Wu, Fei

132 publications

WACV 2025 Active Learning with Context Sampling and One-vs-REST Entropy for Semantic Segmentation Fei Wu, Pablo Márquez Neila, Hedyeh Rafii-Tari, Raphael Sznitman

ICML 2025 Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang

ICCV 2025 Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program Minghe Gao, Xuqi Liu, Zhongqi Yue, Yang Wu, Shuang Chen, Juncheng Li, Siliang Tang, Fei Wu, Tat-Seng Chua, Yueting Zhuang

CVPR 2025 Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy Zesen Cheng, Hang Zhang, Kehan Li, Sicong Leng, Zhiqiang Hu, Fei Wu, Deli Zhao, Xin Li, Lidong Bing

ICLR 2025 Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang

NeurIPS 2025 Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization Baoyi He, Luotian Yuan, Ying Wei, Fei Wu

IJCAI 2025 Device-Cloud Collaborative Correction for On-Device Recommendation Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu

ICLR 2025 Discriminator-Guided Embodied Planning for LLM Agent Haofu Qian, Chenjia Bai, Jiatao Zhang, Fei Wu, Wei Song, Xuelong Li

ICML 2025 ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Zhang Keli, Aimin Zhou, Fei Wu, Kun Kuang

ICLR 2025 EcoFace: Audio-Visual Emotional Co-Disentanglement Speech-Driven 3D Talking Face Generation Jiajian Xie, Shengyu Zhang, Mengze Li, Chengfei Lv, Zhou Zhao, Fei Wu

NeurIPS 2025 EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT Baoqi Pei, Yifei Huang, Jilan Xu, Yuping He, Guo Chen, Fei Wu, Jiangmiao Pang, Yu Qiao

IJCAI 2025 ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation Zhan Qu, Shengyu Zhang, Mengze Li, Zhuo Chen, Chengfei Lv, Zhou Zhao, Fei Wu

AAAI 2025 FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu

NeurIPS 2025 InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models Yanggan Gu, Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang

NeurIPS 2025 InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang

NeurIPS 2025 Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning Kaihang Pan, Yang Wu, Wendong Bu, Kai Shen, Juncheng Li, Yingting Wang, Liyunfei, Siliang Tang, Jun Xiao, Fei Wu, ZhaoHang, Yueting Zhuang

AAAI 2025 Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis Zhiang Dong, Jingyuan Chen, Fei Wu

NeurIPS 2025 MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations Wenxiang Guo, Changhao Pan, Zhiyuan Zhu, Xintong Hu, Yu Zhang, Li Tang, Rui Yang, Han Wang, Zongbao Zhang, Yuhan Wang, Yixuan Chen, Hankun Xu, Ke Xu, PengFei Fan, ZheTao Chen, Yanhao Yu, Qiange Huang, Fei Wu, Zhou Zhao

NeurIPS 2025 MS-Bench: Evaluating LMMs in Ancient Manuscript Study Through a Dunhuang Case Study Yuqing Zhang, Yue Han, Shuanghe Zhu, Haoxiang Wu, Hangqi Li, Shengyu Zhang, Junchi Yan, Zemin Liu, Kun Kuang, Huaiyong Dou, Yongquan Zhang, Fei Wu

AAAI 2025 MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities Kunxi Li, Tianyu Zhan, Kairui Fu, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fan Wu, Fei Wu

ICLR 2025 Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu

ICLR 2025 Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu

NeurIPS 2025 Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang

ICLR 2025 Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang

CVPR 2025 Non-Natural Image Understanding with Advancing Frequency-Based Vision Encoders Wang Lin, QingSong Wang, Yueying Feng, Shulei Wang, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen

AAAI 2025 Optimize Incompatible Parameters Through Compatibility-Aware Knowledge Integration Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu

ICML 2025 Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang

ICLR 2025 Training-Free LLM-Generated Text Detection by Mining Token Probability Sequences Yihuai Xu, Yongwei Wang, Yifei Bi, Huangsen Cao, Zhouhan Lin, Yu Zhao, Fei Wu

NeurIPS 2025 Vinci: Deep Thinking in Text-to-Image Generation Using Unified Model with Reinforcement Learning Wang Lin, Wentao Hu, Liyu Jia, Kaihang Pan, Zhang Majun, Zhou Zhao, Fei Wu, Jingyuan Chen, Hanwang Zhang

NeurIPS 2024 $e^3$: Exploring Embodied Emotion Through a Large-Scale Egocentric Video Dataset Wang Lin, Yueying Feng, Wenkang Han, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen

NeurIPS 2024 Action Imitation in Common Action Space for Customized Action Image Synthesis Wang Lin, Jingyuan Chen, Jiaxin Shi, Zirun Guo, Yichen Zhu, Zehan Wang, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang

ICLR 2024 Active Retrosynthetic Planning Aware of Route Quality Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu

AAAI 2024 Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction Jianping Zhu, Xin Guo, Yang Chen, Yao Yang, Wenbo Li, Bo Jin, Fei Wu

ICLR 2024 AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang

AAAI 2024 Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang

WACV 2024 Correlation-Aware Active Learning for Surgery Video Segmentation Fei Wu, Pablo Márquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman

AAAI 2024 De-Biased Attention Supervision for Text Classification with Causality Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang

ICML 2024 InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu

ECCV 2024 LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu

ICML 2024 Learning Causal Relations from Subsampled Time Series with Two Time-Slices Anpeng Wu, Haoxuan Li, Kun Kuang, Zhang Keli, Fei Wu

ICML 2024 Learning Shadow Variable Representation for Treatment Effect Estimation Under Collider Bias Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang

AAAI 2024 Learning to Reweight for Generalizable Graph Neural Network Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

CVPR 2024 MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization Jimin Xu, Tianbao Wang, Tao Jin, Shengyu Zhang, Dongjie Fu, Zhe Wang, Jiangjing Lyu, Chengfei Lv, Chaoyue Niu, Zhou Yu, Zhou Zhao, Fei Wu

ICLR 2024 MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang

ICML 2024 Non-Confusing Generation of Customized Concepts in Diffusion Models Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang

AAAI 2024 Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction Jiacheng Chen, Jiawei Jiang, Fei Wu, Jianwei Zheng

AAAI 2024 RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye

NeurIPS 2024 Revisiting Score Propagation in Graph Out-of-Distribution Detection Longfei Ma, Yiyou Sun, Kaize Ding, Zemin Liu, Fei Wu

ICMLW 2024 To Compete or to Collude: Builder Incentives in MEV-Boost Auctions Fei Wu, Thomas Thiery, Stefanos Leonardos, Carmine Ventre

CVPR 2023 ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning over Untrimmed Videos Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu

ICCV 2023 Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer Yujiao Shi, Fei Wu, Akhil Perincherry, Ankit Vora, Hongdong Li

AAAI 2023 DE-Net: Dynamic Text-Guided Image Editing Adversarial Networks Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian

NeurIPS 2023 HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang

AAAI 2023 Learning Chemical Rules of Retrosynthesis with Pre-Training Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang

AAAI 2023 Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

NeurIPS 2023 PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios Liya Hu, Zhiang Dong, Jingyuan Chen, Guifeng Wang, Zhihua Wang, Zhou Zhao, Fei Wu

ICML 2023 Stable Estimation of Heterogeneous Treatment Effects Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu

NeurIPS 2023 Two Heads Are Better than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Fei Wu, Jun Xiao, Long Chen

AAAI 2023 Video-Audio Domain Generalization via Confounder Disentanglement Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu

CVPR 2023 WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding Mengze Li, Han Wang, Wenqiao Zhang, Jiaxu Miao, Zhou Zhao, Shengyu Zhang, Wei Ji, Fei Wu

CVPR 2022 Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang

NeurIPS 2022 ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu

CVPR 2022 DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis Ming Tao, Hao Tang, Fei Wu, Xiao-Yuan Jing, Bing-Kun Bao, Changsheng Xu

ICML 2022 Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao

AAAI 2022 Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu

ICLR 2022 GNN-LM: Language Modeling Based on Global Contexts via GNN Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li

ICLRW 2022 GNN-LM: Language Modeling Based on Global Contexts via GNN Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li

NeurIPS 2022 GRASP: Navigating Retrosynthetic Planning with Goal-Driven Policy Yemin Yu, Ying Wei, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu

ICML 2022 Instrumental Variable Regression with Confounder Balancing Anpeng Wu, Kun Kuang, Bo Li, Fei Wu

CVPR 2022 OakInk: A Large-Scale Knowledge Repository for Understanding Hand-Object Interaction Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu

IJCAI 2022 RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang

IJCAI 2022 SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech Zhenhui Ye, Zhou Zhao, Yi Ren, Fei Wu

ICML 2022 The Role of Deconfounding in Meta-Learning Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei

ICMLW 2022 Towards Multi-Level Fairness and Robustness on Federated Learning Fengda Zhang, Kun Kuang, Yuxuan Liu, Long Chen, Jiaxun Lu, Yunfeng Shao, Fei Wu, Chao Wu, Jun Xiao

CVPR 2022 Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian

ICCV 2021 Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang

CVPRW 2021 DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining with Causality Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu

ICCV 2021 FcaNet: Frequency Channel Attention Networks Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li

CVPRW 2021 Grounded, Controllable and Debiased Image Completion with Lexical Semantics Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu

AAAI 2021 Judgment Prediction via Injecting Legal Knowledge into Neural Networks Leilei Gan, Kun Kuang, Yi Yang, Fei Wu

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

AAAI 2021 MANGO: A Mask Attention Guided One-Stage Scene Text Spotter Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu

AAAI 2021 Modeling High-Order Interactions Across Multi-Interests for Micro-Video Reommendation (Student Abstract) Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu

AAAI 2021 SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou

ICCV 2021 Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples with Graph-Based Virtual Labels Jiannan Guo, Haochen Shi, Yangyang Kang, Kun Kuang, Siliang Tang, Zhuoren Jiang, Changlong Sun, Fei Wu, Yueting Zhuang

AAAI 2021 Web-Based Platform for K-12 AI Education in China Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu

ICML 2020 Description Based Text Classification with Reinforcement Learning Duo Chai, Wei Wu, Qinghong Han, Fei Wu, Jiwei Li

IJCAI 2020 Dress like an Internet Celebrity: Fashion Retrieval in Videos Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu

IJCAI 2020 Polar Relative Positional Encoding for Video-Language Segmentation Ke Ning, Lingxi Xie, Fei Wu, Qi Tian

NeurIPS 2020 SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection Xiaoya Li, Yuxian Meng, Mingxin Zhou, Qinghong Han, Fei Wu, Jiwei Li

IJCAI 2020 SEBF: A Single-Chain Based Extension Model of Blockchain for Fintech Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun, Shangdong Liu, Jing He, Yunyao Li, Kaixiang Zhang, Fen Mei, Fei Wu

AAAI 2020 Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu

AAAI 2019 Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren

AAAI 2019 Heterogeneous Attributed Network Embedding with Graph Convolutional Networks Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, Yueting Zhuang

AAAI 2019 Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu

AAAI 2019 Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition Bin Li, Xi Li, Zhongfei Zhang, Fei Wu

AAAI 2018 A Semantic QA-Based Approach for Text Summarization Evaluation Ping Chen, Fei Wu, Tong Wang, Wei Ding

IJCAI 2018 Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang

AAAI 2018 Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li

AAAI 2018 Dynamic Network Embedding by Modeling Triadic Closure Process Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang

IJCAI 2018 HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction Dejiang Kong, Fei Wu

AAAI 2018 Multi-Label Community-Based Question Classification via Personalized Sequence Memory Network Learning Xinyu Duan, Shengyu Zhang, Zhou Zhao, Fei Wu, Yueting Zhuang

IJCAI 2018 Open-Ended Long-Form Video Question Answering via Adaptive Hierarchical Reinforced Networks Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang

AAAI 2018 Representation Learning for Scale-Free Networks Rui Feng, Yang Yang, Wenjie Hu, Fei Wu, Yueting Zhang

AAAI 2018 Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang

IJCAI 2017 Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua

IJCAI 2017 Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo, Ruiping Wang, Xiaoke Zhu

IJCAI 2017 Group-Wise Deep Co-Saliency Detection Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu

AAAI 2017 Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng

AAAI 2017 Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu

AAAI 2017 Multiset Feature Learning for Highly Imbalanced Data Classification Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang

AAAI 2017 Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen

AAAI 2016 Community-Based Question Answering via Heterogeneous Social Network Learning Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester

IJCAI 2016 Diverse Image Captioning via GroupTalk Zhuhao Wang, Fei Wu, Weiming Lu, Jun Xiao, Xi Li, Zitong Zhang, Yueting Zhuang

CVPR 2016 Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning Pingbo Pan, Zhongwen Xu, Yi Yang, Fei Wu, Yueting Zhuang

IJCAI 2016 Self-Paced Boost Learning for Classification Te Pi, Xi Li, Zhongfei Zhang, Deyu Meng, Fei Wu, Jun Xiao, Yueting Zhuang

IJCAI 2016 Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Hui Feng

AAAI 2015 Metric Learning Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking Liming Zhao, Xi Li, Jun Xiao, Fei Wu, Yueting Zhuang

IJCAI 2015 Sketch the Storyline with CHARCOAL: A Non-Parametric Approach Siliang Tang, Fei Wu, Si Li, Weiming Lu, Zhongfei Zhang, Yueting Zhuang

AAAI 2015 Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base Fei Wu, Jun Song, Yi Yang, Xi Li, Zhongfei (Mark) Zhang, Yueting Zhuang

CVPR 2015 Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary Learning Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Xinge You, Qinglong Liu, Dong Yue, Ruimin Hu, Baowen Xu

IJCAI 2015 Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction Xiao-Yuan Jing, Qian Liu, Fei Wu, Baowen Xu, Yang-Ping Zhu, Songcan Chen

AAAI 2014 Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition Xiao-Yuan Jing, Ruimin Hu, Fei Wu, Xi-Lin Chen, Qian Liu, Yong-Fang Yao

AAAI 2013 Supervised Coupled Dictionary Learning with Group Structures for Multi-Modal Retrieval Yueting Zhuang, Yanfei Wang, Fei Wu, Yin Zhang, Weiming Lu

AAAI 2013 Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint Fei Wu, Xu Tan, Yi Yang, Dacheng Tao, Siliang Tang, Yueting Zhuang

IJCAI 2013 Synthesizing Union Tables from the Web Xiao Ling, Alon Y. Halevy, Fei Wu, Cong Yu

CVPR 2012 Graph-Guided Sparse Reconstruction for Region Tagging Yahong Han, Fei Wu, Jian Shao, Qi Tian, Yueting Zhuang

JAIR 2011 Identifying Aspects for Web-Search Queries Fei Wu, Jayant Madhavan, Alon Y. Halevy

AAAI 2010 Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bin Yu

CVPR 2010 Sparse Representation Using Nonnegative Curds and Whey Yanan Liu, Fei Wu, Zhihua Zhang, Yueting Zhuang, Shuicheng Yan

CVPR 2008 Adaptive and Compact Shape Descriptor by Progressive Feature Combination and Selection with Boosting Cheng Chen, Yueting Zhuang, Jun Xiao, Fei Wu

AAAI 2008 Intelligence in Wikipedia Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner