7 papers
Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis
Pei Liu, Xiangxiang Zeng, Tengfei Ma +3
Whole-Slide Images (WSIs) are widely used for estimating the prognosis of cancer patients. Current studies generally follow a cancer-specific learning paradigm. However, the availa…
DyACE: Dynamic Algorithm Co-evolution for Online Automated Heuristic Design with Large Language Model
Guidong Lu, Yiping Liu, Xiangxiang Zeng
The prevailing paradigm in Automated Heuristic Design (AHD) typically relies on the assumption that a single, fixed algorithm can effectively navigate the shifting dynamics of a co…
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
Chengrui Xiang, Tengfei Ma, Xiangzheng Fu +3
Drug repurposing plays a critical role in accelerating treatment discovery, especially for complex and rare diseases. Biomedical knowledge graphs (KGs), which encode rich clinical…
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction
Yuqin He, Tengfei Ma, Chaoyi Li +6
To mitigate the potential adverse health effects of simultaneous multi-drug use, including unexpected side effects and interactions, accurately identifying and predicting drug-drug…
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery
Yifan Dai, Xuanbai Ren, Tengfei Ma +4
Accurate molecular property prediction (MPP) is a critical step in modern drug development. However, the scarcity of experimental validation data poses a significant challenge to A…
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
Tengfei Ma, Yujie Chen, Wen Tao +9
Molecular interaction prediction plays a crucial role in forecasting unknown interactions between molecules, such as drug-target interaction (DTI) and drug-drug interaction (DDI),…