A Co-channel Interference Cancellation Algorithm for Fast FHMA System. - Chuanqing Liu; Xinlin Hu; Yunyu Zhang; Ming Yin 002 (ICN/ICONS/MCL, 2006)

Research on Adaptive Error Concealment for Video Transmission over packet-lossy channel. - Ming Yin 002; Yun Xie; Fen Guo; Shuting Cai (SNPD (2), 2007)

Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation. - Ming Yin 002; Yun Xie; Fen Guo; Shuting Cai (SNPD (2), 2007)

FPGA Implementation of Generalized Fuzzy Operations. - Shuting Cai; Xuesong Chen; Qinruo Wang; Ming Yin 002 (FSKD (3), 2008)

Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. - Junbin Gao; Yi Guo 001; Ming Yin 002 (ICIP, 2013)

Robust face recognition via double low-rank matrix recovery for feature extraction. - Ming Yin 002; Shuting Cai; Junbin Gao (ICIP, 2013)

Blocky artifact removal with low-rank matrix recovery. - Ming Yin 002; Junbin Gao; Yanfeng Sun; Shuting Cai (ICASSP, 2014)

Linear Subspace Learning via sparse dimension reduction. - Ming Yin 002; Yi Guo 001; Junbin Gao (IJCNN, 2014)

Blind image deblurring via coupled sparse representation. - Ming Yin 002; Junbin Gao; David Tien; Shuting Cai (J. Vis. Commun. Image Represent., 2014)

Low rank sequential subspace clustering. - Yi Guo 001; Junbin Gao; Feng Li 003; Stephen Tierney; Ming Yin 002 (IJCNN, 2015)

Representing Data by Sparse Combination of Contextual Data Points for Classification. - Jingyan Wang; Yihua Zhou; Ming Yin 002; Shaochang Chen; Benjamin Edwards (ISNN, 2015)

Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models. - Ming Yin 002; Junbin Gao; Daming Shi 001; Shuting Cai (Circuits Syst. Signal Process., 2015)

Image super-resolution via 2D tensor regression learning. - Ming Yin 002; Junbin Gao; Shuting Cai (Comput. Vis. Image Underst., 2015)

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. - Ming Yin 002; Junbin Gao; Zhouchen Lin; Qinfeng Shi; Yi Guo 001 (IEEE Trans. Image Process., 2015)

Semi-supervised Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. - Ming Yin 002; Xiaozhao Fang; Shengli Xie (CCPR (1), 2016)

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. - Ming Yin 002; Yi Guo 001; Junbin Gao; Zhaoshui He; Shengli Xie (CVPR, 2016)

Low-rank Multi-view Clustering in Third-Order Tensor Space. - Ming Yin 002; Junbin Gao; Shengli Xie; Yi Guo 001 (CoRR, 2016)

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices. - Ming Yin 002; Shengli Xie; Yi Guo 001; Junbin Gao; Yun Zhang 001 (CoRR, 2016)

Laplacian Regularized Low-Rank Representation and Its Applications. - Ming Yin 002; Junbin Gao; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Subspace clustering via independent subspace analysis network. - Chunchen Su; Zongze Wu 001; Ming Yin 002; Kaixin Li; Weijun Sun (ICIP, 2017)

Supervised learning of sparse context reconstruction coefficients for data representation and classification. - Xuejie Liu; Jingbin Wang; Ming Yin 002; Benjamin Edwards; Peijuan Xu (Neural Comput. Appl., 2017)

Robust Regression with Nonconvex Schatten p-Norm Minimization. - Deyu Zeng; Ming Yin 002; Shengli Xie; Zongze Wu 001 (ICONIP (2), 2018)

Locally adaptive sparse representation on Riemannian manifolds for robust classification. - Ming Yin 002; Zongze Wu 001; Daming Shi 001; Junbin Gao; Shengli Xie (Neurocomputing, 2018)

Sparse subspace clustering with jointly learning representation and affinity matrix. - Ming Yin 002; Zongze Wu 001; Deyu Zeng; Panshuo Li; Shengli Xie (J. Frankl. Inst., 2018)

Robust Multinomial Logistic Regression Based on RPCA. - Ming Yin 002; Deyu Zeng; Junbin Gao; Zongze Wu 001; Shengli Xie (IEEE J. Sel. Top. Signal Process., 2018)

Robust Spectral Subspace Clustering Based on Least Square Regression. - Zongze Wu 001; Ming Yin 002; Yajing Zhou; Xiaozhao Fang; Shengli Xie (Neural Process. Lett., 2018)

Subspace Clustering via Learning an Adaptive Low-Rank Graph. - Ming Yin 002; Shengli Xie; Zongze Wu 001; Yun Zhang 001; Junbin Gao (IEEE Trans. Image Process., 2018)

Deep Stacked Bidirectional LSTM Neural Network for Skeleton-Based Action Recognition. - Kai Zou; Ming Yin 002; Weitian Huang; Yiqiu Zeng (ICIG (1), 2019)

Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation. - Toufique Ahmed Soomro; Ahmed J. Afifi; Ahmed Ali; Shafiullah Soomro; Gulsher Baloch; Lihong Zheng; Ming Yin 002; Junbin Gao (IEEE Access, 2019)

Multi-view low-rank matrix factorization using multiple manifold regularization. - Shengxiang Gao; Zhengtao Yu 001; Taisong Jin; Ming Yin 002 (Neurocomputing, 2019)

Deep Clustering via Weighted k-Subspace Network. - Weitian Huang; Ming Yin 002; Jianzhong Li; Shengli Xie (IEEE Signal Process. Lett., 2019)

Multiview Subspace Clustering via Tensorial t-Product Representation. - Ming Yin 002; Junbin Gao; Shengli Xie; Yi Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Shared Generative Latent Representation Learning for Multi-View Clustering. - Ming Yin 002; Weitian Huang; Junbin Gao (AAAI, 2020)

Block diagonal representation learning for robust subspace clustering. - Lijuan Wang; Jiawen Huang; Ming Yin 002; Ruichu Cai; Zhifeng Hao (Inf. Sci., 2020)

Multi-view Spectral Clustering With Adaptive Local Neighbors. - Lijuan Wang; Jinping Xing; Ming Yin 002; Xinxuan Huang (PAAP, 2021)

Atrous spatial pyramid convolution for object detection with encoder-decoder. - Feiran Jie; Qingfeng Nie; Mingsuo Li; Ming Yin 002; Taisong Jin (Neurocomputing, 2021)

Cauchy loss induced block diagonal representation for robust multi-view subspace clustering. - Ming Yin 002; Wei Liu; Mingsuo Li; Taisong Jin; Rongrong Ji (Neurocomputing, 2021)

Subspace clustering via stacked independent subspace analysis networks with sparse prior information. - Zongze Wu 001; Chunchen Su; Ming Yin 002; Zhigang Ren; Shengli Xie (Pattern Recognit. Lett., 2021)

Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. - Toufique Ahmed Soomro; Lihong Zheng; Ahmed J. Afifi; Ahmed Ali; Ming Yin 002; Junbin Gao (Artif. Intell. Rev., 2022)

Double embedding-transfer-based multi-view spectral clustering. - Lijuan Wang; Lin Zhang; Ming Yin 002; Zhifeng Hao; Ruichu Cai; Wen Wen (Expert Syst. Appl., 2022)

View knowledge transfer network for multi-view action recognition. - Zixi Liang; Ming Yin 002; Junli Gao; Yicheng He; Weitian Huang (Image Vis. Comput., 2022)

A Cooperative Spectrum Sensing Method Based on Soft Low-Rank Subspace Clustering. - Shuwan Ma; Yonghua Wang 001; Jinxuan Ren; Ming Yin 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image. - Ming Yin 002; Toufique Ahmed Soomro; Fayyaz Ali Jandan; Ayoub Fatihi; Faisal Bin Ubaid; Muhammad Irfan 008; Ahmed J. Afifi; Saifur Rahman; Sergii Telenyk; Grzegorz Nowakowski (IEEE Access, 2023)

Learning latent embedding via weighted projection matrix alignment for incomplete multi-view clustering. - Ming Yin 002; Xiaohua Liu; Liuyang Wang; Guoliang He (Inf. Sci., 2023)

Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data. - Guoliang He; Wenjun Jiang; Rong Peng; Ming Yin 002; Min Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A symmetric low-rank subspace clustering method for cooperative spectrum sensing in complex environments. - Yonghua Wang 001; Shuwan Ma; Ningkang Liao; Yongwei Zhang 002; Ming Yin 002 (Phys. Commun., 2024)

Viewpoint guided multi-stream neural network for skeleton action recognition. - Yicheng He; Zixi Liang; Shaocong He; Yonghua Wang 001; Ming Yin 002 (Multim. Tools Appl., 2024)

Block diagonal representation learning with local invariance for face clustering. - Lijuan Wang; Shaomin Chen; Ming Yin 002; Zhifeng Hao; Ruichu Cai (Soft Comput., 2024)

Multi-SSALvcAE: Self-Supervised Adversarial Learning-Based View-Common Latent AutoEncoders for Multiview Clustering. - Ming Yin 002; Rui Chen; Renjun Lin; Yonghua Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

MVAIBNet: Multiview Disentangled Representation Learning With Information Bottleneck. - Ming Yin 002; Xin Liu; Junli Gao; Haoliang Yuan; Taisong Jin; Shengwei Zhang; Lingling Li (IEEE Trans. Ind. Informatics, 2024)

K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach. - Linhuang Xie; Shihao Gao; Jie Liu; Ming Yin 002; Taisong Jin (AAAI, 2025)

Large-scale fine-grained image retrieval via Proxy Mask Pooling and multilateral semantic relations. - Xianxian Zeng; Jie Zhou; Dunhao Liu; Jun Yuan; Ming Yin 002; Weichao Xu; Shun Liu (Knowl. Based Syst., 2025)