Xiangzheng Fu — accepted AI-conference papers

2026

MultiGeo: Predicting Drug-Target Affinity via Adaptive Multi-Conformation Ensemble Learning

Ruida Zeng, Cheng Guo, Yajie Meng, Xunkun Cheng, Zhiwei Xu, Xiangzheng Fu +3

IJCAI 2026

Predicting drug–target affinity (DTA) is central to drug discovery, yet most deep learning models rely on a single static protein structure, neglecting the conformational heterogeneity that underlies many binding mechanisms. We propose MultiGeo, a DTA prediction framework that explicitly leverages m

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2025

From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing

Chengrui Xiang, Tengfei Ma, Xiangzheng Fu, Yiping Liu, Bosheng Song, Xiangxiang Zeng

EMNLP 2025

Drug repurposing plays a critical role in accelerating treatment discovery, especially for complex and rare diseases. Biomedical knowledge graphs (KGs), which encode rich clinical associations, have been widely adopted to support this task. However, existing methods largely overlook common-sense bio

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