1. Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification;nie;Proceedings of the 25th International Joint Conference on Artificial Intelligence,0
2. Self-weighted multiview clustering with mul-tiple graphs;nie;Proceedings of the 26th International Joint Conference on Artificial Intelligence,0
3. Quantifying and Detecting Collective Motion by Manifold Learning
4. Low-Rank Graph Completion-Based Incomplete Multiview Clustering
5. Multiple kernel k-means with incomplete ker-nels;liu;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020