Jun Yin

49 papers A* 4B 1Misc 1Journal 39Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Clustering result re-guided incomplete multi-view spectral clustering.
Inf. Fusion
Jun Yin, Runcheng Cai, Shiliang Sun
2026 J jnl
Dual aggregation based joint-modal similarity hashing for cross-modal retrieval.
Neural Networks
Le Xu, Jun Yin
2026 J jnl
Filtering and denoising: Graph completion-based incomplete multi-view clustering.
Inf. Fusion
Fengyang Ding, Hui Huang, Min Yu, Wei Jiang, Zhen Xu, Jun Yin, Nan Zhang
2026 J jnl
Neighborhood context-aware contrastive clustering.
Expert Syst. Appl.
Jun Yin, Pengfei Cui, Minghua Wan
2026 J jnl
Reinforced semantic information acquiring for contrastive clustering.
Eng. Appl. Artif. Intell.
Pengfei Cui, Haowei Wu, Jun Yin
2026 J jnl
Robust locality regularized non-negative matrix factorization with structure preservation for image classification.
Pattern Recognit.
Minghua Wan, Ying Zhao, Jun Yin, Chengli Sun, Guowei Yang
2025 J jnl
Clustering Result Re-guided Incomplete Multi-view Spectral Clustering.
CoRR
Jun Yin, Runcheng Cai, Shiliang Sun
2025 J jnl
Incomplete Multi-View Clustering via Multi-Level Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Jun Yin, Pei Wang, Shiliang Sun, Zhonglong Zheng
2025 A* conf
Neighbor Contrastive Learning with Weakened Consensus Graph for Deep Multi-View Clustering.
ACM Multimedia
Kai Zhu, Jun Yin
2025 J jnl
Random image masking and in-batch feature mixing for self-supervised learning.
Expert Syst. Appl.
Guiyu Li, Jun Yin
2024 J jnl
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction.
CoRR
Dubing Chen, Jin Fang, Wencheng Han, Xinjing Cheng, Jun Yin, Chenzhong Xu, Fahad Shahbaz Khan, Jianbing Shen
2024 A* conf
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving.
AAAI
Jun Yin, Shiliang Sun, Lai Wei, Pei Wang
2024 J jnl
Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction.
Inf. Fusion
Chenyu Lu, Jun Yin, Hao Yang, Shiliang Sun
2024 A* conf
Graph based Consistency Learning for Contrastive Multi-View Clustering.
ACM Multimedia
Binbin Xu, Jun Yin, Nan Zhang
2024 — conf
RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception.
ECCV (32)
Chunliang Li, Wencheng Han, Jun Yin, Sanyuan Zhao, Jianbing Shen
2024 J jnl
Tensor Low-Rank Graph Embedding and Learning for One-Step Incomplete Multi-View Clustering.
IEEE Trans. Multim.
Minghua Wan, Jingyu Zhu, Chengli Sun, Zhangjing Yang, Jun Yin, Guowei Yang
2023 A* conf
Adaptive Graph Convolutional Subspace Clustering.
CVPR
Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu
2023 J jnl
Adaptive Graph Convolutional Subspace Clustering.
CoRR
Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu
2023 J jnl
Effective sample pairs based contrastive learning for clustering.
Inf. Fusion
Jun Yin, Haowei Wu, Shiliang Sun
2023 J jnl
Incomplete Multi-View Clustering With Reconstructed Views.
IEEE Trans. Knowl. Data Eng.
Jun Yin, Shiliang Sun
2023 J jnl
Multi-view multi-label learning with double orders manifold preserving.
Appl. Intell.
Jun Yin, Wentao Zhang
2022 J jnl
Anchor-based incomplete multi-view spectral clustering.
Neurocomputing
Jun Yin, Runcheng Cai, Shiliang Sun
2022 J jnl
Incomplete multi-view clustering with cosine similarity.
Pattern Recognit.
Jun Yin, Shiliang Sun
2021 — conf
The Ninth Visual Object Tracking VOT2021 Challenge Results.
ICCVW
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, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Sai S. 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 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
2020 J jnl
Adaptive graph-regularized fixed rank representation for subspace segmentation.
Pattern Anal. Appl.
Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin
2020 J jnl
Multiview Uncorrelated Locality Preserving Projection.
IEEE Trans. Neural Networks Learn. Syst.
Jun Yin, Shiliang Sun
2020 — conf
The Eighth Visual Object Tracking VOT2020 Challenge Results.
ECCV Workshops (5)
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, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma
2019 J jnl
An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation.
Neural Process. Lett.
Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang
2019 J jnl
Latent graph-regularized inductive robust principal component analysis.
Knowl. Based Syst.
Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu
2019 J jnl
Subspace segmentation via self-regularized latent
Expert Syst. Appl.
Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang
2018 J jnl
An improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis.
Medical Biol. Eng. Comput.
Yuhu Shi, Weiming Zeng, Xiaoyan Tang, Wei Kong, Jun Yin
2018 J jnl
Local sparsity preserving projection and its application to biometric recognition.
Multim. Tools Appl.
Jun Yin, Zhihui lai, Weiming Zeng, Lai Wei
2017 J jnl
Self-regularized fixed-rank representation for subspace segmentation.
Inf. Sci.
Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu
2016 J jnl
A Novel Brain Networks Enhancement Model (BNEM) for BOLD fMRI Data Analysis With Highly Spatial Reproducibility.
IEEE J. Biomed. Health Informatics
Nizhuan Wang, Weiming Zeng, Dongtailang Chen, Jun Yin, Lei Chen
2016 J jnl
Optimal feature extraction methods for classification methods and their applications to biometric recognition.
Knowl. Based Syst.
Jun Yin, Weiming Zeng, Lai Wei
2016 J jnl
Optimized projection for Collaborative Representation based Classification and its applications to face recognition.
Pattern Recognit. Lett.
Jun Yin, Lai Wei, Miao Song, Weiming Zeng
2016 J jnl
Spectral clustering steered low-rank representation for subspace segmentation.
J. Vis. Commun. Image Represent.
Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu
2015 J jnl
GPU-based parallel group ICA for functional magnetic resonance data.
Comput. Methods Programs Biomed.
Yanshan Jing, Weiming Zeng, Nizhuan Wang, Tianlong Ren, Yingchao Shi, Jun Yin, Qi Xu
2015 J jnl
Latent space robust subspace segmentation based on low-rank and locality constraints.
Expert Syst. Appl.
Lai Wei, Aihua Wu, Jun Yin
2014 J jnl
Kernel locality-constrained collaborative representation based discriminant analysis.
Knowl. Based Syst.
Lai Wei, Feifei Xu, Jun Yin, Aihua Wu
2013 J jnl
Image classification using kernel collaborative representation with regularized least square.
Appl. Math. Comput.
Wankou Yang, Zhenyu Wang, Jun Yin, Changyin Sun, Karl Ricanek
2013 — conf
Kernel Collaborative Representation with Regularized Least Square for Face Recognition.
CCBR
Zhenyu Wang, Wankou Yang, Jun Yin, Changyin Sun
2012 J jnl
Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics.
Mach. Vis. Appl.
Minghua Wan, Ming Li, Zhihui lai, Jun Yin, Zhong Jin
2012 J jnl
From NLDA to LDA/GSVD: a modified NLDA algorithm.
Neural Comput. Appl.
Jun Yin, Zhong Jin
2012 J jnl
Kernel sparse representation based classification.
Neurocomputing
Jun Yin, Zhonghua Liu, Zhong Jin, Wankou Yang
2012 J jnl
Weighted linear embedding: utilizing local and nonlocal information sufficiently.
Neural Comput. Appl.
Jun Yin, Jingbo Zhou, Zhong Jin, Jian Yang
2010 B conf
A modified NLDA algorithm.
ICIP
Jun Yin, Zhong Jin
2010 Misc conf
Face recognition based on the quotient image method and sparse representation.
ICNC
Zhonghua Liu, Jingbo Zhou, Jun Yin, Zhong Jin
2010 J jnl
Normalized Direct Linear Discriminant Analysis with its Application to Face Recognition.
J. Digit. Content Technol. its Appl.
Jun Yin, Zhong Jin, Jingbo Zhou