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Ming Yin 0002
Person information
- affiliation: Guangdong University of Technology, School of Automation, Guangzhou, China
- affiliation: South China Normal University, School of Semiconductor Science and Technology, Foshan, China
Other persons with the same name
- Ming Yin — disambiguation page
- Ming Yin 0001 — Purdue University, West Lafayette, IN, USA
- Ming Yin 0003 — University of California, Santa Barbara, CA, USA
- Ming Yin 0004 — Sichuan University, Chengdu, China
- Ming Yin 0005 — Northweastern Polytechnology University, Xi'an, China
- Ming Yin 0006 — University of Science and Technology of China, Hefei, China
- Ming Yin 0007 — Chengdu University of Technology, Chengdu, China
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2020 – today
- 2024
- [j31]Yicheng He, Zixi Liang, Shaocong He, Yonghua Wang, Ming Yin:
Viewpoint guided multi-stream neural network for skeleton action recognition. Multim. Tools Appl. 83(3): 6783-6802 (2024) - [j30]Yonghua Wang, Shuwan Ma, Ningkang Liao, Yongwei Zhang, Ming Yin:
A symmetric low-rank subspace clustering method for cooperative spectrum sensing in complex environments. Phys. Commun. 63: 102313 (2024) - [j29]Lijuan Wang, Shaomin Chen, Ming Yin, Zhifeng Hao, Ruichu Cai:
Block diagonal representation learning with local invariance for face clustering. Soft Comput. 28(13-14): 8133-8149 (2024) - [j28]Ming Yin, Xin Liu, Junli Gao, Haoliang Yuan, Taisong Jin, Shengwei Zhang, Lingling Li:
MVAIBNet: Multiview Disentangled Representation Learning With Information Bottleneck. IEEE Trans. Ind. Informatics 20(10): 11511-11520 (2024) - [j27]Ming Yin, Rui Chen, Renjun Lin, Yonghua Wang:
Multi-SSALvcAE: Self-Supervised Adversarial Learning-Based View-Common Latent AutoEncoders for Multiview Clustering. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5456-5467 (2024) - 2023
- [j26]Ming Yin, Toufique Ahmed Soomro, Fayyaz Ali Jandan, Ayoub Fatihi, Faisal Bin Ubaid, Muhammad Irfan, Ahmed J. Afifi, Saifur Rahman, Sergii Telenyk, Grzegorz Nowakowski:
Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image. IEEE Access 11: 130451-130465 (2023) - [j25]Ming Yin, Xiaohua Liu, Liuyang Wang, Guoliang He:
Learning latent embedding via weighted projection matrix alignment for incomplete multi-view clustering. Inf. Sci. 634: 244-258 (2023) - [j24]Guoliang He, Wenjun Jiang, Rong Peng, Ming Yin, Min Han:
Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7761-7774 (2023) - 2022
- [j23]Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Junbin Gao:
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. Artif. Intell. Rev. 55(2): 1409-1439 (2022) - [j22]Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen:
Double embedding-transfer-based multi-view spectral clustering. Expert Syst. Appl. 210: 118374 (2022) - [j21]Zixi Liang, Ming Yin, Junli Gao, Yicheng He, Weitian Huang:
View knowledge transfer network for multi-view action recognition. Image Vis. Comput. 118: 104357 (2022) - [j20]Shuwan Ma, Yonghua Wang, Jinxuan Ren, Ming Yin:
A Cooperative Spectrum Sensing Method Based on Soft Low-Rank Subspace Clustering. IEEE Trans. Circuits Syst. II Express Briefs 69(9): 3954-3958 (2022) - 2021
- [j19]Ming Yin, Wei Liu, Mingsuo Li, Taisong Jin, Rongrong Ji:
Cauchy loss induced block diagonal representation for robust multi-view subspace clustering. Neurocomputing 427: 84-95 (2021) - [j18]Feiran Jie, Qingfeng Nie, Mingsuo Li, Ming Yin, Taisong Jin:
Atrous spatial pyramid convolution for object detection with encoder-decoder. Neurocomputing 464: 107-118 (2021) - [j17]Zongze Wu, Chunchen Su, Ming Yin, Zhigang Ren, Shengli Xie:
Subspace clustering via stacked independent subspace analysis networks with sparse prior information. Pattern Recognit. Lett. 146: 165-171 (2021) - [c17]Lijuan Wang, Jinping Xing, Ming Yin, Xinxuan Huang:
Multi-view Spectral Clustering With Adaptive Local Neighbors. PAAP 2021: 157-161 - 2020
- [j16]Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao:
Block diagonal representation learning for robust subspace clustering. Inf. Sci. 526: 54-67 (2020) - [c16]Ming Yin, Weitian Huang, Junbin Gao:
Shared Generative Latent Representation Learning for Multi-View Clustering. AAAI 2020: 6688-6695
2010 – 2019
- 2019
- [j15]Toufique Ahmed Soomro, Ahmed J. Afifi, Ahmed Ali, Shafiullah Soomro, Gulsher Baloch, Lihong Zheng, Ming Yin, Junbin Gao:
Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation. IEEE Access 7: 158183-158197 (2019) - [j14]Shengxiang Gao, Zhengtao Yu, Taisong Jin, Ming Yin:
Multi-view low-rank matrix factorization using multiple manifold regularization. Neurocomputing 335: 143-152 (2019) - [j13]Weitian Huang, Ming Yin, Jianzhong Li, Shengli Xie:
Deep Clustering via Weighted k-Subspace Network. IEEE Signal Process. Lett. 26(11): 1628-1632 (2019) - [j12]Ming Yin, Junbin Gao, Shengli Xie, Yi Guo:
Multiview Subspace Clustering via Tensorial t-Product Representation. IEEE Trans. Neural Networks Learn. Syst. 30(3): 851-864 (2019) - [c15]Kai Zou, Ming Yin, Weitian Huang, Yiqiu Zeng:
Deep Stacked Bidirectional LSTM Neural Network for Skeleton-Based Action Recognition. ICIG (1) 2019: 676-688 - [i5]Ming Yin, Weitian Huang, Junbin Gao:
Shared Generative Latent Representation Learning for Multi-view Clustering. CoRR abs/1907.09747 (2019) - 2018
- [j11]Ming Yin, Zongze Wu, Daming Shi, Junbin Gao, Shengli Xie:
Locally adaptive sparse representation on Riemannian manifolds for robust classification. Neurocomputing 310: 69-76 (2018) - [j10]Ming Yin, Zongze Wu, Deyu Zeng, Panshuo Li, Shengli Xie:
Sparse subspace clustering with jointly learning representation and affinity matrix. J. Frankl. Inst. 355(8): 3795-3811 (2018) - [j9]Ming Yin, Deyu Zeng, Junbin Gao, Zongze Wu, Shengli Xie:
Robust Multinomial Logistic Regression Based on RPCA. IEEE J. Sel. Top. Signal Process. 12(6): 1144-1154 (2018) - [j8]Zongze Wu, Ming Yin, Yajing Zhou, Xiaozhao Fang, Shengli Xie:
Robust Spectral Subspace Clustering Based on Least Square Regression. Neural Process. Lett. 48(3): 1359-1372 (2018) - [j7]Ming Yin, Shengli Xie, Zongze Wu, Yun Zhang, Junbin Gao:
Subspace Clustering via Learning an Adaptive Low-Rank Graph. IEEE Trans. Image Process. 27(8): 3716-3728 (2018) - [c14]Deyu Zeng, Ming Yin, Shengli Xie, Zongze Wu:
Robust Regression with Nonconvex Schatten p-Norm Minimization. ICONIP (2) 2018: 498-508 - 2017
- [j6]Xuejie Liu, Jingbin Wang, Ming Yin, Benjamin Edwards, Peijuan Xu:
Supervised learning of sparse context reconstruction coefficients for data representation and classification. Neural Comput. Appl. 28(1): 135-143 (2017) - [c13]Chunchen Su, Zongze Wu, Ming Yin, Kaixin Li, Weijun Sun:
Subspace clustering via independent subspace analysis network. ICIP 2017: 4217-4221 - 2016
- [j5]Ming Yin, Junbin Gao, Zhouchen Lin:
Laplacian Regularized Low-Rank Representation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 504-517 (2016) - [c12]Ming Yin, Xiaozhao Fang, Shengli Xie:
Semi-supervised Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CCPR (1) 2016: 601-611 - [c11]Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie:
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CVPR 2016: 5157-5164 - [i4]Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie:
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CoRR abs/1601.00414 (2016) - [i3]Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang:
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices. CoRR abs/1601.07336 (2016) - [i2]Ming Yin, Junbin Gao, Shengli Xie, Yi Guo:
Low-rank Multi-view Clustering in Third-Order Tensor Space. CoRR abs/1608.08336 (2016) - 2015
- [j4]Ming Yin, Junbin Gao, Daming Shi, Shuting Cai:
Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models. Circuits Syst. Signal Process. 34(7): 2237-2254 (2015) - [j3]Ming Yin, Junbin Gao, Shuting Cai:
Image super-resolution via 2D tensor regression learning. Comput. Vis. Image Underst. 132: 12-23 (2015) - [j2]Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo:
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. IEEE Trans. Image Process. 24(12): 4918-4933 (2015) - [c10]Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin:
Low rank sequential subspace clustering. IJCNN 2015: 1-8 - [c9]Jingyan Wang, Yihua Zhou, Ming Yin, Shaochang Chen, Benjamin Edwards:
Representing Data by Sparse Combination of Contextual Data Points for Classification. ISNN 2015: 373-381 - [i1]Xuejie Liu, Jingbin Wang, Ming Yin, Benjamin Edwards, Peijuan Xu:
Supervised learning of sparse context reconstruction coefficients for data representation and classification. CoRR abs/1508.04221 (2015) - 2014
- [j1]Ming Yin, Junbin Gao, David Tien, Shuting Cai:
Blind image deblurring via coupled sparse representation. J. Vis. Commun. Image Represent. 25(5): 814-821 (2014) - [c8]Ming Yin, Junbin Gao, Yanfeng Sun, Shuting Cai:
Blocky artifact removal with low-rank matrix recovery. ICASSP 2014: 1996-2000 - [c7]Ming Yin, Yi Guo, Junbin Gao:
Linear Subspace Learning via sparse dimension reduction. IJCNN 2014: 3540-3547 - 2013
- [c6]Junbin Gao, Yi Guo, Ming Yin:
Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. ICIP 2013: 499-503 - [c5]Ming Yin, Shuting Cai, Junbin Gao:
Robust face recognition via double low-rank matrix recovery for feature extraction. ICIP 2013: 3770-3774
2000 – 2009
- 2008
- [c4]Shuting Cai, Xuesong Chen, Qinruo Wang, Ming Yin:
FPGA Implementation of Generalized Fuzzy Operations. FSKD (3) 2008: 560-564 - 2007
- [c3]Ming Yin, Yun Xie, Fen Guo, Shuting Cai:
Research on Adaptive Error Concealment for Video Transmission over packet-lossy channel. SNPD (2) 2007: 81-85 - [c2]Ming Yin, Yun Xie, Fen Guo, Shuting Cai:
Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation. SNPD (2) 2007: 280-284 - 2006
- [c1]Chuanqing Liu, Xinlin Hu, Yunyu Zhang, Ming Yin:
A Co-channel Interference Cancellation Algorithm for Fast FHMA System. ICN/ICONS/MCL 2006: 158
Coauthor Index
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