Lele Fu

According to our database, Lele Fu authored at least 34 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

IEEE Trans. Mob. Comput., September, 2025

Torque-based Graph Surgery:Enhancing Graph Neural Networks with Hierarchical Rewiring.

Sujia Huang, Lele Fu, Zhen Cui, Tong Zhang, Na Song, Bo Huang

CoRR, July, 2025

A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity.

Sheng Huang, Lele Fu, Yuecheng Li, Chuan Chen, Zibin Zheng, Hong-Ning Dai

IEEE Trans. Neural Networks Learn. Syst., May, 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., April, 2025

Low-rank tensor learning with projection distance metric for multi-view clustering.

Sujia Huang, Lele Fu, Shide Du, Zhihao Wu, Athanasios V. Vasilakos, Shiping Wang

Int. J. Mach. Learn. Cybern., January, 2025

Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features.

Tianchi Liao, Lele Fu, Lei Zhang, Lei Yang, Chuan Chen, Michael Kwok-Po Ng, Huawei Huang, Zibin Zheng

IEEE Trans. Inf. Forensics Secur., 2025

Learn the global prompt in the low-rank tensor space for heterogeneous federated learning.

Lele Fu, Sheng Huang, Yuecheng Li, Chuan Chen, Chuanfu Zhang, Zibin Zheng

Neural Networks, 2025

Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning.

Lele Fu, Yuecheng Li, Sheng Huang, Chuan Chen, Chuanfu Zhang, Zibin Zheng

Inf. Fusion, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings.

Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Subspace-Contrastive Multi-View Clustering.

Lele Fu, Sheng Huang, Lei Zhang, Jinghua Yang, Zibin Zheng, Chuanfu Zhang, Chuan Chen

ACM Trans. Knowl. Discov. Data, November, 2024

Toward Few-Label Vertical Federated Learning.

Lei Zhang, Lele Fu, Chen Liu, Zhao Yang, Jinghua Yang, Zibin Zheng, Chuan Chen

ACM Trans. Knowl. Discov. Data, August, 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, January, 2024

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics.

Sujia Huang, Shide Du, Lele Fu, Zhihao Wu, Shiping Wang

IEEE Trans. Signal Inf. Process. over Networks, 2024

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning.

Siran Zhao, Tianchi Liao, Lele Fu, Chuan Chen, Jing Bian, Zibin Zheng

Neural Networks, 2024

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm.

Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FedSeProto: Learning Semantic Prototype in Federated Learning.

Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

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, July, 2023

A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection.

Yu Wang, Chuan Chen, Jinrong Lai, Lele Fu, Yuren Zhou, Zibin Zheng

ACM Trans. Knowl. Discov. Data, January, 2023

Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss.

Sheng Huang, Yunhe Zhang, Lele Fu, Shiping Wang

IEEE Trans. Multim., 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

Cross-view graph matching for incomplete multi-view clustering.

Jinghua Yang, Lele Fu, Chuan Chen, Hong-Ning Dai, Zibin Zheng

Neurocomputing, 2023

Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training.

Yuecheng Li, Yanming Hu, Lele Fu, Chuan Chen, Lei Yang, Zibin Zheng

CoRR, 2023

Mutual Information-Driven Multi-View Clustering.

Lei Zhang, Lele Fu, Tong Wang, Chuan Chen, Chuanfu Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification.

Shiping Wang, Lele Fu, Zhewen Wang, Haiping Xu, William Zhu

IEEE Trans. Comput. Soc. Syst., 2022

A structure noise-aware tensor dictionary learning method for high-dimensional data clustering.

Jinghua Yang, Chuan Chen, Hong-Ning Dai, Lele Fu, Zibin Zheng

Inf. Sci., 2022

Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering.

Lele Fu, Jinghua Yang, Chuan Chen, Chuanfu Zhang

Inf. Sci., 2022

Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering.

Lele Fu, Jieling Li, Chuan Chen

Neurocomputing, 2022

Subspace-Contrastive Multi-View Clustering.

Lele Fu, Lei Zhang, Jinghua Yang, Chuan Chen, Chuanfu Zhang, Zibin Zheng

CoRR, 2022

Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths.

Sheng Huang, Lele Fu, Yunhe Zhang, Haiping Xu, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view.

Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Enhanced Multi-view Matrix Factorization with Shared Representation.

Sheng Huang, Yunhe Zhang, Lele Fu, Shiping Wang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Multi-View Learning Via Low-Rank Tensor Optimization.

Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, Shiping Wang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

An overview of recent multi-view clustering.

Lele Fu, Pengfei Lin, Athanasios V. Vasilakos, Shiping Wang

Neurocomputing, 2020