Youhan Lee

Biochemistry, Genetics and Molecular Biology · Life Sciences

8h-index1.1kcitations20works1.82yr avg
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Research Topics

RNA and protein synthesis mechanisms(4), Multimodal Machine Learning Applications(4), Protein Structure and Dynamics(3), Gas Sensing Nanomaterials and Sensors(3), Viral Infections and Immunology Research(3)

Publications20 total

SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
ArXiv.org·2026Open Access
SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
arXiv (Cornell University)·2026Open Access
Accurate antibody loop structure prediction enables zero-shot design of target-specific antibodies
2024· 4 citedOpen Access
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 5 citedOpen Access
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
arXiv (Cornell University)·2024Open Access
DNDesign: Enhancing Physical Understanding of Protein Inverse Folding Model via Denoising
2023· 1 citedOpen Access
ShapeProt: Top-down Protein Design with 3D Protein Shape Generative Model
2023· 1 citedOpen Access
Solvent: A Framework for Protein Folding
arXiv (Cornell University)·2023· 1 citedOpen Access
ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language Models
arXiv (Cornell University)·2023· 1 citedOpen Access
Deep learning models for predicting RNA degradation via dual crowdsourcing
Nature Machine Intelligence·2022· 45 citedOpen Access
Deep learning models for predicting RNA degradation via dual crowdsourcing
arXiv (Cornell University)·2021Open Access
Deep learning models for predicting RNA degradation via dual crowdsourcing.
PubMed·2021· 4 citedOpen Access
A community-powered search of machine learning strategy space to find NMR property prediction models
PLoS ONE·2021· 23 citedOpen Access
Reconstruction of Compton Edges in Plastic Gamma Spectra Using Deep Autoencoder
Sensors·2020· 9 citedOpen Access
Finding Hidden Signals in Chemical Sensors Using Deep Learning
Analytical Chemistry·2020· 73 cited
Probing gas adsorption in MOFs using an efficient <i>ab initio</i> widom insertion Monte Carlo method
Journal of Computational Chemistry·2016· 16 cited
Superior Chemical Sensing Performance of Black Phosphorus: Comparison with MoS<sub>2</sub> and Graphene
Advanced Materials·2016· 416 cited
Enhancing stability of octahedral PtNi nanoparticles for oxygen reduction reaction by halide treatment
Journal of Power Sources·2016· 43 cited
効率的なab initio widom挿入モンテカルロ法を用いたMOFにおけるガス吸着の探索
Journal of Computational Chemistry·2016
Highly Enhanced Gas Adsorption Properties in Vertically Aligned MoS<sub>2</sub> Layers
ACS Nano·2015· 499 cited

Frequent Co-authors

Jihan Kim(6), Walter Reade(4), Soo‐Yeon Cho(3), Hee‐Tae Jung(3), Hannah K. Wayment-Steele(3), Wipapat Kladwang(3), Andrew M. Watkins(3), Do Soon Kim(3), Bojan Tunguz(3), Jonathan Romano(3), Roger Wellington-Oguri(3), John J. Nicol(3), Kazuki Onodera(3), Kazuki Fujikawa(3), Hanfei Mao(3), Gilles Vandewiele(3), Michele Tinti(3), Bram Steenwinckel(3), Shujun He(3), Fatih Öztürk(3)