Zhengyu Fang

Joint Learning of Drug-Drug Combination and Drug-DrugInteraction via Coupled Tensor-Tensor Factorization with SideInformation

This paper proposes a joint learning framework for predicting drug combinations and drug-drug interactions using coupled tensor-tensor factorization with side information, achieving strong performance on new-drug prediction.

DrugLM: A Unified Framework to Enhance Drug-Target Interaction Predictions by Incorporating Textual Embeddings via Language Models

DrugLM enhances drug-target interaction predictions by integrating textual embeddings from large language models into DTI models, showing strong performance without fine-tuning.