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Wenke Huang
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2020 – today
- 2024
- [j5]Wenke Huang, Mang Ye, Zekun Shi, Bo Du:
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 712-728 (2024) - [j4]Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang:
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9387-9406 (2024) - [j3]Wenke Huang, Guangtao Ran, Bohui Wang, Dongyu Li, Wenye Dong:
Robust Attitude Tracking Control Based on Adaptive Dynamic Programming for Flexible Dumbbell-Shaped Spacecraft. IEEE Trans. Aerosp. Electron. Syst. 60(2): 2394-2406 (2024) - [j2]Wenke Huang, Yuxia Liu, Mang Ye, Jun Chen, Bo Du:
Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification. IEEE Trans. Inf. Forensics Secur. 19: 5738-5750 (2024) - [j1]Qinghongya Shi, Mang Ye, Wenke Huang, Weijian Ruan, Bo Du:
Label-Aware Calibration and Relation-Preserving in Visual Intention Understanding. IEEE Trans. Image Process. 33: 2627-2638 (2024) - [c12]Guancheng Wan, Wenke Huang, Mang Ye:
Federated Graph Learning under Domain Shift with Generalizable Prototypes. AAAI 2024: 15429-15437 - [c11]Xiyuan Yang, Wenke Huang, Mang Ye:
FedAS: Bridging Inconsistency in Personalized Federated Learning. CVPR 2024: 11986-11995 - [c10]Yuhang Chen, Wenke Huang, Mang Ye:
Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity. CVPR 2024: 12077-12086 - [c9]Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du:
Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning. ICML 2024 - [c8]Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye:
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. ICML 2024 - [c7]Wei Shen, Mang Ye, Wenke Huang:
Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling. ACM Multimedia 2024: 5800-5809 - [i4]Yuhang Chen, Wenke Huang, Mang Ye:
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity. CoRR abs/2405.16585 (2024) - [i3]Wenke Huang, Guancheng Wan, Mang Ye, Bo Du:
Federated Graph Semantic and Structural Learning. CoRR abs/2406.18937 (2024) - 2023
- [c6]Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du:
Rethinking Federated Learning with Domain Shift: A Prototype View. CVPR 2023: 16312-16322 - [c5]Wenke Huang, Guancheng Wan, Mang Ye, Bo Du:
Federated Graph Semantic and Structural Learning. IJCAI 2023: 3830-3838 - [c4]Xiyuan Yang, Wenke Huang, Mang Ye:
Dynamic Personalized Federated Learning with Adaptive Differential Privacy. NeurIPS 2023 - [i2]Wenke Huang, Mang Ye, Zekun Shi, Bo Du:
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. CoRR abs/2309.16286 (2023) - [i1]Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang:
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. CoRR abs/2311.06750 (2023) - 2022
- [c3]Wenke Huang, Mang Ye, Bo Du:
Learn from Others and Be Yourself in Heterogeneous Federated Learning. CVPR 2022: 10133-10143 - [c2]Liang Xie, Menghao Hu, Xinbei Bai, Wenke Huang:
Towards Hardware-Friendly and Robust Facial Landmark Detection Method. ICONIP (5) 2022: 432-444 - [c1]Wenke Huang, Mang Ye, Bo Du, Xiang Gao:
Few-Shot Model Agnostic Federated Learning. ACM Multimedia 2022: 7309-7316
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