4 papers
EGRL: Edge generation-guided relation-aware learning for RNA-protein interaction prediction
Danyu Li, Ling Zhou, Rubing Huang +3
RNA-Protein Interactions (RPIs) are critical for regulating cellular functions. While traditional wet-lab experiments for RPI detection are costly and time-consuming, Deep Learning…
Short-term electricity load forecasting with multi-frequency reconstruction diffusion
Qi Dong, Rubing Huang, Ling Zhou +3
Diffusion models have emerged as a powerful method in various applications. However, their application to Short-Term Electricity Load Forecasting (STELF) -- a typical scenario in e…
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
Qi Dong, Rubing Huang, Chenhui Cui +4
Short-Term Electricity-Load Forecasting (STELF) refers to the prediction of the immediate demand (in the next few hours to several days) for the power system. Various external fact…
Ribonucleic-Acid Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
Danyu Li, Rubing Huang, Chenhui Cui +4
The interaction between Ribonucleic Acids (RNAs) and proteins, also called RNA Protein Interaction (RPI), governs biological processes, including gene regulation and disease pathog…