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ORCIDYunhe Zhang 0001
Person information
- affiliation: University of Macau, Faculty of Science and Technology, Taipa, Macau
- affiliation: Fuzhou University, College of Mathematics and Computer Science, Fuzhou, China
Other persons with the same name
- Yunhe Zhang (aka: Yun-he Zhang) — disambiguation page
- Yunhe Zhang 0002 — Huazhong University of Science and Technology, School of Cyber Science and Engineering, Wuhan, China
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2020 – today
- 2025
[j7]Jinbin Yang
, Jinyu Cai, Yunhe Zhang, Sujia Huang, Shiping Wang:
Towards Adaptive Masked Structural Learning for Graph-Level Clustering. IEEE Trans. Netw. Sci. Eng. 12(3): 2021-2032 (2025)- [c8]Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng:
Mixture of Experts as Representation Learner for Deep Multi-View Clustering. AAAI 2025: 22704-22713 - 2024
- [j6]Jinyu Cai, Yunhe Zhang, Shiping Wang, Jicong Fan, Wenzhong Guo:
Wasserstein Embedding Learning for Deep Clustering: A Generative Approach. IEEE Trans. Multim. 26: 7567-7580 (2024) - [c7]Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan:
Deep Orthogonal Hypersphere Compression for Anomaly Detection. ICLR 2024 - [c6]Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng:
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. IJCAI 2024: 3760-3769 - [c5]Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo:
Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. IJCAI 2024: 3770-3779 - [c4]Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng:
Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation. ACM Multimedia 2024: 5537-5546 - [i3]Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng:
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework. CoRR abs/2402.12761 (2024) - 2023
- [j5]Shiping Wang, Yunhe Zhang, Xincan Lin, Lichao Su, Guobao Xiao, William Zhu, Yiqing Shi:
Learning matrix factorization with scalable distance metric and regularizer. Neural Networks 161: 254-266 (2023) - [j4]Zexi Chen, Yunhe Zhang, Sheng Huang, Yanfang Liu, William Zhu, Shiping Wang:
Multiview Deep Matrix Factorization for Shared Compact Representation. IEEE Trans. Comput. Soc. Syst. 10(5): 2739-2751 (2023) - [j3]Sheng Huang, Yunhe Zhang, Lele Fu, Shiping Wang:
Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss. IEEE Trans. Multim. 25: 3259-3272 (2023) - [j2]Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, Shiping Wang:
Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering. IEEE Trans. Multim. 25: 9203-9215 (2023) - [i2]Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan:
Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection. CoRR abs/2302.06430 (2023) - [i1]Jinyu Cai, Yunhe Zhang, Jicong Fan:
Self-Discriminative Modeling for Anomalous Graph Detection. CoRR abs/2310.06261 (2023) - 2022
- [c3]Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang:
Efficient Deep Embedded Subspace Clustering. CVPR 2022: 21-30 - [c2]Sheng Huang, Lele Fu, Yunhe Zhang, Haiping Xu, Shiping Wang:
Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths. ICME 2022: 1-6 - 2021
- [j1]Yunhe Zhang, Zhoumin Lu, Shiping Wang:
Unsupervised feature selection via transformed auto-encoder. Knowl. Based Syst. 215: 106748 (2021) - [c1]Sheng Huang, Yunhe Zhang, Lele Fu, Shiping Wang:
Enhanced Multi-view Matrix Factorization with Shared Representation. PRCV (4) 2021: 276-287
Coauthor Index
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