Yunbei Zhang

According to our database, Yunbei Zhang authored at least 29 papers between 2023 and 2026.

Collaborative distances:

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

2026

Stop Comparing LLM Agents Without Disclosing the Harness.

Yunbei Zhang, Janet Wang, Yingqiang Ge, Weijie Xu, Jihun Hamm, Chandan K. Reddy

CoRR, May, 2026

EVA-0: Test-Time Model Evolution with Only Two Forward Passes per Sample.

Guohao Chen, Shuaicheng Niu, Geng Li, Yunbei Zhang, Shilin Shan, Chunyan Miao, Jianfei Yang

CoRR, May, 2026

Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models.

Yunbei Zhang, Shuaicheng Niu, Chengyi Cai, Feng Liu, Jihun Hamm

CoRR, April, 2026

Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation.

Yunbei Zhang, Chengyi Cai, Feng Liu, Jihun Hamm

CoRR, April, 2026

ClawSafety: "Safe" LLMs, Unsafe Agents.

Bowen Wei, Yunbei Zhang, Jinhao Pan, Kai Mei, Xiao Wang, Jihun Hamm, Ziwei Zhu, Yingqiang Ge

CoRR, April, 2026

Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning.

Ming Liu, Yunbei Zhang, Shilong Liu, Liwen Wang, Wensheng Zhang

CoRR, March, 2026

Visual Exclusivity Attacks: Automatic Multimodal Red Teaming via Agentic Planning.

Yunbei Zhang, Yingqiang Ge, Weijie Xu, Yuhui Xu, Jihun Hamm, Chandan K. Reddy

CoRR, March, 2026

Not All Directions Matter: Toward Structured and Task-Aware Low-Rank Adaptation.

Xi Xiao, Chenrui Ma, Yunbei Zhang, Chen Liu, Zhuxuanzi Wang, Yanshu Li, Lin Zhao, Guosheng Hu, Tianyang Wang, Hao Xu

CoRR, March, 2026

Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness.

Xin Hu, Haomiao Ni, Yunbei Zhang, Jihun Hamm, Zechen Li, Zhengming Ding

CoRR, February, 2026

Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook.

Yunbei Zhang, Kai Mei, Ming Liu, Janet Wang, Dimitris N. Metaxas, Xiao Wang, Jihun Hamm, Yingqiang Ge

CoRR, February, 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

Trans. Mach. Learn. Res., 2026

RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding.

Xi Xiao, Yunbei Zhang, Janet Wang, Lin Zhao, Yuxiang Wei, Hengjia Li, Yanshu Li, Xiao Wang, Swalpa Kumar Roy, Hao Xu, Tianyang Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation.

Xi Xiao, Chenrui Ma, Yunbei Zhang, Chen Liu, Zhuxuanzi Wang, Yanshu Li, Lin Zhao, Guosheng Hu, Tianyang Wang, Hao Xu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models.

Zhuxuanzi Wang, Mingqiao Mo, Xi Xiao, Chen Liu, Chenrui Ma, Yunbei Zhang, Xiao Wang, Smita Krishnaswamy, Tianyang Wang

CoRR, October, 2025

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

Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

CoRR, June, 2025

Describe Anything in Medical Images.

Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen, Ba Thinh Lam, Janet Wang, Lin Zhao, Jihun Hamm, Tianyang Wang, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, Min Xu

CoRR, May, 2025

Visual Variational Autoencoder Prompt Tuning.

Xi Xiao, Yunbei Zhang, Yanshuh Li, Xingjian Li, Tianyang Wang, Jihun Hamm, Xiao Wang, Min Xu

CoRR, March, 2025

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

Yunbei Zhang, Akshay Mehra, Jihun Hamm

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm

Proceedings of the 34th USENIX Security Symposium, 2025

Visual Instance-aware Prompt Tuning.

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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases.

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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation.

Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time Adaptation.

Yunbei Zhang, Akshay Mehra, Jihun Hamm

CoRR, 2024

On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization.

Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Understanding the Transferability of Representations via Task-Relatedness.

Akshay Mehra, Yunbei Zhang, Jihun Hamm

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation.

Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport.

Akshay Mehra, Yunbei Zhang, Jihun Hamm

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification?

Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

CoRR, 2023

Analysis of Task Transferability in Large Pre-trained Classifiers.

Akshay Mehra, Yunbei Zhang, Jihun Hamm

CoRR, 2023