Wang, Fei

153 publications

ICLR 2025 BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge Terry Tong, Fei Wang, Zhe Zhao, Muhao Chen
ICLR 2025 Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao
IJCAI 2025 Conditional Causal Representation Learning for Heterogeneous Single-Cell RNA Data Integration and Prediction Jiayi Dong, Jiahao Li, Fei Wang
NeurIPS 2025 Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer Qiannan Zhang, Manqi Zhou, Zilong Bai, Chang Su, Fei Wang
CVPR 2025 Diffusion-Based Realistic Listening Head Generation via Hybrid Motion Modeling Yinuo Wang, Yanbo Fan, Xuan Wang, Guo Yu, Fei Wang
AAAI 2025 Editing Memories Through Few Targeted Neurons Wei Zhou, Wei Wei, Guibang Cao, Fei Wang
ICCV 2025 Fine-Grained 3D Gaussian Head Avatars Modeling from Static Captures via Joint Reconstruction and Registration Yuan Sun, Xuan Wang, Cong Wang, WeiLi Zhang, Yanbo Fan, Yu Guo, Fei Wang
TMLR 2025 FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction Adamo Young, Fei Wang, David Wishart, Bo Wang, Russell Greiner, Hannes Rost
ICML 2025 Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu
CVPR 2025 HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving R.D. Lin, Pengcheng Weng, Yinqiao Wang, Han Ding, Jinsong Han, Fei Wang
NeurIPS 2025 Layer as Puzzle Pieces: Compressing Large Language Models Through Layer Concatenation Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
NeurIPS 2025 LayerIF: Estimating Layer Quality for Large Language Models Using Influence Functions Hadi Askari, Shivanshu Gupta, Fei Wang, Anshuman Chhabra, Muhao Chen
CVPR 2025 Leveraging Global Stereo Consistency for Category-Level Shape and 6d Pose Estimation from Stereo Images Junning Qiu, Minglei Lu, Fei Wang, Yu Guo, Yonggen Ling
AAAI 2025 Local Causal Discovery for Structural Evidence of Direct Discrimination Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang
ICCV 2025 MMAD: Multi-Label Micro-Action Detection in Videos Kun Li, Pengyu Liu, Dan Guo, Fei Wang, Zhiliang Wu, Hehe Fan, Meng Wang
AAAI 2025 MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
ICLR 2025 MuirBench: A Comprehensive Benchmark for Robust Multi-Image Understanding Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
TMLR 2025 Offset Unlearning for Large Language Models James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
NeurIPS 2025 On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting Yisong Fu, Fei Wang, Zezhi Shao, Boyu Diao, Lin Wu, Zhulin An, Chengqing Yu, Yujie Li, Yongjun Xu
ICCV 2025 PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Lean Fu, Fei Wang
NeurIPS 2025 SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Zezhi Shao, Jun Zhang, Tao Sun, Fei Wang, Yongjun Xu
NeurIPS 2025 Selective Learning for Deep Time Series Forecasting Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Zhulin An, Cheems Wang, Yongjun Xu, Fei Wang
IJCAI 2024 A Density-Driven Iterative Prototype Optimization for Transductive Few-Shot Learning Jingcong Li, Chunjin Ye, Fei Wang, Jiahui Pan
NeurIPSW 2024 Bayesian Online Non-Stationary Detection for Robust Reinforcement Learning Alexander Shmakov, Pankaj Rajak, Yuhao Feng, Wojciech Kowalinski, Fei Wang
ICLR 2024 CLAP: Collaborative Adaptation for Patchwork Learning Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang
NeurIPSW 2024 ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction? Canyu Chen, Jian Yu, Shan Chen, Che Liu, Zhongwei Wan, Danielle Bitterman, Fei Wang, Kai Shu
CHIL 2024 Conference on Health, Inference, and Learning (CHIL) 2024 Tom Pollard, Edward Choi, Pankhuri Singhal, Michael Hughes, Elena Sizikova, Bobak Mortazavi, Irene Chen, Fei Wang, Tasmie Sarker, Matthew McDermott, Marzyeh Ghassemi
AAAI 2024 EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering Within Transformer Fei Wang, Dan Guo, Kun Li, Meng Wang
CVPR 2024 Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture Fei Wang, Dan Guo, Kun Li, Zhun Zhong, Meng Wang
CVPR 2024 Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID Wentan Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao
UAI 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs Jacqueline Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
ECCVW 2024 LocalMamba: Visual State Space Model with Windowed Selective Scan Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu
NeurIPS 2024 MassSpecGym: A Benchmark for the Discovery and Identification of Molecules Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer, Raman Samusevich, Janne Heirman, Fei Wang, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Li-Ping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J.J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomáš Pluskal
CVPR 2024 Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi Kangwei Yan, Fei Wang, Bo Qian, Han Ding, Jinsong Han, Xing Wei
ECCV 2024 Sketch2Vox: Learning 3D Reconstruction from a Single Monocular Sketch Image Fei Wang
NeurIPS 2024 Unified Insights: Harnessing Multi-Modal Data for Phenotype Imputation via View Decoupling Qiannan Zhang, Weishen Pan, Zilong Bai, Chang Su, Fei Wang
ICMLW 2023 A Survey on Knowledge Graphs for Healthcare: Resources, Application Progress, and Promise Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang
ICCV 2023 Boosting Novel Category Discovery over Domains with Soft Contrastive Learning and All in One Classifier Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li
ICLR 2023 DamoFD: Digging into Backbone Design on Face Detection Yang Liu, Jiankang Deng, Fei Wang, Lei Shang, Xuansong Xie, Baigui Sun
NeurIPS 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen
ICML 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
NeurIPS 2023 Knowledge Diffusion for Distillation Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
IJCAI 2023 Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution Guanxin Li, Jingang Shi, Yuan Zong, Fei Wang, Tian Wang, Yihong Gong
NeurIPSW 2023 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
CVPR 2023 Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, Fei Wang
ICLR 2023 Masked Distillation with Receptive Tokens Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
ICMLW 2023 Regularized Data Programming with Automated Bayesian Prior Selection Jacqueline R. M. A. Maasch, Hao Zhang, Qian Yang, Fei Wang, Volodymyr Kuleshov
CVPR 2023 SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang
ICCV 2023 SimMatchV2: Semi-Supervised Learning with Graph Consistency Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu
ICCVW 2023 The First Visual Object Tracking Segmentation VOTS2023 Challenge Results Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo
NeurIPSW 2023 Transfer Learning, Reinforcement Learning for Adaptive Control Optimization Under Distribution Shift Pankaj Rajak, Wojciech Kowalinski, Fei Wang
CVPR 2023 UV Volumes for Real-Time Rendering of Editable Free-View Human Performance Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang
NeurIPSW 2023 Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou
CVPR 2022 A Keypoint-Based Global Association Network for Lane Detection Jinsheng Wang, Yinchao Ma, Shaofei Huang, Tianrui Hui, Fei Wang, Chen Qian, Tianzhu Zhang
NeurIPS 2022 Contrastive Graph Structure Learning via Information Bottleneck for Recommendation Chunyu Wei, Jian Liang, Di Liu, Fei Wang
AAAI 2022 Deep Recurrent Neural Network with Multi-Scale Bi-Directional Propagation for Video Deblurring Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang
CVPR 2022 DyRep: Bootstrapping Training with Dynamic Re-Parameterization Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
CVPR 2022 Face2Exp: Combating Data Biases for Facial Expression Recognition Dan Zeng, Zhiyuan Lin, Xiao Yan, Yuting Liu, Fei Wang, Bo Tang
CVPR 2022 GreedyNASv2: Greedier Search with a Greedy Path Filter Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
NeurIPS 2022 Green Hierarchical Vision Transformer for Masked Image Modeling Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki
ECCV 2022 HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu
IJCAI 2022 IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong
NeurIPS 2022 Knowledge Distillation from a Stronger Teacher Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
CVPR 2022 Learning Where to Learn in Cross-View Self-Supervised Learning Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki
CVPR 2022 MogFace: Towards a Deeper Appreciation on Face Detection Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li
CVPRW 2022 NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
CVPRW 2022 OutfitGAN: Learning Compatible Items for Generative Fashion Outfits Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang
ICLR 2022 Relational Surrogate Loss Learning Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu
ECCV 2022 ScaleNet: Searching for the Model to Scale Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian
CVPR 2022 SimMatch: Semi-Supervised Learning with Similarity Matching Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu
ECCVW 2022 The Tenth Visual Object Tracking VOT2022 Challenge Results Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang
AAAI 2022 Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang
ECCV 2022 ViTAS: Vision Transformer Architecture Search Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
NeurIPS 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
ICCV 2021 Adversarial Example Detection Using Latent Neighborhood Graph Ahmed Abusnaina, Yuhang Wu, Sunpreet Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen
CVPR 2021 BCNet: Searching for Network Width with Bilaterally Coupled Network Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
CVPR 2021 Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang
AAAI 2021 Fast Multi-View Discrete Clustering with Anchor Graphs Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie
ICML 2021 K-Shot NAS: Learnable Weight-Sharing for NAS with K-Shot Supernets Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
CVPR 2021 Learning to Restore Hazy Video: A New Real-World Dataset and a New Method Xinyi Zhang, Hang Dong, Jinshan Pan, Chao Zhu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Fei Wang
ICCV 2021 Learning with Privileged Tasks Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang
ICLR 2021 Locally Free Weight Sharing for Network Width Search Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
JMLR 2021 Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models Fei Wang, Ling Zhou, Lu Tang, Peter X.K. Song
CVPR 2021 Prioritized Architecture Sampling with Monto-Carlo Tree Search Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
NeurIPS 2021 ReSSL: Relational Self-Supervised Learning with Weak Augmentation Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
CVPR 2021 Reformulating HOI Detection as Adaptive Set Prediction Mingfei Chen, Yue Liao, Si Liu, Zhiyuan Chen, Fei Wang, Chen Qian
CVPR 2021 Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin
ICCV 2021 Weakly Supervised Contrastive Learning Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
AAAI 2020 A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, Feng Lu
NeurIPS 2020 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, Changshui Zhang
AAAI 2020 Federated Patient Hashing Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang
NeurIPS 2020 ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin
ECCV 2020 Local Correlation Consistency for Knowledge Distillation Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian
AAAI 2020 Neural Cognitive Diagnosis for Intelligent Education Systems Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang
AAAI 2020 Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract) Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou
ECCVW 2020 The Eighth Visual Object Tracking VOT2020 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma
AAAI 2019 A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang
AAAI 2019 Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
NeurIPS 2019 Glyce: Glyph-Vectors for Chinese Character Representations Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin, Muyu Li, Qinghong Han, Xiaofei Sun, Jiwei Li
AAAI 2019 Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers Under High Outlier Ratios Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang
ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou
NeurIPS 2018 Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming Fei Wang, James Decker, Xilun Wu, Gregory Essertel, Tiark Rompf
NeurIPS 2018 Boosted Sparse and Low-Rank Tensor Regression Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
IJCAI 2018 Drug Similarity Integration Through Attentive Multi-View Graph Auto-Encoders Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
ECCV 2018 Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
MLHC 2018 Integrating Hypertension Phenotype and Genotype with Hybrid Non-Negative Matrix Factorization Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
IJCAI 2018 Pairwise-Ranking Based Collaborative Recurrent Neural Networks for Clinical Event Prediction Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
AAAI 2018 Structural Deep Embedding for Hyper-Networks Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
ECCV 2018 The Devil of Face Recognition Is in the Noise Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, Chen Change Loy
AAAI 2017 Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang
IJCAI 2017 Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study Suyog Gupta, Wei Zhang, Fei Wang
AAAI 2017 Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang
CVPR 2017 Residual Attention Network for Image Classification Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang
AAAI 2017 TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang
AAAI 2017 Treatment Effect Estimation with Data-Driven Variable Decomposition Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
ECCV 2016 Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces Xuan Wang, Mathieu Salzmann, Fei Wang, Jizhong Zhao
AAAI 2015 Perceiving Group Themes from Collective Social and Behavioral Information Peng Cui, Tianyang Zhang, Fei Wang, Peng He
AAAI 2015 Probabilistic Attributed Hashing Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu
IJCAI 2013 Active Learning from Relative Queries Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson
IJCAI 2013 Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment Yuheng Hu, Fei Wang, Subbarao Kambhampati
AAAI 2012 ET-LDA: Joint Topic Modeling for Aligning Events and Their Twitter Feedback Yuheng Hu, Ajita John, Fei Wang, Subbarao Kambhampati
AAAI 2011 Automatic Group Sparse Coding Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi
AAAI 2011 Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun
AAAI 2011 Towards Evolutionary Nonnegative Matrix Factorization Fei Wang, Hanghang Tong, Ching-Yung Lin
CVPRW 2010 Cardiac Disease Detection from Echocardiogram Using Edge Filtered Scale-Invariant Motion Features Ritwik Kumar, Fei Wang, David Beymer, Tanveer F. Syeda-Mahmood
ALT 2010 Compressed Learning with Regular Concept Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang
CVPR 2010 Shape-Based Similarity Retrieval of Doppler Images for Clinical Decision Support Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl
CVPRW 2009 Automatic Estimation of Left Ventricular Dysfunction from Echocardiogram Videos David Beymer, Tanveer F. Syeda-Mahmood, Arnon Amir, Fei Wang, Scott Adelman
CVPR 2009 Beyond the Graphs: Semi-Parametric Semi-Supervised Discriminant Analysis Fei Wang, Xin Wang, Tao Li
CVPR 2009 Echocardiogram View Classification Using Edge Filtered Scale-Invariant Motion Features Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fathima Syeda-Mahmood
CVPR 2009 Efficient Multi-Label Classification with Hypergraph Regularization Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao
IJCAI 2009 Generalized Cluster Aggregation Fei Wang, Xin Wang, Tao Li
IJCAI 2009 M3IC: Maximum Margin Multiple Instance Clustering Dan Zhang, Fei Wang, Luo Si, Tao Li
IJCAI 2009 Preference Learning with Extreme Examples Fei Wang, Bin Zhang, Ta-Hsin Li, Wen Jun Yin, Jin Dong, Tao Li
CVPR 2009 Shape Comparison Using Perturbing Shape Registration Yifeng Jiang, Erin Edmiston, Fei Wang, Hilary P. Blumberg, Lawrence H. Staib, Xenophon Papademetris
CVPR 2009 Unsupervised Maximum Margin Feature Selection with Manifold Regularization Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang
AAAI 2008 Classification by Discriminative Regularization Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin Dong
ICML 2008 Efficient Multiclass Maximum Margin Clustering Bin Zhao, Fei Wang, Changshui Zhang
CVPRW 2008 Exploiting Spatio-Temporal Information for View Recognition in Cardiac Echo Videos David Beymer, Tanveer F. Syeda-Mahmood, Fei Wang
AAAI 2008 Multi-View Local Learning Dan Zhang, Fei Wang, Changshui Zhang, Tao Li
AAAI 2008 On Discriminative Semi-Supervised Classification Fei Wang, Changshui Zhang
AAAI 2008 Semi-Supervised Classification Using Local and Global Regularization Fei Wang, Tao Li, Gang Wang, Changshui Zhang
ECCV 2008 Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection Tanveer Fathima Syeda-Mahmood, Fei Wang
AAAI 2007 Clustering with Local and Global Regularization Fei Wang, Changshui Zhang, Tao Li
CVPR 2007 Feature Extraction by Maximizing the Average Neighborhood Margin Fei Wang, Changshui Zhang
AISTATS 2007 Semi-Supervised Mean Fields Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther
CVPR 2007 Unsupervised Clustering Using Multi-Resolution Perceptual Grouping Tanveer Fathima Syeda-Mahmood, Fei Wang
CVPRW 2006 A Discriminative Method for Semi-Automated Tumorous Tissues Segmentation of MR Brain Images Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang
CVPR 2006 Groupwise Point Pattern Registration Using a Novel CDF-Based Jensen-Shannon Divergence Fei Wang, Baba C. Vemuri, Anand Rangarajan
ICML 2006 Label Propagation Through Linear Neighborhoods Fei Wang, Changshui Zhang
CVPR 2006 Semi-Supervised Classification Using Linear Neighborhood Propagation Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong Wang
ECCV 2006 Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction Fei Wang, Baba C. Vemuri, Anand Rangarajan, Ilona M. Schmalfuss, Stephan J. Eisenschenk
ICCV 2003 Cumulative Residual Entropy, a New Measure of Information & Its Application to Image Alignment Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen