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Shibo He

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Jul 2026

ProphDR: An Interpretable Deep Learning Model for Predicting Cancer Drug Response via Multi-Omics and Cross-Attention Mechanisms.

ProphDR is an interpretable deep learning framework that integrates multiomics data and drug structural information using a hierarchical attention mechanism, and generates biologically interpretable attention maps that highlight key pharmacophores and resistance-related genes consistent with established mechanisms in NSCLC and BRCA.

Yundian Zeng, Qing Ye, Jike Wang et al. · 0 citations
Open access Jul 2026

Optimal and Energy Efficient Imprecise Computation Task Deployment on Heterogeneous Multicore Platforms Combining DVFS and DPM

A novel QoS-aware task deployment methodology to enhance the Quality of Service (QoS) under resource limitations is introduced and results demonstrate that the proposed method achieves superior system performance compared to existing approaches.

Haotong Zhu, Lei Mo, T. Al-Hasan et al. · 0 citations