💛 About Me

I am a second-year Master’s student at the University of Science and Technology of China (USTC), affiliated with the MIRACLE Lab. I am fortunate to be advised by Prof. S.Kevin Zhou and Prof. Zihang Jiang. I am currently a visiting scholar in Johns Hopkins University, working with Prof. Alan Yuille and Ph.D. candidate Jieneng Chen.

Previously, I received my bachelor’s degree from Zhiyuan Honored Program, Shanghai Jiao Tong University.

Plan to apply for a 26’Fall PhD program!

If you are interested in my work or would like to collaborate, please feel free to reach out to me at 📧 mwxisj [at] gmail [dot] com

🔬 Research Interests

Currently, I focus on developing scalable, plausible, and 4D-aware representations to enhance the performance and reliability of AI applications, with an emphasis on:

(1) Reformulating input representations so that MLLMs can more effectively interpret the multimodal signals.

(2) Strengthening learned representations in MLLMs through world-modeling engines with temporal consistency and causal plausibility to enhance downstream reasoning.

I have experiences leading both Computer Vision projects and Medical Image Analysis projects.

🔔 News

[June 2025] 🎉 Two papers are accepted by MICCAI2025!

[May 2025] 🎉 A paper is accepted by ACL2025 (Findings)!

[Apr 2025] 🎤 Gave a talk at CSIG Wuhan Member Activity Center ‘Donghu Forum’ Frontier Paper Sharing Session!

[Feb 2025] 🎉 A paper is accepted by CVPR2025! 😊 See you in Nashville!

[Feb 2025] 🎉 A paper is available on arxiv!

[Nov 2024] 🎉 Received China National Scholarship by Chinese Ministry of Education (Top 0.2%)!

[Jul 2024] 🎉 A paper accepted by WACV2025 (oral)! 😊 See you in Tucson!

[Sep 2023] A New Start: My research life starts as a master student in MIRACLE lab! Good luck to myself!

📖 Selected Publications

- corresponding author; & - co-first author; full list is can be found: Google Scholar

AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP

Wenxin Ma, Xu Zhang, Qingsong Yao, Fenghe Tang, Chenxu Wu, Yingtai Li, Rui Yan, Zihang Jiang*, S. Kevin Zhou*

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

Wenxin Ma & Fenghe Tang, Zhiyang He, Xiaodong Tao, Zihang Jiang*, S. Kevin Zhou*

Towards Accurate Unified Anomaly Segmentation

Wenxin Ma, Qingsong Yao, Xiang Zhang, Zhelong Huang, Zihang Jiang*, S. Kevin Zhou*

U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

Fenghe Tang, Chengqi Dong, Wenxin Ma, ..., S. Kevin Zhou*

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation

Fenghe Tang, Qingsong Yao, Wenxin Ma, Chenxu Wu, Zihang Jiang*, S. Kevin Zhou*

A General Knowledge Injection Framework for ICD Coding

Xu Zhang, Kun Zhang, Wenxin Ma, ..., S. Kevin Zhou*

📖 Professional Services

Journal Reviewer:

Medical Image Analysis

🏅 Honors and Awards

[Nov 2024] 🎉 China National Scholarship by Chinese Ministry of Education (Top 0.2%)

[Oct 2024] 🎉 Outstanding Student Scholarship (Grade 1) by USTC (Top 30%)

[Oct 2023] 🎉 Outstanding Student Scholarship (Grade 1) by USTC (Top 30%)

[Nov 2022] 🎉 Zhiyuan Honored Scholarship by SJTU (Top 5%)

[Nov 2021] 🎉 Zhiyuan Honored Scholarship by SJTU (Top 5%)

[Nov 2020] 🎉 Zhiyuan Honored Scholarship by SJTU (Top 5%)

[Nov 2019] 🎉 Zhiyuan Honored Scholarship by SJTU (Top 5%)