Wenjie Zhu

My name is Wenjie Zhu, and I am a fourth-year Ph.D. candidate in the VC Lab at The Hong Kong Polytechnic University. I am fortunate to be advised by IEEE Fellow Prof. Lei Zhang and IEEE Fellow Prof. Wenjun Zeng. Before starting my Ph.D., I received my M.S. degree from New York University and my B.S. degree from Central South University.

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Research

I'm interested in computer vision, machine learning, trustworthy AI, AI in Health. Some papers are highlighted.

Dual Distribution Estimation for Zero-shot Noisy Test-Time Adaptation with VLMs
Wenjie Zhu, Yabin Zhang, Liang Xu, Xin Jin, Wenjun Zeng, Lei Zhang,
ECCV, 2026
project page / arXiv

we propose a novel framework named Dual Distribution Estimation (DDE), shifting the zero-shot NTTA paradigm from instance-level learning to training-free Gaussian distribution modeling.

ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
Wenjie Zhu Yabin Zhang, Xin Jin, Wenjun Zeng, Lei Zhang,
CVPR, 2026   (Oral)
project page / arXiv

we propose the ANTS approach by leveraging the understanding and reasoning capabilities of MLLMs.

Knowledge Regularized Negative Feature Tuning of Vision-Language Models
Wenjie Zhu Yabin Zhang, Xin Jin, Wenjun Zeng, Lei Zhang,
ACMMM, 2025   (Oral)
project page / arXiv

we propose a novel framework named Knowledge Reglarized Negative Feature Tuning (KR-NFT).

MMOOC: A Comprehensive Benchmark for Out-of-Context Evaluation in Multimodal Large Language Models
Wenjie Zhu Yabin Zhang, Xin Jin, Wenjun Zeng, Lei Zhang,
arXiv, 2026
arXiv

MMOOC: A Comprehensive Benchmark for Out-of-Context Evaluation in Multimodal Large Language Models

prl lapt: label-driven automated prompt tuning for ood detection with vision-language models
Yabin Zhang, Wenjie Zhu, Chenhang He, Lei Zhang,
ECCV, 2024
bibtex

we introduce Label-driven Automated Prompt Tuning (LAPT), a novel approach to OOD detection that reduces the need for manual prompt engineering.

blind-date Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Chenhang He, Lei Zhang,
CVPR, 2024

we introduce a versatile adaptation approach that can effectively work under all three settings.

Miscellanea

Academic Service

Reviewer, Neurips 2026
Reviewer, ECCV 2026
Reviewer, ICML 2026
Reviewer, AAAI 2026
Reviewer, ACMMM 2025
Reviewer, ICLR 2025
Reviewer, ECCV 2024
Reviewer, CVPR 2024

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