Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy. - Yunsie Chung; Florence H. Vermeire; Haoyang Wu; Pierre J. Walker; Michael H. Abraham; William H. Green Jr. (J. Chem. Inf. Model., 2022)

RMG Database for Chemical Property Prediction. - Matthew S. Johnson; Xiaorui Dong; Alon Grinberg Dana; Yunsie Chung; David Farina; Ryan J. Gillis; Mengjie Liu; Nathan W. Yee; Katrin Blondal; Emily J. Mazeau; Colin A. Grambow; A. Mark Payne; et al. (J. Chem. Inf. Model., 2022)

Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning. - Sayandeep Biswas; Yunsie Chung; Josephine Ramirez; Haoyang Wu; William H. Green Jr. (J. Chem. Inf. Model., 2023)

QComp: A QSAR-Based Data Completion Framework for Drug Discovery. - Bingjia Yang; Yunsie Chung; Archer Y. Yang; Bo Yuan; Xiang Yu (CoRR, 2024)

Denoising Drug Discovery Data for Improved Absorption, Distribution, Metabolism, Excretion, and Toxicity Property Prediction. - Matthew Adrian; Yunsie Chung; Alan C. Cheng (J. Chem. Inf. Model., 2024)

Chemprop: A Machine Learning Package for Chemical Property Prediction. - Esther Heid; Kevin P. Greenman; Yunsie Chung; Shih-Cheng Li; David E. Graff; Florence H. Vermeire; Haoyang Wu; William H. Green Jr.; Charles McGill (J. Chem. Inf. Model., 2024)

Data Scaling and Generalization Insights for Medicinal Chemistry Deep Learning Models. - Jacky Chen; Yunsie Chung; Jonathan Tynan; Chen Cheng; Song Yang; Alan C. Cheng (J. Chem. Inf. Model., 2025)