Wenke Huang

Orcid: 0000-0003-4819-293X

Affiliations:

Wuhan University, China

According to our database¹, Wenke Huang authored at least 56 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2025

Lightweight Federated Domain Generalization With Global-Local Contrastive Learning for Machine Fault Diagnosis.

[BibT_eX]

[DOI]

Rui Wang

Weiguo Huang

Wenke Huang

IEEE Internet Things J., October, 2025

Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts.

[BibT_eX]

[DOI]

CoRR, September, 2025

MAPO: Mixed Advantage Policy Optimization.

[BibT_eX]

[DOI]

CoRR, September, 2025

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, August, 2025

Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency.

[BibT_eX]

[DOI]

CoRR, August, 2025

Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID.

[BibT_eX]

[DOI]

CoRR, July, 2025

An Empirical Study of Federated Prompt Learning for Vision Language Model.

[BibT_eX]

[DOI]

CoRR, May, 2025

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Backdoor Cleaning without External Guidance in MLLM Fine-tuning.

[BibT_eX]

[DOI]

CoRR, May, 2025

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

[BibT_eX]

[DOI]

CoRR, April, 2025

Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, April, 2025

3D Human Interaction Generation: A Survey.

[BibT_eX]

[DOI]

CoRR, March, 2025

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, March, 2025

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.

[BibT_eX]

[DOI]

CoRR, March, 2025

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations.

[BibT_eX]

[DOI]

CoRR, February, 2025

Gradient and Structure Consistency in Multimodal Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

Kindle Federated Generalization With Domain Specialized and Invariant Knowledge.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Self-knowledge distillation with dimensional history knowledge.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2025

An Empirical Study of Federated Prompt Learning for Vision Language Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Pixel-wise Divide and Conquer for Federated Vessel Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

S2FGL: Spatial Spectral Federated Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Energy-based Backdoor Defense Against Federated Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EMOE: Modality-Specific Enhanced Dynamic Emotion Experts.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Federated Recommendation with Explicitly Encoding Item Bias.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Label-Free Backdoor Attacks in Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

[BibT_eX]

[DOI]

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

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

FedAS: Bridging Inconsistency in Personalized Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Rethinking Federated Learning with Domain Shift: A Prototype View.

[BibT_eX]

[DOI]

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

2022

Few-Shot Model Agnostic Federated Learning.

[BibT_eX]

[DOI]

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

Learn from Others and Be Yourself in Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Wenke Huang

Mang Ye

Bo Du

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

Wenke Huang

Timeline

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