27 citations · 32 across the 8 of their papers we have counts for
8 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…
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor
Li Wang, Xiangzheng Fu, Jiahao Yang +5
Deep learning holds a big promise for optimizing existing peptides with more desirable properties, a critical step towards accelerating new drug discovery. Despite the recent emerg…
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
Peng Zhou, Jianmin Wang, Chunyan Li +11
While various models and computational tools have been proposed for structure and property analysis of molecules, generating molecules that conform to all desired structures and pr…
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),…
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization
Takato Kinoshita, Naoki Masuyama, Yiping Liu +2
Decomposition-based multiobjective evolutionary algorithms (MOEAs) with clustering-based reference vector adaptation show good optimization performance for many-objective optimizat…