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Lele Fu
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2020 – today
- 2024
- [j14]Siran Zhao
, Tianchi Liao
Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. Neural Networks 179: 106627 (2024) - [j13]Zhaoliang Chen
Multi-View Graph Convolutional Networks with Differentiable Node Selection. ACM Trans. Knowl. Discov. Data 18(1): 6:1-6:21 (2024) - [j12]Lei Zhang
Toward Few-Label Vertical Federated Learning. ACM Trans. Knowl. Discov. Data 18(7): 176 (2024) - [j11]Sujia Huang
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics. IEEE Trans. Signal Inf. Process. over Networks 10: 584-598 (2024) - [c6]Lele Fu
FedSeProto: Learning Semantic Prototype in Federated Learning. ECAI 2024: 2122-2129 - 2023
- [j10]Jinghua Yang, Lele Fu, Chuan Chen, Hong-Ning Dai
Cross-view graph matching for incomplete multi-view clustering. Neurocomputing 515: 79-88 (2023) - [j9]Zhaoliang Chen
Learnable graph convolutional network and feature fusion for multi-view learning. Inf. Fusion 95: 109-119 (2023) - [j8]Yu Wang
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection. ACM Trans. Knowl. Discov. Data 17(1): 2:1-2:20 (2023) - [j7]Sheng Huang
Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss. IEEE Trans. Multim. 25: 3259-3272 (2023) - [j6]Lele Fu
Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering. IEEE Trans. Multim. 25: 4972-4985 (2023) - [c5]Lei Zhang
Mutual Information-Driven Multi-View Clustering. CIKM 2023: 3268-3277 - [i4]Yuecheng Li, Yanming Hu, Lele Fu, Chuan Chen, Lei Yang, Zibin Zheng:
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training. CoRR abs/2311.11073 (2023) - 2022
- [j5]Lele Fu, Jieling Li, Chuan Chen:
Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering. Neurocomputing 514: 113-126 (2022) - [j4]Lele Fu, Jinghua Yang, Chuan Chen, Chuanfu Zhang:
Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering. Inf. Sci. 606: 877-891 (2022) - [j3]Jinghua Yang, Chuan Chen, Hong-Ning Dai
A structure noise-aware tensor dictionary learning method for high-dimensional data clustering. Inf. Sci. 612: 87-106 (2022) - [j2]Shiping Wang
Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification. IEEE Trans. Comput. Soc. Syst. 9(3): 926-939 (2022) - [c4]Jinghua Yang, Chuan Chen, Hong-Ning Dai
Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. CIKM 2022: 2362-2371 - [c3]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 - [i3]Lele Fu, Lei Zhang, Jinghua Yang, Chuan Chen, Chuanfu Zhang, Zibin Zheng:
Subspace-Contrastive Multi-View Clustering. CoRR abs/2210.06795 (2022) - [i2]Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang:
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning. CoRR abs/2211.09155 (2022) - [i1]Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo:
Multi-view Graph Convolutional Networks with Differentiable Node Selection. CoRR abs/2212.05124 (2022) - 2021
- [c2]Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, Shiping Wang:
Multi-View Learning Via Low-Rank Tensor Optimization. ICME 2021: 1-6 - [c1]Sheng Huang
Enhanced Multi-view Matrix Factorization with Shared Representation. PRCV (4) 2021: 276-287 - 2020
- [j1]Lele Fu, Pengfei Lin, Athanasios V. Vasilakos
An overview of recent multi-view clustering. Neurocomputing 402: 148-161 (2020)
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