Seungyeon Lee

According to our database, Seungyeon Lee authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Analysis of tabular data based on graph neural network using supervised contrastive loss.

Seungyeon Lee, Minyoung Park, Younggeun Ahn, Gyeong Bok Jung, Dohyun Kim

Neurocomputing, February, 2024

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification.

Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang

CoRR, 2024

2023

Stable clinical risk prediction against distribution shift in electronic health records.

Seungyeon Lee, Changchang Yin, Ping Zhang

Patterns, September, 2023

Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging.

Seungyeon Lee, Thai-Hoang Pham, Zhao Cheng, Ping Zhang

CoRR, 2023

Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder.

Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Deep learning based recommender system using cross convolutional filters.

Seungyeon Lee, Dohyun Kim

Inf. Sci., 2022

DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics.

Seungyeon Lee, Thai-Hoang Pham, Ping Zhang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Similarity based Deep Neural Networks.

Seungyeon Lee, Eunji Jo, Sangheum Hwang, Gyeong Bok Jung, Dohyun Kim

Int. J. Fuzzy Log. Intell. Syst., 2021

2020

Additive Ensemble Neural Networks.

Minyoung Park, Seungyeon Lee, Sangheum Hwang, Dohyun Kim

IEEE Access, 2020