Additive Ensemble Neural Networks. - Minyoung Park; Seungyeon Lee 002; Sangheum Hwang; Dohyun Kim 005 (IEEE Access, 2020)

Similarity based Deep Neural Networks. - Seungyeon Lee 002; Eunji Jo; Sangheum Hwang; Gyeong Bok Jung; Dohyun Kim 005 (Int. J. Fuzzy Log. Intell. Syst., 2021)

DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics. - Seungyeon Lee 002; Thai-Hoang Pham; Ping Zhang 016 (ICDM, 2022)

Deep learning based recommender system using cross convolutional filters. - Seungyeon Lee 002; Dohyun Kim 005 (Inf. Sci., 2022)

Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. - Seungyeon Lee 002; Ruoqi Liu; Wenyu Song; Ping Zhang 016 (ICDM, 2023)

Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging. - Seungyeon Lee 002; Thai-Hoang Pham; Zhao Cheng; Ping Zhang 016 (CoRR, 2023)

Stable clinical risk prediction against distribution shift in electronic health records. - Seungyeon Lee 002; Changchang Yin; Ping Zhang 016 (Patterns, 2023)

Analysis of tabular data based on graph neural network using supervised contrastive loss. - Seungyeon Lee 002; Minyoung Park; Younggeun Ahn; Gyeong Bok Jung; Dohyun Kim 005 (Neurocomputing, 2024)

A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data. - Seungyeon Lee 002; Ruoqi Liu; Feixiong Cheng; Ping Zhang 016 (KDD (1), 2025)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification. - Seungyeon Lee 002; Ruoqi Liu; Wenyu Song; Lang Li 001; Ping Zhang 016 (ACM Trans. Intell. Syst. Technol., 2025)