|
- D. Li, Z. Yang*, and S. Xie,FedMSGL: A Self-expressive Graph Based Federated Multi-view Learning.Association for the Advancement of Artificial Intelligence (AAAI), 2025,
- N. Liang, Z. Yang*, et al,Multi-view Clustering with Consistent Local Structure-guided Graph Fusion.IEEE Transactions on Emerging Topics in Computational Intelligence, 2025,
- N. Liang, Z. Yang*, J. Chen, Z. Li, and S. Xie,Label-weighted graph-based learning for semi-supervised classification under label noise.IEEE Trans. Big Data,2024,
- N. Liang, Z. Yang, S. Xie,Incomplete multi-view clustering with sample-level auto-weighted graph fusion.IEEE Trans. Knowledge and Data Engineering,2023,
- Z. Yang, N. Liang, Z. Li and S. Xie,A convergence algorithm for graph co-regularized transfer learning.Science China Information Sciences,2023,66(3):
- Z. Li, Z. Yang, H. Zhao, S. Xie,Direct-optimization-based DC Dictionary learning with the MCP Regularizer.IEEE Transactions on Neural Networks and Learning Systems,
- Z. Li, H. Zhao, Y. Guo, Z. Yang, and S. Xie,Accelerated log-regularized convolutional transform learning and its convergence guarantee.IEEE Transactions on Cybernetics,2021,
- Z. Yang, N. Liang, W. Yan, Z. Li, and S. Xie,Uniform distribution non-negative matrix factorization for multiview clustering.IEEE Transactions on Cybernetics,2021,51(6):3249-3262.
- Z. Yang, Y. Zhang, Y. Xiang, W. Yan, and S. Xie,Non-negative matrix factorization with dual constraints for image clustering.IEEE Transactions on Systems, Man, and Cybernetics: Systems,2020,50(7):2524-2533.
- N. Liang, Z. Yang, Z. Li, W. Sun, and S. Xie,Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints.Knowledge-Based Systems,2020,194105582.

