Jiaxian Yan

According to our database, Jiaxian Yan authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Structure-Based Drug Design with Geometric Deep Learning: A Comprehensive Survey.

Zaixi Zhang, Jiaxian Yan, Yining Huang, Qi Liu, Enhong Chen, Mengdi Wang, Marinka Zitnik

ACM Comput. Surv., April, 2026

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature.

Jiaxian Yan, Jintao Zhu, Yuhang Yang, Qi Liu, Kai Zhang, Zaixi Zhang, Xukai Liu, Boyan Zhang, Kaiyuan Gao, Jinchuan Xiao, Enhong Chen

CoRR, April, 2026

2025

Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models.

Ruikang Li, Jiaxian Yan, Kai Zhang, Yanjiang Chen, Qi Liu, Min Gao, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Multi-task bioassay pre-training for protein-ligand binding affinity prediction.

Jiaxian Yan, Zhaofeng Ye, Ziyi Yang, Chengqiang Lu, Shengyu Zhang, Qi Liu, Jiezhong Qiu

Briefings Bioinform., January, 2024

DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking.

Jiaxian Yan, Zaixi Zhang, Jintao Zhu, Kai Zhang, Jianfeng Pei, Qi Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking.

Jiaxian Yan, Zaixi Zhang, Kai Zhang, Qi Liu

CoRR, 2023

A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design.

Zaixi Zhang, Jiaxian Yan, Qi Liu, Enhong Chen

CoRR, 2023

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.

Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

An adaptive graph learning method for automated molecular interactions and properties predictions.

Yuquan Li, Chang-Yu Hsieh, Ruiqiang Lu, Xiaoqing Gong, Xiaorui Wang, Pengyong Li, Shuo Liu, Yanan Tian, Dejun Jiang, Jiaxian Yan, Qifeng Bai, Huanxiang Liu, Shengyu Zhang, Xiaojun Yao

Nat. Mach. Intell., 2022