1 citations · 2 across the 4 of their papers we have counts for
4 papers
Multi-Granular Rationale-Guided Molecular LLM for Property Prediction
Junwoo Park, Minyoung Shin, Cheol Soon Lee +1
Large language models (LLMs) are widely applied across chemical tasks, such as molecular property prediction, which underpins drug discovery. Molecular LLMs represent a molecule th…
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals
Yooseok Lim, Sujee Lee
Sensing technology has significantly advanced in automating systems that reflect human movement, particularly in robotics and healthcare, where it is used to automatically detect t…
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
Yooseok Lim, Inbeom Park, Sujee Lee
Appropriate medication dosages in the intensive care unit (ICU) are critical for patient survival. Heparin, used to treat thrombosis and inhibit blood clotting in the ICU, requires…
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
Yooseok Lim, Sujee Lee
Accurate medication dosing holds an important position in the overall patient therapeutic process. Therefore, much research has been conducted to develop optimal administration str…