Ming Yin

58 papers A* 3B 6C 1Misc 1Journal 39Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
CMAC-Net: Cascade Multi-Scale Attention Convolution Network for diabetic retinopathy lesion segmentation.
Biomed. Signal Process. Control.
Haowei Chen, Ming Yin, Yi Guo, Toufique Ahmed Soomro
2025 B conf
Balanced Learning for Incremental Multi-view Clustering.
PRICAI
Lijuan Wang, Feng Chen, Ming Yin, Zhifeng Hao, Ruichu Cai, Wei Chen, Xuan Xiong
2025 J jnl
Flexible disentangled representation learning with soft-splitting for multi-view data.
Image Vis. Comput.
Xunzhan Yao, Ming Yin, Yonghua Wang, Yi Guo
2025 A* conf
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach.
AAAI
Linhuang Xie, Shihao Gao, Jie Liu, Ming Yin, Taisong Jin
2025 J jnl
Large-scale fine-grained image retrieval via Proxy Mask Pooling and multilateral semantic relations.
Knowl. Based Syst.
Xianxian Zeng, Jie Zhou, Dunhao Liu, Jun Yuan, Ming Yin, Weichao Xu, Shun Liu
2024 J jnl
A symmetric low-rank subspace clustering method for cooperative spectrum sensing in complex environments.
Phys. Commun.
Yonghua Wang, Shuwan Ma, Ningkang Liao, Yongwei Zhang, Ming Yin
2024 J jnl
Block diagonal representation learning with local invariance for face clustering.
Soft Comput.
Lijuan Wang, Shaomin Chen, Ming Yin, Zhifeng Hao, Ruichu Cai
2024 J jnl
MVAIBNet: Multiview Disentangled Representation Learning With Information Bottleneck.
IEEE Trans. Ind. Informatics
Ming Yin, Xin Liu, Junli Gao, Haoliang Yuan, Taisong Jin, Shengwei Zhang, Lingling Li
2024 J jnl
Multi-SSALvcAE: Self-Supervised Adversarial Learning-Based View-Common Latent AutoEncoders for Multiview Clustering.
IEEE Trans. Syst. Man Cybern. Syst.
Ming Yin, Rui Chen, Renjun Lin, Yonghua Wang
2024 J jnl
Viewpoint guided multi-stream neural network for skeleton action recognition.
Multim. Tools Appl.
Yicheng He, Zixi Liang, Shaocong He, Yonghua Wang, Ming Yin
2023 J jnl
Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image.
IEEE Access
Ming Yin, Toufique Ahmed Soomro, Fayyaz Ali Jandan, Ayoub Fatihi, Faisal Bin Ubaid, Muhammad Irfan, Ahmed J. Afifi, Saifur Rahman, Sergii Telenyk, Grzegorz Nowakowski
2023 J jnl
Learning latent embedding via weighted projection matrix alignment for incomplete multi-view clustering.
Inf. Sci.
Ming Yin, Xiaohua Liu, Liuyang Wang, Guoliang He
2023 J jnl
Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data.
IEEE Trans. Neural Networks Learn. Syst.
Guoliang He, Wenjun Jiang, Rong Peng, Ming Yin, Min Han
2022 J jnl
A Cooperative Spectrum Sensing Method Based on Soft Low-Rank Subspace Clustering.
IEEE Trans. Circuits Syst. II Express Briefs
Shuwan Ma, Yonghua Wang, Jinxuan Ren, Ming Yin
2022 J jnl
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research.
Artif. Intell. Rev.
Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Junbin Gao
2022 J jnl
Double embedding-transfer-based multi-view spectral clustering.
Expert Syst. Appl.
Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen
2022 J jnl
View knowledge transfer network for multi-view action recognition.
Image Vis. Comput.
Zixi Liang, Ming Yin, Junli Gao, Yicheng He, Weitian Huang
2021 J jnl
Atrous spatial pyramid convolution for object detection with encoder-decoder.
Neurocomputing
Feiran Jie, Qingfeng Nie, Mingsuo Li, Ming Yin, Taisong Jin
2021 J jnl
Cauchy loss induced block diagonal representation for robust multi-view subspace clustering.
Neurocomputing
Ming Yin, Wei Liu, Mingsuo Li, Taisong Jin, Rongrong Ji
2021 — conf
Multi-view Spectral Clustering With Adaptive Local Neighbors.
PAAP
Lijuan Wang, Jinping Xing, Ming Yin, Xinxuan Huang
2021 J jnl
Subspace clustering via stacked independent subspace analysis networks with sparse prior information.
Pattern Recognit. Lett.
Zongze Wu, Chunchen Su, Ming Yin, Zhigang Ren, Shengli Xie
2020 J jnl
Block diagonal representation learning for robust subspace clustering.
Inf. Sci.
Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao
2020 A* conf
Shared Generative Latent Representation Learning for Multi-View Clustering.
AAAI
Ming Yin, Weitian Huang, Junbin Gao
2019 J jnl
Deep Clustering via Weighted k-Subspace Network.
IEEE Signal Process. Lett.
Weitian Huang, Ming Yin, Jianzhong Li, Shengli Xie
2019 — conf
Deep Stacked Bidirectional LSTM Neural Network for Skeleton-Based Action Recognition.
ICIG (1)
Kai Zou, Ming Yin, Weitian Huang, Yiqiu Zeng
2019 J jnl
Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation.
IEEE Access
Toufique Ahmed Soomro, Ahmed J. Afifi, Ahmed Ali, Shafiullah Soomro, Gulsher Baloch, Lihong Zheng, Ming Yin, Junbin Gao
2019 J jnl
Multi-view low-rank matrix factorization using multiple manifold regularization.
Neurocomputing
Shengxiang Gao, Zhengtao Yu, Taisong Jin, Ming Yin
2019 J jnl
Multiview Subspace Clustering via Tensorial t-Product Representation.
IEEE Trans. Neural Networks Learn. Syst.
Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
2019 J jnl
Shared Generative Latent Representation Learning for Multi-view Clustering.
CoRR
Ming Yin, Weitian Huang, Junbin Gao
2018 J jnl
Locally adaptive sparse representation on Riemannian manifolds for robust classification.
Neurocomputing
Ming Yin, Zongze Wu, Daming Shi, Junbin Gao, Shengli Xie
2018 J jnl
Robust Multinomial Logistic Regression Based on RPCA.
IEEE J. Sel. Top. Signal Process.
Ming Yin, Deyu Zeng, Junbin Gao, Zongze Wu, Shengli Xie
2018 — conf
Robust Regression with Nonconvex Schatten p-Norm Minimization.
ICONIP (2)
Deyu Zeng, Ming Yin, Shengli Xie, Zongze Wu
2018 J jnl
Robust Spectral Subspace Clustering Based on Least Square Regression.
Neural Process. Lett.
Zongze Wu, Ming Yin, Yajing Zhou, Xiaozhao Fang, Shengli Xie
2018 J jnl
Sparse subspace clustering with jointly learning representation and affinity matrix.
J. Frankl. Inst.
Ming Yin, Zongze Wu, Deyu Zeng, Panshuo Li, Shengli Xie
2018 J jnl
Subspace Clustering via Learning an Adaptive Low-Rank Graph.
IEEE Trans. Image Process.
Ming Yin, Shengli Xie, Zongze Wu, Yun Zhang, Junbin Gao
2017 B conf
Subspace clustering via independent subspace analysis network.
ICIP
Chunchen Su, Zongze Wu, Ming Yin, Kaixin Li, Weijun Sun
2017 J jnl
Supervised learning of sparse context reconstruction coefficients for data representation and classification.
Neural Comput. Appl.
Xuejie Liu, Jingbin Wang, Ming Yin, Benjamin Edwards, Peijuan Xu
2016 A* conf
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.
CVPR
Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
2016 J jnl
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.
CoRR
Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
2016 J jnl
Laplacian Regularized Low-Rank Representation and Its Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming Yin, Junbin Gao, Zhouchen Lin
2016 J jnl
Low-rank Multi-view Clustering in Third-Order Tensor Space.
CoRR
Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
2016 J jnl
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices.
CoRR
Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang
2016 — conf
Semi-supervised Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.
CCPR (1)
Ming Yin, Xiaozhao Fang, Shengli Xie
2015 J jnl
Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models.
Circuits Syst. Signal Process.
Ming Yin, Junbin Gao, Daming Shi, Shuting Cai
2015 J jnl
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.
IEEE Trans. Image Process.
Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo
2015 J jnl
Image super-resolution via 2D tensor regression learning.
Comput. Vis. Image Underst.
Ming Yin, Junbin Gao, Shuting Cai
2015 B conf
Low rank sequential subspace clustering.
IJCNN
Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin
2015 C conf
Representing Data by Sparse Combination of Contextual Data Points for Classification.
ISNN
Jingyan Wang, Yihua Zhou, Ming Yin, Shaochang Chen, Benjamin Edwards
2015 J jnl
Supervised learning of sparse context reconstruction coefficients for data representation and classification.
CoRR
Xuejie Liu, Jingbin Wang, Ming Yin, Benjamin Edwards, Peijuan Xu
2014 J jnl
Blind image deblurring via coupled sparse representation.
J. Vis. Commun. Image Represent.
Ming Yin, Junbin Gao, David Tien, Shuting Cai
2014 Misc conf
Blocky artifact removal with low-rank matrix recovery.
ICASSP
Ming Yin, Junbin Gao, Yanfeng Sun, Shuting Cai
2014 B conf
Linear Subspace Learning via sparse dimension reduction.
IJCNN
Ming Yin, Yi Guo, Junbin Gao
2013 B conf
Restricted Boltzmann machine approach to couple dictionary training for image super-resolution.
ICIP
Junbin Gao, Yi Guo, Ming Yin
2013 B conf
Robust face recognition via double low-rank matrix recovery for feature extraction.
ICIP
Ming Yin, Shuting Cai, Junbin Gao
2008 — conf
FPGA Implementation of Generalized Fuzzy Operations.
FSKD (3)
Shuting Cai, Xuesong Chen, Qinruo Wang, Ming Yin
2007 — conf
Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation.
SNPD (2)
Ming Yin, Yun Xie, Fen Guo, Shuting Cai
2007 — conf
Research on Adaptive Error Concealment for Video Transmission over packet-lossy channel.
SNPD (2)
Ming Yin, Yun Xie, Fen Guo, Shuting Cai
2006 — conf
A Co-channel Interference Cancellation Algorithm for Fast FHMA System.
ICN/ICONS/MCL
Chuanqing Liu, Xinlin Hu, Yunyu Zhang, Ming Yin