← Search

Ding Xue

2 accepted papers

2023

DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations

AAAI 2023technical

AI-aided drug discovery (AIDD) is gaining popularity due to its potential to make the search for new pharmaceuticals faster, less expensive, and more effective. Despite its extensive use in numerous fields (e.g., ADMET prediction, virtual screening), little research has been conducted on the out-of-…

Cited by 122SourcePDFScholar
2021

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery

NeurIPS 2021poster

More recently, there has been a surge of interest in employing machine learning approaches to expedite the drug discovery process where virtual screening for hit discovery and ADMET prediction for lead optimization play essential roles. One of the main obstacles to the wide success of machine learni…

Cited by 16SourcePDFScholar