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2020 – today
- 2024
[j81]Youfa Liu
, Bo Du, Yongyong Chen, Lefei Zhang, Mingming Gong, Dacheng Tao:
Convex-Concave Tensor Robust Principal Component Analysis. Int. J. Comput. Vis. 132(5): 1721-1747 (2024)- [j80]Yin-Ping Zhao, Xiangfeng Dai, Yongyong Chen, Chuanbin Zhang, Long Chen, Yue Zhao:
Bilevel fuzzy clustering via adaptive similarity graphs fusion. Inf. Sci. 662: 120281 (2024) - [j79]Youfa Liu, Bo Du, Yongyong Chen, Lefei Zhang:
Robust multiple subspaces transfer for heterogeneous domain adaptation. Pattern Recognit. 152: 110473 (2024) - [j78]Chundan Liu, Qian Zhang, Yongyong Chen, Junyu Dong, Chong Peng:
Enhancing Inter-Class Separability With High-Order Strangers for Multi-View Clustering. IEEE Signal Process. Lett. 31: 2460-2464 (2024) - [j77]Xiaojia Zhao, Qiangqiang Shen, Yongyong Chen, Yongsheng Liang, Junxin Chen, Yicong Zhou:
Self-Completed Bipartite Graph Learning for Fast Incomplete Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2166-2178 (2024) - [j76]Yongyong Chen, Yin-Ping Zhao, Shuqin Wang, Junxin Chen, Zheng Zhang:
Partial Tubal Nuclear Norm-Regularized Multiview Subspace Learning. IEEE Trans. Cybern. 54(6): 3777-3790 (2024) - [j75]Guokai Zhang, Aiming Zhang, Bo Li, Yiqun Lin, Jun Jiang, Yongyong Chen, Eugene Yu-Dong Zhang:
DFINet: Dual-Way Feature Interaction Network for Long-Term Series Forecasting. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j74]Qiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang:
Pick-and-Place Transform Learning for Fast Multi-View Clustering. IEEE Trans. Image Process. 33: 1272-1284 (2024) - [j73]Yin-Ping Zhao, Jiancheng Zhang, Yongyong Chen, Zhen Wang, Xuelong Li:
RCUMP: Residual Completion Unrolling With Mixed Priors for Snapshot Compressive Imaging. IEEE Trans. Image Process. 33: 2347-2360 (2024) - [j72]Yongyong Chen, Shuqin Wang, Yin-Ping Zhao, C. L. Philip Chen:
Double Discrete Cosine Transform-Oriented Multi-View Subspace Clustering. IEEE Trans. Image Process. 33: 2491-2501 (2024) - [j71]Chong Peng, Kehan Kang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering. IEEE Trans. Image Process. 33: 3145-3160 (2024) - [j70]Tianhai Liang, Qiangqiang Shen, Shuqin Wang, Yongyong Chen, Guokai Zhang, Junxin Chen:
Data Completion-Guided Unified Graph Learning for Incomplete Multi-View Clustering. ACM Trans. Knowl. Discov. Data 18(8): 188:1-188:23 (2024) - [j69]Xiaoyu Kong, Yongyong Chen, Zhenyu He:
When Channel Correlation Meets Sparse Prior: Keeping Interpretability in Image Compressive Sensing. IEEE Trans. Multim. 26: 2953-2965 (2024) - [j68]Qiangqiang Shen, Tingting Xu, Yongsheng Liang, Yongyong Chen, Zhenyu He:
Robust Tensor Recovery for Incomplete Multi-View Clustering. IEEE Trans. Multim. 26: 3856-3870 (2024) - [j67]Xiaoyu Kong, Yingying Deng, Fan Tang, Weiming Dong, Chongyang Ma, Yongyong Chen, Zhenyu He, Changsheng Xu:
Exploring the Temporal Consistency of Arbitrary Style Transfer: A Channelwise Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8482-8496 (2024) - [j66]Haijin Zeng, Shaoguang Huang, Yongyong Chen, Sheng Liu, Hiêp Quang Luong, Wilfried Philips:
Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13297-13311 (2024) - [j65]Yongyong Chen, Xiaojia Zhao, Zheng Zhang, Youfa Liu, Jingyong Su, Yicong Zhou:
Tensor Learning Meets Dynamic Anchor Learning: From Complete to Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15332-15345 (2024) - [j64]Xiaojia Zhao, Tingting Xu, Qiangqiang Shen, Youfa Liu, Yongyong Chen, Jingyong Su:
Double High-Order Correlation Preserved Robust Multi-View Ensemble Clustering. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 21:1-21:21 (2024) - [c23]Xiaoyu Kong, Yongyong Chen, Feng Zheng, Zhenyu He:
Block Image Compressive Sensing with Local and Global Information Interaction. AAAI 2024: 2822-2830 - [c22]Weiwei Xiao, Yongyong Chen, Qiben Shan, Yaowei Wang, Jingyong Su:
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection. AAAI 2024: 9196-9204 - [c21]Yaqi Wu, Zhihao Fan, Xiaofeng Chu, Jimmy S. Ren, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangcheng Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Senyan Xu, Zhijing Sun, Jiaying Zhu, Yurui Zhu, Xueyang Fu, Zheng-Jun Zha, Jun Cao, Cheng Li, Shu Chen, Liang Ma, Shiyang Zhou, Haijin Zeng, Kai Feng, Yongyong Chen, Jingyong Su, Xianyu Guan, Hongyuan Yu, Cheng Wan, Jiamin Lin, Binnan Han, Yajun Zou, Zhuoyuan Wu, Yuan Huang, Yongsheng Yu, Daoan Zhang, Jizhe Li, Xuanwu Yin, Kunlong Zuo, Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong, Wei Yu, Bingchun Luo, Sabari Nathan, Priya Kansal:
MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results. CVPR Workshops 2024: 1136-1143 - [c20]Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen:
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. CVPR 2024: 25297-25306 - [c19]Jiancheng Zhang, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao:
Dual Prior Unfolding for Snapshot Compressive Imaging. CVPR 2024: 25742-25752 - [c18]Jiancheng Zhang, Haijin Zeng, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao:
Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification. CVPR 2024: 25817-25826 - [c17]Chong Peng, Pengfei Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Shawn Cheng:
Fine-Grained Bipartite Concept Factorization for Clustering. CVPR 2024: 26254-26264 - [c16]Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen, Hiep Luong, Wilfried Philips:
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising. CVPR 2024: 27820-27830 - [c15]Haijin Zeng, Yuxi Liu, Yongyong Chen, Youfa Liu, Chong Peng, Jingyong Su:
SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging. ECCV (64) 2024: 311-328 - [c14]Zheng Zhou, Zongxin Liu, Yongyong Chen, Bingzhi Chen, Biqing Zeng, Yicong Zhou:
Deep Unfolding 3D Non-Local Transformer Network for Hyperspectral Snapshot Compressive Imaging. ICME 2024: 1-6 - [c13]Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng:
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. IJCAI 2024: 4788-4796 - [c12]Rui Zhao, Jinghua Wang, Yongyong Chen, Zimu Zheng, Kai Cui, Jingyong Su:
Class-Agnostic Detection of Unknown Objects from Foreground Improves Robust Open World Object Detection. PRCV (12) 2024: 78-92 - [i13]Yaqi Wu, Zhihao Fan, Xiaofeng Chu, Jimmy S. Ren, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Senyan Xu, Zhijing Sun, Jiaying Zhu, Yurui Zhu, Xueyang Fu, Zheng-Jun Zha, Jun Cao, Cheng Li, Shu Chen, Liang Ma, Shiyang Zhou, Haijin Zeng, Kai Feng, Yongyong Chen, Jingyong Su, Xianyu Guan, Hongyuan Yu, Cheng Wan, Jiamin Lin, Binnan Han, Yajun Zou, Zhuoyuan Wu, Yuan Huang, Yongsheng Yu, Daoan Zhang, Jizhe Li, Xuanwu Yin, Kunlong Zuo, Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong, Wei Yu, Bingchun Luo, Sabari Nathan, Priya Kansal:
MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results. CoRR abs/2405.04867 (2024) - [i12]Xuanqi Zhang, Haijin Zeng, Jinwang Pan, Qiangqiang Shen, Yongyong Chen:
LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network. CoRR abs/2406.01028 (2024) - [i11]Wenzhe Tian, Haijin Zeng, Yin-Ping Zhao, Yongyong Chen, Zhen Wang, Xuelong Li:
Empowering Snapshot Compressive Imaging: Spatial-Spectral State Space Model with Across-Scanning and Local Enhancement. CoRR abs/2408.00629 (2024) - 2023
- [j63]Yongyong Chen, Lei Cheng, Zhongyun Hua, Shuang Yi:
Laplacian regularized deep low-rank subspace clustering network. Appl. Intell. 53(19): 22282-22296 (2023) - [j62]Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. Knowl. Based Syst. 279: 110946 (2023) - [j61]Honghu Pan, Yongyong Chen, Zhenyu He:
Multi-granularity graph pooling for video-based person re-identification. Neural Networks 160: 22-33 (2023) - [j60]Youfa Liu, Shufan Tong, Yongyong Chen:
HMM-GDAN: Hybrid multi-view and multi-scale graph duplex-attention networks for drug response prediction in cancer. Neural Networks 167: 213-222 (2023) - [j59]Guokai Zhang, Mengpei Jia, Lin Gao, Jihao Luo, Aijun Zhang, Yongyong Chen, Peipei Shan, Binghui Zhao:
Saliency Transfer Learning and Central-Cropping Network for Prostate Cancer Classification. Neural Process. Lett. 55(3): 2391-2403 (2023) - [j58]Yongyong Chen, Tingting Xu, Xiaojia Zhao, Haijin Zeng, Yanhui Xu, Junxing Chen:
Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion. Signal Process. 206: 108901 (2023) - [j57]Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips:
All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7357-7373 (2023) - [j56]Wei Wang, Xinhua Yu, Bo Fang, Yue Zhao, Yongyong Chen, Wei Wei, Junxin Chen:
Cross-Modality LGE-CMR Segmentation Using Image-to-Image Translation Based Data Augmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2367-2375 (2023) - [j55]Zhongyun Hua, Ziyi Wang, Yifeng Zheng, Yongyong Chen, Yuanman Li:
Enabling Large-Capacity Reversible Data Hiding Over Encrypted JPEG Bitstreams. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1003-1018 (2023) - [j54]Tingting Xu, Xiaoyu Kong, Qiangqiang Shen, Yongyong Chen, Yicong Zhou:
Deep and Low-Rank Quaternion Priors for Color Image Processing. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3119-3132 (2023) - [j53]Zheng Zhou, Yongyong Chen, Yicong Zhou:
Deep Dynamic Memory Augmented Attentional Dictionary Learning for Image Denoising. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4784-4797 (2023) - [j52]Shuqin Wang, Yongyong Chen, Zhiping Lin, Yigang Cen, Qi Cao:
Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6302-6316 (2023) - [j51]Honghu Pan, Qiao Liu, Yongyong Chen, Yunqi He, Yuan Zheng, Feng Zheng, Zhenyu He:
Pose-Aided Video-Based Person Re-Identification via Recurrent Graph Convolutional Network. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7183-7196 (2023) - [j50]Zhongyun Hua, Yanxiang Wang, Shuang Yi, Yifeng Zheng, Xingyu Liu, Yongyong Chen, Xinpeng Zhang:
Matrix-Based Secret Sharing for Reversible Data Hiding in Encrypted Images. IEEE Trans. Dependable Secur. Comput. 20(5): 3669-3686 (2023) - [j49]Hao Qin, Qiangqiang Shen, Haijin Zeng, Yongyong Chen, Guangming Lu:
Generalized Nonconvex Low-Rank Tensor Representation for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j48]Weiwei Xiao, Jingyong Su, Yongyong Chen, Guofeng Cao:
Cross-Scale-Guided Fusion Transformer for Disaster Assessment Using Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j47]Yin-Ping Zhao, Hongyan Li, Yongyong Chen, Zhen Wang, Xuelong Li:
Hyperspectral Anomaly Detection via Structured Sparsity Plus Enhanced Low-Rankness. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j46]Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He:
Toward Complete-View and High-Level Pose-Based Gait Recognition. IEEE Trans. Inf. Forensics Secur. 18: 2104-2118 (2023) - [j45]Shuqin Wang, Zhiping Lin, Qi Cao, Yigang Cen, Yongyong Chen:
Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View Subspace Clustering. IEEE Trans. Image Process. 32: 4059-4072 (2023) - [j44]Xuanqi Zhang, Qiangqiang Shen, Yongyong Chen, Guokai Zhang, Zhongyun Hua, Jingyong Su:
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor. ACM Trans. Knowl. Discov. Data 17(7): 103:1-103:19 (2023) - [j43]Jingyong Su, Junyao Ye, Liqiang Nie, Yilong Cao, Yongyong Chen:
Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory. IEEE Trans. Knowl. Data Eng. 35(10): 10085-10097 (2023) - [j42]Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang:
Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering. IEEE Trans. Multim. 25: 4972-4985 (2023) - [j41]Kuiyuan Zhang, Zhongyun Hua, Yuanman Li, Yongyong Chen, Yicong Zhou:
AMS-Net: Adaptive Multi-Scale Network for Image Compressive Sensing. IEEE Trans. Multim. 25: 5676-5689 (2023) - [j40]Qiangqiang Shen, Shuangyan Yi, Yongsheng Liang, Yongyong Chen, Wei Liu:
Bilateral Fast Low-Rank Representation With Equivalent Transformation for Subspace Clustering. IEEE Trans. Multim. 25: 6371-6383 (2023) - [j39]Yu Liu, Junxin Chen, Bo Fang, Yongyong Chen, Zhihan Lv:
Ensemble Learning-Based Atrial Fibrillation Detection From Single Lead ECG Wave for Wireless Body Sensor Network. IEEE Trans. Netw. Sci. Eng. 10(5): 2627-2636 (2023) - [j38]Wenjue He, Zheng Zhang, Yongyong Chen, Jie Wen:
Structured anchor-inferred graph learning for universal incomplete multi-view clustering. World Wide Web (WWW) 26(1): 375-399 (2023) - [c11]Qiankun Li, Xiaolong Huang, Bo Fang, Yani Zhang, Yongyong Chen, Junxin Chen:
PnP-AE: A Plug-and-Play Module for Volumetric Medical Image Segmentation. BIBM 2023: 2059-2064 - [c10]Liuhan Chen, Yirou Wang, Yongyong Chen:
End-to-end XY Separation for Single Image Blind Deblurring. ACM Multimedia 2023: 1273-1282 - [i10]Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips:
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing. CoRR abs/2303.13404 (2023) - [i9]Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen:
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. CoRR abs/2311.11417 (2023) - 2022
- [j37]Youfa Liu, Yongyong Chen, Guo Chen, Jiawei Zhang:
Schatten Graph Neural Networks. IEEE Access 10: 56482-56492 (2022) - [j36]Shuqin Wang, Yongyong Chen, Yigang Cen, Linna Zhang, Hengyou Wang, Viacheslav V. Voronin:
Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering. Appl. Intell. 52(13): 14651-14664 (2022) - [j35]Shuqin Wang, Yongyong Chen, Shuang Yi, Guoqing Chao:
Frobenius norm-regularized robust graph learning for multi-view subspace clustering. Appl. Intell. 52(13): 14935-14948 (2022) - [j34]Ke Yan, Hongwu Lv, Yichen Guo, Yongyong Chen, Hao Wu, Bin Liu:
TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model. Bioinform. 38(10): 2712-2718 (2022) - [j33]Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Log-based sparse nonnegative matrix factorization for data representation. Knowl. Based Syst. 251: 109127 (2022) - [j32]Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng:
Preserving bilateral view structural information for subspace clustering. Knowl. Based Syst. 258: 109915 (2022) - [j31]Qiangqiang Shen, Yongyong Chen, Yongsheng Liang, Shuangyan Yi, Wei Liu:
Weighted Schatten p-norm minimization with logarithmic constraint for subspace clustering. Signal Process. 198: 108568 (2022) - [j30]Yongyong Chen, Xiaolin Xiao, Chong Peng, Guangming Lu, Yicong Zhou:
Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering. IEEE Trans. Circuits Syst. Video Technol. 32(1): 92-104 (2022) - [j29]Honghu Pan, Yongyong Chen, Zhenyu He, Fanyang Meng, Nana Fan:
TCDesc: Learning Topology Consistent Descriptors for Image Matching. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2845-2855 (2022) - [j28]Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j27]Zhaocheng Yu, Junxin Chen, Yu Liu, Yongyong Chen, Tingting Wang, Robert M. Nowak, Zhihan Lv:
DDCNN: A Deep Learning Model for AF Detection From a Single-Lead Short ECG Signal. IEEE J. Biomed. Health Informatics 26(10): 4987-4995 (2022) - [j26]Yongyong Chen, Shuqin Wang, Xiaolin Xiao, Youfa Liu, Zhongyun Hua, Yicong Zhou:
Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering. IEEE Trans. Multim. 24: 4054-4066 (2022) - [j25]Yongyong Chen, Xiaolin Xiao, Zhongyun Hua, Yicong Zhou:
Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4712-4726 (2022) - [j24]Shuqin Wang, Yongyong Chen, Linna Zhang, Yigang Cen, Viacheslav V. Voronin:
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering. IEEE Trans. Signal Inf. Process. over Networks 8: 376-388 (2022) - [j23]Zhongyun Hua, Yongyong Chen, Han Bao, Yicong Zhou:
Two-Dimensional Parametric Polynomial Chaotic System. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4402-4414 (2022) - [c9]Junfeng An, Yingjian Li, Zheng Zhang, Yongyong Chen, Guangming Lu:
High-Order Correlation Embedding for Large-Scale Multi-modal Hashing. APWeb/WAIM (2) 2022: 175-182 - [c8]Yongyong Chen, Shuqin Wang, Jingyong Su, Junxin Chen:
Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering. ICDM 2022: 897-902 - [c7]Lei Cheng, Yongyong Chen, Zhongyun Hua:
Deep Contrastive Multi-view Subspace Clustering. ICONIP (4) 2022: 692-704 - [i8]Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. CoRR abs/2201.02812 (2022) - [i7]Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Log-based Sparse Nonnegative Matrix Factorization for Data Representation. CoRR abs/2204.10647 (2022) - [i6]Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips:
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising. CoRR abs/2204.12879 (2022) - [i5]Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He:
Towards Complete-View and High-Level Pose-based Gait Recognition. CoRR abs/2209.11577 (2022) - [i4]Honghu Pan, Qiao Liu, Yongyong Chen, Yunqi He, Yuan Zheng, Feng Zheng, Zhenyu He:
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network. CoRR abs/2209.11582 (2022) - [i3]Honghu Pan, Yongyong Chen, Zhenyu He:
Multi-Granularity Graph Pooling for Video-based Person Re-Identification. CoRR abs/2209.11584 (2022) - [i2]Honghu Pan, Yongyong Chen, Yunqi He, Xin Li, Zhenyu He:
How Image Generation Helps Visible-to-Infrared Person Re-Identification? CoRR abs/2210.01585 (2022) - 2021
- [j22]Shuqin Wang, Yongyong Chen, Yi Jin, Yigang Cen, Yidong Li, Linna Zhang:
Error-robust low-rank tensor approximation for multi-view clustering. Knowl. Based Syst. 215: 106745 (2021) - [j21]Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng:
Learning discriminative representation for image classification. Knowl. Based Syst. 233: 107517 (2021) - [j20]Guokai Zhang, Weizhe Xu, Wei Zhao, Chenxi Huang, Eddie Y. K. Ng, Yongyong Chen, Jian Su:
A Multiscale Attention Network for Remote Sensing Scene Images Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9530-9545 (2021) - [j19]Haijin Zeng, Yongyong Chen, Xiaozhen Xie, Jifeng Ning:
Enhanced Nonconvex Low-Rank Approximation of Tensor Multi-Modes for Tensor Completion. IEEE Trans. Computational Imaging 7: 164-177 (2021) - [j18]Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou:
Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction. IEEE Trans. Image Process. 30: 108-120 (2021) - [j17]Yongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, Yicong Zhou:
Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering. IEEE Trans. Image Process. 30: 4022-4035 (2021) - [j16]Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou:
Prior Knowledge Regularized Multiview Self-Representation and its Applications. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1325-1338 (2021) - [c6]Shuqin Wang, Yongyong Chen, Yigang Ce, Linna Zhang, Viacheslav V. Voronin:
Low-Rank And Sparse Tensor Representation For Multi-View Subspace Clustering. ICIP 2021: 1534-1538 - [c5]Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising With Log-Based Robust PCA. ICIP 2021: 1634-1638 - [c4]Yongyong Chen, Shuqin Wang, Chong Peng, Guangming Lu, Yicong Zhou:
Partial Tubal Nuclear Norm Regularized Multi-view Learning. ACM Multimedia 2021: 1341-1349 - [i1]Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising with Log-Based Robust PCA. CoRR abs/2105.11927 (2021) - 2020
- [j15]Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Robust principal component analysis: A factorization-based approach with linear complexity. Inf. Sci. 513: 581-599 (2020) - [j14]Yongyong Chen, Shuqin Wang, Fangying Zheng, Yigang Cen:
Graph-regularized least squares regression for multi-view subspace clustering. Knowl. Based Syst. 194: 105482 (2020) - [j13]Yongyong Chen, Xiaolin Xiao, Yicong Zhou:
Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix. Pattern Recognit. 106: 107441 (2020) - [j12]Juan Zhang, Changsheng Wan, Chunyu Zhang, Xiaojun Guo, Yongyong Chen:
Noninteractive Lightweight Privacy-Preserving Auditing on Images in Mobile Crowdsourcing Networks. Secur. Commun. Networks 2020: 8827364:1-8827364:11 (2020) - [j11]Yongyong Chen, Jiaxue Li, Yicong Zhou:
Hyperspectral image denoising by total variation-regularized bilinear factorization. Signal Process. 174: 107645 (2020) - [j10]Yongyong Chen, Xiaolin Xiao, Yicong Zhou:
Low-Rank Quaternion Approximation for Color Image Processing. IEEE Trans. Image Process. 29: 1426-1439 (2020) - [j9]Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou:
2D Quaternion Sparse Discriminant Analysis. IEEE Trans. Image Process. 29: 2271-2286 (2020) - [j8]Yongyong Chen, Xiaolin Xiao, Yicong Zhou:
Jointly Learning Kernel Representation Tensor and Affinity Matrix for Multi-View Clustering. IEEE Trans. Multim. 22(8): 1985-1997 (2020)
2010 – 2019
- 2019
- [c3]Yongyong Chen, Xiaolin Xiao, Yicong Zhou:
Multi-view Clustering via Simultaneously Learning Graph Regularized Low-Rank Tensor Representation and Affinity Matrix. ICME 2019: 1348-1353 - 2018
- [j7]Shuqin Wang, Yongli Wang, Yongyong Chen, Peng Pan, Zhipeng Sun, Guoping He:
Robust PCA Using Matrix Factorization for Background/Foreground Separation. IEEE Access 6: 18945-18953 (2018) - [j6]Yongyong Chen, Shuqin Wang, Yicong Zhou:
Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization. IEEE J. Sel. Top. Signal Process. 12(6): 1364-1377 (2018) - [c2]Yongyong Chen, Yicong Zhou:
Robust Principal Component Analysis with Matrix Factorization. ICASSP 2018: 2411-2415 - [c1]Yongyong Chen, Yicong Zhou:
Total Variation Regularized Low-Rank Tensor Approximation for Color Image Denoising. SMC 2018: 2523-2527 - 2017
- [j5]Fei Xu, Jingqi Han, Yongli Wang, Ming Chen, Yongyong Chen, Guoping He, Yunhong Hu:
Dynamic Magnetic Resonance Imaging via Nonconvex Low-Rank Matrix Approximation. IEEE Access 5: 1958-1966 (2017) - [j4]Fei Xu, Yongyong Chen, Chong Peng, Yongli Wang, Xuefeng Liu, Guoping He:
Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization. IEEE Geosci. Remote. Sens. Lett. 14(7): 1141-1145 (2017) - [j3]Yongyong Chen, Yongli Wang, Mingqiang Li, Guoping He:
Augmented Lagrangian alternating direction method for low-rank minimization via non-convex approximation. Signal Image Video Process. 11(7): 1271-1278 (2017) - [j2]Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen, Qiang Cheng:
Image Projection Ridge Regression for Subspace Clustering. IEEE Signal Process. Lett. 24(7): 991-995 (2017) - [j1]Yongyong Chen, Yanwen Guo, Yongli Wang, Dong Wang, Chong Peng, Guoping He:
Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation. IEEE Trans. Geosci. Remote. Sens. 55(9): 5366-5380 (2017)
Coauthor Index
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