About

Hey there! I'm currently a third-year Ph.D. student in Computer Science and Technology at Tongji University, supervised by Prof. Guang Chen, the head of the Generalist Embodied AI Lab. My research focuses on AI4Science, with specific interests in (1) drug discovery, (2) generative models, and (3) reinforcement learning.

πŸ“£ News

  • πŸŽ‰ 2025.08 Our work (SWITCH) on spatial multi-omics is accepted by Nature Computational Science (NCS)!
  • πŸŽ‰ 2025.02 Our work (RCP-Bench) on collaborative perception is accepted by CVPR 2025!
  • πŸŽ‰ 2024.12 We won the championship (1/226) in The Second Global AI Drug Development Algorithm Competition!
  • πŸŽ‰ 2024.11 Our work (AMG) on 3D structure-based molecular generation is accepted by Briefings in Bioinformatics!
  • πŸŽ‰ 2022.09 Our work on medical image segmentation is accepted by IEEE JBHI (IF: 7.7)!
  • πŸŽ‰ 2022.07 Our work (Molormer) on drug-drug interaction prediction is accepted by Briefings in Bioinformatics (IF: 13.994)!
  • πŸŽ‰ 2021.12 Our work on drug-drug interaction prediction is accepted by Briefings in Bioinformatics (IF: 13.994)!

πŸ“ Publications

Integrative deep learning of spatial multi-omics with SWITCH

Zhongzhan Li, Sanqing Qu, Haixin Liang, Ruohui Tang, Xudong Zhang, Fan Lu, Jiani Yang, Ziling Gan, Shaorong Gao, Yanping Zhang, Guang Chen

Nature Computational Science, 2025

Link PDF Code
SWITCH Framework

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

Link PDF Code
RCP-Bench Framework

Deep reinforcement learning as an interaction agent to steer fragment-based 3D molecular generation for protein pockets

Xudong Zhang, Jing Hou, Sanqing Qu, Fan Lu, Zhixin Tian, Alois Knoll, Guang Chen, Shaorong Gao, Yanping Zhang

Briefings in Bioinformatics (BIB), 2025

Link PDF Code
AMG Framework

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

Link PDF Code
Molormer Framework

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

Link PDF Code
DeepFusion Framework

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

Link PDF Code
TransFusionNet Framework

πŸ’Ό Experience

Research Intern

XtalPi (Ailux & ζŠ—δ½“IDD部)
2026.01 - Present

Conducting research on AI antibody design, focusing on developing computational methods for out-of-distribution (OOD) antibody-antigen interaction prediction and antibody design.

πŸ† Honors and 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

I serve as a reviewer for Briefings in Bioinformatics, JBHI, Journal of Cheminformatics, BioData Mining, and BMC Bioinformatics.