Author

Haixian Zhang

Sichuan UniversityORCID 0000-0002-2374-2491Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Han WangiD· 2 shared Bin XiiD· 1 shared Bo HuangiD· 1 shared Changfu LiiD· 1 shared Cheng ShiiD· 1 shared Chengxi ZhaoiD· 1 shared Dehua LuiD· 1 shared Ding BaiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Han WangORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A closed-loop reinforcement learning framework for rapid compound directed optimization

Han Wang, Dehua Lu, Weiping Lyu, Siyu Xiu, Cheng Shi, Xiaonan Zhou, Bin Xi, Wei Feng, Yang Xiao, Yanming Chen, Haixian Zhang, Qi Li, Bo Huang, Zhenming Liu

This paper introduces RCDO, a closed-loop reinforcement learning framework that accelerates compound optimization by integrating experimental feedback with generative models, achieving significant improvements in drug candidate properties.

bioRxiv · Aug 27, 2026 · PreprintBioinformatics

An SE(3)-equivariant Crystal Structure Prediction Framework for Prospective Identification and Development of Bioactive Nucleoside Self-Assembling Materials

Zi Wang, Tianyi Wang, Haixian Zhang, Zhenyuan Huang, Chengxi Zhao, Changfu Li, Tiannan Liu, Ding Bai, Xianglong Han, Hang Zhao, Han Wang

The paper introduces SE3CSP, an SE(3)-equivariant deep-learning framework for crystal structure prediction of nucleosides, achieving 57% accuracy and enabling the discovery of bioactive self-assembling materials.

bioRxiv · May 29, 2026 · PreprintBioengineering