Chenhao Ding

According to our database, Chenhao Ding authored at least 20 papers between 2024 and 2026.

Collaborative distances:

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

2026

Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning.

Jizhou Han, Chenhao Ding, Yuhang He, Songlin Dong, Qiang Wang, Xinyuan Gao, Yihong Gong

IEEE Trans. Circuits Syst. Video Technol., April, 2026

Learning Like Humans: Analogical Concept Learning for Generalized Category Discovery.

Jizhou Han, Chenhao Ding, Yuhang He, Qiang Wang, Shaokun Wang, Songlin Dong, Yihong Gong

CoRR, March, 2026

Trajectory-Diversity-Driven Robust Vision-and-Language Navigation.

Jiangyang Li, Cong Wan, Songlin Dong, Chenhao Ding, Qiang Wang, Zhiheng Ma, Yihong Gong

CoRR, March, 2026

Is Parameter Isolation Better for Prompt-Based Continual Learning?

Jiangyang Li, Chenhao Ding, Songlin Dong, Qiang Wang, Jianchao Zhao, Yuhang He, Yihong Gong

CoRR, January, 2026

P2L-CA: An Effective Parameter Tuning Framework for Rehearsal-Free Multi-Label Class-Incremental Learning.

Songlin Dong, Jiangyang Li, Chenhao Ding, Zhiheng Ma, Haoyu Luo, Yuhang He, Yihong Gong

CoRR, January, 2026

Diversity covariance-aware prompt learning for vision-language models.

Zhengdong Zhou, Songlin Dong, Chenhao Ding, Xinyuan Gao, Yuhang He, Yihong Gong

Pattern Recognit., 2026

Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation.

Jianchao Zhao, Chenhao Ding, Songlin Dong, Jiangyang Li, Qiang Wang, Yuhang He, Yihong Gong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery.

Jizhou Han, Chenhao Ding, Songlin Dong, Yuhang He, Shaokun Wang, Qiang Wang, Yihong Gong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Generative Latent Kernel Modeling for Blind Motion Deblurring.

Chenhao Ding, Jiangtao Zhang, Zongsheng Yue, Hui Wang, Qian Zhao, Deyu Meng

CoRR, July, 2025

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

Jizhou Han, Shaokun Wang, Yuhang He, Chenhao Ding, Qiang Wang, Xinyuan Gao, Songlin Dong, Yihong Gong

CoRR, July, 2025

ExPaMoE: An Expandable Parallel Mixture of Experts for Continual Test-Time Adaptation.

Jianchao Zhao, Chenhao Ding, Songlin Dong, Yuhang He, Yihong Gong

CoRR, July, 2025

Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation.

Jizhou Han, Chenhao Ding, Songlin Dong, Yuhang He, Xinyuan Gao, Yihong Gong

CoRR, July, 2025

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

Songlin Dong, Chenhao Ding, Jiangyang Li, Jizhou Han, Qiang Wang, Yuhang He, Yihong Gong

CoRR, May, 2025

Diversity Covariance-Aware Prompt Learning for Vision-Language Models.

Songlin Dong, Zhengdong Zhou, Chenhao Ding, Xinyuan Gao, Alex ChiChung Kot, Yihong Gong

CoRR, March, 2025

Space Rotation with Basis Transformation for Training-free Test-Time Adaptation.

Chenhao Ding, Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Xiang Song, Alex C. Kot, Yihong Gong

CoRR, February, 2025

KDA-Tuning: Knowledge-Decoupled Adapter Tuning for Vision-Language Models.

Zhengdong Zhou, Chenhao Ding, Qilong Xue

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Test-Time Adaptation via Distribution-Aware Guidance for Vision-Language Models.

Qilong Xue, Chenhao Ding, Zhengdong Zhou, Zeyang Zhao, Yihong Gong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need.

Qiang Wang, Xiang Song, Yuhang He, Jizhou Han, Chenhao Ding, Xinyuan Gao, Yihong Gong

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

SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning.

Chenhao Ding, Jiangyang Li, Songlin Dong, Xinyuan Gao, Yuhang He, Yihong Gong

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

Chenhao Ding, Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Alex C. Kot, Yihong Gong

CoRR, 2024