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Structure-Aware Contrastive Learning with Fine-Grained Binding Representations for Drug Discovery
Jing Lan, Hexiao Ding, Hongzhao Chen +8
Accurate identification of drug-target interactions (DTI) remains a central challenge in computational pharmacology, where sequence-based methods offer scalability. This work intro…
Contrastive Multi-Task Learning with Solvent-Aware Augmentation for Drug Discovery
Jing Lan, Hexiao Ding, Hongzhao Chen +7
Accurate prediction of protein-ligand interactions is essential for computer-aided drug discovery. However, existing methods often fail to capture solvent-dependent conformational…
REACT-KD: Region-Aware Cross-modal Topological Knowledge Distillation for Interpretable Medical Image Classification
Hongzhao Chen, Hexiao Ding, Yufeng Jiang +8
Reliable and interpretable tumor classification from clinical imaging remains a core challenge. The main difficulties arise from heterogeneous modality quality, limited annotations…
Decoding the Alzheimer's Continuum: Interpretable Multi-Gate Routing for Diagnosis and Transition Prediction
Yufeng Jiang, Hexiao Ding, Hongzhao Chen +8
Alzheimer's disease (AD) manifests as a continuous progression from normal cognition (NC) through mild cognitive impairment (MCI) to dementia. However, most deep learning approache…