Yunbei Zhang

About Me

Hi, I’m Yunbei Zhang (张云贝), a Ph.D. student in Computer Science at Tulane University, advised by Prof. Jihun Hamm. My current research is focused on Trustworthy ML, Test/Inference-time Learning, and Efficient Model Reprogramming.

Prior to my doctoral studies, I graduated with a B.S. in Mathematics from Osaka University, where I was advised by Prof. Masaaki Wada and Prof. Seidai Yasuda. My undergraduate education also includes two years at Peking University; in 2015, I made a deliberate choice to withdraw and forge my own path, a decision that ultimately led me to where I am today.

I'm always open to discussing new research ideas and potential collaborations. If my work resonates with your interests, I would be delighted to connect.

News

[2025.10] Awarded as a Top Reviewer for NeurIPS 2025!
[2025.10] Our new survey on Prompt-based Adaptation in Large-scale Vision Models is out!
[2025.10] Invited as a reviewer for CVPR 2026.
[2025.09] One paper is accepted to NeurIPS 2025, see you in San Diego!
[2025.09] Join Amazon as an Applied Scientist Intern, see you in Seattle!
[2025.09] Invited as a reviewer for ICLR 2026.
[2025.08] Successfully passed PhD Oral Qualification exam!
[2025.07] Two papers are accepted to ACM MM 2025!
[2025.06] One paper is accepted to USENIX 2025!
[2025.05] Join KLA as a Research Scientist Intern.
[2025.05] One paper is accepted to ICML 2025!

Publications (* indicates equal contribution)

ICML'25

DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation

Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm

International Conference on Machine Learning (ICML), 2025.

PDF Code

NeurIPS'25

Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback

Janet Wang*, Yunbei Zhang*, Zhengming Ding, Jihun Hamm

Neural Information Processing Systems (NeurIPS), 2025.

PDF Code

ACM MM'25

eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases

Janet Wang, Xin Hu, Yunbei Zhang, Diabate Almamy, Vagamon Bamba, Konan Amos Sébastien Koffi, Yao Koffi Aubin, Zhengming Ding, Jihun Hamm, Rie R. Yotsu

33rd ACM International Conference on Multimedia (ACM MM), 2025.

ACM MM'25

Visual Instance-aware Prompt Tuning

Xi Xiao*, Yunbei Zhang*, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu

33rd ACM International Conference on Multimedia (ACM MM), 2025.

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USENIX'25

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation

Yunsung Cheung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm

USENIX Security Symposium (USENIX), 2025.

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WACV'25

OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation

Yunbei Zhang, Akshay Mehra, Jihun Hamm

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025. [Oral]

PDF Code

NeurIPS'24

Understanding the Transferability of Representations via Task-Relatedness

Akshay Mehra, Yunbei Zhang, Jihun Hamm

Neural Information Processing Systems (NeurIPS), 2024.

PDF Code

CVPRW'24

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation

Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

2024 IEEE CVPR Workshop on Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis.

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Honors and Awards

Outstanding Teaching Assistant Award, Tulane University, 2024
Ichikawa International Scholarship, Osaka University, 2021
Osaka University Award of Excellence, 2019
School of Science Honor Scholarship, Osaka University, 2018-2021
Monbukagakusho Honors Scholarship for International Students, Ministry of Education of Japan, 2018, 2021

Services

Conference Reviewer: NeurIPS 2025 (Top Reviewer), ACM MM 2025, WACV 2025, ICLR 2025-2026, CVPR 2025
Journal Reviewer: Journal of Imaging Informatics in Medicine
NeurIPS 2023 Outreach Program Volunteer