Youhan Lee

According to our database, Youhan Lee authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning.

Youhan Lee, Hasun Yu, Jaemyung Lee, Jaehoon Kim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining.

MinJun Kim, Seungwoo Song, Youhan Lee, Haneol Jang, Kyungtae Lim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Solvent: A Framework for Protein Folding.

Jaemyung Lee, Kyeongtak Han, Jaehoon Kim, Hasun Yu, Youhan Lee

CoRR, 2023

ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language Models.

Youhan Lee, Hasun Yu

CoRR, 2023

2022

Deep learning models for predicting RNA degradation via dual crowdsourcing.

Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, King Yuen Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Rhiju Das

Nat. Mac. Intell., December, 2022

Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss.

Youhan Lee, Kyungtae Lim, Woonhyuk Baek, Byungseok Roh, Saehoon Kim

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Predictive models of RNA degradation through dual crowdsourcing.

Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, Anthony Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Eterna Participants, Rhiju Das

CoRR, 2021

2020

Reconstruction of Compton Edges in Plastic Gamma Spectra Using Deep Autoencoder.

Byoungil Jeon, Youhan Lee, Myungkook Moon, Jongyul Kim, Gyuseong Cho

Sensors, 2020

A community-powered search of machine learning strategy space to find NMR property prediction models.

Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants

CoRR, 2020

2016

Probing gas adsorption in MOFs using an efficient <i>ab initio</i> widom insertion Monte Carlo method.

Youhan Lee, Roberta Poloni, Jihan Kim

J. Comput. Chem., 2016