Area of research
Inorganic Chemistry · Mechanical Engineering
Research interest
Research focused on Disease and Artificial intelligence, with related work in Autoencoder, Test set, Representation (politics). Notable publications include 'SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction', 'Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network', and 'Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework With Multi-Agent Learning'.