An overview of recent multi-view clustering. - Lele Fu; Pengfei Lin; Athanasios V. Vasilakos; Shiping Wang (Neurocomputing, 2020)

Multi-View Learning Via Low-Rank Tensor Optimization. - Lele Fu; Zhaoliang Chen; Sujia Huang; Sheng Huang; Shiping Wang (ICME, 2021)

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

Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. - Jinghua Yang; Chuan Chen 001; Hong-Ning Dai; Meng Ding 002; Lele Fu; Zibin Zheng (CIKM, 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)

Subspace-Contrastive Multi-View Clustering. - Lele Fu; Lei Zhang 183; Jinghua Yang; Chuan Chen 001; Chuanfu Zhang; Zibin Zheng (CoRR, 2022)

Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering. - Lele Fu; Jieling Li; Chuan Chen 001 (Neurocomputing, 2022)

Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering. - Lele Fu; Jinghua Yang; Chuan Chen 001; Chuanfu Zhang (Inf. Sci., 2022)

A structure noise-aware tensor dictionary learning method for high-dimensional data clustering. - Jinghua Yang; Chuan Chen 001; Hong-Ning Dai; Lele Fu; Zibin Zheng (Inf. Sci., 2022)

Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification. - Shiping Wang; Lele Fu; Zhewen Wang; Haiping Xu; William Zhu 001 (IEEE Trans. Comput. Soc. Syst., 2022)

Mutual Information-Driven Multi-View Clustering. - Lei Zhang 183; Lele Fu; Tong Wang; Chuan Chen 001; Chuanfu Zhang (CIKM, 2023)

Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training. - Yuecheng Li; Yanming Hu; Lele Fu; Chuan Chen 001; Lei Yang 030; Zibin Zheng (CoRR, 2023)

Cross-view graph matching for incomplete multi-view clustering. - Jinghua Yang; Lele Fu; Chuan Chen 001; Hong-Ning Dai; Zibin Zheng (Neurocomputing, 2023)

Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering. - Lele Fu; Zhaoliang Chen; Yongyong Chen; Shiping Wang (IEEE Trans. Multim., 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)

A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection. - Yu Wang 280; Chuan Chen 001; Jinrong Lai; Lele Fu; Yuren Zhou; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2023)

Learnable graph convolutional network and feature fusion for multi-view learning. - Zhaoliang Chen; Lele Fu; Jie Yao; Wenzhong Guo; Claudia Plant; Shiping Wang (Inf. Fusion, 2023)

FedSeProto: Learning Semantic Prototype in Federated Learning. - Yanyi Lai; Lele Fu; Tianchi Liao; Chuan Chen 001; Zibin Zheng (ECAI, 2024)

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. - Tianchi Liao; Lele Fu; Jialong Chen; Zhen Wang 036; Zibin Zheng; Chuan Chen 001 (NeurIPS, 2024)

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. - Siran Zhao; Tianchi Liao; Lele Fu; Chuan Chen 001; Jing Bian; Zibin Zheng (Neural Networks, 2024)

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics. - Sujia Huang; Shide Du; Lele Fu; Zhihao Wu 003; Shiping Wang (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Multi-View Graph Convolutional Networks with Differentiable Node Selection. - Zhaoliang Chen; Lele Fu; Shunxin Xiao; Shiping Wang; Claudia Plant; Wenzhong Guo (ACM Trans. Knowl. Discov. Data, 2024)

Toward Few-Label Vertical Federated Learning. - Lei Zhang 183; Lele Fu; Chen Liu; Zhao Yang; Jinghua Yang; Zibin Zheng; Chuan Chen 001 (ACM Trans. Knowl. Discov. Data, 2024)

Subspace-Contrastive Multi-View Clustering. - Lele Fu; Sheng Huang; Lei Zhang 183; Jinghua Yang; Zibin Zheng; Chuanfu Zhang; Chuan Chen 001 (ACM Trans. Knowl. Discov. Data, 2024)

THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings. - Bowen Deng; Tong Wang; Lele Fu; Sheng Huang; Chuan Chen 001; Tao Zhang 096 (AAAI, 2025)

Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data. - Lele Fu; Sheng Huang; Yanyi Lai; Tianchi Liao; Chuanfu Zhang; Chuan Chen 001 (AAAI, 2025)

Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning. - Lele Fu; Yuecheng Li; Sheng Huang; Chuan Chen 001; Chuanfu Zhang; Zibin Zheng (Inf. Fusion, 2025)

Learn the global prompt in the low-rank tensor space for heterogeneous federated learning. - Lele Fu; Sheng Huang; Yuecheng Li; Chuan Chen 001; Chuanfu Zhang; Zibin Zheng (Neural Networks, 2025)

Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features. - Tianchi Liao; Lele Fu; Lei Zhang 183; Lei Yang 030; Chuan Chen 001; Michael Kwok-Po Ng; Huawei Huang; Zibin Zheng (IEEE Trans. Inf. Forensics Secur., 2025)

Low-rank tensor learning with projection distance metric for multi-view clustering. - Sujia Huang; Lele Fu; Shide Du; Zhihao Wu 003; Athanasios V. Vasilakos; Shiping Wang (Int. J. Mach. Learn. Cybern., 2025)

Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering. - Zixiao Yu; Lele Fu; Yongyong Chen; Zhiling Cai; Guoqing Chao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity. - Sheng Huang; Lele Fu; Yuecheng Li; Chuan Chen 001; Zibin Zheng; Hong-Ning Dai (IEEE Trans. Neural Networks Learn. Syst., 2025)

Torque-based Graph Surgery:Enhancing Graph Neural Networks with Hierarchical Rewiring. - Sujia Huang; Lele Fu; Zhen Cui 001; Tong Zhang 021; Na Song; Bo Huang (CoRR, 2025)

Federated Domain-Independent Prototype Learning With Alignments of Representation and Parameter Spaces for Feature Shift. - Lele Fu; Sheng Huang; Yanyi Lai; Chuanfu Zhang; Hong-Ning Dai; Zibin Zheng; Chuan Chen 001 (IEEE Trans. Mob. Comput., 2025)