Lele Fu

Orcid: 0000-0001-5304-0434

According to our database1, Lele Fu authored at least 22 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

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Bibliography

2024
Toward Few-Label Vertical Federated Learning.
ACM Trans. Knowl. Discov. Data, August, 2024

Multi-View Graph Convolutional Networks with Differentiable Node Selection.
ACM Trans. Knowl. Discov. Data, January, 2024

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics.
IEEE Trans. Signal Inf. Process. over Networks, 2024

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning.
Neural Networks, 2024

FedSeProto: Learning Semantic Prototype in Federated Learning.
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.
Inf. Fusion, July, 2023

A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection.
ACM Trans. Knowl. Discov. Data, January, 2023

Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss.
IEEE Trans. Multim., 2023

Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering.
IEEE Trans. Multim., 2023

Cross-view graph matching for incomplete multi-view clustering.
Neurocomputing, 2023

Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training.
CoRR, 2023

Mutual Information-Driven Multi-View Clustering.
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.
IEEE Trans. Comput. Soc. Syst., 2022

A structure noise-aware tensor dictionary learning method for high-dimensional data clustering.
Inf. Sci., 2022

Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering.
Inf. Sci., 2022

Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering.
Neurocomputing, 2022

Subspace-Contrastive Multi-View Clustering.
CoRR, 2022

Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Enhanced Multi-view Matrix Factorization with Shared Representation.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Multi-View Learning Via Low-Rank Tensor Optimization.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
An overview of recent multi-view clustering.
Neurocomputing, 2020


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