Wenke Huang

According to our database, Wenke Huang authored at least 20 papers between 2022 and 2024.

Collaborative distances:

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

2024

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.

Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning.

Wenke Huang, Mang Ye, Zekun Shi, Bo Du

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Label-Aware Calibration and Relation-Preserving in Visual Intention Understanding.

Qinghongya Shi, Mang Ye, Wenke Huang, Weijian Ruan, Bo Du

IEEE Trans. Image Process., 2024

Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification.

Wenke Huang, Yuxia Liu, Mang Ye, Jun Chen, Bo Du

IEEE Trans. Inf. Forensics Secur., 2024

Robust Attitude Tracking Control Based on Adaptive Dynamic Programming for Flexible Dumbbell-Shaped Spacecraft.

Wenke Huang, Guangtao Ran, Bohui Wang, Dongyu Li, Wenye Dong

IEEE Trans. Aerosp. Electron. Syst., 2024

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning.

Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye

CoRR, 2024

FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference.

Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye

CoRR, 2024

Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling.

Wei Shen, Mang Ye, Wenke Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning.

Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning.

Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning.

Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2024, 2024

FedAS: Bridging Inconsistency in Personalized Federated Learning.

Xiyuan Yang, Wenke Huang, Mang Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity.

Yuhang Chen, Wenke Huang, Mang Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Federated Graph Learning under Domain Shift with Generalizable Prototypes.

Guancheng Wan, Wenke Huang, Mang Ye

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dynamic Personalized Federated Learning with Adaptive Differential Privacy.

Xiyuan Yang, Wenke Huang, Mang Ye

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Graph Semantic and Structural Learning.

Wenke Huang, Guancheng Wan, Mang Ye, Bo Du

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Rethinking Federated Learning with Domain Shift: A Prototype View.

Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Few-Shot Model Agnostic Federated Learning.

Wenke Huang, Mang Ye, Bo Du, Xiang Gao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Hardware-Friendly and Robust Facial Landmark Detection Method.

Liang Xie, Menghao Hu, Xinbei Bai, Wenke Huang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Learn from Others and Be Yourself in Heterogeneous Federated Learning.

Wenke Huang, Mang Ye, Bo Du

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022