Article
1. Qilun Luo, Ming Yang, Wen Li, and Mingqing Xiao. "Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach." Accepted by ACM Transactions on Intelligent Systems and Technology (2023).
2. Tingquan Deng; Ge Yang; Yang Huang; Ming Yang; Hamido Fujita, "Adaptive multi-granularity sparse subspace clustering. " Accepted by Information Sciences (2023).
3. Deyan Xie, Quanxue Gao, and Ming Yang "Enhanced tensor low-rank representation learning for multi-view clustering” Accepted by Neural Networks (Elsevier) (2023).
4. Mei, Shikun, Wenhui Zhao, Quanxue Gao and Ming Yang and Xinbo Gao, Joint Feature Selection and Optimal Bipartite Graph Learning for Subspace Clustering. Accepted by Neural Networks (2023).
5. Yu, Quan, and Ming Yang. "Low Rank Tensor Recovery via Non-Convex Regularization, Structured Factorization and Spatio-Temporal Characteristics." Pattern Recognition (Elsevier) (2023): 109343.
6. Qilun Luo, Ming Yang, Wen Li, and Mingqing Xiao. "Multi-Dimensional Data Processing with Bayesian Inference via Structural Block Decomposition." Accepted by IEEE Transactions on Cybernetics (2023).
7. Xia, Wei, Quanxue Gao, Ming Yang, and Xinbo Gao. "Graph Embedding Contrastive Cross-Modal Clustering." Accepted by IEEE Transactions on Image Processing.
8. Han Lu, Quanxue Gao, Wei Xia and Ming Yang. "Centerless Multiview K-means based on Adjacency Matrix.” Accepted by AAAI 2023.
9. Yang, Ming, Qilun Luo, Wen Li, and Mingqing Xiao. "3D Array Image Data Completion by Tensor Decomposition and Nonconvex Regularization Approach." IEEE Transactions on Signal Processing, vol. 70, pp. 4291-4304, 2022.
10. Yang Ming, Qilun Luo, Wen Li, and Mingqing Xiao. "Nonconvex 3D array image data recovery and pattern recognition under tensor framework." Pattern Recognition (Elsevier) 122 (2022): 108311.
11. Zhou, Qian, Qianqian Wang, Quanxue Gao, Ming Yang* and Xinbo Gao, Sparse Discriminant PCA Based on Contrastive Learning and Class-Specificity Distribution. Accepted by Neural Networks (2023).
12. Guangfei Li, Quanxue Gao and Ming Yang, and Xinbo Gao, Active learning based on similarity level histogram and adaptive-scale sampling for very high-resolution image classification. Accepted by Neural Networks (2023).
13. Wei Xia, Quanxue Gao, Xinbo Gao, Ming Yang. " Self-consistent Contrastive Attributed Graph Clustering with Pseudo-label Prompt” IEEE Transactions on Multimedia (2022).
14. Shu, Xiaochuang, Quanxue Gao, Wei Xia, Ming Yang, and Xinbo Gao. "Self-weighted anchor graph learning for multi-view clustering.” IEEE Transactions on Multimedia (2022).
15. Sun, Xiaoli, Youjuan Wang, Ming Yang, and Xiujun Zhang. "Sliced sparse gradient induced multi-view subspace clustering via tensorial arctangent rank minimization." IEEE Transactions on Knowledge and Data Engineering. 2022 Jun 21.
16. Lv, Ziyu, Quanxue Gao, Xiangdong Zhang, Qin Li, and Ming Yang "View-consistency learning for incomplete multi-view clustering.” IEEE Transactions on Image Processing, vol. 31, pp. 4790-4802, 2022
17. Yang, Haizhou, Quanxue Gao, Wei Xia, Ming Yang, and Xinbo Gao. "Multi-view Spectral Clustering with Bipartite Graph." IEEE Transactions on Image Processing, vol. 31, pp. 3591-3605, 2022
18. Xia, Wei, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, and Xinbo Gao. "Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation." Neural Networks (Elsevier) 145 (2022): 1-9.
19. Yang, Ming, Wen Li, and Mingqing Xiao. "On identifiability of higher order block term tensor decompositions of rank L r⊗ rank-1." Linear and Multilinear Algebra (Taylor & Francis) 68, no. 2 (2020): 223-245.
20. Yang, Ming, Qilun Luo, Wen Li, and Mingqing Xiao. "Multiview clustering of images with tensor rank minimization via nonconvex approach." SIAM Journal on Imaging Sciences 13, no. 4 (2020): 2361-2392.
21. Li, Qin, Mingzhen Hou, Hong Lai, Ming Yang. "Cross-modal Distribution Alignment Embedding Network for Generalized Zero-shot Learning." Neural Networks (Elsevier) 146 (2022)
22. Peng, Chong, Zhao Kang, Ming Yang, and Qiang Cheng. "Feature selection embedded subspace clustering." IEEE Signal Processing Letters 23, no. 7 (2016): 1018-1022.
23. Foias, Ciprian, M. S. Jolly, and Ming Yang. "On single mode forcing of the 2D-NSE." Journal of Dynamics and Differential Equations (Springer) 25, no. 2 (2013): 393-433.
24. Cai, Shuting, Zhao Kang, Ming Yang, Xiaoming Xiong, Chong Peng, and Mingqing Xiao. "Image denoising via improved dictionary learning with global structure and local similarity preservations." Symmetry (MDPI) 10, no. 5 (2018): 167.
25. Cai, Shuting, Qilun Luo, Ming Yang, Wen Li, and Mingqing Xiao. "Tensor robust principal component analysis via non-convex low rank approximation." Applied Sciences (MDPI) 9, no. 7 (2019).
26. Liu, Yanchang, Liqun Shan, Dongbo Yu, Lili Zeng, and Ming Yang. "An echo state network with attention mechanism for production prediction in reservoirs." Journal of Petroleum Science and Engineering (Elsevier) (2021): 109920.
27. Shan, Liqun, Yanchang Liu, Min Tang, Ming Yang, and Xueyuan Bai. "CNN-BiLSTM hybrid neural networks with attention mechanism for well log prediction." Journal of Petroleum Science and Engineering (Elsevier) 205 (2021): 108838.
28. Cai, Shuting, Kun Liu, Ming Yang, Jianliang Tang, Xiaoming Xiong, and Mingqing Xiao. "A new development of non-local image denoising using fixed-point iteration for non-convex ？p sparse optimization." PloS one 13, no. 12 (2018): e0208503.
29. Li, Feng, Wenfeng Chen, Weifeng Xu, Linqing Huang, Dan Li, Shuting Cai, Ming Yang, Xiaoming Xiong, Yuan Liu, and Weijun Li. "A mobile robot visual SLAM system with enhanced semantics segmentation." IEEE Access 8 (2020): 25442-25458.
30. Peng, Chong, Zhao Kang, Ming Yang, and Qiang Cheng. "RAP: Scalable RPCA for low-rank matrix recovery." In Proceedings of the 25th ACM International Conference on Information and Knowledge Management, pp. 2113-2118. 2016.
31. Kang, Zhao, Chong Peng, Ming Yang, and Qiang Cheng. "Top-n recommendation on graphs." In Proceedings of the 25th ACM International Conference on Information and Knowledge Management, pp. 2101-2106. 2016.
32. Kang, Zhao, Chong Peng, Ming Yang, and Qiang Cheng. "Exploiting nonlinear relationships for top-n recommender systems." In 2017 IEEE International Conference on Big Knowledge (ICBK), pp. 49-56. IEEE, 2017.
33. Yang, Ming, Dunren Che, Wen Liu, Zhao Kang, Chong Peng, Mingqing Xiao, and Qiang Cheng. "On identifiability of 3-tensors of multilinear rank (1,Lr,Lr) ." Big Data and Information Analytics (BDIA), American Institute of Mathematical Sciences, Vol. 1, no. 4, October 2016.
34. Sun, Xiaoli, Youjuan Wang, Ming Yang, and Xiujun Zhang. "Robust multiview subspace clustering of images via tighter rank approximation." IEEE Access (2021).
35. Yang, Ming. "On partial and generic uniqueness of block term tensor decompositions." Annali dell' Università di Ferrara (Springer) 60, no. 2 (2014): 465-493.
