Yong Xu - RankMe

196 papers A* 47A 15B 4C 1Journal 117Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Underwater Image Quality Assessment via Progressive Physics-Aware Multi-Prior Collaboration. IEEE Trans. Circuits Syst. Video Technol. Zihan Zhou, Jiaxue Lan, Yun Liang, Weiwei Cai, Jing Li, Yong Xu, Patrick Le Callet
2026	J	`jnl`	Deep intrinsic image decomposition via physics-aware neural networks. Pattern Recognit. Yan Huang, Kangjie Liu, Tengyue Chen, Yong Xu, Hui Ji
2026	J	`jnl`	Dual perception-aware blind image quality assessment with semantic-distortion integration and dynamic global-local refinement. Displays Yun Liang, Yuting Xiao, Zihan Zhou, Hongyu Wang, Jiabin Zhang, Jing Li, Yong Xu, Patrick Le Callet
2025	J	`jnl`	3DMM-GAN: Multi-Modal Alignment With Adversarial Learning for Compositional 3D Human Image Synthesis. IEEE Trans. Emerg. Top. Comput. Intell. Tianyi Chen, Hongxin Fu, Hao Wang, Yan Huang, Si Wu, Yong Xu, Dapeng Oliver Wu
2025	A	`conf`	Adaptive Illumination Transfer Network for Shadow Removal. ICME Yinan Wang, Si Wu, Yong Xu, Yan Huang, Patrick Le Callet
2025	A*	`conf`	Collaborative Diffusion Models for Recommendation. SIGIR Mengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo
2025	J	`jnl`	Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning. ACM Trans. Knowl. Discov. Data Jiadong Feng, Wei Li, Suhuang Wu, Zhao Wei, Yong Xu, Juhong Wang, Hui Li
2025	J	`jnl`	Detail-Preserving Diffusion Models for Low-Light Image Enhancement. IEEE Trans. Circuits Syst. Video Technol. Yan Huang, Xiaoshan Liao, Jinxiu Liang, Boxin Shi, Yong Xu, Patrick Le Callet
2025	J	`jnl`	E-Net for pansharpening: A super-resolution perspective. Image Vis. Comput. Yifan Wang, Si Wu, Yan Pang, Yong Xu, Yan Huang
2025	J	`jnl`	Enhancing CNN-Based Blind Image Quality Assessment via Deep Cross-Layer Pattern Encoding. IEEE Trans. Multim. Zihan Zhou, Yong Xu, Yuhui Quan, Yun Liang, Jing Li, Patrick Le Callet
2025	J	`jnl`	From Token to Line: Enhancing Code Generation with a Long-Term Perspective. CoRR Tingwei Lu, Yangning Li, Liyuan Wang, Binghuai Lin, Jiwei Tang, Wanshi Xu, Hai-Tao Zheng, Yinghui Li, Bingxu An, Zhao Wei, Yong Xu
2025	A*	`conf`	Ground and Reconstruct: Entity-Region Bidirectional Alignment Pre-Training for Low-Resource GMNER. ACM Multimedia Runwei Situ, Yi Cai, Yong Xu, Jiexin Wang
2025	A	`conf`	IP-KGQA: Intent-Aware Prompt Learning for Knowledge Graph Question Answering. ICME Zheng Dai, Chun Ding, Tianyi Chen, Si Wu, Yong Xu, Runzhe Liang, Tianshi Xu, Yedong Li, Dapeng Wu
2025	J	`jnl`	Image debanding using cross-scale invertible networks with banded deformable convolutions. Neural Networks Yuhui Quan, Xuyi He, Ruotao Xu, Yong Xu, Hui Ji
2025	J	`jnl`	Image shadow removal via multi-scale deep Retinex decomposition. Pattern Recognit. Yan Huang, Xinchang Lu, Yuhui Quan, Yong Xu, Hui Ji
2025	A	`conf`	InpaintFormer: Prompt-guided High-Quality Face Inpainting with Mask-Aware Self-Attention. ICME Zhouhao Ouyang, Wen Xue, Tianyi Chen, Yan Huang, Si Wu, Yong Xu, Patrick Le Callet, Dapeng Oliver Wu
2025	B	`conf`	LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks. COLING Xiang Li, Chen Shi, Yong Xu, Jun Huang
2025	A	`conf`	MixRec: Heterogeneous Graph Collaborative Filtering. WSDM Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang
2025	J	`jnl`	Model Extraction for Image Denoising Networks. IEEE Trans. Inf. Forensics Secur. Huan Teng, Yuhui Quan, Yong Xu, Jun Huang, Hui Ji
2025	A*	`conf`	Prior-Free Augmentation for Cloth-Changing Person Re-Identification. ACM Multimedia Jiajun Zhang, Xin Li, Si Wu, Yong Xu, Yaowei Wang
2025	B	`conf`	Repository-Level Code Smell Detection Based on Multi-Scale Code Information and LLM Assistance. IJCNN Wenjie Liang, Yongqin Zeng, Hai-Tao Zheng, Jiale Wang, Haiye Lin, Hong-Gee Kim, Bingxu An, Zhao Wei, Yong Xu
2025	A	`conf`	Rethinking 3D Robotic Perception: Elastic Voxel Representation with Splatting Distillation. ICME Shaohui Pan, Yong Xu, Ruotao Xu, Zihan Zhou, Si Wu, Zhuliang Yu, Patrick Le Callet
2025	A*	`conf`	RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting. AAAI Wen Xue, Chun Ding, Ruotao Xu, Si Wu, Yong Xu, Hau-San Wong
2025	J	`jnl`	Revisiting Classification Taxonomy for Grammatical Errors. CoRR Deqing Zou, Jingheng Ye, Yulu Liu, Yu Wu, Zishan Xu, Yinghui Li, Hai-Tao Zheng, Bingxu An, Zhao Wei, Yong Xu
2025	A*	`conf`	Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight. AAAI Shaohui Pan, Yong Xu, Ruotao Xu, Zihan Zhou, Si Wu, Zhuliang Yu
2025	A	`conf`	SemanticLoom: Category-aware Dynamic Fusion for Multi-class Few-shot Image Synthesis. ICME Jie Wang, Yan Huang, Yunfei Zhang, Tianyi Chen, Si Wu, Yong Xu, Patrick Le Callet
2025	B	`conf`	SmellDetector: Multi-Label Code Smell Detection and Refactoring with Large Language Models. IJCNN Wenjie Liang, Jiale Wang, Hai-Tao Zheng, Yinghui Li, Haiye Lin, Hong-Gee Kim, Bingxu An, Zhao Wei, Yong Xu
2025	A	`conf`	Text to Trajectory: Enhancing and Evaluating LLMs for Embodied Task Planning. ICME Yihan Tang, Yong Xu, Ruotao Xu, Yan Huang, Si Wu, Patrick Le Callet
2025	J	`jnl`	Urban Computing in the Era of Large Language Models. CoRR Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang
2025	J	`jnl`	Urban Computing in the Era of Large Language Models. ACM Trans. Intell. Syst. Technol. Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang
2025	A*	`conf`	Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models. AAAI Yan Huang, Xiaoshan Liao, Jinxiu Liang, Yuhui Quan, Boxin Shi, Yong Xu
2024	—	`conf`	AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. LREC/COLING Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang
2024	J	`jnl`	AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. CoRR Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin
2024	J	`jnl`	Deep Blind Image Quality Assessment Using Dynamic Neural Model With Dual-Order Statistics. IEEE Trans. Circuits Syst. Video Technol. Zihan Zhou, Jing Li, Dexiang Zhong, Yong Xu, Patrick Le Callet
2024	J	`jnl`	Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning. CoRR Jiadong Feng, Wei Li, Zhao Wei, Yong Xu, Juhong Wang, Hui Li
2024	A*	`conf`	Enhancing Underwater Images via Asymmetric Multi-Scale Invertible Networks. ACM Multimedia Yuhui Quan, Xiaoheng Tan, Yan Huang, Yong Xu, Hui Ji
2024	J	`jnl`	Enhancing texture representation with deep tracing pattern encoding. Pattern Recognit. Zhile Chen, Yuhui Quan, Ruotao Xu, Lianwen Jin, Yong Xu
2024	A*	`conf`	FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. ICML Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2024	J	`jnl`	FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. CoRR Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2024	J	`jnl`	Image Smoothing via Multiscale Global Perception. IEEE Signal Process. Lett. Xuyi He, Yuhui Quan, Yong Xu, Ruotao Xu
2024	J	`jnl`	MixRec: Heterogeneous Graph Collaborative Filtering. CoRR Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang
2024	J	`jnl`	Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
2024	—	`conf`	Multi-view Depth Estimation with Adaptive Feature Extraction and Region-Aware Depth Prediction. PRCV (6) Chi Zhang, Lingyu Liang, Jijun Zhou, Yong Xu
2024	J	`jnl`	Multi-view depth estimation based on multi-feature aggregation for 3D reconstruction. Comput. Graph. Chi Zhang, Lingyu Liang, Jijun Zhou, Yong Xu
2024	—	`conf`	No-Reference Image Quality Assessment Using Local Binary Patterns: A Comprehensive Performance Evaluation. QoEVMA@MM Zihan Zhou, Yong Xu, Xi Wan, Yuhui Quan, Ruotao Xu, Jing Li, Patrick Le Callet
2024	J	`jnl`	OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. CoRR Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang
2024	—	`conf`	PU-SDF: Arbitrary-Scale Uniformly Upsampling Point Clouds via Signed Distance Functions. 3DV Shaohui Pan, Yong Xu, Ruotao Xu
2024	J	`jnl`	Spatial Adaptive Filter Network With Scale-Sharing Convolution for Image Demoiréing. IEEE Signal Process. Lett. Yong Xu, Zhiyu Wei, Ruotao Xu, Zihan Zhou, Zhuliang Yu
2024	A*	`conf`	Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. CVPR FeiFan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong
2024	J	`jnl`	Text-Guided Portrait Image Matting. IEEE Trans. Artif. Intell. Yong Xu, Xin Yao, Baoling Liu, Yuhui Quan, Hui Ji
2024	—	`conf`	The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. ECCV Workshops (7) 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 Sai S. 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
2024	—	`conf`	Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance. ECCV (1) Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling
2024	J	`jnl`	Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance. CoRR Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling
2024	J	`jnl`	Universal Object Detection with Large Vision Model. Int. J. Comput. Vis. Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang
2024	A*	`conf`	UrbanGPT: Spatio-Temporal Large Language Models. KDD Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	J	`jnl`	UrbanGPT: Spatio-Temporal Large Language Models. CoRR Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	A*	`conf`	VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. CVPR Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong
2024	J	`jnl`	View-aligned pixel-level feature aggregation for 3D shape classification. Comput. Vis. Image Underst. Yong Xu, Shaohui Pan, Ruotao Xu, Haibin Ling
2024	A*	`conf`	Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain. NeurIPS Hanyue Lou, Jinxiu (Sherry) Liang, Minggui Teng, Bin Fan, Yong Xu, Boxin Shi
2023	A*	`conf`	Coherent Event Guided Low-Light Video Enhancement. ICCV Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi
2023	A*	`conf`	Disentangled Graph Social Recommendation. ICDE Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
2023	J	`jnl`	Disentangled Graph Social Recommendation. CoRR Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
2023	A*	`conf`	EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery. ASE Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
2023	J	`jnl`	EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery. CoRR Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
2023	A*	`conf`	GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. NeurIPS Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2023	J	`jnl`	GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. CoRR Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2023	A*	`conf`	Graph Transformer for Recommendation. SIGIR Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023	J	`jnl`	Graph Transformer for Recommendation. CoRR Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023	A*	`conf`	Graph-less Collaborative Filtering. WWW Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
2023	J	`jnl`	Graph-less Collaborative Filtering. CoRR Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
2023	A	`conf`	Heterogeneous Graph Contrastive Learning for Recommendation. WSDM Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	J	`jnl`	Heterogeneous Graph Contrastive Learning for Recommendation. CoRR Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	J	`jnl`	Image Desnowing via Deep Invertible Separation. IEEE Trans. Circuits Syst. Video Technol. Yuhui Quan, Xiaoheng Tan, Yan Huang, Yong Xu, Hui Ji
2023	J	`jnl`	Multi-Behavior Graph Neural Networks for Recommender System. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
2023	J	`jnl`	Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
2023	A	`conf`	RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. ISSTA Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
2023	J	`jnl`	RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. CoRR Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji
2023	J	`jnl`	Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble Learning. IEEE Trans. Circuits Syst. Video Technol. Mingqin Chen, Yuhui Quan, Yong Xu, Hui Ji
2022	J	`jnl`	Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. CoRR Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
2022	J	`jnl`	Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. ACM Trans. Inf. Syst. Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
2022	A	`conf`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	J	`jnl`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	A	`conf`	Deep Blind Image Quality Assessment Using Dual-Order Statistics. ICME Zihan Zhou, Yong Xu, Yuhui Quan, Ruotao Xu
2022	A*	`conf`	Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian
2022	J	`jnl`	Fine-Grained Object Classification via Self-Supervised Pose Alignment. CoRR Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian
2022	J	`jnl`	Forecasting traffic flow with spatial-temporal convolutional graph attention networks. Neural Comput. Appl. Xiyue Zhang, Yong Xu, Yizhen Shao
2022	A*	`conf`	Hypergraph Contrastive Collaborative Filtering. SIGIR Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
2022	J	`jnl`	Hypergraph Contrastive Collaborative Filtering. CoRR Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang
2022	J	`jnl`	Million-scale Object Detection with Large Vision Model. CoRR Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang
2022	J	`jnl`	Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2022	J	`jnl`	Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
2022	A*	`conf`	No-Reference Image Quality Assessment Using Dynamic Complex-Valued Neural Model. ACM Multimedia Zihan Zhou, Yong Xu, Ruotao Xu, Yuhui Quan
2022	J	`jnl`	Nonblind Image Deblurring via Deep Learning in Complex Field. IEEE Trans. Neural Networks Learn. Syst. Yuhui Quan, Peikang Lin, Yong Xu, Yuesong Nan, Hui Ji
2022	J	`jnl`	PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis. IEEE Trans. Cybern. Lingyu Liang, Lianwen Jin, Yong Xu
2022	J	`jnl`	Recurrent Exposure Generation for Low-Light Face Detection. IEEE Trans. Multim. Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu
2022	J	`jnl`	Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors. IEEE Trans. Circuits Syst. Video Technol. Jinxiu Liang, Yong Xu, Yuhui Quan, Boxin Shi, Hui Ji
2022	J	`jnl`	Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE Trans. Multim. Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong
2022	A*	`conf`	Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
2022	J	`jnl`	Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
2022	J	`jnl`	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2022	A*	`conf`	SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. CVPR Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong
2022	A*	`conf`	SwinTrack: A Simple and Strong Baseline for Transformer Tracking. NeurIPS Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling
2022	—	`conf`	The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 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 Sai S. 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
2022	J	`jnl`	Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Trans. Multim. Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong
2022	J	`jnl`	Unsupervised Deep Background Matting Using Deep Matte Prior. IEEE Trans. Circuits Syst. Video Technol. Yong Xu, Baoling Liu, Yuhui Quan, Hui Ji
2022	J	`jnl`	Unsupervised knowledge transfer for nonblind image deconvolution. Pattern Recognit. Lett. Zhuojie Chen, Xin Yao, Yong Xu, Junle Wang, Yuhui Quan
2021	J	`jnl`	Attentive deep network for blind motion deblurring on dynamic scenes. Comput. Vis. Image Underst. Yong Xu, Ye Zhu, Yuhui Quan, Hui Ji
2021	A*	`conf`	Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity. CVPR Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji
2021	A*	`conf`	Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong
2021	A*	`conf`	Encoding Spatial Distribution of Convolutional Features for Texture Representation. NeurIPS Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, Yuhui Quan
2021	J	`jnl`	FWB-Net: Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation. CoRR Cong Wang, Yan Huang, Yuexian Zou, Yong Xu
2021	J	`jnl`	Factorized Tensor Dictionary Learning for Visual Tensor Data Completion. IEEE Trans. Multim. Ruotao Xu, Yong Xu, Yuhui Quan
2021	J	`jnl`	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. CoRR Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2021	A*	`conf`	Graph Meta Network for Multi-Behavior Recommendation. SIGIR Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2021	J	`jnl`	Graph Meta Network for Multi-Behavior Recommendation. CoRR Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2021	A*	`conf`	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021	J	`jnl`	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021	J	`jnl`	Hierarchical hashing-based multi-source image retrieval method for image denoising. Appl. Soft Comput. Yan Huang, Zihan Zhou, Xiangyu Sai, Yong Xu, Yuexian Zou
2021	A*	`conf`	Hypergraph Neural Networks for Hypergraph Matching. ICCV Xiaowei Liao, Yong Xu, Haibin Ling
2021	J	`jnl`	Image denoising using complex-valued deep CNN. Pattern Recognit. Yuhui Quan, Yixin Chen, Yizhen Shao, Huan Teng, Yong Xu, Hui Ji
2021	A*	`conf`	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021	J	`jnl`	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021	A*	`conf`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	J	`jnl`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	J	`jnl`	LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. Int. J. Comput. Vis. Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling
2021	J	`jnl`	Mask-guided GAN for robust text editing in the scene. Neurocomputing Boxi Yu, Yong Xu, Yan Huang, Shuai Yang, Jiaying Liu
2021	A*	`conf`	Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2021	J	`jnl`	Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning. IEEE Trans. Image Process. Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan, Haibin Ling
2021	J	`jnl`	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2021	A*	`conf`	Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. ICCV Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong
2021	A	`conf`	Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021	J	`jnl`	Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021	A*	`conf`	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2021	J	`jnl`	Structure-Texture Image Decomposition Using Discriminative Patch Recurrence. IEEE Trans. Image Process. Ruotao Xu, Yong Xu, Yuhui Quan
2021	J	`jnl`	Super-resolving blurry face images with identity preservation. Pattern Recognit. Lett. Yong Xu, Haoyang Zou, Yan Huang, Lianwen Jin, Haibin Ling
2021	J	`jnl`	SwinTrack: A Simple and Strong Baseline for Transformer Tracking. CoRR Liting Lin, Heng Fan, Yong Xu, Haibin Ling
2021	A*	`conf`	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2021	J	`jnl`	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2020	J	`jnl`	Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin
2020	J	`jnl`	Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence. SIAM J. Imaging Sci. Ruotao Xu, Yong Xu, Yuhui Quan, Hui Ji
2020	J	`jnl`	Collaborative Deep Learning for Super-Resolving Blurry Text Images. IEEE Trans. Computational Imaging Yuhui Quan, Jieting Yang, Yixin Chen, Yong Xu, Hui Ji
2020	J	`jnl`	Deep Bilateral Retinex for Low-Light Image Enhancement. CoRR Jinxiu Liang, Yong Xu, Yuhui Quan, Jingwen Wang, Haibin Ling, Hui Ji
2020	J	`jnl`	Full-reference image quality metric for blurry images and compressed images using hybrid dictionary learning. Neural Comput. Appl. Zihan Zhou, Jing Li, Yong Xu, Yuhui Quan
2020	A*	`conf`	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2020	J	`jnl`	Image Denoising via Sequential Ensemble Learning. IEEE Trans. Image Process. Xuhui Yang, Yong Xu, Yuhui Quan, Hui Ji
2020	A	`conf`	Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. ECAI Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo
2020	J	`jnl`	LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. CoRR Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling
2020	A*	`conf`	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2020	J	`jnl`	Recurrent Exposure Generation for Low-Light Face Detection. CoRR Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu
2020	J	`jnl`	Removing Reflection From a Single Image With Ghosting Effect. IEEE Trans. Computational Imaging Yan Huang, Yuhui Quan, Yong Xu, Ruotao Xu, Hui Ji
2020	J	`jnl`	Single-image raindrop removal using concurrent channel-spatial attention and long-short skip connections. Pattern Recognit. Lett. Jiayi Peng, Yong Xu, Tianyi Chen, Yan Huang
2020	A	`conf`	Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. CIKM Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia
2020	—	`conf`	VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. ECCV Workshops (4) 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
2019	A*	`conf`	Adaptive GNN for Image Analysis and Editing. NeurIPS Lingyu Liang, Lianwen Jin, Yong Xu
2019	J	`jnl`	Barzilai-Borwein-based adaptive learning rate for deep learning. Pattern Recognit. Lett. Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, Hui Ji
2019	J	`jnl`	Deeply Exploiting Long-Term View Dependency for 3D Shape Recognition. IEEE Access Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan
2019	J	`jnl`	Exploiting label consistency in structured sparse representation for classification. Neural Comput. Appl. Yan Huang, Yuhui Quan, Tao Liu, Yong Xu
2019	A*	`conf`	LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. CVPR Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling
2019	C	`conf`	Multi-view Rank Pooling for 3D Object Recognition*. VCIP Chaoda Zheng, Yong Xu, Ruotao Xu, Hongyu Chi, Yuhui Quan
2019	J	`jnl`	Privacy-Protective-GAN for Privacy Preserving Face De-Identification. J. Comput. Sci. Technol. Yifan Wu, Fan Yang, Yong Xu, Haibin Ling
2019	J	`jnl`	Tourism scene classification based on multi-stage transfer learning model. Neural Comput. Appl. Tangquan Qi, Yong Xu, Haibin Ling
2018	J	`jnl`	Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Trans. Image Process. Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu
2018	J	`jnl`	Image Cartoon-Texture Decomposition Using Isotropic Patch Recurrence. CoRR Ruotao Xu, Yuhui Quan, Yong Xu
2018	J	`jnl`	LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking. CoRR Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling
2018	J	`jnl`	Metric forests based on Gaussian mixture model for visual image classification. Soft Comput. Yong Xu, Qian Zhang, Lin Wang
2018	J	`jnl`	Semi-Supervised Image Classification With Self-Paced Cross-Task Networks. IEEE Trans. Multim. Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu
2018	J	`jnl`	Uncertain data classification with additive kernel support vector machine. Data Knowl. Eng. Zongxia Xie, Yong Xu, Qinghua Hu
2017	J	`jnl`	Image-based action recognition using hint-enhanced deep neural networks. Neurocomputing Tangquan Qi, Yong Xu, Yuhui Quan, Yaodong Wang, Haibin Ling
2017	J	`jnl`	Spatiotemporal lacunarity spectrum for dynamic texture classification. Comput. Vis. Image Underst. Yuhui Quan, Yuping Sun, Yong Xu
2016	J	`jnl`	Block-based selection random forest for texture classification using multi-fractal spectrum feature. Neural Comput. Appl. Qian Zhang, Yong Xu
2016	A*	`conf`	Sparse Coding for Classification via Discrimination Ensemble. CVPR Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang, Hui Ji
2016	J	`jnl`	Supervised dictionary learning with multiple classifier integration. Pattern Recognit. Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang
2015	A	`conf`	Characterizing dynamic textures with space-time lacunarity analysis. ICME Yuping Sun, Yong Xu, Yuhui Quan
2015	J	`jnl`	Classifying dynamic textures via spatiotemporal fractal analysis. Pattern Recognit. Yong Xu, Yuhui Quan, Zhuming Zhang, Haibin Ling, Hui Ji
2015	J	`jnl`	Directional regularity for visual quality estimation. Signal Process. Delei Liu, Yong Xu, Yuhui Quan, Zhiwen Yu, Patrick Le Callet
2015	J	`jnl`	Discriminative structured dictionary learning with hierarchical group sparsity. Comput. Vis. Image Underst. Yong Xu, Yuping Sun, Yuhui Quan, Bo Zheng
2015	J	`jnl`	Multiple Facial Image Editing Using Edge-Aware PDE Learning. Comput. Graph. Forum Lingyu Liang, Lianwen Jin, Xin Zhang, Yong Xu
2015	A*	`conf`	Removing Rain from a Single Image via Discriminative Sparse Coding. ICCV Yu Luo, Yong Xu, Hui Ji
2015	—	`conf`	Structured Sparse Coding for Classification via Reweighted l 2, 1 Minimization. CCCV (1) Yong Xu, Yuping Sun, Yuhui Quan, Yu Luo
2014	J	`jnl`	A distinct and compact texture descriptor. Image Vis. Comput. Yuhui Quan, Yong Xu, Yuping Sun
2014	A*	`conf`	Lacunarity Analysis on Image Patterns for Texture Classification. CVPR Yuhui Quan, Yong Xu, Yuping Sun, Yu Luo
2014	J	`jnl`	Reduced reference image quality assessment using regularity of phase congruency. Signal Process. Image Commun. Delei Liu, Yong Xu, Yuhui Quan, Patrick Le Callet
2014	J	`jnl`	Sparse Representation for Brain Signal Processing: A tutorial on methods and applications. IEEE Signal Process. Mag. Yuanqing Li, Zhuliang Yu, Ning Bi, Yong Xu, Zhenghui Gu, Shun-ichi Amari
2014	J	`jnl`	Sparse group LASSO based uncertain feature selection. Int. J. Mach. Learn. Cybern. Zongxia Xie, Yong Xu
2013	—	`conf`	An Effective Method of 1-D Bar Code Image Identification. CSE Yong Xu, Yue Yuan, Huabing Dong, Yuhui Quan
2013	J	`jnl`	Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification. IEEE Trans. Image Process. Hui Ji, Xiong Yang, Haibin Ling, Yong Xu
2012	A*	`conf`	Contour-based recognition. CVPR Yong Xu, Yuhui Quan, Zhuming Zhang, Hui Ji, Cornelia Fermüller, Morimichi Nishigaki, Daniel DeMenthon
2012	J	`jnl`	Margin distribution based bagging pruning. Neurocomputing Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu
2012	J	`jnl`	Scale-space texture description on SIFT-like textons. Comput. Vis. Image Underst. Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller
2011	A*	`conf`	Dynamic texture classification using dynamic fractal analysis. ICCV Yong Xu, Yuhui Quan, Haibin Ling, Hui Ji
2011	—	`conf`	Visual Object Recognition with Bagging of One Class Support Vector Machines. IBICA Zongxia Xie, Yong Xu, Qinghua Hu
2010	A*	`conf`	A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid. CVPR Yong Xu, Xiong Yang, Haibin Ling, Hui Ji
2009	A*	`conf`	Combining powerful local and global statistics for texture description. CVPR Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller
2009	B	`conf`	Integrating local feature and global statistics for texture analysis. ICIP Yong Xu, Si-Bin Huang, Hui Ji
2009	J	`jnl`	Viewpoint Invariant Texture Description Using Fractal Analysis. Int. J. Comput. Vis. Yong Xu, Hui Ji, Cornelia Fermüller
2006	—	`conf`	A Projective Invariant for Textures. CVPR (2) Yong Xu, Hui Ji, Cornelia Fermüller