About me

I am a Ph.D. student in Computer Science and Technology at Tongji University, supervised by Prof. Guang Chen, who leads the Generalist Embodied AI Lab.

My research interests lie in AI for Science (AI4Science), including drug discovery, antibody discovery, virtual cells and organs, and automated laboratories.

I am also a research intern at XtalPi, working on antibody–antigen interaction prediction and antibody design.

I welcome research collaborations and discussions across these areas. If you are interested in working together or exchanging ideas, please feel free to contact me at east@tongji.edu.cn.

News

  • Our work (SeFMol) on structure-based molecular generation is accepted by Science Advances (IF: 12.5)! The online SeFMol Platform is now live for use and testing.
  • I joined the Ailux & Antibody IDD department at XtalPi as a research intern, focusing on AI for antibody discovery.
  • Received the Special Prize and Most Popular Award in the 19th Challenge Cup AI+ Special Competition.
  • Our work (SWITCH) on spatial multi-omics is accepted by Nature Computational Science (IF: 18.3)!
  • Our work (RCP-Bench) on collaborative perception is accepted by CVPR 2025!
  • Our work (AMG) on 3D structure-based molecular generation is accepted by Briefings in Bioinformatics (IF: 7.7)!
  • Our work on medical image segmentation is accepted by IEEE JBHI!
  • Our work (Molormer) on drug-drug interaction prediction is accepted by Briefings in Bioinformatics (IF: 13.994)!

Selected publications

2026

2025

RCP-Bench research framework
RCP-Bench

RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions

Shihang Du, Sanqing Qu, Tianhang Wang, Xudong Zhang, Yunwei Zhu, Jian Mao, Fan Lu, Qiao Lin, Guang Chen

CVPR 2025

2022

Molormer research framework
Molormer

Molormer: a lightweight self-attention-based method focused on spatial structure of molecular graph for drug-drug interactions prediction

Xudong Zhang, Gan Wang, Xiangyu Meng, Shuang Wang, Ying Zhang, Alfonso Rodriguez-Paton, Jianmin Wang, Xun Wang

Briefings in Bioinformatics (BIB), 2022

DeepFusion research framework
DeepFusion

DeepFusion: A Deep Learning Based Multi-Scale Feature Fusion Method for Predicting Drug-Target Interactions

Tao Song, Xudong Zhang, Mao Ding, Alfonso Rodriguez-Paton, Shudong Wang, Gan Wang

Methods, 2022

TransFusionNet research framework
TransFusionNet

TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2

Xun Wang, Xudong Zhang, Gan Wang, Ying Zhang, Xin Shi, Huanhuan Dai, Min Liu, Zixuan Wang, Xiangyu Meng

IEEE Journal of Biomedical and Health Informatics (JBHI), 2022

Experience

Jan 2026 — Present

Research Intern

XtalPi

Ailux & 抗体IDD部

Developing computational methods for out-of-distribution (OOD) antibody–antigen interaction prediction and antibody design.

Honors & awards

  • 2025.10 Special Prize and Most Popular Award, 19th Challenge Cup AI+ Special Competition
  • 2024.12 First Prize in the 2nd Global AI Drug Development Algorithm Competition (1/226)
  • 2023.04 Outstanding Graduate of Shandong Province
  • 2022.12 National scholarship for Postgraduates

Academic service

Journal reviewer

  • Briefings in Bioinformatics
  • IEEE Journal of Biomedical and Health Informatics
  • Journal of Cheminformatics
  • BioData Mining
  • BMC Bioinformatics