1. Cai, J., J. Fan, W. Guo, S. Wang, Y. Zhang, and Z. Zhang. 2022. “Efficient Deep Embedded Subspace Clustering.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1–10. https://doi.org/10.1109/cvpr52688.2022.00012.
2. Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering
3. Cai, X., F. Nie, and H. Huang. 2013. “Multi-View K-Means Clustering on Big Data.” Twenty-Third International Joint conference on artificial intelligence. https://dl.acm.org/doi/10.5555/2540128.2540503.
4. Comparison of Approaches for Urban Functional Zones Classification Based on Multi-Source Geospatial Data: A Case Study in Yuzhong District, Chongqing, China
5. Cao, X., C. Zhang, H. Fu, S. Liu, and H. Zhang. 2015. “Diversity-Induced Multi-View Subspace Clustering.” Proceedings of the IEEE conference on computer vision and pattern recognition, 586–594. https://doi.org/10.1109/cvpr.2015.7298657.