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ORCIDJun Yin 0003
Person information
- affiliation: Shanghai Maritime University, Department of Computer Science, China
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Technology, China
Other persons with the same name
- Jun Yin — disambiguation page
- Jun Yin 0001
![[0000-0002-4195-4551]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4195-4551")
— University of Macau, State Key Laboratory of Analog and Mixed-Signal VLSI, China (and 1 more) - Jun Yin 0002 — Harvard University, Department of Physics, Cambridge, MA, USA
- Jun Yin 0004 — Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory for Broadband Wireless Communication and Internet of Things, China (and 1 more)
Other persons with a similar name
- Yin-Jun Chen
- Yin-Jun Gao
- Yin Jun
- Yin-Jun Miao
- Yin Jun Phua
- Jun-Feng Yin
- Jun-Hui Yin
- Lijun Yin (aka: Li-Jun Yin) — disambiguation page
- Wenjun Yin (aka: Wen Jun Yin)
- Zhong Jun Yin
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2020 – today
- 2024
[j28]Chenyu Lu, Jun Yin, Hao Yang, Shiliang Sun:
Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction. Inf. Fusion 107: 102302 (2024)- [j27]Minghua Wan, Jingyu Zhu, Chengli Sun, Zhangjing Yang, Jun Yin, Guowei Yang:
Tensor Low-Rank Graph Embedding and Learning for One-Step Incomplete Multi-View Clustering. IEEE Trans. Multim. 26: 9763-9775 (2024) - [c7]Jun Yin, Shiliang Sun, Lai Wei, Pei Wang:
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. AAAI 2024: 16478-16485 - 2023
- [j26]Jun Yin, Wentao Zhang:
Multi-view multi-label learning with double orders manifold preserving. Appl. Intell. 53(12): 14703-14716 (2023) - [j25]Jun Yin, Haowei Wu, Shiliang Sun:
Effective sample pairs based contrastive learning for clustering. Inf. Fusion 99: 101899 (2023) - [j24]Jun Yin, Shiliang Sun:
Incomplete Multi-View Clustering With Reconstructed Views. IEEE Trans. Knowl. Data Eng. 35(3): 2671-2682 (2023) - [c6]Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu:
Adaptive Graph Convolutional Subspace Clustering. CVPR 2023: 6262-6271 - [i1]Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu:
Adaptive Graph Convolutional Subspace Clustering. CoRR abs/2305.03414 (2023) - 2022
- [j23]Jun Yin, Runcheng Cai, Shiliang Sun:
Anchor-based incomplete multi-view spectral clustering. Neurocomputing 514: 526-538 (2022) - [j22]Jun Yin, Shiliang Sun:
Incomplete multi-view clustering with cosine similarity. Pattern Recognit. 123: 108371 (2022) - 2021
- [c5]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - 2020
- [j21]Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin:
Adaptive graph-regularized fixed rank representation for subspace segmentation. Pattern Anal. Appl. 23(1): 443-453 (2020) - [j20]Jun Yin, Shiliang Sun:
Multiview Uncorrelated Locality Preserving Projection. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3442-3455 (2020) - [c4]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601
2010 – 2019
- 2019
- [j19]Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang:
Subspace segmentation via self-regularized latent K-means. Expert Syst. Appl. 136: 316-326 (2019) - [j18]Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu:
Latent graph-regularized inductive robust principal component analysis. Knowl. Based Syst. 177: 68-81 (2019) - [j17]Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang:
An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation. Neural Process. Lett. 50(2): 1035-1050 (2019) - 2018
- [j16]Yuhu Shi, Weiming Zeng, Xiaoyan Tang, Wei Kong, Jun Yin:
An improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis. Medical Biol. Eng. Comput. 56(4): 683-694 (2018) - [j15]Jun Yin, Zhihui Lai, Weiming Zeng, Lai Wei:
Local sparsity preserving projection and its application to biometric recognition. Multim. Tools Appl. 77(1): 1069-1092 (2018) - 2017
- [j14]Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu:
Self-regularized fixed-rank representation for subspace segmentation. Inf. Sci. 412: 194-209 (2017) - 2016
- [j13]Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu:
Spectral clustering steered low-rank representation for subspace segmentation. J. Vis. Commun. Image Represent. 38: 386-395 (2016) - [j12]Jun Yin, Weiming Zeng, Lai Wei:
Optimal feature extraction methods for classification methods and their applications to biometric recognition. Knowl. Based Syst. 99: 112-122 (2016) - [j11]Jun Yin, Lai Wei, Miao Song, Weiming Zeng:
Optimized projection for Collaborative Representation based Classification and its applications to face recognition. Pattern Recognit. Lett. 73: 83-90 (2016) - [j10]Nizhuan Wang, Weiming Zeng, Dongtailang Chen, Jun Yin, Lei Chen:
A Novel Brain Networks Enhancement Model (BNEM) for BOLD fMRI Data Analysis With Highly Spatial Reproducibility. IEEE J. Biomed. Health Informatics 20(4): 1107-1119 (2016) - 2015
- [j9]Yanshan Jing, Weiming Zeng, Nizhuan Wang, Tianlong Ren, Yingchao Shi, Jun Yin, Qi Xu:
GPU-based parallel group ICA for functional magnetic resonance data. Comput. Methods Programs Biomed. 119(1): 9-16 (2015) - [j8]Lai Wei, Aihua Wu, Jun Yin:
Latent space robust subspace segmentation based on low-rank and locality constraints. Expert Syst. Appl. 42(19): 6598-6608 (2015) - 2014
- [j7]Lai Wei, Feifei Xu, Jun Yin, Aihua Wu:
Kernel locality-constrained collaborative representation based discriminant analysis. Knowl. Based Syst. 70: 212-220 (2014) - 2013
- [j6]Wankou Yang, Zhenyu Wang, Jun Yin, Changyin Sun, Karl Ricanek:
Image classification using kernel collaborative representation with regularized least square. Appl. Math. Comput. 222: 13-28 (2013) - [c3]Zhenyu Wang, Wankou Yang, Jun Yin, Changyin Sun:
Kernel Collaborative Representation with Regularized Least Square for Face Recognition. CCBR 2013: 130-137 - 2012
- [j5]Jun Yin, Zhonghua Liu, Zhong Jin, Wankou Yang:
Kernel sparse representation based classification. Neurocomputing 77(1): 120-128 (2012) - [j4]Minghua Wan, Ming Li, Zhihui Lai, Jun Yin, Zhong Jin:
Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics. Mach. Vis. Appl. 23(5): 985-997 (2012) - [j3]Jun Yin, Zhong Jin:
From NLDA to LDA/GSVD: a modified NLDA algorithm. Neural Comput. Appl. 21(7): 1575-1583 (2012) - [j2]Jun Yin, Jingbo Zhou, Zhong Jin, Jian Yang:
Weighted linear embedding: utilizing local and nonlocal information sufficiently. Neural Comput. Appl. 21(8): 1845-1853 (2012) - 2010
- [j1]Jun Yin, Zhong Jin, Jingbo Zhou:
Normalized Direct Linear Discriminant Analysis with its Application to Face Recognition. J. Digit. Content Technol. its Appl. 4(9): 242-251 (2010) - [c2]Jun Yin, Zhong Jin:
A modified NLDA algorithm. ICIP 2010: 4513-4516 - [c1]Zhonghua Liu, Jingbo Zhou, Jun Yin, Zhong Jin:
Face recognition based on the quotient image method and sparse representation. ICNC 2010: 967-971
Coauthor Index
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