Yong Xu - RankMe

434 papers A* 34A 6B 5C 2Misc 2Journal 334Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Fine-Grained Fusion Network for Multimodal UAV Object Detection. IEEE Trans. Image Process. Zhanyan Tang, Zhihao Wu, Mu Li, Jie Wen, Bob Zhang, Yong Xu, Jianqiang Li
2026	J	`jnl`	An Effective Interval Normalization Weighting Method for Accurate Object Detection. IEEE Trans. Syst. Man Cybern. Syst. Shuai Wu, Chunwei Tian, Ruyi Liu, Hang Wei, Yong Xu
2026	J	`jnl`	Causal Interventional Prompt Tuning for Few-Shot Out-of-Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Jie Wen, Yicheng Liu, Chao Huang, Chengliang Liu, Yong Xu, Xiaochun Cao
2026	J	`jnl`	ForensicZip: More Tokens are Better but Not Necessary in Forensic Vision-Language Models. CoRR Yingxin Lai, Zitong Yu, Jun Wan, Linlin Shen, Yong Xu, Xiaochun Cao
2026	A*	`conf`	Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis. AAAI Yuxin Lin, Haoran Li, Haoyu Cao, Yongting Hu, Qihao Xu, Chengliang Liu, Xiaoling Luo, Zhihao Wu, Yong Xu, Wei Wang
2026	J	`jnl`	IMPRESS: Incomplete Human Motion Prediction via Motion Recovery and Structural-Semantic Fusion. IEEE Trans. Image Process. Hao Deng, Jinkai Li, Jinxing Li, Jie Wen, Yong Xu
2026	J	`jnl`	Joint asymmetric discrete hashing for cross-modal retrieval. Pattern Recognit. Jiaxing Li, Lin Jiang, Zuopeng Yang, Xiaozhao Fang, Shengli Xie, Yong Xu
2026	J	`jnl`	LT4Rec: Long-tail contrastive learning for knowledge-enhanced recommendation. Expert Syst. Appl. Cheng Li, Yong Xu, Xin He, Yujun Zhu, Jinde Cao, Qun Fang
2026	J	`jnl`	Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading. CoRR Haoran Li, Yuxin Lin, Huan Wang, Xiaoling Luo, Qi Zhu, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Zongyan Xue, Jun Shen, Yong Xu
2026	J	`jnl`	Long-Tail Inductive Feature Transfer for Knowledge-Aware Multi-Behavior Recommendation. IEEE Trans. Big Data Cheng Li, Yong Xu, Suhua Tang, Weiguo Wang, Xin He, Jinde Cao
2026	J	`jnl`	MatNet : Multi-scale adaptive time series forecasting network with bidirectional collaborative pathways. Expert Syst. Appl. Guangming Zi, Yujun Zhu, Xin He, Yong Xu, Qun Fang
2026	J	`jnl`	Micro-gesture Recognition: A Comprehensive Survey of Datasets, Methods, and Challenges. Mach. Intell. Res. Taorui Wang, Xun Lin, Yong Xu, Qilang Ye, Dan Guo, Sergio Escalera, Ghada Khoriba, Zitong Yu
2026	J	`jnl`	Motif-Guided Multiview Contrastive Learning for Knowledge Graph-Enhanced Recommendation. IEEE Trans. Comput. Soc. Syst. Cheng Li, Yong Xu, Xin He, Yujun Zhu, Jinde Cao, Qun Fang
2026	A*	`conf`	PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning. AAAI Yingjie Ma, Xun Lin, Yong Xu, Weicheng Xie, Zitong Yu
2026	J	`jnl`	Partial Multiview Incomplete Multilabel Learning via Uncertainty-Driven Reliable Dynamic Fusion. IEEE Trans. Pattern Anal. Mach. Intell. Jie Wen, Jiang Long, Xiaohuan Lu, Chengliang Liu, Xiaozhao Fang, Yong Xu
2026	J	`jnl`	PhysNeXt: Next-Generation Dual-Branch Structured Attention Fusion Network for Remote Photoplethysmography Measurement. CoRR Junzhe Cao, Bo Zhao, Zhiyi Niu, Dan Guo, Yue Sun, Haochen Liang, Yong Xu, Zitong Yu
2026	J	`jnl`	TCSR-SQL: Towards Table Content-Aware Text-to-SQL With Self-Retrieval. CAAI Trans. Intell. Technol. Wenbo Xu, Liang Yan, Chuanyi Liu, Peiyi Han, Haifeng Zhu, Yong Xu, Yingwei Liang, Bob Zhang
2026	A*	`conf`	Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating. AAAI Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen
2026	A*	`conf`	Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis. AAAI Qihao Xu, Xiaoling Luo, Yuxin Lin, Chengliang Liu, Yongting Hu, Jinkai Li, Xinheng Lyu, Yong Xu
2026	J	`jnl`	Weakly Supervised Salient Object Detection with Text Supervision. Int. J. Comput. Vis. Zhihao Wu, Jie Wen, Linlin Shen, Xiaopeng Fan, Yong Xu, Jian Yang, David Zhang
2025	J	`jnl`	3D Shape Completion on Unseen Categories: A Weakly-Supervised Approach. IEEE Trans. Vis. Comput. Graph. Lintai Wu, Junhui Hou, Linqi Song, Yong Xu
2025	J	`jnl`	A Collaborative Network of Mamba and CNN for Lightweight Image Super-Resolution. IEEE Trans. Consumer Electron. Xin Wang, Jinxing Li, Jinkai Li, Shiqi Wang, Liang Yan, Yong Xu
2025	—	`conf`	AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion. CCBR Zhishu Liu, Kaishen Yuan, Bo Zhao, Yong Xu, Zitong Yu
2025	J	`jnl`	AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion. CoRR Zhishu Liu, Kaishen Yuan, Bo Zhao, Yong Xu, Zitong Yu
2025	A	`conf`	AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction. ICME Shuaiyu Zhang, Xun Lin, Rongxiang Zhang, Yu Bai, Yong Xu, Tao Tan, Xubin Zheng, Zitong Yu
2025	J	`jnl`	AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction. CoRR Shuaiyu Zhang, Xun Lin, Rongxiang Zhang, Yu Bai, Yong Xu, Tao Tan, Xunbin Zheng, Zitong Yu
2025	J	`jnl`	Adaptive self-correction network for human motion prediction. Appl. Soft Comput. Jinkai Li, Jinghua Wang, Xin Wang, Liang Yan, Xiaoling Luo, Yong Xu
2025	J	`jnl`	Agent4FaceForgery: Multi-Agent LLM Framework for Realistic Face Forgery Detection. CoRR Yingxin Lai, Zitong Yu, Jun Wan, Linlin Shen, Yong Xu, Xiaochun Cao
2025	J	`jnl`	Arbitrary-Scale Point Cloud Upsampling via Enhanced Geometric Spatial Consistency. CAAI Trans. Intell. Technol. Xianjing Cheng, Lintai Wu, Junhui Hou, Zhijun Hu, Jie Wen, Yong Xu
2025	J	`jnl`	Asymmetric and Discrete Self-Representation Enhancement Hashing for Cross-Domain Retrieval. IEEE Trans. Image Process. Jiaxing Li, Lin Jiang, Xiaozhao Fang, Shengli Xie, Yong Xu
2025	J	`jnl`	Caption Assisted Multimodal Large Language Model for Video Moment Retrieval. IEEE Trans. Image Process. Peiyu Xie, Jinxing Li, Guangming Lu, Yong Xu, David Zhang
2025	Misc	`conf`	Component-wise Self-Correction Network for Human Motion Prediction. ICASSP Jinkai Li, Jinghua Wang, Xin Wang, Liang Yan, Yong Xu
2025	—	`conf`	DAGR: DyHGSampler and AdaSGC-Based Knowledge Graph Diffusion for Recommendation. ICIC (8) Chuang Shi, Yong Xu, Cheng Li, Yuru Liu, Qun Fang
2025	J	`jnl`	DONet: Dual-Octave Network for Fast MR Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao
2025	A*	`conf`	Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases. AAAI Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu
2025	J	`jnl`	Deep Multi-View Contrastive Clustering via Graph Structure Awareness. IEEE Trans. Image Process. Lunke Fei, Junlin He, Qi Zhu, Shuping Zhao, Jie Wen, Yong Xu
2025	J	`jnl`	Enhancing recommendation via knowledge transfer contrastive in global path networks. Knowl. Based Syst. Cheng Li, Yong Xu, Xin He, Yujun Zhu, Jinde Cao, Qun Fang
2025	A*	`conf`	Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models. ICML Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu, Xiaochun Cao
2025	A*	`conf`	Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt. AAAI Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu
2025	J	`jnl`	Focus Affinity Perception and Super-Resolution Embedding for Multifocus Image Fusion. IEEE Trans. Neural Networks Learn. Syst. Huafeng Li, Ming Yuan, Jinxing Li, Yu Liu, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang
2025	J	`jnl`	Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection. IEEE Trans. Neural Networks Learn. Syst. Yabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu, Zhihao Wu, Yong Xu
2025	J	`jnl`	From pretraining to privacy: federated ultrasound foundation model with self-supervised learning. npj Digit. Medicine Yuncheng Jiang, Chun-Mei Feng, Jinke Ren, Jun Wei, Zixun Zhang, Yiwen Hu, Yunbi Liu, Rui Sun, Xuemei Tang, Juan Du, Xiang Wan, Yong Xu, Bo Du, Xin Gao, Guangyu Wang, Shaohua Kevin Zhou, Shuguang Cui, Zhen Li
2025	A*	`conf`	Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent. EMNLP Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, Min Zhang
2025	J	`jnl`	Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent. CoRR Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, Min Zhang
2025	—	`conf`	Knowledge-Enhanced Conversational Recommendation via Multi-view Graph Contrastive Learning. ICIC (20) Yuru Liu, Yong Xu, Cheng Li, Chuang Shi, Qun Fang
2025	J	`jnl`	Latitude-oriented hierarchical enhancement network for omnidirectional image super-resolution. Inf. Process. Manag. Xin Wang, Jinkai Li, Jinxing Li, Shiqi Wang, Yong Xu
2025	J	`jnl`	Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. IEEE Trans. Multim. Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu
2025	J	`jnl`	LinkOcc: 3D Semantic Occupancy Prediction With Temporal Association. IEEE Trans. Circuits Syst. Video Technol. Wenzhe Ouyang, Zenglin Xu, Bin Shen, Jinghua Wang, Yong Xu
2025	J	`jnl`	MGRD: Multigranularity Reconstruction Deviation Modeling for Time Series Anomaly Detection. IEEE Trans. Instrum. Meas. Furong Peng, Rongxin Ma, Xuan Lu, Yuhua Qian, Yong Xu, Zhiguo Hu, Hongtao Wu
2025	J	`jnl`	Multi-view diabetic retinopathy grading via cross-view spatial alignment and adaptive vessel reinforcing. Pattern Recognit. Yuxin Lin, Xiaoyan Dou, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Tianyi Luo, Jie Wen, Bingo Wing-Kuen Ling, Yong Xu, Wei Wang
2025	A*	`conf`	Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer. ICML Yabo Liu, Waikeung Wong, Chengliang Liu, Xiaoling Luo, Yong Xu, Jinghua Wang
2025	J	`jnl`	PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning. CoRR Yingjie Ma, Xun Lin, Yong Xu, Weicheng Xie, Zitong Yu
2025	J	`jnl`	PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement. CoRR Bo Zhao, Dan Guo, Junzhe Cao, Yong Xu, Tao Tan, Yue Sun, Bochao Zou, Jie Zhang, Zitong Yu
2025	J	`jnl`	PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models. CoRR Xianjing Cheng, Lintai Wu, Zuowen Wang, Junhui Hou, Jie Wen, Yong Xu
2025	J	`jnl`	PlanePDM: Boundary-aware 3D planar recovery by using parallel dilated mask head. Pattern Recognit. Wenzhe Ouyang, Zenglin Xu, Qianying Zhu, Bin Shen, Yong Xu
2025	J	`jnl`	Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification. IEEE Trans. Pattern Anal. Mach. Intell. Chengliang Liu, Jie Wen, Yong Xu, Bob Zhang, Liqiang Nie, Min Zhang
2025	J	`jnl`	SEER: Knowledge-driven semantic image restoration with vision-language diffusion alignment. Knowl. Based Syst. Shengliang Wu, Jun Jiang, Xin He, Yong Xu, Yujun Zhu, Weiwei Jiang, Heju Li
2025	J	`jnl`	SPS-SQL: Enhancing Text-to-SQL generation on small-scale LLMs with pre-synthesized queries. Pattern Recognit. Lett. Liang Yan, Qichen Wan, Chuanyi Liu, Shaoming Duan, Peiyi Han, Yong Xu
2025	J	`jnl`	Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision. IEEE Trans. Neural Networks Learn. Syst. Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li
2025	A*	`conf`	Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement. ICLR Haijin Zeng, Benteng Sun, Yongyong Chen, Jingyong Su, Yong Xu
2025	A	`conf`	TC-GS: Tri-plane based Compression for 3D Gaussian Splatting. ICME Taorui Wang, Zitong Yu, Yong Xu
2025	J	`jnl`	TC-GS: Tri-plane based compression for 3D Gaussian Splatting. CoRR Taorui Wang, Zitong Yu, Yong Xu
2025	J	`jnl`	Toward Efficient Test Time Adaptation With Hierarchical Distribution Alignment. IEEE Trans. Image Process. Yabo Liu, Chao Huang, Yong Xu, Xiaochun Cao, Jinghua Wang
2025	J	`jnl`	Unsupervised 3D Point Cloud Completion via Multi-View Adversarial Learning. IEEE Trans. Vis. Comput. Graph. Lintai Wu, Xianjing Cheng, Yong Xu, Huanqiang Zeng, Junhui Hou
2025	J	`jnl`	User Hesitation and Negative Transfer in Multi-Behavior Recommendation. CoRR Cheng Li, Yong Xu, Suhua Tang, Wenqiang Lin, Xin He, Jinde Cao
2025	A	`conf`	Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection. ICME Yongting Hu, Yuxin Lin, Chengliang Liu, Xiaoling Luo, Xiaoyan Dou, Qihao Xu, Yong Xu
2025	J	`jnl`	Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection. CoRR Yongting Hu, Yuxin Lin, Chengliang Liu, Xiaoling Luo, Xiaoyan Dou, Qihao Xu, Yong Xu
2025	J	`jnl`	Weakly Supervised Salient Object Detection With Oversize Bounding Box. Int. J. Comput. Vis. Zhihao Wu, Yong Xu, Jian Yang, David Zhang
2024	J	`jnl`	3D Shape Completion on Unseen Categories: A Weakly-supervised Approach. CoRR Lintai Wu, Junhui Hou, Linqi Song, Yong Xu
2024	—	`conf`	A Faster Fire Detection Network with Global Information Awareness. PRCV (12) Jinrong Cui, Haosen Sun, Min Zhao, Ciwei Kuang, Yong Xu
2024	J	`jnl`	A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence. CAAI Trans. Intell. Technol. Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang
2024	J	`jnl`	AMANet: An Adaptive Memory Attention Network for video cloud detection. Pattern Recognit. Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Yong Xu, Xutao Li, Baoquan Zhang
2024	J	`jnl`	AMHGCN: Adaptive multi-level hypergraph convolution network for human motion prediction. Neural Networks Jinkai Li, Jinghua Wang, Lian Wu, Xin Wang, Xiaoling Luo, Yong Xu
2024	A*	`conf`	Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. AAAI Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu
2024	J	`jnl`	CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. CoRR Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie
2024	J	`jnl`	CKDH: CLIP-Based Knowledge Distillation Hashing for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. Jiaxing Li, Wai Keung Wong, Lin Jiang, Xiaozhao Fang, Shengli Xie, Yong Xu
2024	J	`jnl`	CRADA: Cross Domain Object Detection With Cyclic Reconstruction and Decoupling Adaptation. IEEE Trans. Multim. Yabo Liu, Jinghua Wang, Weijia Wang, Yu Hu, Yaowei Wang, Yong Xu
2024	J	`jnl`	Complete Region of Interest for Unconstrained Palmprint Recognition. IEEE Trans. Image Process. Le Su, Lunke Fei, Bob Zhang, Shuping Zhao, Jie Wen, Yong Xu
2024	J	`jnl`	Cross-Modal Vertical Federated Learning for MRI Reconstruction. IEEE J. Biomed. Health Informatics Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng
2024	J	`jnl`	Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. IEEE Trans. Neural Networks Learn. Syst. Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu
2024	A*	`conf`	Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering. ICML Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu
2024	J	`jnl`	Discriminative Regression With Adaptive Graph Diffusion. IEEE Trans. Neural Networks Learn. Syst. Jie Wen, Shijie Deng, Lunke Fei, Zheng Zhang, Bob Zhang, Zhao Zhang, Yong Xu
2024	J	`jnl`	Energy Minimization for IRS-Assisted SWIPT-MEC System. Sensors Shuai Zhang, Yujun Zhu, Meng Mei, Xin He, Yong Xu
2024	J	`jnl`	Enhanced Spatial Feature Learning for Weakly Supervised Object Detection. IEEE Trans. Neural Networks Learn. Syst. Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li, David Zhang
2024	J	`jnl`	Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao
2024	J	`jnl`	Fine-Grained Representation Alignment for Zero-Shot Domain Adaptation. IEEE Trans. Multim. Yabo Liu, Jinghua Wang, Sheng-hua Zhong, Lianyang Ma, Yong Xu
2024	J	`jnl`	Geometric prior guided hybrid deep neural network for facial beauty analysis. CAAI Trans. Intell. Technol. Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang
2024	J	`jnl`	Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. Jie Wen, Gehui Xu, Zhanyan Tang, Wei Wang, Lunke Fei, Yong Xu
2024	A*	`conf`	HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. AAAI Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu
2024	J	`jnl`	ISFB-GAN: Interpretable semantic face beautification with generative adversarial network. Expert Syst. Appl. Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, Yuan Xie, Yahan Sun, David Zhang
2024	J	`jnl`	Information Recovery-Driven Deep Incomplete Multiview Clustering Network. IEEE Trans. Neural Networks Learn. Syst. Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu
2024	J	`jnl`	LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics. IEEE Trans. Geosci. Remote. Sens. Chen Luo, Shanshan Feng, Huaibin Wang, Baoquan Zhang, Pengjuan Yao, Chuyao Luo, Yunming Ye, Yong Xu, Xutao Li, Hao Fang
2024	J	`jnl`	LMEye: An Interactive Perception Network for Large Language Models. IEEE Trans. Multim. Yunxin Li, Baotian Hu, Xinyu Chen, Lin Ma, Yong Xu, Min Zhang
2024	A*	`conf`	Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition. ICML Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang
2024	J	`jnl`	Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression. IEEE Trans. Image Process. Mu Li, Youneng Bao, Xiaohang Sui, Jinxing Li, Guangming Lu, Yong Xu
2024	J	`jnl`	Learning With Noisy Labels by Semantic and Feature Space Collaboration. IEEE Trans. Circuits Syst. Video Technol. Han Lin, Yingjian Li, Zheng Zhang, Lei Zhu, Yong Xu
2024	J	`jnl`	MLFA: Toward Realistic Test Time Adaptive Object Detection by Multi-Level Feature Alignment. IEEE Trans. Image Process. Yabo Liu, Jinghua Wang, Chao Huang, Yiling Wu, Yong Xu, Xiaochun Cao
2024	A*	`conf`	MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging. NeurIPS Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu
2024	J	`jnl`	MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging. CoRR Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu
2024	J	`jnl`	Mask-guided multiscale feature aggregation network for hand gesture recognition. Pattern Recognit. Hao Liang, Lunke Fei, Shuping Zhao, Jie Wen, Shaohua Teng, Yong Xu
2024	J	`jnl`	Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. CoRR Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu
2024	J	`jnl`	Misclassification in Weakly Supervised Object Detection. IEEE Trans. Image Process. Zhihao Wu, Yong Xu, Jian Yang, Xuelong Li
2024	J	`jnl`	MixingMask: A contour-aware approach for joint object detection and instance segmentation. Pattern Recognit. Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu
2024	J	`jnl`	Multi-Contrast Complementary Learning for Accelerated MR Imaging. IEEE J. Biomed. Health Informatics Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu
2024	J	`jnl`	Multi-view Instance Attention Fusion Network for classification. Inf. Fusion Jinxing Li, Chuhao Zhou, Xiaoqiang Ji, Mu Li, Guangming Lu, Yong Xu, David Zhang
2024	J	`jnl`	NRMG: News Recommendation With Multiview Graph Convolutional Networks. IEEE Trans. Comput. Soc. Syst. Bao Chen, Yong Xu, Jingru Zhen, Xin He, Qun Fang, Jinde Cao
2024	J	`jnl`	Omnidirectional image super-resolution via position attention network. Neural Networks Xin Wang, Shiqi Wang, Jinxing Li, Mu Li, Jinkai Li, Yong Xu
2024	A*	`conf`	Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. ICML Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu
2024	J	`jnl`	Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence. CoRR Yuncheng Jiang, Chun-Mei Feng, Jinke Ren, Jun Wei, Zixun Zhang, Yiwen Hu, Yunbi Liu, Rui Sun, Xuemei Tang, Juan Du, Xiang Wan, Yong Xu, Bo Du, Xin Gao, Guangyu Wang, Shaohua Zhou, Shuguang Cui, Rick Siow Mong Goh, Yong Liu, Zhen Li
2024	J	`jnl`	Projective Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu
2024	J	`jnl`	Self-supervised 3D Point Cloud Completion via Multi-view Adversarial Learning. CoRR Lintai Wu, Xianjing Cheng, Junhui Hou, Yong Xu, Huanqiang Zeng
2024	—	`conf`	Unsupervised Sign Language Translation and Generation. ACL (Findings) Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang
2024	J	`jnl`	Unsupervised Sign Language Translation and Generation. CoRR Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang
2024	J	`jnl`	Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network. IEEE Trans. Circuits Syst. Video Technol. Lian Wu, Chao Huang, Lunke Fei, Shuping Zhao, Jianchuan Zhao, Zhongwei Cui, Yong Xu
2024	J	`jnl`	Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. IEEE Trans. Cybern. Chao Huang, Chengliang Liu, Jie Wen, Lian Wu, Yong Xu, Qiuping Jiang, Yaowei Wang
2023	J	`jnl`	A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang
2023	—	`conf`	A New GNSS/INS Navigation Scheme Using Integrated Particle Filter and Extended Kalman Filter. SmartIoT Yinyin Fang, Xin He, Yong Xu, Qingqing Luo, Kunkun Rui
2023	J	`jnl`	A Survey on Incomplete Multiview Clustering. IEEE Trans. Syst. Man Cybern. Syst. Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li
2023	J	`jnl`	A Two-Level Rectification Attention Network for Scene Text Recognition. IEEE Trans. Multim. Lintai Wu, Yong Xu, Junhui Hou, C. L. Philip Chen, Cheng-Lin Liu
2023	J	`jnl`	A human-like action learning process: Progressive pose generation for motion prediction. Knowl. Based Syst. Jinkai Li, Jinghua Wang, Ciwei Kuang, Lian Wu, Xin Wang, Yong Xu
2023	A*	`conf`	CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection. CVPR Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu
2023	J	`jnl`	Class-guided human motion prediction via multi-spatial-temporal supervision. Neural Comput. Appl. Jinkai Li, Honghu Pan, Lian Wu, Chao Huang, Xiaoling Luo, Yong Xu
2023	J	`jnl`	Collaborative representation induced broad learning model for classification. Appl. Intell. Qi Zhang, Jianhang Zhou, Yong Xu, Bob Zhang
2023	J	`jnl`	Cross-Modal Vertical Federated Learning for MRI Reconstruction. CoRR Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng
2023	A*	`conf`	DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. AAAI Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu
2023	J	`jnl`	DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. CoRR Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu
2023	J	`jnl`	From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection. IEEE Trans. Image Process. Jinxing Li, Beicheng Liang, Xiangwei Lu, Mu Li, Guangming Lu, Yong Xu
2023	A*	`conf`	Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. CVPR Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu
2023	A*	`conf`	Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. AAAI Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu
2023	J	`jnl`	Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. CoRR Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu
2023	J	`jnl`	Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. CoRR Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu
2023	J	`jnl`	Joint Augmented and Compressed Dictionaries for Robust Image Classification. ACM Trans. Multim. Comput. Commun. Appl. Shaoning Zeng, Yunbo Rao, Bob Zhang, Yong Xu
2023	J	`jnl`	Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang
2023	J	`jnl`	Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition. IEEE Trans. Syst. Man Cybern. Syst. Lunke Fei, Wai Keung Wong, Shuping Zhao, Jie Wen, Jian Zhu, Yong Xu
2023	J	`jnl`	Learning efficient facial landmark model for human attractiveness analysis. Pattern Recognit. Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang
2023	J	`jnl`	Localized Sparse Incomplete Multi-View Clustering. IEEE Trans. Multim. Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang
2023	A*	`conf`	Localized and Balanced Efficient Incomplete Multi-view Clustering. ACM Multimedia Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu
2023	A*	`conf`	MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. AAAI Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu
2023	A*	`conf`	Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. NeurIPS Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu
2023	J	`jnl`	Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu
2023	J	`jnl`	Multiple Instance Detection Networks With Adaptive Instance Refinement. IEEE Trans. Multim. Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, David Zhang
2023	J	`jnl`	NuWa: off-state tolerant backscattering system with uncontrolled excitation traffics. J. Cloud Comput. Zhiyi Yang, Xin He, Guiping Lin, Weiwei Jiang, Yujun Zhu, Jianfeng Sun, Yong Xu, Panlong Yang
2023	J	`jnl`	PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing. IEEE ACM Trans. Comput. Biol. Bioinform. Ke Yan, Hongwu Lv, Jie Wen, Yichen Guo, Yong Xu, Bin Liu
2023	J	`jnl`	RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy. Comput. Biol. Medicine Xiaoling Luo, Honggang Zhang, Jingyong Su, Wai Keung Wong, Jinkai Li, Yong Xu
2023	J	`jnl`	Robust fall detection in video surveillance based on weakly supervised learning. Neural Networks Lian Wu, Chao Huang, Shuping Zhao, Jinkai Li, Jianchuan Zhao, Zhongwei Cui, Zhen Yu, Yong Xu, Min Zhang
2023	J	`jnl`	Salient and consensus representation learning based incomplete multiview clustering. Appl. Intell. Shuping Zhao, Zhongwei Cui, Lian Wu, Yong Xu, Yu Zuo, Lunke Fei
2023	J	`jnl`	Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. IEEE Trans. Image Process. Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li
2023	J	`jnl`	Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Chao Huang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang, David Zhang
2023	J	`jnl`	Single image denoising with a feature-enhanced network. Neural Networks Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu
2023	J	`jnl`	Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu
2023	J	`jnl`	TRCDNet: A Transformer Network for Video Cloud Detection. IEEE Trans. Geosci. Remote. Sens. Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Xutao Li, Yong Xu, Baoquan Zhang, Zhihao Chen
2023	J	`jnl`	Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network. IEEE Trans. Neural Networks Learn. Syst. Lunke Fei, Shuping Zhao, Wei Jia, Bob Zhang, Jie Wen, Yong Xu
2023	J	`jnl`	Two-view attention-guided convolutional neural network for mammographic image classification. CAAI Trans. Intell. Technol. Lilei Sun, Jie Wen, Junqian Wang, Yong Zhao, Bob Zhang, Jian Wu, Yong Xu
2023	J	`jnl`	Vehicle re-identification based on keypoint segmentation of original image. Appl. Intell. Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Xian Jing Cheng, Lilei Sun, Lian Wu
2023	A*	`conf`	Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction. ACM Multimedia Chuhao Zhou, Jinxing Li, Huafeng Li, Guangming Lu, Yong Xu, Min Zhang
2023	J	`jnl`	Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang
2022	J	`jnl`	A Survey on Incomplete Multi-view Clustering. CoRR Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li
2022	J	`jnl`	Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System. IEEE Trans. Ind. Informatics Chao Huang, Zhihao Wu, Jie Wen, Yong Xu, Qiuping Jiang, Yaowei Wang
2022	J	`jnl`	Asymmetric CNN for Image Superresolution. IEEE Trans. Syst. Man Cybern. Syst. Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang
2022	J	`jnl`	Breast mass classification based on supervised contrastive learning and multi-view consistency penalty on mammography. IET Biom. Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu
2022	J	`jnl`	Cross-Domain Recognition via Projective Cross-Reconstruction. IEEE Trans. Syst. Man Cybern. Syst. Xiaozhao Fang, Lin Jiang, Na Han, Weijun Sun, Yong Xu, Shengli Xie
2022	Misc	`conf`	Deep Object Detection with Example Attribute Based Prediction Modulation. ICASSP Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu
2022	J	`jnl`	Deformable Template Network (DTN) for Object Detection. IEEE Trans. Multim. Shuai Wu, Yong Xu, Bob Zhang, Jian Yang, David Zhang
2022	J	`jnl`	Dual Distance Center Loss: The Improved Center Loss That Can Run Without the Combination of Softmax Loss, an Application for Vehicle Re-Identification and Person Re-Identification. IEEE Trans. Comput. Soc. Syst. Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Guanghai Liu, Jie Wen, Lilei Sun, Lian Wu, Xian Jing Cheng
2022	J	`jnl`	Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. Xiaozhao Fang, Na Han, Guoxu Zhou, Shaohua Teng, Yong Xu, Shengli Xie
2022	J	`jnl`	Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification. CoRR Zhijun Hu, Yong Xu, Jie Wen, Xian Jing Cheng, Zaijun Zhang, Lilei Sun, Yaowei Wang
2022	A*	`conf`	Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. ACM Multimedia Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang
2022	J	`jnl`	Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval. IEEE Trans. Image Process. Jianyang Qin, Lunke Fei, Zheng Zhang, Jie Wen, Yong Xu, David Zhang
2022	J	`jnl`	Jointly Heterogeneous Palmprint Discriminant Feature Learning. IEEE Trans. Neural Networks Learn. Syst. Lunke Fei, Bob Zhang, Yong Xu, Chunwei Tian, Imad Rida, David Zhang
2022	J	`jnl`	Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. CoRR Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu
2022	J	`jnl`	Local expansion moves for stereo matching based on random sample consensus confidence. J. Electronic Imaging Haiwei Sang, Zuliu Yang, Yong Xu, Xianjing Cheng, Weicheng Xiong, Yong Zhao
2022	J	`jnl`	Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction. Pattern Recognit. Xiaohuan Lu, Jiang Long, Jie Wen, Lunke Fei, Bob Zhang, Yong Xu
2022	J	`jnl`	Localized Sparse Incomplete Multi-view Clustering. CoRR Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu
2022	—	`conf`	Multi-view Click-through Rate Prediction based on Multi-layer Deep Interest Network. CCRIS Yong Xu, Jingru Zhen, Bao Chen, Qun Fang, Yujun Zhu, Xin He
2022	A*	`conf`	Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. ACM Multimedia Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu
2022	J	`jnl`	Prompt-driven efficient Open-set Semi-supervised Learning. CoRR Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang
2022	J	`jnl`	Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification. IEEE Trans. Cybern. Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu
2022	J	`jnl`	Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection. IEEE Trans. Cybern. Chao Huang, Zehua Yang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang
2022	J	`jnl`	Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. IEEE Signal Process. Lett. Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu
2021	J	`jnl`	Accelerated Multi-Modal MR Imaging with Transformers. CoRR Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao
2021	J	`jnl`	Adaptive Graph Completion Based Incomplete Multi-View Clustering. IEEE Trans. Multim. Jie Wen, Ke Yan, Zheng Zhang, Yong Xu, Junqian Wang, Lunke Fei, Bob Zhang
2021	J	`jnl`	Asymmetric CNN for image super-resolution. CoRR Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang
2021	J	`jnl`	Asymmetric Gaussian Process multi-view learning for visual classification. Inf. Fusion Jinxing Li, Zhaoqun Li, Guangming Lu, Yong Xu, Bob Zhang, David Zhang
2021	J	`jnl`	Brain MRI super-resolution using coupled-projection residual network. Neurocomputing Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Xuelong Li
2021	J	`jnl`	Coarse-to-Fine CNN for Image Super-Resolution. IEEE Trans. Multim. Chunwei Tian, Yong Xu, Wangmeng Zuo, Bob Zhang, Lunke Fei, Chia-Wen Lin
2021	J	`jnl`	Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu
2021	J	`jnl`	DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao
2021	J	`jnl`	Designing and training of a dual CNN for image denoising. Knowl. Based Syst. Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang
2021	A*	`conf`	Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao
2021	J	`jnl`	Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao
2021	J	`jnl`	Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification. CoRR Huafeng Li, Kaixiong Xu, Jinxing Li, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang
2021	J	`jnl`	Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao
2021	J	`jnl`	Fast and Robust Dictionary-based Classification for Image Data. ACM Trans. Knowl. Discov. Data Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu, Wei Huang
2021	J	`jnl`	Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance. IEEE Trans. Neural Networks Learn. Syst. Jinxing Li, Bob Zhang, Guangming Lu, Yong Xu, Feng Wu, David Zhang
2021	J	`jnl`	Illuminance Compensation and Texture Enhancement via the Hodge Decomposition. IEEE Trans. Circuits Syst. Video Technol. Jian Wu, Bob Zhang, Yong Xu, David Zhang
2021	J	`jnl`	Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection. IEEE Trans. Image Process. Jinxing Li, Dandan Fan, Lingxiao Yang, Shuhang Gu, Guangming Lu, Yong Xu, David Zhang
2021	J	`jnl`	MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling. Neurocomputing Ke Yan, Jie Wen, Yong Xu, Bin Liu
2021	J	`jnl`	MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms. Pattern Recognit. Xiaoling Luo, Zuhui Pu, Yong Xu, Wai Keung Wong, Jingyong Su, Xiaoyan Dou, Baikang Ye, Jiying Hu, Lisha Mou
2021	J	`jnl`	Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network. CoRR Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu
2021	—	`conf`	Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. MICCAI (6) Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu
2021	J	`jnl`	Multi-modal Aggregation Network for Fast MR Imaging. CoRR Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang
2021	J	`jnl`	MultiFace: A generic training mechanism for boosting face recognition performance. Neurocomputing Jing Xu, Tszhang Guo, Yong Xu, Zenglin Xu, Kun Bai
2021	J	`jnl`	Online Learning-Based Multi-Stage Complexity Control for Live Video Coding. IEEE Trans. Image Process. Chao Huang, Zongju Peng, Yong Xu, Fen Chen, Qiuping Jiang, Yun Zhang, Gangyi Jiang, Yo-Sung Ho
2021	J	`jnl`	Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model. IEEE ACM Trans. Comput. Biol. Bioinform. Ke Yan, Jie Wen, Yong Xu, Bin Liu
2021	J	`jnl`	Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu
2021	J	`jnl`	Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao
2021	A	`conf`	Structural Deep Incomplete Multi-view Clustering Network. CIKM Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu
2021	A*	`conf`	Targeted Attack and Defense for Deep Hashing. SIGIR Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu
2021	—	`conf`	Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. MICCAI (6) Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu
2021	J	`jnl`	Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. CoRR Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu
2021	J	`jnl`	Triple-Type Feature Extraction for Palmprint Recognition. Sensors Lian Wu, Yong Xu, Zhongwei Cui, Yu Zuo, Shuping Zhao, Lunke Fei
2021	A*	`conf`	Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. AAAI Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu
2021	J	`jnl`	iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank. Bioinform. Hang Wei, Yong Xu, Bin Liu
2021	J	`jnl`	iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning. Briefings Bioinform. Hang Wei, Yong Xu, Bin Liu
2020	J	`jnl`	Attention-guided CNN for image denoising. Neural Networks Chunwei Tian, Yong Xu, Zuoyong Li, Wangmeng Zuo, Lunke Fei, Hong Liu
2020	A*	`conf`	CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. IJCAI Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie
2020	A*	`conf`	DIMC-net: Deep Incomplete Multi-view Clustering Network. ACM Multimedia Jie Wen, Zheng Zhang, Zhao Zhang, Zhihao Wu, Lunke Fei, Yong Xu, Bob Zhang
2020	J	`jnl`	DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion. IEEE Trans. Image Process. Jinxing Li, Xiaobao Guo, Guangming Lu, Bob Zhang, Yong Xu, Feng Wu, David Zhang
2020	J	`jnl`	DSN: A New Deformable Subnetwork for Object Detection. IEEE Trans. Circuits Syst. Video Technol. Shuai Wu, Yong Xu
2020	A	`conf`	Dedge-AGMNet: An Effective Stereo Matching Network Optimized by Depth Edge Auxiliary Task. ECAI Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu, Yong Zhao
2020	J	`jnl`	Deep learning on image denoising: An overview. Neural Networks Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin
2020	J	`jnl`	Designing and Training of A Dual CNN for Image Denoising. CoRR Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang
2020	J	`jnl`	Double Relaxed Regression for Image Classification. IEEE Trans. Circuits Syst. Video Technol. Na Han, Jigang Wu, Xiaozhao Fang, Wai Keung Wong, Yong Xu, Jian Yang, Xuelong Li
2020	J	`jnl`	Image decomposition based matrix regression with applications to robust face recognition. Pattern Recognit. Jianjun Qian, Jian Yang, Yong Xu, Jin Xie, Zhihui Lai, Bob Zhang
2020	J	`jnl`	Image denoising using deep CNN with batch renormalization. Neural Networks Chunwei Tian, Yong Xu, Wangmeng Zuo
2020	J	`jnl`	Improving Whole-Heart CT Image Segmentation by Attention Mechanism. IEEE Access Wei Wang, Chengqin Ye, Shanzhuo Zhang, Yong Xu, Kuanquan Wang
2020	J	`jnl`	Incomplete Multiview Spectral Clustering With Adaptive Graph Learning. IEEE Trans. Cybern. Jie Wen, Yong Xu, Hong Liu
2020	J	`jnl`	Lightweight image super-resolution with enhanced CNN. CoRR Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin
2020	J	`jnl`	Lightweight image super-resolution with enhanced CNN. Knowl. Based Syst. Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Lin
2020	J	`jnl`	Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition. IEEE Trans. Circuits Syst. Video Technol. Lunke Fei, Bob Zhang, Yong Xu, Di Huang, Wei Jia, Jie Wen
2020	J	`jnl`	Pixel re-representations for better classification of images. Pattern Recognit. Lett. Junqian Wang, Hanyu Zhang, Peiyi Han, Chuanyi Liu, Yong Xu
2020	J	`jnl`	Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching. IEEE Trans. Neural Networks Learn. Syst. Jinxing Li, Bob Zhang, Guangming Lu, Jane You, Yong Xu, Feng Wu, David Zhang
2020	J	`jnl`	Tongue Image Alignment via Conformal Mapping for Disease Detection. IEEE Access Jian Wu, Bob Zhang, Yong Xu, David Zhang
2020	J	`jnl`	Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Multim. Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo
2020	—	`conf`	Writing in the air: Recognize Letters Using Deep Learning Through WiFi Signals. BigCom Yinyin Fang, Yong Xu, Heju Li, Xin He, Longlong Kang
2019	J	`jnl`	A Local Mean Representation-based ACM Trans. Intell. Syst. Technol. Jianping Gou, Wenmo Qiu, Zhang Yi, Yong Xu, Qirong Mao, Yongzhao Zhan
2019	J	`jnl`	A general moving detection method using dual-target nonparametric background model. Knowl. Based Syst. Zuofeng Zhong, Jiajun Wen, Bob Zhang, Yong Xu
2019	—	`conf`	Arrhythmogenic Mechanism of the Enhanced Late Sodium Current in Human Ventricular Myocytes - a Simulation Study. CinC Wei Wang, Shanzhuo Zhang, Yong Xu, Kuanquan Wang, Henggui Zhang
2019	J	`jnl`	Automatic Face Recognition Based on Sparse Representation and Extended Transfer Learning. IEEE Access Zhi Liu, Dongmei Jiang, Yujun Li, Yankun Cao, Mingyu Wang, Yong Xu
2019	J	`jnl`	Combining dissimilarity measures for image classification. Pattern Recognit. Lett. Chuanyi Liu, Junqian Wang, Shaoming Duan, Yong Xu
2019	J	`jnl`	Coupled-Projection Residual Network for MRI Super-Resolution. CoRR Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao
2019	J	`jnl`	Deep Learning on Image Denoising: An overview. CoRR Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, Wangmeng Zuo, Chia-Wen Lin
2019	—	`conf`	Deep Residual Equivariant Mapping for Multi-angle Face Recognition. CCBR Wei Liu, Lintai Wu, Yong Xu, Dan Wang
2019	J	`jnl`	Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
2019	J	`jnl`	Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
2019	J	`jnl`	Enhanced CNN for image denoising. CAAI Trans. Intell. Technol. Chunwei Tian, Yong Xu, Lunke Fei, Junqian Wang, Jie Wen, Nan Luo
2019	J	`jnl`	Learning Discriminant Direction Binary Palmprint Descriptor. IEEE Trans. Image Process. Lunke Fei, Bob Zhang, Yong Xu, Zhenhua Guo, Jie Wen, Wei Jia
2019	J	`jnl`	Multi-View Convolutional Neural Networks for Mammographic Image Classification. IEEE Access Lilei Sun, Junqian Wang, Zhijun Hu, Yong Xu, Zhongwei Cui
2019	J	`jnl`	Multi-resolution dictionary learning for face recognition. Pattern Recognit. Xiaoling Luo, Yong Xu, Jian Yang
2019	J	`jnl`	Multiple vector representations of images and robust dictionary learning. Pattern Recognit. Lett. Yong Xu, Zhengming Li, Chunwei Tian, Jian Yang
2019	J	`jnl`	Nesting-structured nuclear norm minimization for spatially correlated matrix variate. Pattern Recognit. Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang
2019	J	`jnl`	PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang
2019	J	`jnl`	Precision direction and compact surface type representation for 3D palmprint identification. Pattern Recognit. Lunke Fei, Bob Zhang, Yong Xu, Wei Jia, Jie Wen, Jigang Wu
2019	J	`jnl`	Protein fold recognition based on multi-view modeling. Bioinform. Ke Yan, Xiaozhao Fang, Yong Xu, Bin Liu
2019	J	`jnl`	Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. CoRR Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang
2019	J	`jnl`	Robust Sparse Linear Discriminant Analysis. IEEE Trans. Circuits Syst. Video Technol. Jie Wen, Xiaozhao Fang, Jinrong Cui, Lunke Fei, Ke Yan, Yan Chen, Yong Xu
2019	J	`jnl`	Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
2019	J	`jnl`	Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
2019	J	`jnl`	The asymptotic profile of a dengue fever model on a periodically evolving domain. Appl. Math. Comput. Min Zhu, Yong Xu, Jinde Cao
2019	J	`jnl`	Tongue image segmentation via color decomposition and thresholding. Concurr. Comput. Pract. Exp. Zuoyong Li, Zhaochai Yu, Weixia Liu, Yong Xu, Daoqiang Zhang, Yong Cheng
2019	A*	`conf`	Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. AAAI Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu
2018	J	`jnl`	Adaptive weighted nonnegative low-rank representation. Pattern Recognit. Jie Wen, Bob Zhang, Yong Xu, Jian Yang, Na Han
2018	J	`jnl`	Approximate Low-Rank Projection Learning for Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. Xiaozhao Fang, Na Han, Jigang Wu, Yong Xu, Jian Yang, Wai Keung Wong, Xuelong Li
2018	A*	`conf`	Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning. CVPR Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu, Yong Xu
2018	J	`jnl`	Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning. CoRR Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu, Yong Xu
2018	—	`conf`	Deep Learning for Image Denoising: A Survey. ICGEC Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan
2018	J	`jnl`	Deep Learning for Image Denoising: A Survey. CoRR Chunwei Tian, Yong Xu, Lunke Fei, Ke Yan
2018	J	`jnl`	Discriminative Block-Diagonal Representation Learning for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. Zheng Zhang, Yong Xu, Ling Shao, Jian Yang
2018	J	`jnl`	Discriminative and Robust Competitive Code for Palmprint Recognition. IEEE Trans. Syst. Man Cybern. Syst. Yong Xu, Lunke Fei, Jie Wen, David Zhang
2018	J	`jnl`	Enhanced CNN for image denoising. CoRR Chunwei Tian, Yong Xu, Junqian Wang, Nan Luo, Haizhang Zou
2018	J	`jnl`	Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. CoRR Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen
2018	—	`conf`	Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. ECCV (12) Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen
2018	—	`conf`	Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. ECCV Workshops (4) Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong
2018	J	`jnl`	Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. CoRR Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong
2018	J	`jnl`	Inter-class sparsity based discriminative least square regression. Neural Networks Jie Wen, Yong Xu, Zuoyong Li, Zhongli Ma, Yuanrong Xu
2018	J	`jnl`	Low-rank representation with adaptive graph regularization. Neural Networks Jie Wen, Xiaozhao Fang, Yong Xu, Chunwei Tian, Lunke Fei
2018	J	`jnl`	Marginal Representation Learning With Graph Structure Self-Adaptation. IEEE Trans. Neural Networks Learn. Syst. Zheng Zhang, Ling Shao, Yong Xu, Li Liu, Jian Yang
2018	J	`jnl`	Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification. Pattern Recognit. Cairong Zhao, Xuekuan Wang, Duoqian Miao, Hanli Wang, Wei-Shi Zheng, Yong Xu, David Zhang
2018	J	`jnl`	Multi-level image representation for large-scale image-based instance retrieval. CAAI Trans. Intell. Technol. Qili Deng, Shuai Wu, Jie Wen, Yong Xu
2018	J	`jnl`	Regularized Label Relaxation Linear Regression. IEEE Trans. Neural Networks Learn. Syst. Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong, Bingwu Fang
2018	J	`jnl`	Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu
2018	J	`jnl`	Robust Discriminant Regression for Feature Extraction. IEEE Trans. Cybern. Zhihui Lai, Dongmei Mo, Wai Keung Wong, Yong Xu, Duoqian Miao, David Zhang
2018	—	`conf`	Supervised Group Sparse Representation via Intra-class Low-Rank Constraint. CCBR Peipei Kang, Xiaozhao Fang, Wei Zhang, Shaohua Teng, Lunke Fei, Yong Xu, Yubao Zheng
2018	J	`jnl`	Two-phase linear reconstruction measure-based classification for face recognition. Inf. Sci. Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan
2017	J	`jnl`	A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification. IEEE Trans. Neural Networks Learn. Syst. Zhengming Li, Zhihui Lai, Yong Xu, Jian Yang, David Zhang
2017	J	`jnl`	A New Discriminative Sparse Representation Method for Robust Face Recognition via l IEEE Trans. Neural Networks Learn. Syst. Yong Xu, Zuofeng Zhong, Jian Yang, Jane You, David Zhang
2017	J	`jnl`	A Survey of Dictionary Learning Algorithms for Face Recognition. IEEE Access Yong Xu, Zhengming Li, Jian Yang, David Zhang
2017	J	`jnl`	A joint-L Neurocomputing Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu
2017	J	`jnl`	An Adaptive Background Modeling Method for Foreground Segmentation. IEEE Trans. Intell. Transp. Syst. Zuofeng Zhong, Bob Zhang, Guangming Lu, Yong Zhao, Yong Xu
2017	J	`jnl`	Background modelling using discriminative motion representation. IET Comput. Vis. Zuofeng Zhong, Yong Xu, Zuoyong Li, Yinnan Zhao
2017	—	`ed.`	Biometric Recognition - 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings CCBR Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu
2017	—	`conf`	Combining Enhanced Competitive Code with Compacted ST for 3D Palmprint Recognition. ACPR Lunke Fei, Shaohua Teng, Jigang Wu, Yong Xu, Jie Wen, Chunwei Tian
2017	J	`jnl`	Correcting Instrumental Variation and Time-Varying Drift Using Parallel and Serial Multitask Learning. IEEE Trans. Instrum. Meas. Ke Yan, David Zhang, Yong Xu
2017	J	`jnl`	Discriminative Block-Diagonal Representation Learning for Image Recognition. CoRR Zheng Zhang, Yong Xu, Ling Shao, Jian Yang
2017	J	`jnl`	Discriminative Elastic-Net Regularized Linear Regression. IEEE Trans. Image Process. Zheng Zhang, Zhihui Lai, Yong Xu, Ling Shao, Jian Wu, Guo-Sen Xie
2017	—	`conf`	Enlarging Effective Receptive Field of Convolutional Neural Networks for Better Semantic Segmentation. ACPR Yifan Gu, Zuofeng Zhong, Shuai Wu, Yong Xu
2017	—	`conf`	Face liveness detection using color gradient features. SPAC Jixiang Dong, Chunwei Tian, Yong Xu
2017	J	`jnl`	Face recognition using both visible light image and near-infrared image and a deep network. CAAI Trans. Intell. Technol. Kai Guo, Shuai Wu, Yong Xu
2017	—	`conf`	Local Orientation Binary Pattern with Use for Palmprint Recognition. CCBR Lunke Fei, Yong Xu, Shaohua Teng, Wei Zhang, Wenliang Tang, Xiaozhao Fang
2017	J	`jnl`	Low rank representation with adaptive distance penalty for semi-supervised subspace classification. Pattern Recognit. Lunke Fei, Yong Xu, Xiaozhao Fang, Jian Yang
2017	A*	`conf`	Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CVPR Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
2017	J	`jnl`	Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CoRR Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
2017	J	`jnl`	Nonnegative Discriminant Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan
2017	J	`jnl`	Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes. IEEE Trans. Pattern Anal. Mach. Intell. Jian Yang, Lei Luo, Jianjun Qian, Ying Tai, Fanlong Zhang, Yong Xu
2017	J	`jnl`	Orthogonal self-guided similarity preserving projection for classification and clustering. Neural Networks Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Shaohua Teng, Lunke Fei
2017	—	`conf`	Projective Representation Learning for Discriminative Face Recognition. CCCV (2) Zuofeng Zhong, Zheng Zhang, Yong Xu
2017	J	`jnl`	Protein fold recognition based on sparse representation based classification. Artif. Intell. Medicine Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu
2017	—	`conf`	Rich Features and Precise Localization with Region Proposal Network for Object Detection. CCBR Mengdie Chu, Shuai Wu, Yifan Gu, Yong Xu
2017	—	`conf`	Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial Features. CCCV (2) Hansheng Fang, Jie Wen, Yong Xu
2017	J	`jnl`	Rotational Invariant Dimensionality Reduction Algorithms. IEEE Trans. Cybern. Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang
2017	J	`jnl`	Sample diversity, representation effectiveness and robust dictionary learning for face recognition. Inf. Sci. Yong Xu, Zhengming Li, Bob Zhang, Jian Yang, Jane You
2016	J	`jnl`	A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu
2016	J	`jnl`	A survey of sparse representation: algorithms and applications. CoRR Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang
2016	—	`conf`	An Adaptive Weighted Degree Kernel to Predict the Splice Site. CCBR Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu
2016	—	`conf`	An Optimized Naive Bayesian Method for Face Recognition. ICCSIP Rui Yan, Jie Wen, Jian Cao, Yong Xu, Jian Yang
2016	J	`jnl`	Approximate Orthogonal Sparse Embedding for Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. Zhihui Lai, Wai Keung Wong, Yong Xu, Jian Yang, David Zhang
2016	J	`jnl`	Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification. Pattern Recognit. Yong Xu, Zheng Zhang, Guangming Lu, Jian Yang
2016	J	`jnl`	Background modeling methods in video analysis: A review and comparative evaluation. CAAI Trans. Intell. Technol. Yong Xu, Jixiang Dong, Bob Zhang, Daoyun Xu
2016	J	`jnl`	Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu
2016	—	`book`	Computer Models for Facial Beauty Analysis David Zhang, Fangmei Chen, Yong Xu
2016	J	`jnl`	Corrigendum to "Adaptive Weighted Fusion: A novel fusion approach for image classification" Neurocomputing, volume 168 (2015), 566-574. Neurocomputing Yong Xu, Yuwu Lu
2016	—	`book`	Discriminative Learning in Biometrics David Zhang, Yong Xu, Wangmeng Zuo
2016	J	`jnl`	Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation. IEEE Trans. Image Process. Yong Xu, Xiaozhao Fang, Jian Wu, Xuelong Li, David Zhang
2016	J	`jnl`	Double-orientation code and nonlinear matching scheme for palmprint recognition. Pattern Recognit. Lunke Fei, Yong Xu, Wenliang Tang, David Zhang
2016	J	`jnl`	Half-orientation extraction of palmprint features. Pattern Recognit. Lett. Lunke Fei, Yong Xu, David Zhang
2016	J	`jnl`	Individualized learning for improving kernel Fisher discriminant analysis. Pattern Recognit. Zizhu Fan, Yong Xu, Ming Ni, Xiaozhao Fang, David Zhang
2016	J	`jnl`	Low-Rank Preserving Projections. IEEE Trans. Cybern. Yuwu Lu, Zhihui Lai, Yong Xu, Xuelong Li, David Zhang, Chun Yuan
2016	J	`jnl`	Low-rank representation integrated with principal line distance for contactless palmprint recognition. Neurocomputing Lunke Fei, Yong Xu, Bob Zhang, Xiaozhao Fang, Jie Wen
2016	B	`conf`	Natural Scene Character Recognition Using Robust PCA and Sparse Representation. DAS Zheng Zhang, Yong Xu, Cheng-Lin Liu
2016	J	`jnl`	Natural Scene Character Recognition Using Robust PCA and Sparse Representation. CoRR Zheng Zhang, Yong Xu, Cheng-Lin Liu
2016	J	`jnl`	One-pass online learning: A local approach. Pattern Recognit. Zhaoze Zhou, Wei-Shi Zheng, Jianfang Hu, Yong Xu, Jane You
2016	J	`jnl`	Palmprint Recognition Using Neighboring Direction Indicator. IEEE Trans. Hum. Mach. Syst. Lunke Fei, Bob Zhang, Yong Xu, Liping Yan
2016	J	`jnl`	Projective robust nonnegative factorization. Inf. Sci. Yuwu Lu, Zhihui Lai, Yong Xu, Jane You, Xuelong Li, Chun Yuan
2016	—	`conf`	Random Walk Based Global Feature for Disease Gene Identification. CCPR (2) Lezhen Wei, Shuai Wu, Jian Zhang, Yong Xu
2016	J	`jnl`	Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement. IEEE Access Yong Xu, Jie Wen, Lunke Fei, Zheng Zhang
2016	J	`jnl`	Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation. IEEE Trans. Cybern. Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong
2016	J	`jnl`	Robust single-object image segmentation based on salient transition region. Pattern Recognit. Zuoyong Li, Guanghai Liu, David Zhang, Yong Xu
2015	J	`jnl`	2D facial landmark model design by combining key points and inserted points. Expert Syst. Appl. Fangmei Chen, Yong Xu, David Zhang, Kai Chen
2015	—	`conf`	A Survey of Multiple Sequence Alignment Techniques. ICIC (1) Xiao-Dan Wang, Jin-Xing Liu, Yong Xu, Jian Zhang
2015	J	`jnl`	A Survey of Sparse Representation: Algorithms and Applications. IEEE Access Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang
2015	J	`jnl`	A salt & pepper noise filter based on local and global image information. Neurocomputing Zuoyong Li, Yong Cheng, Kezong Tang, Yong Xu, David Zhang
2015	J	`jnl`	Adaptive weighted fusion: A novel fusion approach for image classification. Neurocomputing Yong Xu, Yuwu Lu
2015	—	`conf`	An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. ICIC (1) Ke Yan, Jin-Xing Liu, Yong Xu
2015	J	`jnl`	Combining Left and Right Palmprint Images for More Accurate Personal Identification. IEEE Trans. Image Process. Yong Xu, Lunke Fei, David Zhang
2015	J	`jnl`	Joint Tensor Feature Analysis For Visual Object Recognition. IEEE Trans. Cybern. Wai Keung Wong, Zhihui Lai, Yong Xu, Jiajun Wen, Chu Po Ho
2015	J	`jnl`	Learning a Nonnegative Sparse Graph for Linear Regression. IEEE Trans. Image Process. Xiaozhao Fang, Yong Xu, Xuelong Li, Zhihui Lai, Wai Keung Wong
2015	—	`conf`	Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection. CCBR Chengyan Lin, Yuwu Lu, Jian Wu, Yong Xu
2015	J	`jnl`	Multiple representations and sparse representation for image classification. Pattern Recognit. Lett. Yong Xu, Bob Zhang, Zuofeng Zhong
2015	J	`jnl`	Noise-free representation based classification and face recognition experiments. Neurocomputing Yong Xu, Xiaozhao Fang, Jane You, Yan Chen, Hong Liu
2015	J	`jnl`	Nuclear Norm-Based 2-DPCA for Extracting Features From Images. IEEE Trans. Neural Networks Learn. Syst. Fanlong Zhang, Jian Yang, Jianjun Qian, Yong Xu
2015	B	`conf`	Orthogonal self-guided similarity preserving projections. ICIP Xiaozhao Fang, Yong Xu, Zheng Zhang, Zhihui Lai, Linlin Shen
2015	J	`jnl`	RPCA-Based Tumor Classification Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai
2015	—	`conf`	Semi-supervised Feature Extraction for RNA-Seq Data Analysis. ICIC (3) Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang
2014	J	`jnl`	A New Hypothesis on Facial Beauty Perception. ACM Trans. Appl. Percept. Fangmei Chen, Yong Xu, David Zhang
2014	J	`jnl`	A comparative study and improvement of two ICA using reference signal methods. Neurocomputing Jian-Xun Mi, Yong Xu
2014	B	`conf`	A people counting method based on head detection and tracking. SMARTCOMP Bin Li, Jian Zhang, Zheng Zhang, Yong Xu
2014	—	`conf`	Automatic Two Phase Sparse Representation Method and Face Recognition Experiments. CCBR Ke Yan, Yong Xu, Jian Zhang
2014	J	`jnl`	Data Uncertainty in Face Recognition. IEEE Trans. Cybern. Yong Xu, Xiaozhao Fang, Xuelong Li, Jiang Yang, Jane You, Hong Liu, Shaohua Teng
2014	—	`conf`	Disguised face detection and recognition under the complex background. CIBIM Jing Li, Bin Li, Yong Xu, Kaixuan Lu, Ke Yan, Lunke Fei
2014	J	`jnl`	Human Gait Recognition via Sparse Discriminant Projection Learning. IEEE Trans. Circuits Syst. Video Technol. Zhihui Lai, Yong Xu, Zhong Jin, David Zhang
2014	J	`jnl`	Integrate the original face image and its mirror image for face recognition. Neurocomputing Yong Xu, Xuelong Li, Jian Yang, David Zhang
2014	J	`jnl`	Integrating Conventional and Inverse Representation for Face Recognition. IEEE Trans. Cybern. Yong Xu, Xuelong Li, Jian Yang, Zhihui Lai, David Zhang
2014	J	`jnl`	Joint Video Frame Set Division and Low-Rank Decomposition for Background Subtraction. IEEE Trans. Circuits Syst. Video Technol. Jiajun Wen, Yong Xu, Jinhui Tang, Yinwei Zhan, Zhihui Lai, Xiao-Tang Guo
2014	—	`conf`	Keyword Search over Web Documents Based on Earth Mover's Distance. WISE (1) Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, Ali Shemshadi
2014	J	`jnl`	Locality and similarity preserving embedding for feature selection. Neurocomputing Xiaozhao Fang, Yong Xu, Xuelong Li, Zizhu Fan, Hong Liu, Yan Chen
2014	—	`conf`	Managing Uncertainties in RFID Applications - A Survey. ICEBE Dong Xie, Yongrui Qin, Quan Z. Sheng, Yong Xu
2014	J	`jnl`	Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models. IEEE Trans. Neural Networks Learn. Syst. Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, Jinhui Tang, Zhihui Lai, David Zhang
2014	J	`jnl`	Modified directional weighted filter for removal of salt & pepper noise. Pattern Recognit. Lett. Zuoyong Li, Guanghai Liu, Yong Xu, Yong Cheng
2014	J	`jnl`	Modified minimum squared error algorithm for robust classification and face recognition experiments. Neurocomputing Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You, Hong Liu
2014	J	`jnl`	Multilinear Sparse Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang, David Zhang
2014	J	`jnl`	Sparse Alignment for Robust Tensor Learning. IEEE Trans. Neural Networks Learn. Syst. Zhihui Lai, Wai Keung Wong, Yong Xu, Cairong Zhao, Mingming Sun
2014	C	`conf`	Towards Ontology-Enhanced Cloud Services Discovery. ADMA Abdullah Alfazi, Talal H. Noor, Quan Z. Sheng, Yong Xu
2013	J	`jnl`	A simple and fast representation-based face recognition method. Neural Comput. Appl. Yong Xu, Qi Zhu
2013	J	`jnl`	A sparse representation method of bimodal biometrics and palmprint recognition experiments. Neurocomputing Yong Xu, Zizhu Fan, Minna Qiu, David Zhang, Jing-Yu Yang
2013	J	`jnl`	Coarse to fine K nearest neighbor classifier. Pattern Recognit. Lett. Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu
2013	—	`conf`	Design and Implementation of a Bimodal Face Recognition System. IScIDE Yong Xu, Jian Yang, Jiajie Xu, Qi Zhu, Zizhu Fan
2013	—	`conf`	Detecting Robbery and Violent Scenarios. RVSP Yong Xu, Jiajun Wen
2013	J	`jnl`	Face recognition based on fusion of multi-resolution Gabor features. Neural Comput. Appl. Yong Xu, Zhengming Li, Jeng-Shyang Pan, Jing-Yu Yang
2013	J	`jnl`	From the idea of "sparse representation" to a representation-based transformation method for feature extraction. Neurocomputing Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng-Shyang Pan
2013	J	`jnl`	Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition. IEEE Trans. Image Process. Jianjun Qian, Jian Yang, Yong Xu
2013	J	`jnl`	Multi-directional two-dimensional PCA with matching score level fusion for face recognition. Neural Comput. Appl. Qi Zhu, Yong Xu
2013	—	`conf`	Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features. ICGEC Qi Zhu, Yong Xu, Yuwu Lu, Jiajun Wen, Zizhu Fan, Zhengming Li
2013	J	`jnl`	Panorama parking assistant system with improved particle swarm optimization method. J. Electronic Imaging Ruzhong Cheng, Yong Zhao, Zhichao Li, Weigang Jiang, Xin'an Wang, Yong Xu
2013	—	`conf`	Posterior Probability Based Multi-classifier Fusion in Pedestrian Detection. ICGEC Jialu Zhao, Yan Chen, Xuanyi Zhuang, Yong Xu
2013	J	`jnl`	Recent Advance on mean Shift Tracking: a Survey. Int. J. Image Graph. Liwen He, Yong Xu, Yan Chen, Jiajun Wen
2013	J	`jnl`	Robust PCA based method for discovering differentially expressed genes. BMC Bioinform. Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu
2013	J	`jnl`	Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition. IEEE Trans. Neural Networks Learn. Syst. Jian Yang, Delin Chu, Lei Zhang, Yong Xu, Jingyu Yang
2013	J	`jnl`	Sparse Tensor Discriminant Analysis. IEEE Trans. Image Process. Zhihui Lai, Yong Xu, Jian Yang, Jinhui Tang, David Zhang
2013	J	`jnl`	Using the idea of the sparse representation to perform coarse-to-fine face recognition. Inf. Sci. Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai
2013	J	`jnl`	Using the original and 'symmetrical face' training samples to perform representation based two-step face recognition. Pattern Recognit. Yong Xu, Xingjie Zhu, Zhengming Li, Guang-Hai Liu, Yuwu Lu, Hong Liu
2012	J	`jnl`	Beyond sparsity: The role of L Pattern Recognit. Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang
2012	J	`jnl`	Breast cancer diagnosis based on a kernel orthogonal transform. Neural Comput. Appl. Yong Xu, Qi Zhu, Jinghua Wang
2012	—	`conf`	Combine the clustering algorithm and representation-based algorithm for concurrent classification of test samples. CISDA Xiaozhao Fang, Yong Xu
2012	J	`jnl`	Extract minimum positive and maximum negative features for imbalanced binary classification. Pattern Recognit. Jinghua Wang, Jane You, Qin Li, Yong Xu
2012	J	`jnl`	Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition. Comput. Biol. Medicine Jin-Xing Liu, Chun-Hou Zheng, Yong Xu
2012	—	`conf`	Identifying Characteristic Genes Based on Robust Principal Component Analysis. ICIC (3) Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu
2012	J	`jnl`	Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. Fengxi Song, Jane You, David Zhang, Yong Xu
2012	B	`conf`	Kernel based sparse representation for face recognition. ICPR Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan
2012	J	`jnl`	Orthogonal discriminant vector for face recognition across pose. Pattern Recognit. Jinghua Wang, Jane You, Qin Li, Yong Xu
2012	J	`jnl`	Sparse Approximation to the Eigensubspace for Discrimination. IEEE Trans. Neural Networks Learn. Syst. Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, Yong Xu
2012	B	`conf`	Sparse residue for occluded face image reconstruction and classification. ICPR Jinghua Wang, Yong Xu, Jane You
2012	J	`jnl`	Supervised sparse representation method with a heuristic strategy and face recognition experiments. Neurocomputing Yong Xu, Wangmeng Zuo, Zizhu Fan
2012	J	`jnl`	Theoretical analysis of locality preserving projection and a fast orthogonal locality preserving projection algorithm. J. Electronic Imaging Yong Xu, Binglei Xie, Jingyu Yang
2011	J	`jnl`	A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition. IEEE Trans. Circuits Syst. Video Technol. Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang
2011	J	`jnl`	Accelerating the kernel-method-based feature extraction procedure from the viewpoint of numerical approximation. Neural Comput. Appl. Yong Xu, David Zhang
2011	J	`jnl`	Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments. Neurocomputing Yong Xu, Qi Zhu, David Zhang
2011	—	`conf`	Detection of Protein Spots from Complex Region on Real Gel Image. ICIC (3) Cheng-li Sun, Yong Xu, Jie Jia, Yu He
2011	—	`conf`	Fighting Detection Based on Optical Flow Context Histogram. IBICA Yan Chen, Ling Zhang, Biyi Lin, Yong Xu, Xiaobo Ren
2011	J	`jnl`	Image retrieval based on micro-structure descriptor. Pattern Recognit. Guang-Hai Liu, Zuoyong Li, Lei Zhang, Yong Xu
2011	J	`jnl`	Local Linear Discriminant Analysis Framework Using Sample Neighbors. IEEE Trans. Neural Networks Zizhu Fan, Yong Xu, David Dapeng Zhang
2011	J	`jnl`	Modified local entropy-based transition region extraction and thresholding. Appl. Soft Comput. Zuoyong Li, David Zhang, Yong Xu, Chuancai Liu
2010	J	`jnl`	A feature extraction method for use with bimodal biometrics. Pattern Recognit. Yong Xu, David Zhang, Jing-Yu Yang
2010	J	`jnl`	A novel local preserving projection scheme for use with face recognition. Expert Syst. Appl. Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao
2010	J	`jnl`	An efficient method for computing orthogonal discriminant vectors. Neurocomputing Jinghua Wang, Yong Xu, David Zhang, Jane You
2010	—	`conf`	Computerized Wrist Pulse Signal Diagnosis Using KPCA. ICMB Yunlian Sun, Bo Shen, Yinghui Chen, Yong Xu
2010	J	`jnl`	LPP solution schemes for use with face recognition. Pattern Recognit. Yong Xu, Aini Zhong, Jian Yang, David Zhang
2009	A	`conf`	Biometric cryptographic key generation based on city block distance. WACV Xiangqian Wu, Peipei Wang, Kuanquan Wang, Yong Xu
2009	C	`conf`	Differential Feature Analysis for Palmprint Authentication. CAIP Xiangqian Wu, Kuanquan Wang, Yong Xu, David Zhang
2009	J	`jnl`	Improving the interest operator for face recognition. Expert Syst. Appl. Yong Xu, Lu Yao, David Zhang, Jing-Yu Yang
2009	J	`jnl`	One improvement to two-dimensional locality preserving projection method for use with face recognition. Neurocomputing Yong Xu, Ge Feng, Yingnan Zhao
2008	—	`conf`	A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem. SSPR/SPR Yong Xu, David Zhang
2008	J	`jnl`	An approach for directly extracting features from matrix data and its application in face recognition. Neurocomputing Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang
2007	J	`jnl`	A method for speeding up feature extraction based on KPCA. Neurocomputing Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Zhong Jing, Miao Li
2007	—	`conf`	Detecting Iris Lacunae Based on Gaussian Filter. IIH-MSP Bo Shen, Yong Xu, Guangming Lu, David Zhang
2007	—	`conf`	Determine the Kernel Parameter of KFDA Using a Minimum Search Algorithm. ICIC (2) Yong Xu, Chuancai Liu, Chongyang Zhang
2007	J	`jnl`	Five New Feature Selection Metrics in Text Categorization. Int. J. Pattern Recognit. Artif. Intell. Fengxi Song, David Zhang, Yong Xu, Jizhong Wang
2006	J	`jnl`	A fast kernel-based nonlinear discriminant analysis for multi-class problems. Pattern Recognit. Yong Xu, David Zhang, Zhong Jin, Miao Li, Jing-Yu Yang
2006	—	`conf`	Comparison Study on SVD-Based Face Classification. IIH-MSP Yong Xu, Yingnan Zhao
2006	—	`conf`	Recognize Color Face Images Using Complex Eigenfaces. ICB Jian Yang, David Zhang, Yong Xu, Jing-Yu Yang
2005	J	`jnl`	Two-dimensional discriminant transform for face recognition. Pattern Recognit. Jian Yang, David Zhang, Yong Xu, Jing-Yu Yang
2004	J	`jnl`	A novel method for Fisher discriminant analysis. Pattern Recognit. Yong Xu, Jing-Yu Yang, Zhong Jin
2004	J	`jnl`	A reformative kernel Fisher discriminant analysis. Pattern Recognit. Yong Xu, Jing-Yu Yang, Jian Yang
2004	J	`jnl`	An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments. Pattern Recognit. Yong Xu, Jing-Yu Yang, Jianfeng Lu, Dongjun Yu
2003	J	`jnl`	Theory analysis on FSLDA and ULDA. Pattern Recognit. Yong Xu, Jing-Yu Yang, Zhong Jin