Author

Yu-Hai Zhao

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Sep 2026

GLIMP: An Integrated Graph Neural Network-Large Language Model for Promoter Recognition.

GLIMP is proposed, a novel promoter classification framework that integrates a large-scale genomic language model with Graph Neural Networks (GNNs) and achieves state-of-the-art performance, substantially improving recognition robustness and generalization across diverse promoter types.

Hai-Tao Ma, He Jia, Chen-Ning Yuan et al. · IEEE transactions on computa... · 0 citations

#artificial intelligence Preprint Sep 2026

Chemical and geometric representation fidelity improves drug--target affinity prediction

ReGeoDTA is developed, a representation-preserving framework that maintains affinity-relevant chemical heterogeneity in molecular representations and continuous geometric relationships in protein structures that identifies representation fidelity as an upstream design principle for accurate and generalizable drug--targ...

Yi-Xiao Li, Yi-Ning Qian, Ye-Fan Chen et al. · 0 citations