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ORCIDYong Xu 0001
Person information
- affiliation: Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Centre, China
- affiliation (PhD 2005): Nanjing University of Science and Technology, Department of Computer Science, China
Other persons with the same name
- Yong Xu — disambiguation page
- Yong Xu 0002
![[0000-0002-9933-024X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9933-024X")
(aka: Eric Yong Xu) — The Chinese University of Hong Kong, Institute of Future Cities, Hong Kong - Yong Xu 0003 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 3 more)
- Yong Xu 0004 — Tencent America LLC, Seattle, USA (and 2 more)
- Yong Xu 0005 — Zhejiang University, Institute of Cyber-Systems and Control, National Laboratory of Industrial Control Technology, Yuquan Campus, Hangzhou, China
- Yong Xu 0006 — University of Paris-Saclay, France
- Yong Xu 0007 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Yong Xu 0008 — Fudan University, Shanghai, China
- Yong Xu 0009 — Xiamen University, School of Film, Department of Digital Media, Xiamen, China (and 6 more)
- Yong Xu 0010 — Microsoft Research, Beijing, China
- Yong Xu 0011 — Northwestern Polytechnical University, Department of Mathematics and Statistics, Xi'an, China
- Yong Xu 0012 — Tokyo University of Agriculture and Technology, Division of Advanced Information Technology and Computer Science, Institute of Engineering, Japan (and 1 more)
- Yong Xu 0013 — Beihang University, Institute of Unmanned Systems, Key Laboratory of Advanced Technology of Intelligent Unmanned Flight Systems, School of Electronic and Information Engineering, Beijing, China
- Yong Xu 0014 — State Grid Hunan Integrated Energy Service Company Ltd., Technology Research and Development Center, Changsha, China (and 1 more)
- Yong Xu 0015 — University of Cincinnati, Wireless and Mobile Networking Laboratory, OH, USA
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2020 – today
- 2025
[j235]Yabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu, Zhihao Wu, Yong Xu:
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection. IEEE Trans. Neural Networks Learn. Syst. 36(1): 369-380 (2025)- 2024
- [j234]Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang:
A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence. CAAI Trans. Intell. Technol. 9(1): 153-166 (2024) - [j233]Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang:
Geometric prior guided hybrid deep neural network for facial beauty analysis. CAAI Trans. Intell. Technol. 9(2): 467-480 (2024) - [j232]Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, Yuan Xie, Yahan Sun, David Zhang:
ISFB-GAN: Interpretable semantic face beautification with generative adversarial network. Expert Syst. Appl. 236: 121131 (2024) - [j231]Jinxing Li, Chuhao Zhou, Xiaoqiang Ji, Mu Li, Guangming Lu, Yong Xu, David Zhang:
Multi-view Instance Attention Fusion Network for classification. Inf. Fusion 101: 101974 (2024) - [j230]Xin Wang, Shiqi Wang, Jinxing Li, Mu Li, Jinkai Li, Yong Xu:
Omnidirectional image super-resolution via position attention network. Neural Networks 178: 106464 (2024) - [j229]Hao Liang, Lunke Fei, Shuping Zhao, Jie Wen, Shaohua Teng, Yong Xu:
Mask-guided multiscale feature aggregation network for hand gesture recognition. Pattern Recognit. 145: 109901 (2024) - [j228]Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Yong Xu, Xutao Li, Baoquan Zhang:
AMANet: An Adaptive Memory Attention Network for video cloud detection. Pattern Recognit. 155: 110616 (2024) - [j227]Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu:
MixingMask: A contour-aware approach for joint object detection and instance segmentation. Pattern Recognit. 155: 110620 (2024) - [j226]Lian Wu, Chao Huang, Lunke Fei, Shuping Zhao, Jianchuan Zhao, Zhongwei Cui, Yong Xu:
Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2179-2194 (2024) - [j225]Jie Wen, Gehui Xu, Zhanyan Tang, Wei Wang, Lunke Fei, Yong Xu:
Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3728-3741 (2024) - [j224]Han Lin, Yingjian Li, Zheng Zhang, Lei Zhu, Yong Xu:
Learning With Noisy Labels by Semantic and Feature Space Collaboration. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7190-7201 (2024) - [j223]Chao Huang, Chengliang Liu, Jie Wen, Lian Wu, Yong Xu, Qiuping Jiang, Yaowei Wang:
Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. IEEE Trans. Cybern. 54(5): 3197-3210 (2024) - [j222]Chen Luo, Shanshan Feng, Huaibin Wang, Baoquan Zhang, Pengjuan Yao, Chuyao Luo, Yunming Ye, Yong Xu, Xutao Li, Hao Fang:
LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j221]Zhihao Wu, Yong Xu, Jian Yang, Xuelong Li:
Misclassification in Weakly Supervised Object Detection. IEEE Trans. Image Process. 33: 3413-3427 (2024) - [j220]Le Su, Lunke Fei, Bob Zhang, Shuping Zhao, Jie Wen, Yong Xu:
Complete Region of Interest for Unconstrained Palmprint Recognition. IEEE Trans. Image Process. 33: 3662-3675 (2024) - [j219]Yabo Liu, Jinghua Wang, Chao Huang, Yiling Wu, Yong Xu, Xiaochun Cao:
MLFA: Toward Realistic Test Time Adaptive Object Detection by Multi-Level Feature Alignment. IEEE Trans. Image Process. 33: 5837-5848 (2024) - [j218]Mu Li, Youneng Bao, Xiaohang Sui, Jinxing Li, Guangming Lu, Yong Xu:
Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression. IEEE Trans. Image Process. 33: 5975-5988 (2024) - [j217]Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu:
Multi-Contrast Complementary Learning for Accelerated MR Imaging. IEEE J. Biomed. Health Informatics 28(3): 1436-1447 (2024) - [j216]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. IEEE J. Biomed. Health Informatics 28(11): 6384-6394 (2024) - [j215]Yabo Liu, Jinghua Wang, Weijia Wang, Yu Hu, Yaowei Wang, Yong Xu:
CRADA: Cross Domain Object Detection With Cyclic Reconstruction and Decoupling Adaptation. IEEE Trans. Multim. 26: 6250-6261 (2024) - [j214]Yabo Liu, Jinghua Wang, Sheng-hua Zhong, Lianyang Ma, Yong Xu:
Fine-Grained Representation Alignment for Zero-Shot Domain Adaptation. IEEE Trans. Multim. 26: 6285-6296 (2024) - [j213]Yunxin Li, Baotian Hu, Xinyu Chen, Lin Ma, Yong Xu, Min Zhang:
LMEye: An Interactive Perception Network for Large Language Models. IEEE Trans. Multim. 26: 10952-10964 (2024) - [j212]Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li, David Zhang:
Enhanced Spatial Feature Learning for Weakly Supervised Object Detection. IEEE Trans. Neural Networks Learn. Syst. 35(1): 961-972 (2024) - [j211]Jie Wen, Shijie Deng, Lunke Fei, Zheng Zhang, Bob Zhang, Zhao Zhang, Yong Xu:
Discriminative Regression With Adaptive Graph Diffusion. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1797-1809 (2024) - [j210]Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu:
Projective Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10539-10551 (2024) - [j209]Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu:
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11396-11408 (2024) - [j208]Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12251-12262 (2024) - [j207]Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu:
Information Recovery-Driven Deep Incomplete Multiview Clustering Network. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15442-15452 (2024) - [c76]QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu:
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. AAAI 2024: 6342-6350 - [c75]Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu:
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. AAAI 2024: 13864-13872 - [c74]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. ACL (Findings) 2024: 14041-14055 - [c73]Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu:
Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering. ICML 2024 - [c72]Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu:
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. ICML 2024 - [c71]Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang:
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition. ICML 2024 - [c70]Jinrong Cui, Haosen Sun, Min Zhao, Ciwei Kuang, Yong Xu:
A Faster Fire Detection Network with Global Information Awareness. PRCV (12) 2024: 361-375 - [i41]Lintai Wu, Junhui Hou, Linqi Song, Yong Xu:
3D Shape Completion on Unseen Categories: A Weakly-supervised Approach. CoRR abs/2401.10578 (2024) - [i40]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. CoRR abs/2402.07726 (2024) - [i39]Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie:
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. CoRR abs/2403.19514 (2024) - [i38]Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu:
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. CoRR abs/2404.17340 (2024) - [i37]Lintai Wu, Xianjing Cheng, Junhui Hou, Yong Xu, Huanqiang Zeng:
Self-supervised 3D Point Cloud Completion via Multi-view Adversarial Learning. CoRR abs/2407.09786 (2024) - 2023
- [j206]Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Xian Jing Cheng, Lilei Sun, Lian Wu:
Vehicle re-identification based on keypoint segmentation of original image. Appl. Intell. 53(3): 2576-2592 (2023) - [j205]Shuping Zhao, Zhongwei Cui, Lian Wu, Yong Xu, Yu Zuo, Lunke Fei:
Salient and consensus representation learning based incomplete multiview clustering. Appl. Intell. 53(3): 2723-2737 (2023) - [j204]Qi Zhang, Jianhang Zhou, Yong Xu, Bob Zhang:
Collaborative representation induced broad learning model for classification. Appl. Intell. 53(20): 23442-23456 (2023) - [j203]Lilei Sun, Jie Wen, Junqian Wang, Yong Zhao, Bob Zhang, Jian Wu, Yong Xu:
Two-view attention-guided convolutional neural network for mammographic image classification. CAAI Trans. Intell. Technol. 8(2): 453-467 (2023) - [j202]Xiaoling Luo, Honggang Zhang, Jingyong Su, Wai Keung Wong, Jinkai Li, Yong Xu:
RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy. Comput. Biol. Medicine 152: 106406 (2023) - [j201]Jinkai Li, Jinghua Wang, Ciwei Kuang, Lian Wu, Xin Wang, Yong Xu:
A human-like action learning process: Progressive pose generation for motion prediction. Knowl. Based Syst. 280: 110948 (2023) - [j200]Jinkai Li, Honghu Pan, Lian Wu, Chao Huang, Xiaoling Luo, Yong Xu:
Class-guided human motion prediction via multi-spatial-temporal supervision. Neural Comput. Appl. 35(13): 9463-9479 (2023) - [j199]Lian Wu, Chao Huang, Shuping Zhao, Jinkai Li, Jianchuan Zhao, Zhongwei Cui, Zhen Yu, Yong Xu, Min Zhang:
Robust fall detection in video surveillance based on weakly supervised learning. Neural Networks 163: 286-297 (2023) - [j198]Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu:
Single image denoising with a feature-enhanced network. Neural Networks 168: 313-325 (2023) - [j197]Tianhao Peng, Mu Li, Fangmei Chen, Yong Xu, David Zhang:
Learning efficient facial landmark model for human attractiveness analysis. Pattern Recognit. 138: 109370 (2023) - [j196]Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang:
A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. 15(2): 675-689 (2023) - [j195]Ke Yan, Hongwu Lv, Jie Wen, Yichen Guo, Yong Xu, Bin Liu:
PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1337-1344 (2023) - [j194]Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Xutao Li, Yong Xu, Baoquan Zhang, Zhihao Chen:
TRCDNet: A Transformer Network for Video Cloud Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j193]Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li:
Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. IEEE Trans. Image Process. 32: 682-693 (2023) - [j192]Jinxing Li, Beicheng Liang, Xiangwei Lu, Mu Li, Guangming Lu, Yong Xu:
From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection. IEEE Trans. Image Process. 32: 1158-1169 (2023) - [j191]Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang:
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32: 5126-5137 (2023) - [j190]Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42(7): 2010-2021 (2023) - [j189]Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu:
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42(10): 2804-2816 (2023) - [j188]Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, David Zhang:
Multiple Instance Detection Networks With Adaptive Instance Refinement. IEEE Trans. Multim. 25: 267-279 (2023) - [j187]Lintai Wu, Yong Xu, Junhui Hou, C. L. Philip Chen, Cheng-Lin Liu:
A Two-Level Rectification Attention Network for Scene Text Recognition. IEEE Trans. Multim. 25: 2404-2414 (2023) - [j186]Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang:
Localized Sparse Incomplete Multi-View Clustering. IEEE Trans. Multim. 25: 5539-5551 (2023) - [j185]Chao Huang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang, David Zhang:
Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9389-9403 (2023) - [j184]Lunke Fei, Shuping Zhao, Wei Jia, Bob Zhang, Jie Wen, Yong Xu:
Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9783-9794 (2023) - [j183]Shaoning Zeng, Yunbo Rao, Bob Zhang, Yong Xu:
Joint Augmented and Compressed Dictionaries for Robust Image Classification. ACM Trans. Multim. Comput. Commun. Appl. 19(3s): 136:1-136:24 (2023) - [j182]Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multiview Clustering. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1136-1149 (2023) - [j181]Lunke Fei, Wai Keung Wong, Shuping Zhao, Jie Wen, Jian Zhu, Yong Xu:
Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3868-3879 (2023) - [c69]Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu:
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. AAAI 2023: 8807-8815 - [c68]Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu:
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. AAAI 2023: 8816-8824 - [c67]Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu:
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. AAAI 2023: 8993-9001 - [c66]Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu:
Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. CVPR 2023: 15712-15721 - [c65]Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu:
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection. CVPR 2023: 23776-23786 - [c64]Chuhao Zhou, Jinxing Li, Huafeng Li, Guangming Lu, Yong Xu, Min Zhang:
Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction. ACM Multimedia 2023: 46-55 - [c63]Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu:
Localized and Balanced Efficient Incomplete Multi-view Clustering. ACM Multimedia 2023: 2927-2935 - [c62]Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu:
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. NeurIPS 2023 - [i36]Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu:
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. CoRR abs/2303.07180 (2023) - [i35]Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu:
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. CoRR abs/2303.08358 (2023) - [i34]Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang:
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR abs/2303.17117 (2023) - [i33]Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu:
Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. CoRR abs/2304.00429 (2023) - [i32]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. CoRR abs/2306.02673 (2023) - 2022
- [j180]Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu:
Breast mass classification based on supervised contrastive learning and multi-view consistency penalty on mammography. IET Biom. 11(6): 588-600 (2022) - [j179]Haiwei Sang, Zuliu Yang, Yong Xu, Xianjing Cheng, Weicheng Xiong, Yong Zhao:
Local expansion moves for stereo matching based on random sample consensus confidence. J. Electronic Imaging 31(1) (2022) - [j178]Xiaohuan Lu, Jiang Long, Jie Wen, Lunke Fei, Bob Zhang, Yong Xu:
Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction. Pattern Recognit. 131: 108844 (2022) - [j177]Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu:
Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. IEEE Signal Process. Lett. 29: 1197-1201 (2022) - [j176]Zhijun Hu, Yong Xu, Raja Soosaimarian Peter Raj, Guanghai Liu, Jie Wen, Lilei Sun, Lian Wu, Xian Jing Cheng:
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. 9(5): 1345-1358 (2022) - [j175]Xiaozhao Fang, Na Han, Guoxu Zhou, Shaohua Teng, Yong Xu, Shengli Xie:
Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. 52(4): 2618-2629 (2022) - [j174]Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu:
Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification. IEEE Trans. Cybern. 52(6): 4935-4948 (2022) - [j173]Chao Huang, Zehua Yang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang:
Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection. IEEE Trans. Cybern. 52(12): 13834-13847 (2022) - [j172]Chao Huang, Zhihao Wu, Jie Wen, Yong Xu, Qiuping Jiang, Yaowei Wang:
Abnormal Event Detection Using Deep Contrastive Learning for Intelligent Video Surveillance System. IEEE Trans. Ind. Informatics 18(8): 5171-5179 (2022) - [j171]Jianyang Qin, Lunke Fei, Zheng Zhang, Jie Wen, Yong Xu, David Zhang:
Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval. IEEE Trans. Image Process. 31: 5343-5358 (2022) - [j170]Shuai Wu, Yong Xu, Bob Zhang, Jian Yang, David Zhang:
Deformable Template Network (DTN) for Object Detection. IEEE Trans. Multim. 24: 2058-2068 (2022) - [j169]Lunke Fei, Bob Zhang, Yong Xu, Chunwei Tian, Imad Rida, David Zhang:
Jointly Heterogeneous Palmprint Discriminant Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4979-4990 (2022) - [j168]Chunwei Tian, Yong Xu, Wangmeng Zuo, Chia-Wen Lin, David Zhang:
Asymmetric CNN for Image Superresolution. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3718-3730 (2022) - [j167]Xiaozhao Fang, Lin Jiang, Na Han, Weijun Sun, Yong Xu, Shengli Xie:
Cross-Domain Recognition via Projective Cross-Reconstruction. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7366-7377 (2022) - [c61]Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu:
Deep Object Detection with Example Attribute Based Prediction Modulation. ICASSP 2022: 2020-2024 - [c60]Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang:
Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. ACM Multimedia 2022: 307-315 - [c59]Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu:
Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. ACM Multimedia 2022: 521-530 - [i31]Zhijun Hu, Yong Xu, Jie Wen, Xian Jing Cheng, Zaijun Zhang, Lilei Sun, Yaowei Wang:
Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification. CoRR abs/2204.07943 (2022) - [i30]Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu:
Localized Sparse Incomplete Multi-view Clustering. CoRR abs/2208.02998 (2022) - [i29]Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multi-view Clustering. CoRR abs/2208.08040 (2022) - [i28]Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang:
Prompt-driven efficient Open-set Semi-supervised Learning. CoRR abs/2209.14205 (2022) - [i27]Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu:
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. CoRR abs/2212.00564 (2022) - 2021
- [j166]Hang Wei, Yong Xu, Bin Liu:
iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning. Briefings Bioinform. 22(3) (2021) - [j165]