I earned my bachelor’s degrees from Shanghai University of Finance and Economics and my master’s degree from Fudan University. My research interests focus on solving scientific problems with deep learning, with particular emphasis on graph machine learning, large language models, and bioinformatics applications.

I am always seeking new research collaborations to tackle challenging problems. Additionally, I am open to discussing technology commercialization and co-founding opportunities. If you see a potential for us to work together, please drop me an email.

Email: yexw0403[at]foxmail[dot]com

Publications

* represents equal contribution and co-first authorship.

BC-Design: A Biochemistry-Aware Framework for Highly Accurate Inverse Protein Folding

Xiangru Tang*, Xinwu Ye*, Fang Wu*, Daniel Shao, Yin Fang, Siming Chen, Dong Xu, Mark Gerstein.

ICML 2025 Workshop GenBio.

paper code data

MMSciBench: Benchmarking Language Models on Chinese Multimodal Scientific Problems

Xinwu Ye, Chengfan Li, Siming Chen, Wei Wei, Xiangru Tang.

ACL 2025 Findings.

paper code data

GNNFairViz: Visual Analysis for Graph Neural Network Fairness

Xinwu Ye, Jielin Feng, Erasmo Purificato, Ludovico Boratto, Michael Kamp, Zengfeng Huang, Siming Chen.

IEEE Transactions on Visualization and Computer Graphics (2025).

paper code video

Preprints

* represents equal contribution and co-first authorship.

VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos

Xinwu Ye*, Jun-Hsiang Yao*, Jielin Feng, Shuhong Mei, Xingyu Lan, Siming Chen.

arXiv (2025).

paper

Education

Master of Science

Fudan University

2023-2025 | Shanghai, China

Bachelor of Science & Bachelor of Engineering

Shanghai University of Finance and Economics

2019-2023 | Shanghai, China

Professional Service

Reviewer

ICML 2025 Workshop AI4MATH

COLM 2025 Workshop SoLaR