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个人简介

陈勇勇,博士,哈尔滨工业大学(深圳) 计算机科学与技术学院 生物计算中心 助理教授,硕士生导师。迅策科技-哈尔滨工业大学(深圳)联合实验室副主任。曾在南京大学算机软件新技术国家重点实验室学习交流。深圳市海外高层次人才。澳门大学获得博士学位。现为中国计算机学会会员、中国人工智能协会会员、IEEE会员、中国人工智能学会模式识别专委会委员。《Big Data Mining and Analytics》期刊青年编委(ESCI,影响因子:13.6)。 研究兴趣包括:机器学习、模式识别、计算机视觉等应用,已在IEEE Transactions on Image Processing、IEEE Transactions on Information Forensics and Security、IEEE Transactions on Dependable and Secure Computing、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Multimedia、IEEE Transactions on Circuits and Systems for Video Technology、IEEE Transactions on Geoscience and Remote Sensing、IEEE Transactions on Computational Imaging、IEEE Transactions on Systems, Man, and Cybernetics: Systems、IEEE/ACM Transactions on Computational Biology and Bioinformatics、IEEE Journal of Selected Topics in Signal Processing、Pattern Recognition等顶级期刊发表60余篇论文。并且担任多个期刊、会议审稿人。 科研项目 国家自然科学基金青年基金, 2022.01-2024.12, 30万,主持,在研 广东省自然科学基金-面上项目, 2022.01-2024.12, 10万,主持,在研 深圳市基础研究项目, 2021.01-2022.12, 40万,主持,在研 深圳市优秀科技创新人才培养项目, 2022.04-2024.04, 30万,主持,在研 哈尔滨工业大学(深圳)引进高端人才科研启动经费, 2021.01-2024.12, 300万,主持,在研 国家自然科学基金面上基金,多任务多框架的自适应深度模型集成压缩与优化技术研究, 2022-01-01 至 2025-12-31, 57万元, 在研, 参与 国家自然科学基金委员会数学天元基金项目, 基于矩阵补全的鲁棒线性规划模及算法研究, 2017-01-01 至 2017-12-31, 3万元, 结题, 参与

研究领域

机器学习、模式识别、计算机视觉等应用

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Zhang Xuanqi(本科生), Shen Qiangqiang, Chen Yongyong*, Zhang Guokai, Hua Zhongyun, Su Jingyong. "Multi-View Ensemble Clustering via Low-Rank and Sparse Decomposition: from Matrix to Tensor". ACM Transactions on Knowledge Discovery from Data, 2023. (CCF推荐B类期刊, 中科院三区, 影响因子:4.157) Chen Yongyong, Zhao Xiaojia, Zhang Zheng, Liu Youfa, Su Jingyong, Zhou Yicong. "Tensor Learning Meets Dynamic Anchor Learning: From Complete to Incomplete Multi-View Clustering". IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (CCF推荐B类期刊, 中科院一区, 影响因子:14.255/2021) Zeng Haijin, Huang Shaoguang, Chen Yongyong*, Liu Sheng, Luong Hiep Quang, Philips Wilfried. "Tensor Completion using Bilayer Multi-mode Low-rank Prior and Total Variation". IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (CCF推荐B类期刊, 中科院一区, 影响因子:14.255/2021) Xu Tingting(硕士生), Chen Yongyong*, Zeng Haijin, Zhang Guokai, Su Jingyong. "Smooth Tensor Qatar Riyal Decomposition for Dynamic MRI Reconstruction". IEEE Journal of Biomedical and Health Informatics (JBHI), 2023. (CCF推荐C类期刊, 中科院一区, 影响因子:7.021/2022) Wang Shuqin, Chen Yongyong, Lin Zhiping, Cen Yigang, Cao Qi. "Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-view Subspace Clustering". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (CCF推荐B类期刊, 中科院一区, 影响因子:5.859/2021) Chen Yongyong, Zhao Yin-Ping, Wang Shuqin, Chen Junxin, Zhang Zheng. "Partial Tubal Nuclear Norm Regularized Multi-view Subspace Learning". IEEE Transactions on Cybernetics, 2023. (CCF推荐B类期刊, 中科院一区, 影响因子:19.118) Su Jingyong, Ye Junyao, Nie Liqiang, Cao Yilong, Chen Yongyong*. "Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023. (CCF推荐A类期刊, 中科院一区, 影响因子:9.235/2021) Kong Xiaoyu(硕士生), Deng Yingying, Tang Fan, Dong Weiming, Ma Chongyang, Chen Yongyong, He Zhenyu, Xu Changsheng. "Exploring the Temporal Consistency of Arbitrary Style Transfer: A Channelwise Perspective". IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2023. (CCF推荐B类期刊, 中科院一区, 影响因子:14.255/2021) Zhou Zheng, Chen Yongyong, Zhou Yicong. "Deep Dynamic Memory Augmented Attentional Dictionary Learning for Image Denoising". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (CCF推荐B类期刊, 中科院一区, 影响因子:5.859/2021) Pan Honghu(博士生), Chen Yongyong, Xu Tingyang, He Yunqi, He Zhenyu. "Towards Complete-View and High-Level Pose-based Gait Recognition". IEEE Transactions on Information Forensics and Security (TIFS), 2023. (CCF推荐A类期刊, 中科院一区, 影响因子:7.231/2021) Pan Honghu(博士生), Chen Yongyong, He Zhenyu. "Multi-Granularity Graph Pooling for Video-based Person Re-Identification". Neural Networks, 2023. (CCF推荐B类期刊, 中科院二区, 影响因子:9.657/2021) Xu Tingting(硕士生), Kong Xiaoyu, Shen Qiangqiang, Chen Yongyong*, Zhou Yicong. "Deep and Low-Rank Quaternion Priors for Color Image Processing". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (CCF推荐B类期刊, 中科院一区, 影响因子:5.859/2021) Chen Yongyong, Xu Tingting, Zhao Xiaojia, Zeng Haijin, Xu Yanhui, Chen Junxin. "Asymmetry Total Variation and Framelet Regularized Nonconvex Low-Rank Tensor Completion". Signal Processing, 2023. (CCF推荐C类期刊, 中科院二区, 影响因子:4.729/2021) 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 Transactions on Dependable and Secure Computing (TDSC), 2022. (Top, CCF推荐A类期刊, 中科院一区, 影响因子:6.791/2021) Chen Yongyong, Wang Shuqin, Peng Chong, Hua Zhongyun, Zhou Yicong. "Generalized Nonconvex Low-rank Tensor Approximation for Multi-view Subspace Clustering". IEEE Transactions on Image Processing (TIP). 2021. (Top, CCF推荐A类期刊, 中科院一区, 影响因子:11.041/2021) Chen Yongyong, Xiao Xiaolin, Zhou Yicong. "Low-rank Quaternion Approximation for Color Image Processing". IEEE Transactions on Image Processing (TIP), 2019, 29: 1426-1439. (Top, CCF推荐A类期刊, 中科院一区, 影响因子:10.856/2020) Chen Yongyong, Xiao Xiaolin, Hua Zhongyun, Zhou Yicong. "Adaptive Transition Probability Matrix Learning for Multi-view Spectral Clustering". IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 33(9):4712-4726, 2022. (CCF推荐B类期刊, 中科院一区, 影响因子:14.255/2021) Chen Yongyong, Wang Shuqin, Xiao Xiaolin, Liu Youfa, Hua Zhongyun, Zhou Yicong. "Self-paced enhanced low-rank tensor kernelized multi-view subspace clustering". IEEE Transactions on Multimedia (TMM), 24:4054-4066, 2022. (CCF推荐B类期刊, 中科院一区, 影响因子:8.182/2021) Chen Yongyong, Xiao Xiaolin, Zhou Yicong. "Jointly Learning Kernel Representation Tensor and Affinity Matrix for Multi-view Clustering". IEEE Transactions on Multimedia (TMM), 2019, 22(8): 1985-1997. (CCF推荐B类期刊, 中科院一区, 影响因子:6.051/2019) Chen Yongyong, Xiaolin Xiao, Chong Peng, Guangming Lu, and Yicong Zhou. "Low-Rank Tensor Graph Learning for Multi-view Subspace Clustering". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 32(1): 92-104, 2022. (CCF推荐B类期刊, 中科院一区, 影响因子:5.859/2021) 赵晓佳(硕士生),徐婷婷,陈勇勇*,徐勇. "基于一步张量学习的多视图子空间聚类". 自动化学报, 2022. (CCF推荐A类中文期刊) Hua Zhongyun, Wang Ziyi, Zheng Yifeng, Chen Yongyong, Li Yuanman. "Enabling Large-Capacity Reversible Data Hiding over Encrypted JPEG Bitstreams". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (CCF推荐B类期刊, 中科院一区, 影响因子:5.859/2021) Junxin Chen, Zhihuan Guo, Xu Xu, Libo Zhang, Yue Teng, Yongyong Chen, Marcin Wo′zniak, Wei Wang. "A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification". IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023. (CCF推荐B类期刊, 中科院三区, 影响因子:8.182/2021) Qiangqiang Shen(博士生), Shuangyan Yi, Yongsheng Liang*, Yongyong Chen*, Wei Liu. "Bilateral Fast Low-Rank Representation with Equivalent Transformation for Subspace Clustering". IEEE Transactions on Multimedia (TMM), 2022. (CCF推荐B类期刊, 中科院一区, 影响因子:3.702/2021) Kuiyuan Zhang(博士生), Zhongyun Hua, Yuanman Li, Yongyong Chen, Yicong Zhou. "AMS-Net: Adaptive Multi-Scale Network for Image Compressive Sensing". IEEE Transactions on Multimedia (TMM), 2022. (CCF推荐B类期刊, 中科院一区, 影响因子:8.182/2021) Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, and Qiang Cheng."Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization". IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. (CCF推荐B类期刊, 中科院二区, 影响因子:8.125/2021) Lele Fu, Zhaoliang Chen, Yongyong Chen, and Shiping Wang. "Unified Low-rank Tensor Learning and Spectral Embedding for Multi-view Subspace Clustering". IEEE Transactions on Multimedia (TMM), 2022. (CCF推荐B类期刊, 中科院一区, 影响因子:8.182/2021) 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 Transactions on Computational Biology and Bioinformatics, 2022. (影响因子:3.710/2020) Shuqin Wang, Yongyong Chen, Linna Zhang, Yigang Cen, Viacheslav Voronin. "Hyper-Laplacian Regularized Nonconvex Low-rank Representation for Multi-view Subspace Clustering". IEEE Transactions on Signal and Information Processing over Networks, 2022. (影响因子:3.364/2020) 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 Transactions on Network Science and Engineering, 2022. (影响因子:5.033/2021) Chen Yongyong, Guo Yanwen, Wang Yongli, et al. "Denoising of Hyperspectral Images using Nonconvex Low-Rank Matrix Approximation". IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2017, 55(9):536-5380. (CCF推荐B类期刊, 中科院二区, 影响因子:4.662/2017) Chen Yongyong, Wang Shuqin, Zhou Yicong. "Tensor Nuclear Norm-based Low-rank Approximation with Total Variation Regularization". IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2018, 12(6): 1364-1377. (中科院一区, 影响因子:6.688/2018) Chen Yongyong, Xiao Xiaolin, Zhou Yicong. "Multi-view Subspace Clustering via Simultaneously Learning Representation Tensor and Affinity Matrix". Pattern Recognition (PR), 2020. (CCF推荐B类期刊, 中科院二区, 影响因子:7.740/2020) Chen Yongyong, Li Jiaxue, Zhou Yicong. "Hyperspectral Image Denoising by Total Variation-regularized Bilinear Factorization". Signal Processing (SP), 2020. (CCF推荐C类期刊 中科院二区, 影响因子:4.662/2020) Chen Yongyong, et al. "Graph-regularized Least Squares Regression for Multi-view Subspace Clustering". Knowledge-based Systems, 2020. (CCF推荐C类期刊 中科院二区, 影响因子:8.038/2020) Chen Yongyong, Fangfang Xu, "Randomized algorithms for orthogonal nonnegative matrix factorization", Journal of the Operations Research Society of China. 2020 Wenjue He(硕士生), Zheng Zhang*, Yongyong Chen*, Jie Wen. "Structured Anchor-inferred Graph Learning for Universal Incomplete Multi-view Clustering". World Wide Web Journal, 2022. (CCF推荐B类期刊, 中科院一区, 影响因子:2.716/2020) Hua Zhongyun, Chen Yongyong*, Bao Han*, Zhou Yicong. "Two-Dimensional Parametric Polynomial Chaotic System". IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(7): 4402-4414, 2022. (影响因子:13.451/2020) Guokai Zhang, Weizhe Xu, Wei Zhao, Chenxi Huang, Eddie Ng Yk, Chen Yongyong*, Jian Su*, "A multi-scale attention (MSA) network for remote sensing scene images classification", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. (影响因子:3.784/2020) Xiao Xiaolin, Chen Yongyong, et al. "Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction". IEEE Transactions on Image Processing (TIP), 2020, 30: 108-120. (TOP, CCF推荐A类期刊, 中科院一区, 影响因子:10.856/2020) Xiao Xiaolin, Chen Yongyong, Zhou Yicong. "Two-Dimensional Quaternion Sparse Discriminant Analysis". IEEE Transactions on Image Processing (TIP), 2019, 29: 2271-2286. (TOP, CCF推荐A类期刊, 中科院一区, 影响因子:9.340/2019) Xiao Xiaolin, Chen Yongyong, Zhou Yicong. "Prior Knowledge Regularized Multi-View Self-Representation and Its Applications". IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2020. (CCF推荐B类期刊, 中科院一区, 影响因子:8.793/2019) Pan Honghu(博士生), Chen Yongyong, He Zhenyu*, Meng Fanyang, Fan Nana. "TCDesc: Learning Topology Consistent Descriptors for Image Matching". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), in press, 2021. (CCF推荐B类期刊, 中科院一区, 影响因子:4.685/2020) Zeng Haijin, Chen Yongyong, Xie Xiaozhen, Ning Jifeng. "Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion". IEEE Transactions on Computational Imaging (TCI). 2021. (中科院二区, 影响因子:3.490/2020) Wang Shuqin, Chen Yongyong, et al. "Error-Robust Low-rank Tensor Approximation for Multi-view Clustering", Knowledge-based Systems, 2020. (CCF推荐C类期刊, 中科院一区, 影响因子:8.038/2020) Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng. "Learning discriminative representation for image classification". Knowledge-Based Systems, 2021. (CCF推荐C类期刊, 中科院一区, 影响因子:8.038/2020) 会议论文 Liuhan Chen(本科生), Yirao Wang(本科生), Yongyong Chen*. "End-to-end XY Separation for Single Image Blind Deblurring", ACM Multimedia 2023. (CCF-A类多媒体顶级会议) An Junfeng, Li Yingjian, Zhang Zheng, Chen Yongyong, Lu Guangming. "High-Order Correlation Embedding for Large-Scale Multi-modal Hashing", Web and Big Data: 6th International Joint Conference, APWeb-WAIM, 2023. Chen Yongyong, Wang Shuqin, Su Jingyong, Chen Junxin. "Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering", The IEEE International Conference on Data Mining (ICDM), 2022. (CCF-B类数据挖掘会议) Chen Yongyong, Wang Shuqin, Peng Chong, Lu Guangming, Zhou Yicong. "Partial Tubal Nuclear Norm Regularized Multi-view Learning", The 29th ACM International Conference on Multimedia (ACMMM), 2021. (CCF-A类多媒体顶级会议) Wang Shuqin, Chen Yongyong, Cen Yigang, Zhang Linna, Viacheslav Voronin. "Low-rank and Sparse Tensor Representation for Multi-view Subspace Clustering", The 28th IEEE International Conference on Image Processing (ICIP), 2021. (CCF-C) Liu Yang, Zhang Qian, Chen Yongyong, Cheng Qiang, Peng Chong. "Hyperspectral Image Denoising With Log-based Robust PCA", The 28th IEEE International Conference on Image Processing (ICIP), 2021. (CCF-C) Chen Yongyong, Xiao Xiaolin, Zhou Yicong. "Multi-view Clustering via Jointly Learning Graph Regularized Low-rank Tensor Representation and Affinity Matrix," IEEE International Conference on Multimedia and Expo (ICME), pp.1348--1353, 2019. (CCF-B) Chen Yongyong, Zhou Yicong. "Robust Principal Component Analysis with Matrix Factorization", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2411--2415, 2018. (CCF-B)

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