Jae Hyeon Lee

According to our database, Jae Hyeon Lee authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

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