Wei Ran Lin

This paper introduces FilmCPI, a sequence-based model that leverages data imbalance to improve compound-protein interaction prediction, showing better performance and generalization across datasets.

BatchDTA improves drug-target affinity estimation by reducing batch effects through implicit batch alignment, enhancing model performance across multiple datasets.