| Learnable multi-view matrix factorization with graph embedding and flexible loss S Huang, Y Zhang, L Fu, S Wang IEEE Transactions on Multimedia 25, 3259-3272, 2022 | 21 | 2022 |
| Multi-view learning via low-rank tensor optimization L Fu, Z Chen, S Huang, S Huang, S Wang 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 12 | 2021 |
| Subspace-contrastive multi-view clustering L Fu, S Huang, L Zhang, J Yang, Z Zheng, C Zhang, C Chen ACM Transactions on Knowledge Discovery from Data 18 (9), 1-35, 2024 | 7 | 2024 |
| Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations C Chen, T Liao, X Deng, Z Wu, S Huang, Z Zheng IEEE Transactions on Big Data, 2025 | 5* | 2025 |
| Multi-view deep matrix factorization with consensual solution from multiple paths S Huang, L Fu, Y Zhang, H Xu, S Wang 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 3 | 2022 |
| A cross-client coordinator in federated learning framework for conquering heterogeneity S Huang, L Fu, Y Li, C Chen, Z Zheng, HN Dai IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
| Multiview deep matrix factorization for shared compact representation Z Chen, Y Zhang, S Huang, Y Liu, W Zhu, S Wang IEEE Transactions on Computational Social Systems 10 (5), 2739-2751, 2022 | 1 | 2022 |
| Enhanced multi-view matrix factorization with shared representation S Huang, Y Zhang, L Fu, S Wang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 276-287, 2021 | 1 | 2021 |
| Local Geometrical Deep Matrix Factorization for Multi-View Clustering P Lin, S Huang, S Wang 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | | 2022 |
| Parameter-Oriented Contrastive Schema and Multi-Level Knowledge Distillation for Heterogeneous Federated Learning L Fu, Y Li, S Huang, C Chen, C Zhang, Z Zheng Available at SSRN 4701027, 0 | | |
Lele FuSun Yat-sen Universitymail2.sysu.edu.cn의 이메일 확인됨