Chenhao Ding

According to our database1, Chenhao Ding authored at least 13 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Generative Latent Kernel Modeling for Blind Motion Deblurring.
CoRR, July, 2025

Unleashing the Power of Neural Collapse: Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery.
CoRR, July, 2025

ExPaMoE: An Expandable Parallel Mixture of Experts for Continual Test-Time Adaptation.
CoRR, July, 2025

Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation.
CoRR, July, 2025

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models.
CoRR, May, 2025

Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning.
CoRR, March, 2025

Diversity Covariance-Aware Prompt Learning for Vision-Language Models.
CoRR, March, 2025

Space Rotation with Basis Transformation for Training-free Test-Time Adaptation.
CoRR, February, 2025

KDA-Tuning: Knowledge-Decoupled Adapter Tuning for Vision-Language Models.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Test-Time Adaptation via Distribution-Aware Guidance for Vision-Language Models.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
LOBG:Less Overfitting for Better Generalization in Vision-Language Model.
CoRR, 2024


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