Enhanced Multi-view Matrix Factorization with Shared Representation. - Sheng Huang; Yunhe Zhang 001; Lele Fu; Shiping Wang (PRCV (4), 2021)

Unsupervised feature selection via transformed auto-encoder. - Yunhe Zhang 001; Zhoumin Lu; Shiping Wang (Knowl. Based Syst., 2021)

Efficient Deep Embedded Subspace Clustering. - Jinyu Cai; Jicong Fan 001; Wenzhong Guo; Shiping Wang; Yunhe Zhang 001; Zhao Zhang 001 (CVPR, 2022)

Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths. - Sheng Huang; Lele Fu; Yunhe Zhang 001; Haiping Xu; Shiping Wang (ICME, 2022)

Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection. - Yunhe Zhang 001; Yan Sun; Jinyu Cai; Jicong Fan 001 (CoRR, 2023)

Self-Discriminative Modeling for Anomalous Graph Detection. - Jinyu Cai; Yunhe Zhang 001; Jicong Fan 001 (CoRR, 2023)

Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss. - Sheng Huang; Yunhe Zhang 001; Lele Fu; Shiping Wang (IEEE Trans. Multim., 2023)

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering. - Shunxin Xiao; Shide Du; Zhaoliang Chen; Yunhe Zhang 001; Shiping Wang (IEEE Trans. Multim., 2023)

Learning matrix factorization with scalable distance metric and regularizer. - Shiping Wang; Yunhe Zhang 001; Xincan Lin; Lichao Su; Guobao Xiao; William Zhu 001; Yiqing Shi (Neural Networks, 2023)

Multiview Deep Matrix Factorization for Shared Compact Representation. - Zexi Chen; Yunhe Zhang 001; Sheng Huang; Yanfang Liu; William Zhu 001; Shiping Wang (IEEE Trans. Comput. Soc. Syst., 2023)

Deep Orthogonal Hypersphere Compression for Anomaly Detection. - Yunhe Zhang 001; Yan Sun; Jinyu Cai; Jicong Fan 001 (ICLR, 2024)

Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. - Jinyu Cai; Yunhe Zhang 001; Jicong Fan 001; Yali Du 001; Wenzhong Guo (IJCAI, 2024)

LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. - Jinyu Cai; Yunhe Zhang 001; Jicong Fan 001; See-Kiong Ng (IJCAI, 2024)

Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation. - Jinyu Cai; Yunhe Zhang 001; Zhoumin Lu; Wenzhong Guo; See-Kiong Ng (ACM Multimedia, 2024)

FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework. - Jinyu Cai; Yunhe Zhang 001; Zhoumin Lu; Wenzhong Guo; See-Kiong Ng (CoRR, 2024)

Wasserstein Embedding Learning for Deep Clustering: A Generative Approach. - Jinyu Cai; Yunhe Zhang 001; Shiping Wang; Jicong Fan 001; Wenzhong Guo (IEEE Trans. Multim., 2024)

Mixture of Experts as Representation Learner for Deep Multi-View Clustering. - Yunhe Zhang 001; Jinyu Cai; Zhihao Wu 002; Pengyang Wang; See-Kiong Ng (AAAI, 2025)

Towards Adaptive Masked Structural Learning for Graph-Level Clustering. - Jinbin Yang; Jinyu Cai; Yunhe Zhang 001; Sujia Huang; Shiping Wang (IEEE Trans. Netw. Sci. Eng., 2025)