Jae Hyeon Lee

According to our database, Jae Hyeon Lee authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins.

Frédéric A. Dreyer, Jan Ludwiczak, Karolis Martinkus, Brennan Abanades, Robert G. Alberstein, Pan Kessel, Pranav Rao, Jae Hyeon Lee, Richard Bonneau, Andrew M. Watkins, Franziska Seeger

CoRR, July, 2025

deepNGS navigator: exploring antibody NGS datasets using deep contrastive learning.

Homa Mohammadi Peyhani, Edith Lee, Richard Bonneau, Vladimir Gligorijevic, Jae Hyeon Lee

Bioinform., 2025

2024

Blind Biological Sequence Denoising with Self-Supervised Set Learning.

Nathan H. Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho

Trans. Mach. Learn. Res., 2024

2023

Surface ID: a geometry-aware system for protein molecular surface comparison.

Saleh Riahi, Jae Hyeon Lee, Taylor Sorenson, Shuai Wei, Sven Jager, Reza Olfati-Saber, Yanfeng Zhou, Anna Park, Maria Wendt, Hervé Minoux, Yu Qiu

Bioinform., April, 2023

MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty.

Michael Maser, Natasa Tagasovska, Jae Hyeon Lee, Andrew M. Watkins

CoRR, 2023

Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature Learning.

Jae Hyeon Lee, Chang-Hwan Son

CoRR, 2023

SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers.

Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew M. Watkins

CoRR, 2023

2022

Multi-segment preserving sampling for deep manifold sampler.

Daniel Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho

CoRR, 2022