Zhang, Yunbei

10 publications

TMLR 2026 Prompt-Based Adaptation in Large-Scale Vision Models: A Survey Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han

ICML 2025 DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm

NeurIPS 2025 Doctor Approved: Generating Medically Accurate Skin Disease Images Through AI-Expert Feedback Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

WACV 2025 OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation Yunbei Zhang, Akshay Mehra, Jihun Hamm

CVPRW 2024 Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

WACV 2024 On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm

CVPRW 2024 Test-Time Assessment of a Model's Performance on Unseen Domains via Optimal Transport Akshay Mehra, Yunbei Zhang, Jihun Hamm

NeurIPS 2024 Understanding the Transferability of Representations via Task-Relatedness Akshay Mehra, Yunbei Zhang, Jihun Hamm

NeurIPSW 2023 Analysis of Task Transferability in Large Pre-Trained Classifiers Akshay Mehra, Yunbei Zhang, Jihun Hamm

ICMLW 2023 Risk-Averse Predictions on Unseen Domains via Neural Style Smoothing Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm