Ming Yin

According to our database, Ming Yin authored at least 46 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Viewpoint guided multi-stream neural network for skeleton action recognition.

Yicheng He, Zixi Liang, Shaocong He, Yonghua Wang, Ming Yin

Multim. Tools Appl., January, 2024

2023

Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data.

Guoliang He, Wenjun Jiang, Rong Peng, Ming Yin, Min Han

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Learning latent embedding via weighted projection matrix alignment for incomplete multi-view clustering.

Ming Yin, Xiaohua Liu, Liuyang Wang, Guoliang He

Inf. Sci., July, 2023

Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image.

Ming Yin, Toufique Ahmed Soomro, Fayyaz Ali Jandan, Ayoub Fatihi, Faisal Bin Ubaid, Muhammad Irfan, Ahmed J. Afifi, Saifur Rahman, Sergii Telenyk, Grzegorz Nowakowski

IEEE Access, 2023

2022

A Cooperative Spectrum Sensing Method Based on Soft Low-Rank Subspace Clustering.

Shuwan Ma, Yonghua Wang, Jinxuan Ren, Ming Yin

IEEE Trans. Circuits Syst. II Express Briefs, 2022

View knowledge transfer network for multi-view action recognition.

Zixi Liang, Ming Yin, Junli Gao, Yicheng He, Weitian Huang

Image Vis. Comput., 2022

Double embedding-transfer-based multi-view spectral clustering.

Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen

Expert Syst. Appl., 2022

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, Junbin Gao

Artif. Intell. Rev., 2022

2021

Subspace clustering via stacked independent subspace analysis networks with sparse prior information.

Zongze Wu, Chunchen Su, Ming Yin, Zhigang Ren, Shengli Xie

Pattern Recognit. Lett., 2021

Cauchy loss induced block diagonal representation for robust multi-view subspace clustering.

Ming Yin, Wei Liu, Mingsuo Li, Taisong Jin, Rongrong Ji

Neurocomputing, 2021

Atrous spatial pyramid convolution for object detection with encoder-decoder.

Feiran Jie, Qingfeng Nie, Mingsuo Li, Ming Yin, Taisong Jin

Neurocomputing, 2021

Multi-view Spectral Clustering With Adaptive Local Neighbors.

Lijuan Wang, Jinping Xing, Ming Yin, Xinxuan Huang

Proceedings of the 12th International Symposium on Parallel Architectures, 2021

2020

Block diagonal representation learning for robust subspace clustering.

Lijuan Wang, Jiawen Huang, Ming Yin, Ruichu Cai, Zhifeng Hao

Inf. Sci., 2020

Shared Generative Latent Representation Learning for Multi-View Clustering.

Ming Yin, Weitian Huang, Junbin Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multiview Subspace Clustering via Tensorial t-Product Representation.

Ming Yin, Junbin Gao, Shengli Xie, Yi Guo

IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Clustering via Weighted k-Subspace Network.

Weitian Huang, Ming Yin, Jianzhong Li, Shengli Xie

IEEE Signal Process. Lett., 2019

Multi-view low-rank matrix factorization using multiple manifold regularization.

Shengxiang Gao, Zhengtao Yu, Taisong Jin, Ming Yin

Neurocomputing, 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, Junbin Gao

IEEE Access, 2019

Deep Stacked Bidirectional LSTM Neural Network for Skeleton-Based Action Recognition.

Kai Zou, Ming Yin, Weitian Huang, Yiqiu Zeng

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Subspace Clustering via Learning an Adaptive Low-Rank Graph.

Ming Yin, Shengli Xie, Zongze Wu, Yun Zhang, Junbin Gao

IEEE Trans. Image Process., 2018

Robust Spectral Subspace Clustering Based on Least Square Regression.

Zongze Wu, Ming Yin, Yajing Zhou, Xiaozhao Fang, Shengli Xie

Neural Process. Lett., 2018

Robust Multinomial Logistic Regression Based on RPCA.

Ming Yin, Deyu Zeng, Junbin Gao, Zongze Wu, Shengli Xie

IEEE J. Sel. Top. Signal Process., 2018

Sparse subspace clustering with jointly learning representation and affinity matrix.

Ming Yin, Zongze Wu, Deyu Zeng, Panshuo Li, Shengli Xie

J. Frankl. Inst., 2018

Locally adaptive sparse representation on Riemannian manifolds for robust classification.

Ming Yin, Zongze Wu, Daming Shi, Junbin Gao, Shengli Xie

Neurocomputing, 2018

Robust Regression with Nonconvex Schatten p-Norm Minimization.

Deyu Zeng, Ming Yin, Shengli Xie, Zongze Wu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Supervised learning of sparse context reconstruction coefficients for data representation and classification.

Xuejie Liu, Jingbin Wang, Ming Yin, Benjamin Edwards, Peijuan Xu

Neural Comput. Appl., 2017

Subspace clustering via independent subspace analysis network.

Chunchen Su, Zongze Wu, Ming Yin, Kaixin Li, Weijun Sun

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Laplacian Regularized Low-Rank Representation and Its Applications.

Ming Yin, Junbin Gao, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices.

Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang

CoRR, 2016

Low-rank Multi-view Clustering in Third-Order Tensor Space.

Ming Yin, Junbin Gao, Shengli Xie, Yi Guo

CoRR, 2016

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.

Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Semi-supervised Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.

Ming Yin, Xiaozhao Fang, Shengli Xie

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.

Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo

IEEE Trans. Image Process., 2015

Image super-resolution via 2D tensor regression learning.

Ming Yin, Junbin Gao, Shuting Cai

Comput. Vis. Image Underst., 2015

Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models.

Ming Yin, Junbin Gao, Daming Shi, Shuting Cai

Circuits Syst. Signal Process., 2015

Representing Data by Sparse Combination of Contextual Data Points for Classification.

Jingyan Wang, Yihua Zhou, Ming Yin, Shaochang Chen, Benjamin Edwards

Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Low rank sequential subspace clustering.

Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Blind image deblurring via coupled sparse representation.

Ming Yin, Junbin Gao, David Tien, Shuting Cai

J. Vis. Commun. Image Represent., 2014

Linear Subspace Learning via sparse dimension reduction.

Ming Yin, Yi Guo, Junbin Gao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Blocky artifact removal with low-rank matrix recovery.

Ming Yin, Junbin Gao, Yanfeng Sun, Shuting Cai

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Robust face recognition via double low-rank matrix recovery for feature extraction.

Ming Yin, Shuting Cai, Junbin Gao

Proceedings of the IEEE International Conference on Image Processing, 2013

Restricted Boltzmann machine approach to couple dictionary training for image super-resolution.

Junbin Gao, Yi Guo, Ming Yin

Proceedings of the IEEE International Conference on Image Processing, 2013

2008

FPGA Implementation of Generalized Fuzzy Operations.

Shuting Cai, Xuesong Chen, Qinruo Wang, Ming Yin

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007

Improvements on MB-layer Rate Control Scheme for H.264 video Using complexity estimation.

Ming Yin, Yun Xie, Fen Guo, Shuting Cai

Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Research on Adaptive Error Concealment for Video Transmission over packet-lossy channel.

Ming Yin, Yun Xie, Fen Guo, Shuting Cai

Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

2006

A Co-channel Interference Cancellation Algorithm for Fast FHMA System.

Chuanqing Liu, Xinlin Hu, Yunyu Zhang, Ming Yin

Proceedings of the Fifth International Conference on Networking and the International Conference on Systems (ICN / ICONS / MCL 2006), 2006