Unsupervised feature selection with multi-subspace randomization and collaboration. - Dong Huang 001; Xiaosha Cai; Chang-Dong Wang 001 (Knowl. Based Syst., 2019)

Subspace-Weighted Consensus Clustering for High-Dimensional Data. - Xiaosha Cai; Dong Huang 001 (ADMA, 2020)

Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. - Xiaosha Cai; Dong Huang 001; Chang-Dong Wang 001; Chee-Keong Kwoh 001 (PAKDD (1), 2020)

Link-Based Consensus Clustering with Random Walk Propagation. - Xiaosha Cai; Dong Huang 001 (ICONIP (5), 2021)

Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering. - Xiaosha Cai; Dong Huang 001; Guang-Yu Zhang; Chang-Dong Wang 001 (Inf. Fusion, 2023)

HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering. - Man-Sheng Chen; Xiaosha Cai; Chang-Dong Wang 001; Dong Huang 001; Min Chen 003; Mohsen Guizani (ICDM, 2024)

Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning. - Si-Guo Fang; Dong Huang 001; Xiaosha Cai; Chang-Dong Wang 001; Chaobo He; Yong Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Motif-aware curriculum learning for node classification. - Xiaosha Cai; Man-Sheng Chen; Chang-Dong Wang 001; Haizhang Zhang (Neural Networks, 2025)