Ye, Qi Tian
ICCV 2023 Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation Xiaoyu Liu, Wei Huang, Zhiwei Xiong, Shenglong Zhou, Yueyi Zhang, Xuejin Chen, Zheng-Jun Zha, Feng Wu
CVPR 2023 Learning Steerable Function for Efficient Image Resampling Jiacheng Li, Chang Chen, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan, Zhiwei Xiong
ICCVW 2023 PCTrans: Position-Guided Transformer with Query Contrast for Biological Instance Segmentation Qi Chen, Wei Huang, Xiaoyu Liu, Jiacheng Li, Zhiwei Xiong
IJCAI 2023 Privacy-Preserving End-to-End Spoken Language Understanding Yinggui Wang, Wei Huang, Le Yang
ICCV 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang
IJCAI 2023 Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong
TMLR 2023 Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
CVPR 2023 Style Projected Clustering for Domain Generalized Semantic Segmentation Wei Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong
NeurIPS 2023 Understanding and Improving Feature Learning for Out-of-Distribution Generalization Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
AutoML 2023 “No Free Lunch” in Neural Architectures? a Joint Analysis of Expressivity, Convergence, and Generalization Wuyang Chen, Wei Huang, Zhangyang Wang
ICLR 2022 Auto-Scaling Vision Transformers Without Training Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
IJCAI 2022 Biological Instance Segmentation with a Superpixel-Guided Graph Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong
NeurIPS 2022 Deep Active Learning by Leveraging Training Dynamics Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew J Margenot, Jingrui He
NeurIPS 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang
MLJ 2022 Embedding and Extraction of Knowledge in Tree Ensemble Classifiers Wei Huang, Xingyu Zhao, Xiaowei Huang
CVPR 2022 Enhancing Adversarial Training with Second-Order Statistics of Weights Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang
NeurIPS 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations Miao Zhang, Wei Huang, Bin Yang
AAAI 2022 Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong
NeurIPS 2022 MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell
ICLR 2022 Towards Deepening Graph Neural Networks: A GNTK-Based Optimization Perspective Wei Huang, Yayong Li, Weitao Du, Richard Xu, Jie Yin, Ling Chen, Miao Zhang
COLT 2022 Towards Optimal Algorithms for Multi-Player Bandits Without Collision Sensing Information Wei Huang, Richard Combes, Cindy Trinh
NeurIPS 2022 Weighted Mutual Learning with Diversity-Driven Model Compression Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang
UAI 2021 BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations Xingyu Zhao, Wei Huang, Xiaowei Huang, Valentin Robu, David Flynn
ICCV 2021 Conformer: Local Features Coupling Global Representations for Visual Recognition Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, Yaowei Wang, Jianbin Jiao, Qixiang Ye
CVPR 2021 DeFLOCNet: Deep Image Editing via Flexible Low-Level Controls Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao, Bin Jiang, Wei Liu
IJCAI 2021 Item Response Ranking for Cognitive Diagnosis Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang
NeurIPS 2021 On the Equivalence Between Neural Network and Support Vector Machine Yilan Chen, Wei Huang, Lam Nguyen, Tsui-Wei Weng
IJCAI 2021 On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization Wei Huang, Weitao Du, Richard Yi Da Xu
CVPR 2021 PD-GAN: Probabilistic Diverse GAN for Image Inpainting Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao
JMLR 2021 Transferability of Spectral Graph Convolutional Neural Networks Ron Levie, Wei Huang, Lorenzo Bucci, Michael Bronstein, Gitta Kutyniok
ECCVW 2020 Learning to Restore ssTEM Images from Deformation and Corruption Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Dong Liu, Feng Wu
ECCV 2020 Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang
AAAI 2019 A Framework to Coordinate Segmentation and Recognition Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang
CVPRW 2017 Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion Concatenation Yamin Han, Peng Zhang, Tao Zhuo, Wei Huang, Yanning Zhang
IJCAI 2009 Structured Plans and Observation Reduction for Plans with Contexts Wei Huang, Zhonghua Wen, Yunfei Jiang, Hong Peng
IJCAI 2007 Observation Reduction for Strong Plans Wei Huang, Zhonghua Wen, Yunfei Jiang, Lihua Wu