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ORCIDLele Fu
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2020 – today
- 2026
[j26]Deping Chu, Lele Fu, Bo Wan, Fang Fang, Shunping Zhou:
Open spatial relation extraction about geological objects with dependency graph network. Earth Sci. Informatics 19(5): 57 (2026)- [j25]Tianchi Liao, Siran Zhao
, Lele Fu, Sheng Huang, K. Ng Michael, Zibin Zheng, Chuan Chen:
Credible grouping of heterogeneous clients for personalized federated learning via block-term decomposition. Inf. Fusion 133: 104318 (2026) - [j24]Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen:
FedG2: Cross-domain federated graph learning via dual graph matching. Pattern Recognit. 179: 113565 (2026) - [j23]Sujia Huang, Lele Fu, Zhaoliang Chen, Tong Zhang, Xiaoli Li, Zhen Cui:
ADAN: Adversarial Distribution Alignment Network for Multi-View Semi-Supervised Classification. IEEE Trans. Image Process. 35: 4861-4876 (2026) - [c19]Shuman Zhuang, Zhihao Wu, Wei Huang, Luojun Lin, Jiali Yin, Lele Fu, Hong-Ning Dai:
Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning. AAAI 2026: 29241-29250 - [i7]Yi Zhang, Jiawen Zhu, Lele Fu, Guansong Pang:
AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection. CoRR abs/2605.30140 (2026) - 2025
- [j22]Lele Fu, Yuecheng Li, Sheng Huang, Chuan Chen, Chuanfu Zhang, Zibin Zheng:
Parameter-oriented contrastive schema and multi-level knowledge distillation for heterogeneous federated learning. Inf. Fusion 121: 103123 (2025) - [j21]Sujia Huang, Lele Fu, Shide Du, Zhihao Wu, Athanasios V. Vasilakos, Shiping Wang:
Low-rank tensor learning with projection distance metric for multi-view clustering. Int. J. Mach. Learn. Cybern. 16(1): 25-41 (2025) - [j20]Lele Fu, Sheng Huang, Yuecheng Li, Chuan Chen, Chuanfu Zhang, Zibin Zheng:
Learn the global prompt in the low-rank tensor space for heterogeneous federated learning. Neural Networks 187: 107319 (2025) - [j19]Zixiao Yu, Lele Fu, Yongyong Chen, Zhiling Cai, Guoqing Chao:
Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1728-1742 (2025) - [j18]Tianchi Liao, Lele Fu, Lei Zhang, Lei Yang, Chuan Chen, Michael Kwok-Po Ng, Huawei Huang, Zibin Zheng:
Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features. IEEE Trans. Inf. Forensics Secur. 20: 3445-3460 (2025) - [j17]Lele Fu, Sheng Huang, Yanyi Lai, Chuanfu Zhang, Hong-Ning Dai, Zibin Zheng, Chuan Chen:
Federated Domain-Independent Prototype Learning With Alignments of Representation and Parameter Spaces for Feature Shift. IEEE Trans. Mob. Comput. 24(9): 9004-9019 (2025) - [j16]Sheng Huang, Lele Fu, Yuecheng Li, Chuan Chen, Zibin Zheng, Hong-Ning Dai:
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8828-8842 (2025) - [c18]Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang:
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings. AAAI 2025: 16199-16207 - [c17]Lele Fu, Sheng Huang, Yanyi Lai, Tianchi Liao, Chuanfu Zhang, Chuan Chen:
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data. AAAI 2025: 16648-16656 - [c16]Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen:
Towards Understanding Parametric Generalized Category Discovery on Graphs. ICML 2025 - [c15]Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen:
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective. ICML 2025 - [c14]Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen:
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. ICML 2025 - [c13]Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen:
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering. IJCAI 2025: 5145-5153 - [c12]Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen:
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data. IJCAI 2025: 5408-5416 - [c11]Sujia Huang, Lele Fu, Shuman Zhuang, Yide Qiu, Bo Huang, Zhen Cui, Tong Zhang:
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network. IJCAI 2025: 5426-5434 - [c10]Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng:
Federated Domain Generalization with Decision Insight Matrix. IJCAI 2025: 5689-5697 - [c9]Bowen Deng, Lele Fu, Sheng Huang, Tianchi Liao, Jialong Chen, Tao Zhang, Chuan Chen:
GLNCD: Graph-Level Novel Category Discovery. NeurIPS 2025 - [c8]Lele Fu, Tianchi Liao, Sheng Huang, Bowen Deng, Chuanfu Zhang, Shirui Pan, Chuan Chen:
Unsupervised Federated Graph Learning. NeurIPS 2025 - [i6]Sujia Huang, Lele Fu, Zhen Cui, Tong Zhang, Na Song, Bo Huang:
Torque-based Graph Surgery:Enhancing Graph Neural Networks with Hierarchical Rewiring. CoRR abs/2507.21422 (2025) - 2024
- [j15]Siran Zhao, Tianchi Liao, Lele Fu, Chuan Chen, Jing Bian, Zibin Zheng:
Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. Neural Networks 179: 106627 (2024) - [j14]Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo:
Multi-View Graph Convolutional Networks with Differentiable Node Selection. ACM Trans. Knowl. Discov. Data 18(1): 6:1-6:21 (2024) - [j13]Lei Zhang, Lele Fu, Chen Liu, Zhao Yang, Jinghua Yang, Zibin Zheng, Chuan Chen:
Toward Few-Label Vertical Federated Learning. ACM Trans. Knowl. Discov. Data 18(7): 176 (2024) - [j12]Lele Fu, Sheng Huang, Lei Zhang, Jinghua Yang, Zibin Zheng, Chuanfu Zhang, Chuan Chen:
Subspace-Contrastive Multi-View Clustering. ACM Trans. Knowl. Discov. Data 18(9): 211:1-211:35 (2024) - [j11]Sujia Huang, Shide Du, Lele Fu, Zhihao Wu, Shiping Wang:
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics. IEEE Trans. Signal Inf. Process. over Networks 10: 584-598 (2024) - [c7]Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng:
FedSeProto: Learning Semantic Prototype in Federated Learning. ECAI 2024: 2122-2129 - [c6]Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen:
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. NeurIPS 2024 - [i5]Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang:
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings. CoRR abs/2412.11550 (2024) - 2023
- [j10]Jinghua Yang, Lele Fu, Chuan Chen, Hong-Ning Dai, Zibin Zheng:
Cross-view graph matching for incomplete multi-view clustering. Neurocomputing 515: 79-88 (2023) - [j9]Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang:
Learnable graph convolutional network and feature fusion for multi-view learning. Inf. Fusion 95: 109-119 (2023) - [j8]Yu Wang, Chuan Chen, Jinrong Lai, Lele Fu, Yuren Zhou, Zibin Zheng:
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, Yunhe Zhang, Lele Fu, Shiping Wang:
Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss. IEEE Trans. Multim. 25: 3259-3272 (2023) - [j6]Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang:
Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering. IEEE Trans. Multim. 25: 4972-4985 (2023) - [c5]Lei Zhang, Lele Fu, Tong Wang, Chuan Chen, Chuanfu 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, Lele Fu, Zibin Zheng:
A structure noise-aware tensor dictionary learning method for high-dimensional data clustering. Inf. Sci. 612: 87-106 (2022) - [j2]Shiping Wang, Lele Fu, Zhewen Wang, Haiping Xu, William Zhu:
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, Meng Ding, Lele Fu, Zibin Zheng:
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, Yunhe Zhang, Lele Fu, Shiping Wang:
Enhanced Multi-view Matrix Factorization with Shared Representation. PRCV (4) 2021: 276-287 - 2020
- [j1]Lele Fu, Pengfei Lin, Athanasios V. Vasilakos, Shiping Wang:
An overview of recent multi-view clustering. Neurocomputing 402: 148-161 (2020)
Coauthor Index
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last updated on 2026-06-29 01:32 CEST by the dblp team
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