Yuhe Ding

According to our database, Yuhe Ding authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

2026

A 26-Gram Butterfly-Inspired Robot Achieving Autonomous Tailless Flight.

Weibin Gu, Chenrui Feng, Lian Liu, Chen Yang, Xingchi Jiao, Yuhe Ding, Xiaofei Shi, Chao Gao, Alessandro Rizzo, Guyue Zhou

CoRR, February, 2026

Multi-level alignment network for unsupervised domain adaptive multi-modality object re-identification.

Yusong Sheng, Yuhe Ding, Aihua Zheng, Ziqi Liu, Zi Wang, Jin Tang

Knowl. Based Syst., 2026

2025

Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging.

Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He

CoRR, December, 2025

RULER: Source-free Domain Adaptive Person Re-identification via Uncertain Label Refinery.

Aihua Zheng, Zhihao Fei, Yuhe Ding, Chenglong Li, Bin Luo

Mach. Intell. Res., October, 2025

Fine-Grained VLM Fine-tuning via Latent Hierarchical Adapter Learning.

Yumiao Zhao, Bo Jiang, Yuhe Ding, Xiao Wang, Jin Tang, Bin Luo

CoRR, August, 2025

Harmonizing and Merging Source Models for CLIP-based Domain Generalization.

Yuhe Ding, Jian Liang, Bo Jiang, Zi Wang, Aihua Zheng, Bin Luo

CoRR, June, 2025

Visual and text prompt learning for multi-modal brain disease diagnosis.

Yumiao Zhao, Bo Jiang, Yuhe Ding, Xixi Wan, Jin Tang

Sci. China Inf. Sci., 2025

Exploring Vacant Classes in Label-Skewed Federated Learning.

Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection.

Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He

IEEE Trans. Circuits Syst. Video Technol., March, 2024

Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks.

Yuhe Ding, Bo Jiang, Aihua Zheng, Qin Xu, Jian Liang

CoRR, 2024

State Space Model for New-Generation Network Alternative to Transformers: A Survey.

Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Yao Rong, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang

CoRR, 2024

Which Model to Transfer? A Survey on Transferability Estimation.

Yuhe Ding, Bo Jiang, Aijing Yu, Aihua Zheng, Jian Liang

CoRR, 2024

Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning.

Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

CoRR, 2024

2023

ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation.

Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He

Neural Networks, October, 2023

Unleashing the power of Neural Collapse for Transferability Estimation.

Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang

CoRR, 2023

Where to Focus: Central Attention-Based Face Forgery Detection.

Jinghui Sun, Yuhe Ding, Jie Cao, Junxian Duan, Aihua Zheng

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Modify: Model-Driven Face Stylization Without Style Images.

Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He

Proceedings of the IEEE International Conference on Acoustics, 2023

2020

Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion.

Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He

Proceedings of the 25th International Conference on Pattern Recognition, 2020