Fan, Wei

63 publications

ICML 2025 Actor-Critics Can Achieve Optimal Sample Efficiency Kevin Tan, Wei Fan, Yuting Wei

AAAI 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu

ICLR 2025 DRL: Decomposed Representation Learning for Tabular Anomaly Detection Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dan dan Guo, Yi Chang

ICML 2025 De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks Wei Fan, Kejiang Chen, Chang Liu, Weiming Zhang, Nenghai Yu

IJCAI 2025 Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan

AAAI 2025 Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu

IJCAI 2025 RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu

NeurIPS 2025 Vector Database Watermarking Zhiwen Ren, Wei Fan, Qiyi Yao, Jing Qiu, Weiming Zhang, Nenghai Yu

AAAI 2025 Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao

IJCAI 2024 Decoupled Invariant Attention Network for Multivariate Time-Series Forecasting Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang

IJCAI 2024 Deep Frequency Derivative Learning for Non-Stationary Time Series Forecasting Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An

IJCAI 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-Based Optimization Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou

NeurIPS 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan

IJCAI 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu

NeurIPS 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs Kevin Tan, Wei Fan, Yuting Wei

ICML 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang

ICLR 2024 PTaRL: Prototype-Based Tabular Representation Learning via Space Calibration Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dan dan Guo, Yi Chang

IJCAI 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu

AAAI 2023 Background-Mixed Augmentation for Weakly Supervised Change Detection Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu

AAAI 2023 Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu

NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

NeurIPS 2023 Frequency-Domain MLPs Are More Effective Learners in Time Series Forecasting Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

ICLR 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu

IJCAI 2022 Feature and Instance Joint Selection: A Reinforcement Learning Perspective Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu

WACV 2022 MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan

AAAI 2021 Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-Modality Attention Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou

CVPR 2021 Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

AAAI 2021 U-BERT: Pre-Training User Representations for Improved Recommendation Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan

WACV 2020 DGGAN: Depth-Image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Wei Fan, Xiaohui Xie

IJCAI 2020 Entity Synonym Discovery via Multipiece Bilateral Context Matching Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu

AAAI 2020 Federated Learning for Vision-and-Language Grounding Problems Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

WACV 2020 Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation Yifei Chen, Haoyu Ma, Deying Kong, Xiangyi Yan, Jianbao Wu, Wei Fan, Xiaohui Xie

AAAI 2020 Object-Guided Instance Segmentation for Biological Images Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan

AAAI 2020 On the Generation of Medical Question-Answer Pairs Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan

AAAI 2020 PSENet: Psoriasis Severity Evaluation Network Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, Yangtian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang

NeurIPS 2020 Prophet Attention: Predicting Attention with Future Attention Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun

AAAI 2020 Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract) Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos

AAAI 2020 Shape-Aware Organ Segmentation by Predicting Signed Distance Maps Yuan Xue, Hui Tang, Zhi Qiao, Guanzhong Gong, Yong Yin, Zhen Qian, Chao Huang, Wei Fan, Xiaolei Huang

IJCAI 2019 MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction Zhi Qiao, Xian Wu, Shen Ge, Wei Fan

AAAI 2019 Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen

WACV 2018 DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie

ICML 2014 A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye

NeurIPS 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng

CVPR 2014 Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification Yadong Mu, Gang Hua, Wei Fan, Shih-Fu Chang

ICML 2014 Rank-One Matrix Pursuit for Matrix Completion Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye

ECML-PKDD 2013 Detecting Marionette Microblog Users for Improved Information Credibility Xian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu

ICML 2013 Joint Transfer and Batch-Mode Active Learning Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye

IJCAI 2013 NIM: Scalable Distributed Stream Processing System on Mobile Network Data Wei Fan

AAAI 2012 Sembler: Ensembling Crowd Sequential Labeling for Improved Quality Xian Wu, Wei Fan, Yong Yu

ECML-PKDD 2011 ShareBoost: Boosting for Multi-View Learning with Performance Guarantees Jing Peng, Costin Barbu, Guna Seetharaman, Wei Fan, Xian Wu, Kannappan Palaniappan

ECML-PKDD 2010 Cross Validation Framework to Choose Amongst Models and Datasets for Transfer Learning Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren

ECML-PKDD 2010 Efficient and Numerically Stable Sparse Learning Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren

NeurIPS 2009 Graph-Based Consensus Maximization Among Multiple Supervised and Unsupervised Models Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han

ECML-PKDD 2009 Relaxed Transfer of Different Classes via Spectral Partition Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren

ECML-PKDD 2009 Universal Learning over Related Distributions and Adaptive Graph Transduction Erheng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren

ECML-PKDD 2008 Actively Transfer Domain Knowledge Xiaoxiao Shi, Wei Fan, Jiangtao Ren

CVPR 2007 Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds Wei Fan, Dit-Yan Yeung

CVPR 2006 Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification Wei Fan, Dit-Yan Yeung

AAAI 2004 On the Optimality of Probability Estimation by Random Decision Trees Wei Fan

IJCAI 2003 Inductive Learning in Less than One Sequential Data Scan Wei Fan, Haixun Wang, Philip S. Yu, Shaw-Hwa Lo

AAAI 2002 Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles Wei Fan, Fang Chu, Haixun Wang, Philip S. Yu

ECML-PKDD 2000 A Multiple Model Cost-Sensitive Approach for Intrusion Detection Wei Fan, Wenke Lee, Salvatore J. Stolfo, Matthew Miller

ICML 1999 AdaCost: Misclassification Cost-Sensitive Boosting Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip K. Chan