Xu, Yong

65 publications

IJCAI 2025 Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification Zhihao Gong, Lian Wu, Yong Xu

AAAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu

ICML 2025 Ex-VAD: Explainable Fine-Grained Video Anomaly Detection Based on Visual-Language Models Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu, Xiaochun Cao

AAAI 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu

NeurIPS 2025 LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers Liting Lin, Heng Fan, Zhipeng Zhang, Yuqing Huang, Yaowei Wang, Yong Xu, Haibin Ling

ICML 2025 Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer Yabo Liu, Waikeung Wong, Chengliang Liu, Xiaoling Luo, Yong Xu, Jinghua Wang

AAAI 2025 OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision Junjie Wang, Bin Chen, Bin Kang, Yulin Li, Weizhi Xian, Yichi Chen, Yong Xu

AAAI 2025 RetouchGPT: LLM-Based Interactive High-Fidelity Face Retouching via Imperfection Prompting Wen Xue, Chun Ding, Ruotao Xu, Si Wu, Yong Xu, Hau-San Wong

AAAI 2025 Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight Shaohui Pan, Yong Xu, Ruotao Xu, Zihan Zhou, Si Wu, Zhuliang Yu

ICLR 2025 Spectral Compressive Imaging via Unmixing-Driven Subspace Diffusion Refinement Haijin Zeng, Benteng Sun, Yongyong Chen, Jingyong Su, Yong Xu

AAAI 2025 Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models Yan Huang, Xiaoshan Liao, Jinxiu Liang, Yuhui Quan, Boxin Shi, Yong Xu

AAAI 2024 Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu

ICML 2024 Diffusion-Based Missing-View Generation with the Application on Incomplete Multi-View Clustering Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu

ICML 2024 FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

AAAI 2024 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu

ICML 2024 Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang

NeurIPS 2024 MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu

ICML 2024 Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu

CVPR 2024 Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau San Wong

NeurIPSW 2024 Text-to-Audio Generation via Bridging Audio Language Model and Latent Diffusion Zhenyu Wang, Chenxing Li, Yong Xu, Chunlei Zhang, John H. L. Hansen, Dong Yu

ECCVW 2024 The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

ECCV 2024 Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling

CVPR 2024 VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau San Wong

NeurIPS 2024 Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain Hanyue Lou, Jinxiu Liang, Minggui Teng, Bin Fan, Yong Xu, Boxin Shi

CVPR 2023 CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu

ICCV 2023 Coherent Event Guided Low-Light Video Enhancement Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi

AAAI 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

NeurIPS 2023 GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

CVPR 2023 Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu

AAAI 2023 Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu

AAAI 2023 MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu

NeurIPS 2023 Masked Two-Channel Decoupling Framework for Incomplete Multi-View Weak Multi-Label Learning Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu

IJCAI 2022 CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu

CVPR 2022 Fine-Grained Object Classification via Self-Supervised Pose Alignment Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian

CVPR 2022 SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau San Wong

NeurIPS 2022 SwinTrack: A Simple and Strong Baseline for Transformer Tracking Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling

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

CVPR 2021 Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji

AAAI 2021 Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao

NeurIPS 2021 Encoding Spatial Distribution of Convolutional Features for Texture Representation Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, Yuhui Quan

AAAI 2021 Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-Based Recommendation Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang

ICCV 2021 Hypergraph Neural Networks for Hypergraph Matching Xiaowei Liao, Yong Xu, Haibin Ling

AAAI 2021 Knowledge-Aware Coupled Graph Neural Network for Social Recommendation Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye

AAAI 2021 Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo

ICCV 2021 Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Feng Liangbing, Hau San Wong

IJCAI 2021 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen

AAAI 2021 Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

AAAI 2021 Unified Tensor Framework for Incomplete Multi-View Clustering and Missing-View Inferring Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu

IJCAI 2020 CDIMC-Net: Cognitive Deep Incomplete Multi-View Clustering Network Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie

ECCVW 2020 VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiaojun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi

NeurIPS 2019 Adaptive GNN for Image Analysis and Editing Lingyu Liang, LianWen Jin, Yong Xu

IJCAI 2019 Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley

AAAI 2019 Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu

ECCV 2018 Highly-Economized Multi-View Binary Compression for Scalable Image Clustering Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen

ECCVW 2018 Incomplete Multi-View Clustering via Graph Regularized Matrix Factorization Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong

CVPR 2017 Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo

IJCAI 2016 Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks Jingwen Wang, Jianlong Fu, Yong Xu, Tao Mei

CVPR 2016 Sparse Coding for Classification via Discrimination Ensemble Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang, Hui Ji

ICCV 2015 Removing Rain from a Single Image via Discriminative Sparse Coding Yu Luo, Yong Xu, Hui Ji

CVPR 2014 Lacunarity Analysis on Image Patterns for Texture Classification Yuhui Quan, Yong Xu, Yuping Sun, Yu Luo

CVPR 2012 Contour-Based Recognition Yong Xu, Yuhui Quan, Zhuming Zhang, Hui Ji, Cornelia Fermüller, Morimichi Nishigaki, Daniel DeMenthon

ICCV 2011 Dynamic Texture Classification Using Dynamic Fractal Analysis Yong Xu, Yuhui Quan, Haibin Ling, Hui Ji

CVPR 2010 A New Texture Descriptor Using Multifractal Analysis in Multi-Orientation Wavelet Pyramid Yong Xu, Xiong Yang, Haibin Ling, Hui Ji

CVPR 2009 Combining Powerful Local and Global Statistics for Texture Description Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller

CVPR 2006 A Projective Invariant for Textures Yong Xu, Hui Ji, Cornelia Fermüller