Chen, Wei

229 publications

AAAI 2025 A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation Shiyu Tian, Shuyue Xing, Xingrui Li, Yangyang Luo, Caixia Yuan, Wei Chen, Huixing Jiang, Xiaojie Wang

ICCV 2025 A3GS: Arbitrary Artistic Style into Arbitrary 3D Gaussian Splatting Zhiyuan Fang, Rengan Xie, Xuancheng Jin, Qi Ye, Wei Chen, Wenting Zheng, Rui Wang, Yuchi Huo

AAAI 2025 Achieving Speed-Accuracy Balance in Vision-Based 3D Occupancy Prediction via Geometric-Semantic Disentanglement Yulin He, Wei Chen, Siqi Wang, Tianci Xun, Yusong Tan

ICLR 2025 Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models Jianqun Zhou, Yuanlei Zheng, Wei Chen, Qianqian Zheng, Shang Zeyuan, Wei Zhang, Rui Meng, Xiaoyu Shen

ICLR 2025 CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng

IJCAI 2025 Causal-Aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting Wei Chen, Jiahao Zhang, Haipeng Zhu, Boyan Xu, Zhifeng Hao, Keli Zhang, Junjian Ye, Ruichu Cai

CVPR 2025 CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation Wei Chen, Lin Li, Yongqi Yang, Bin Wen, Fan Yang, Tingting Gao, Yu Wu, Long Chen

CVPR 2025 Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models Zichen Miao, Wei Chen, Qiang Qiu

AAAI 2025 CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework Wei Chen, Yuting Wu, Shuhan Wu, Zhiyu Zhang, Mengqi Liao, Youfang Lin, Huaiyu Wan

ICLRW 2025 Color: A Compositional Linear Operation Based Representation of Protein Sequences for Identification of Monomer Contributions to Properties Akash Pandey, Wei Chen, Sinan Keten

AAAI 2025 Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi, Yanwei Yu, Junyu Dong

IJCAI 2025 Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing Wei Chen, Yafei Li, Baolong Mei, Guanglei Zhu, Jiaqi Wu, Mingliang Xu

ICCV 2025 Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction Zhirui Gao, Renjiao Yi, Yaqiao Dai, Xuening Zhu, Wei Chen, Chenyang Zhu, Kai Xu

ICCV 2025 DH-FaceVid-1k: A Large-Scale High-Quality Dataset for Face Video Generation Donglin Di, He Feng, Wenzhang Sun, Yongjia Ma, Hao Li, Wei Chen, Lei Fan, Tonghua Su, Xun Yang

AAAI 2025 Data with High and Consistent Preference Difference Are Better for Reward Model Qi Lin, Hengtong Lu, Caixia Yuan, Xiaojie Wang, Huixing Jiang, Wei Chen

AAAI 2025 Debiased Active Learning with Variational Gradient Rectifier Weiguo Chen, Changjian Wang, Shijun Li, Kele Xu, Yanru Bai, Wei Chen, Shanshan Li

NeurIPS 2025 Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models Wei Chen, Xin Yan, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Long Chen

ICML 2025 Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng

AAAI 2025 DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models Wei Chen, Jianwei Niu, Xuefeng Liu, Zhendong Wang, Shaojie Tang, Guogang Zhu

NeurIPS 2025 EVODiff: Entropy-Aware Variance Optimized Diffusion Inference Shigui Li, Wei Chen, Delu Zeng

ICLR 2025 Evaluating Large Language Models Through Role-Guide and Self-Reflection: A Comparative Study Lili Zhao, Yang Wang, Qi Liu, Mengyun Wang, Wei Chen, Zhichao Sheng, Shijin Wang

ICLR 2025 Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting Wei Chen, Yuxuan Liang

IJCAI 2025 FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang

ICCV 2025 FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models Jiaqi Wu, Simin Chen, Jing Tang, Yuzhe Yang, Yiming Chen, Lixu Wang, Song Lin, Zehua Wang, Wei Chen, Zijian Tian

AAAI 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning Jialuo He, Wei Chen, Xiaojin Zhang

AAAI 2025 GRPose: Learning Graph Relations for Human Image Generation with Pose Priors Xiangchen Yin, Donglin Di, Lei Fan, Hao Li, Wei Chen, Gouxiao Fei, Yang Song, Xiao Sun, Xun Yang

AAAI 2025 Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing Yafei Li, Wei Chen, Jinxing Yan, Huiling Li, Lei Gao, Mingliang Xu

ICCV 2025 Growing a Twig to Accelerate Large Vision-Language Models Zhenwei Shao, Mingyang Wang, Zhou Yu, Wenwen Pan, Yan Yang, Tao Wei, Hongyuan Zhang, Ning Mao, Wei Chen, Jun Yu

ICLR 2025 HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts Mengqi Liao, Wei Chen, Junfeng Shen, Shengnan Guo, Huaiyu Wan

ICCV 2025 HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery Yu Wang, Bo Dang, Wanchun Li, Wei Chen, Yansheng Li

NeurIPS 2025 In-Context Compositional Learning Vis Sparse Coding Transformer Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu

IJCAI 2025 Instance Relation Learning Network with Label Knowledge Propagation for Few-Shot Multi-Label Intent Detection Shiman Zhao, Shangyuan Li, Wei Chen, Tengjiao Wang, Jiahui Yao, Jiabin Zheng, Kam-Fai Wong

ICLR 2025 Large Convolutional Model Tuning via Filter Subspace Wei Chen, Zichen Miao, Qiang Qiu

NeurIPS 2025 Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting Wei Chen, Yuxuan Liang

ICML 2025 Learnware Specification via Dual Alignment Wei Chen, Jun-Xiang Mao, Xiaozheng Wang, Min-Ling Zhang

AAAI 2025 Learnware Specification via Label-Aware Neural Embedding Wei Chen, Junxiang Mao, Min-Ling Zhang

ICCV 2025 M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking Yan Li, Yang Xu, Changhao Chen, Zhongchen Shi, Wei Chen, Liang Xie, Hongbo Chen, Erwei Yin

AAAI 2025 Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning Wei Chen, Yi Zhou

NeurIPS 2025 Mechanism Design for LLM Fine-Tuning with Multiple Reward Models Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng

IJCAI 2025 Multi-View Clustering via Multi-Granularity Ensemble Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang

ICCV 2025 NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations Junjie Nan, Jianing Li, Wei Chen, Mingkun Zhang, Xueqi Cheng

NeurIPS 2025 OCRBench V2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning Ling Fu, Zhebin Kuang, Jiajun Song, Mingxin Huang, Biao Yang, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai

ICML 2025 Offline Learning for Combinatorial Multi-Armed Bandits Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

ICCV 2025 QR-LoRA: Efficient and Disentangled Fine-Tuning via QR Decomposition for Customized Generation Jiahui Yang, Yongjia Ma, Donglin Di, Jianxun Cui, Hao Li, Wei Chen, Yan Xie, Xun Yang, Wangmeng Zuo

ICCV 2025 R1-Onevision: Advancing Generalized Multimodal Reasoning Through Cross-Modal Formalization Yi Yang, Xiaoxuan He, Hongkun Pan, Xiyan Jiang, Yan Deng, Xingtao Yang, Haoyu Lu, Dacheng Yin, Fengyun Rao, Minfeng Zhu, Bo Zhang, Wei Chen

NeurIPS 2025 SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification Zenan Ying, Zhi Zheng, Huijun Hou, Tong Xu, Qi Liu, Jinke Wang, Wei Chen

ECML-PKDD 2025 ST-LoRA: Low-Rank Adaptation for Spatio-Temporal Forecasting Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang

AAAI 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks Hao Zhang, Wei Chen, Xingyu Zhao, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu

ICCV 2025 Self-Supervised Learning of Hybrid Part-Aware 3D Representations of 2D Gaussians and Superquadrics Zhirui Gao, Renjiao Yi, Yuhang Huang, Wei Chen, Chenyang Zhu, Kai Xu

AAAI 2025 Smoothness Really Matters: A Simple yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang

ICCV 2025 Sparse Fine-Tuning of Transformers for Generative Tasks Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu

AAAI 2025 Spatial-Temporal Knowledge Distillation for Takeaway Recommendation Shuyuan Zhao, Wei Chen, Boyan Shi, Liyong Zhou, Shuohao Lin, Huaiyu Wan

ICLR 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu

AAAI 2025 Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei

ICCV 2025 Task-Decoupled Bezier Surface Constraint for Uneven Low-Light Image Enhancement Xingxiang Zhou, Xiangdong Su, Haoran Zhang, Wei Chen, Guanglai Gao

IJCAI 2025 Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration Kepeng Xu, Li Xu, Gang He, Wei Chen, Xianyun Wu, Wenxin Yu

AAAI 2025 UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang

NeurIPS 2024 ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen

IJCAI 2024 Active Deep Multi-View Clustering Helin Zhao, Wei Chen, Peng Zhou

ECCV 2024 An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding Wei Chen, Long Chen, Yu Wu

NeurIPS 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

IJCAI 2024 Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation Weijun Chen, Shun Li, Xipu Yu, Heyuan Wang, Wei Chen, Tengjiao Wang

ECCV 2024 BAFFLE: A Baseline of Backpropagation-Free Federated Learning Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin

NeurIPS 2024 Can Graph Learning Improve Planning in LLM-Based Agents? Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li

ICLR 2024 Cascading Reinforcement Learning Yihan Du, R. Srikant, Wei Chen

MLOSS 2024 Causal-Learn: Causal Discovery in Python Yujia Zheng, Biwei Huang, Wei Chen, Joseph Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang

NeurIPS 2024 CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng

ICLR 2024 Combinatorial Bandits for Maximum Value Reward Function Under Value-Index Feedback Yiliu Wang, Wei Chen, Milan Vojnovic

ACML 2024 Combinatorial Causal Bandits Without Graph Skeleton Shi Feng, Nuoya Xiong, Wei Chen

ICML 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen

AAAI 2024 Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo

ICLRW 2024 Estimating Multi-Cause Average Treatment Effects via Partial Cause Intervention Hong Gao, Quanrun Chen, Yue Wang, Wei Chen, Huazhen Lin

ICML 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

CVPR 2024 Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing Yunlong Zhao, Xiaoheng Deng, Yijing Liu, Xinjun Pei, Jiazhi Xia, Wei Chen

NeurIPS 2024 Generative Retrieval Meets Multi-Graded Relevance Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng

NeurIPS 2024 Graph Diffusion Policy Optimization Yijing Liu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Wei Chen

NeurIPSW 2024 Graph Representation of Local Environments for Learning High-Entropy Alloy Properties Hengrui Zhang, Ruishu Huang, Jie Chen, James Rondinelli, Wei Chen

AAAI 2024 Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang

IJCAI 2024 Individual Causal Structure Learning from Population Data Wei Chen, Xiaokai Huang, Zijian Li, Ruichu Cai, Zhiyi Huang, Zhifeng Hao

ECCV 2024 Language-Image Pre-Training with Long Captions Kecheng Zheng, Yifei Zhang, Wei Wu, Fan Lu, Shuailei Ma, Xin Jin, Wei Chen, Yujun Shen

NeurIPS 2024 LoTLIP: Improving Language-Image Pre-Training for Long Text Understanding Wei Wu, Kecheng Zheng, Shuailei Ma, Fan Lu, Yuxin Guo, Yifei Zhang, Wei Chen, Qingpei Guo, Yujun Shen, Zheng-Jun Zha

NeurIPSW 2024 Mechanism Design for LLM Fine-Tuning with Multiple Reward Models Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng

AAAI 2024 Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong

ECCV 2024 Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs Shi Liu, Kecheng Zheng, Wei Chen

AAAI 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng

ICML 2024 Position: What Can Large Language Models Tell Us About Time Series Analysis Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen

NeurIPS 2024 Query-Efficient Correlation Clustering with Noisy Oracle Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen

AAAI 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao

NeurIPS 2024 Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang

IJCAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang

NeurIPSW 2023 Automated Diffraction Pattern Analysis for Identifying Crystal Systems Using Multiview Opinion Fusion Machine Learning Jie Chen, Hengrui Zhang, Carolin B Wahl, Wei Liu, Chad Mirkin, Vinayak Dravid, Daniel W Apley, Wei Chen

ICML 2023 Bandit Multi-Linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang

ICML 2023 Causal Discovery with Latent Confounders Based on Higher-Order Cumulants Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang

NeurIPS 2023 Closing the Gap Between the Upper Bound and Lower Bound of Adam's Iteration Complexity Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen

ICLR 2023 Collaborative Pure Exploration in Kernel Bandit Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang

AAAI 2023 Combinatorial Causal Bandits Shi Feng, Wei Chen

ICLR 2023 Combinatorial Pure Exploration of Causal Bandits Nuoya Xiong, Wei Chen

ICML 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen

COLT 2023 Convergence of AdaGrad for Non-Convex Objectives: Simple Proofs and Relaxed Assumptions Bohan Wang, Huishuai Zhang, Zhiming Ma, Wei Chen

AAAI 2023 Fourier-Net: Fast Image Registration with Band-Limited Deformation Xi Jia, Joseph Bartlett, Wei Chen, Siyang Song, Tianyang Zhang, Xinxing Cheng, Wenqi Lu, Zhaowen Qiu, Jinming Duan

NeurIPS 2023 Inner Product-Based Neural Network Similarity Wei Chen, Zichen Miao, Qiang Qiu

IJCAI 2023 Learning Few-Shot Sample-Set Operations for Noisy Multi-Label Aspect Category Detection Shiman Zhao, Wei Chen, Tengjiao Wang

NeurIPSW 2023 Mitigating Bias in Scientific Data: A Materials Science Case Study Hengrui Zhang, Wei Chen, James Rondinelli, Wei Chen

NeurIPS 2023 Multi-Fidelity Multi-Armed Bandits Revisited Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui

ICCV 2023 Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen

NeurIPS 2023 Scalable Fair Influence Maximization Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen

AISTATS 2022 Online Competitive Influence Maximization Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen

JAIR 2022 Adaptive Greedy Versus Non-Adaptive Greedy for Influence Maximization Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao

IJCAI 2022 Adaptive Long-Short Pattern Transformer for Stock Investment Selection Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Shijie Guan, Wei Chen

NeurIPS 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

ICML 2022 Branching Reinforcement Learning Yihan Du, Wei Chen

ICLR 2022 Continual Learning with Filter Atom Swapping Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu

ECCV 2022 D2-TPred: Discontinuous Dependency for Trajectory Prediction Under Traffic Lights Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha

NeurIPS 2022 Does Momentum Change the Implicit Regularization on Separable Data? Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

WACV 2022 FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-Based Duplication Iljoo Baek, Wei Chen, Zhihao Zhu, Soheil Samii, Raj Rajkumar

NeurIPS 2022 Feature-Proxy Transformer for Few-Shot Segmentation Jian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen

ICLR 2022 Gradient Information Matters in Policy Optimization by Back-Propagating Through Model Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

IJCAI 2022 Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation Heyuan Wang, Tengjiao Wang, Shun Li, Shijie Guan, Jiayi Zheng, Wei Chen

NeurIPS 2022 Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks Yijing Liu, Qinxian Liu, Jian-Wei Zhang, Haozhe Feng, Zhongwei Wang, Zihan Zhou, Wei Chen

IJCAI 2022 Mutual Distillation Learning Network for Trajectory-User Linking Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong

AAAI 2022 Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

ECCVW 2022 Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian

ICLR 2022 PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

ICML 2022 SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, Tie-Yan Liu

MLJ 2022 Stabilize Deep ResNet with a Sharp Scaling Factor Τ Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu

CVPR 2022 TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization Adjoint with Moving Speed Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng

MLJ 2022 The Pure Exploration Problem with General Reward Functions Depending on Full Distributions Siwei Wang, Wei Chen

NeurIPS 2022 Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu

ECCVW 2022 Trans6D: Transformer-Based 6d Object Pose Estimation and Refinement Zhongqun Zhang, Wei Chen, Linfang Zheng, Ales Leonardis, Hyung Jin Chang

CVPR 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu

NeurIPS 2021 Combinatorial Pure Exploration with Bottleneck Reward Function Yihan Du, Yuko Kuroki, Wei Chen

AAAI 2021 Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback Yihan Du, Yuko Kuroki, Wei Chen

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

ICLR 2021 Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu

CVPR 2021 FS-Net: Fast Shape-Based Network for Category-Level 6d Object Pose Estimation with Decoupled Rotation Mechanism Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis

CVPRW 2021 HSiPu2 - A New Human Physical Fitness Action Dataset for Recognition and 3D Reconstruction Evaluation Chuanlei Zhang, Lixin Liu, Minda Yao, Wei Chen, Dufeng Chen, Yuliang Wu

AAAI 2021 How Does Data Augmentation Affect Privacy in Machine Learning? Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

AAAI 2021 Inferring Emotion from Large-Scale Internet Voice Data: A Semi-Supervised Curriculum Augmentation Based Deep Learning Approach Suping Zhou, Jia Jia, Zhiyong Wu, Zhihan Yang, Yanfeng Wang, Wei Chen, Fanbo Meng, Shuo Huang, Jialie Shen, Xiaochuan Wang

ICML 2021 KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen

ICML 2021 Large Scale Private Learning via Low-Rank Reparametrization Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

NeurIPS 2021 Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu

CVPR 2021 Lifelong Person Re-Identification via Adaptive Knowledge Accumulation Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

ICML 2021 Multi-Layered Network Exploration via Random Walks: From Offline Optimization to Online Learning Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui

ICML 2021 Network Inference and Influence Maximization from Samples Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang

NeurIPS 2021 Optimizing Information-Theoretical Generalization Bound via Anisotropic Noise of SGLD Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu

UAI 2021 Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu

NeurIPS 2021 R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu

NeurIPS 2021 Recovering Latent Causal Factor for Generalization to Distributional Shifts Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu

ICML 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models Jose Lezama, Wei Chen, Qiang Qiu

AAAI 2021 SHOT-VAE: Semi-Supervised Deep Generative Models with Label-Aware ELBO Approximations Haozhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen

NeurIPS 2021 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-Bandits with Greedy Oracle Fang Kong, Yueran Yang, Wei Chen, Shuai Li

ICML 2021 The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu

AAAI 2021 Time Series Domain Adaptation via Sparse Associative Structure Alignment Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang

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

AAAI 2020 Adaptive Greedy Versus Non-Adaptive Greedy for Influence Maximization Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao

ICML 2020 Combinatorial Pure Exploration for Dueling Bandit Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao

ECCV 2020 Dual Refinement Underwater Object Detection Network Baojie Fan, Wei Chen, Yang Cong, Jiandong Tian

AAAI 2020 EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang

ECML-PKDD 2020 FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Wei Chen, Kartikeya Bhardwaj, Radu Marculescu

AAAI 2020 Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations Wei Chen, Weizhong Zhang, Haoyu Zhao

IJCAI 2020 Gradient Perturbation Is Underrated for Differentially Private Convex Optimization Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

IJCAI 2020 I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang

NeurIPS 2020 Online Influence Maximization Under Linear Threshold Model Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen

AAAI 2020 Online Second Price Auction with Semi-Bandit Feedback Under the Non-Stationary Setting Haoyu Zhao, Wei Chen

ICML 2020 Optimization from Structured Samples for Coverage Functions Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang

WACV 2020 PointPoseNet: Point Pose Network for Robust 6d Object Pose Estimation Wei Chen, Jinming Duan, Hector Basevi, Hyung Jin Chang, Ales Leonardis

IJCAI 2020 Reinforcement Learning with Dynamic Boltzmann SoftMax Updates Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang

AAAI 2020 Stochastic Online Learning with Probabilistic Graph Feedback Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung

AAAI 2019 Adapting Translation Models for Transcript Disfluency Detection Qianqian Dong, Feng Wang, Zhen Yang, Wei Chen, Shuang Xu, Bo Xu

NeurIPS 2019 Adaptive Influence Maximization with Myopic Feedback Binghui Peng, Wei Chen

IJCAI 2019 BN-Invariant Sharpness Regularizes the Training Model to Better Generalization Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

AAAI 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu

ICLR 2019 G-SGD: Optimizing ReLU Neural Networks in Its Positively Scale-Invariant Space Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu

IJCAI 2019 Improved Algorithm on Online Clustering of Bandits Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung

ECML-PKDD 2019 Stochastic One-Sided Full-Information Bandit Haoyu Zhao, Wei Chen

AAAI 2019 Type Sequence Preserving Heterogeneous Information Network Embedding Yuxin Chen, Tengjiao Wang, Wei Chen, Qiang Li, Zhen Qiu

IJCAI 2018 Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications Weiran Huang, Jungseul Ok, Liang Li, Wei Chen

NeurIPS 2018 Community Exploration: From Offline Optimization to Online Learning Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui

AAAI 2018 Dictionary Learning Inspired Deep Network for Scene Recognition Yang Liu, Qingchao Chen, Wei Chen, Ian J. Wassell

IJCAI 2018 Differential Equations for Modeling Asynchronous Algorithms Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu

IJCAI 2018 Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen

NeurIPS 2018 On the Local Hessian in Back-Propagation Huishuai Zhang, Wei Chen, Tie-Yan Liu

ICML 2018 Thompson Sampling for Combinatorial Semi-Bandits Siwei Wang, Wei Chen

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

ICML 2017 Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhi-Ming Ma, Tie-Yan Liu

AAAI 2017 Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu

ICML 2017 Dual Supervised Learning Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu

IJCAI 2017 Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-Yan Liu

ECML-PKDD 2017 Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu

NeurIPS 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

AAAI 2017 Generalization Error Bounds for Optimization Algorithms via Stability Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu

NeurIPS 2017 Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications Qinshi Wang, Wei Chen

NeurIPS 2017 Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions Qiang Li, Wei Chen, Institute of Computing Xiaoming Sun, Institute of Computing Jialin Zhang

NeurIPS 2017 LightGBM: A Highly Efficient Gradient Boosting Decision Tree Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu

ICCV 2017 Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach Wei Chen, Nan Song

IJCAI 2017 Opinion-Aware Knowledge Graph for Political Ideology Detection Wei Chen, Xiao Zhang, Tengjiao Wang, Bishan Yang, Yi Li

AAAI 2017 Partitioned Sampling of Public Opinions Based on Their Social Dynamics Weiran Huang, Liang Li, Wei Chen

NeurIPS 2016 A Communication-Efficient Parallel Algorithm for Decision Tree Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Tie-Yan Liu

IJCAI 2016 Asynchronous Accelerated Stochastic Gradient Descent Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu

JMLR 2016 Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang

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

ICML 2016 Contextual Combinatorial Cascading Bandits Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen

AAAI 2016 Learning Market Parameters Using Aggregate Demand Queries Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun

ECCV 2016 ObjectNet3D: A Large Scale Database for 3D Object Recognition Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher B. Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese

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

ECCV 2016 Support Discrimination Dictionary Learning for Image Classification Yang Liu, Wei Chen, Qingchao Chen, Ian J. Wassell

ICCV 2015 Action Detection by Implicit Intentional Motion Clustering Wei Chen, Jason J. Corso

UAI 2015 Clustered Sparse Bayesian Learning Yu Wang, David P. Wipf, Jeong-Min Yun, Wei Chen, Ian J. Wassell

AAAI 2015 Generalization Analysis for Game-Theoretic Machine Learning Haifang Li, Fei Tian, Wei Chen, Tao Qin, Zhiming Ma, Tie-Yan Liu

AAAI 2015 Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework Ran Xu, Caiming Xiong, Wei Chen, Jason J. Corso

AAAI 2015 Mechanism Learning with Mechanism Induced Data Tie-Yan Liu, Wei Chen, Tao Qin

ICML 2015 Multi-Task Learning for Subspace Segmentation Yu Wang, David Wipf, Qing Ling, Wei Chen, Ian Wassell

NeurIPS 2015 Stochastic Online Greedy Learning with Semi-Bandit Feedbacks Tian Lin, Jian Li, Wei Chen

CVPR 2014 Actionness Ranking with Lattice Conditional Ordinal Random Fields Wei Chen, Caiming Xiong, Ran Xu, Jason J. Corso

AAAI 2014 Agent Behavior Prediction and Its Generalization Analysis Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu

ICML 2014 Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications Tian Lin, Bruno Abrahao, Robert Kleinberg, John Lui, Wei Chen

NeurIPS 2014 Combinatorial Pure Exploration of Multi-Armed Bandits Shouyuan Chen, Tian Lin, Irwin King, Michael R Lyu, Wei Chen

JMLR 2014 Detecting Click Fraud in Online Advertising: A Data Mining Approach Richard Oentaryo, Ee-Peng Lim, Michael Finegold, David Lo, Feida Zhu, Clifton Phua, Eng-Yeow Cheu, Ghim-Eng Yap, Kelvin Sim, Minh Nhut Nguyen, Kasun Perera, Bijay Neupane, Mustafa Faisal, Zeyar Aung, Wei Lee Woon, Wei Chen, Dhaval Patel, Daniel Berrar

ECCV 2014 Seeing Is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions Andrei Barbu, Daniel Paul Barrett, Wei Chen, Siddharth Narayanaswamy, Caiming Xiong, Jason J. Corso, Christiane D. Fellbaum, Catherine Hanson, Stephen José Hanson, Sébastien Hélie, Evguenia Malaia, Barak A. Pearlmutter, Jeffrey Mark Siskind, Thomas Michael Talavage, Ronnie B. Wilbur

AAAI 2013 A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang

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

ICML 2013 Combinatorial Multi-Armed Bandit: General Framework and Applications Wei Chen, Yajun Wang, Yang Yuan

AAAI 2012 Time-Critical Influence Maximization in Social Networks with Time-Delayed Diffusion Process Wei Chen, Wei Lu, Ning Zhang

IJCAI 2011 Community Detection in Social Networks Through Community Formation Games Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang

NeurIPS 2010 Two-Layer Generalization Analysis for Ranking Using Rademacher Average Wei Chen, Tie-yan Liu, Zhi-ming Ma

CVPR 2010 Visual Tracking via Incremental Self-Tuning Particle Filtering on the Affine Group Min Li, Wei Chen, Kaiqi Huang, Tieniu Tan

CVPRW 2009 Head Pose Estimation Using Spectral Regression Discriminant Analysis Caifeng Shan, Wei Chen

NeurIPS 2009 Ranking Measures and Loss Functions in Learning to Rank Wei Chen, Tie-yan Liu, Yanyan Lan, Zhi-ming Ma, Hang Li