Detecting voluntary gait intention of chronic stroke patients towards top-down gait rehabilitation using EEG. - Junhyuk Choi; Hyolim Kang; Sang Hun Chung; Yeonghun Kim; Ung Hee Lee; Jong Min Lee; Seung-Jong Kim; Min Ho Chun; Hyungmin Kim 001 (EMBC, 2016)

Wearable sensing and haptic feedback research platform for gait retraining. - Junkai Xu; Ung Hee Lee; Tian Bao; Yangjian Huang; Kathleen H. Sienko; Peter B. Shull (BSN, 2017)

Empirical Characterization of a High-performance Exterior-rotor Type Brushless DC Motor and Drive. - Ung Hee Lee; Chen-Wen Pan; Elliott J. Rouse (IROS, 2019)

Image Transformation and CNNs: A Strategy for Encoding Human Locomotor Intent for Autonomous Wearable Robots. - Ung Hee Lee; Justin Bi; Rishi Patel; David F. Fouhey; Elliott J. Rouse (IEEE Robotics Autom. Lett., 2020)

A Data Driven Approach for Predicting Preferred Ankle Stiffness of a Quasi-Passive Prosthesis. - Varun S. Shetty; Ung Hee Lee; Kimberly A. Ingraham; Elliott J. Rouse (IEEE Robotics Autom. Lett., 2022)

How to Model Brushless Electric Motors for the Design of Lightweight Robotic Systems. - Ung Hee Lee; Tor Shepherd; Sangbae Kim; Avik De; Hao Su 002; Robert D. Gregg; Luke M. Mooney; Elliott J. Rouse (CoRR, 2023)

User preference optimization for control of ankle exoskeletons using sample efficient active learning. - Ung Hee Lee; Varun S. Shetty; Patrick W. Franks; Jie Tan 001; Georgios Evangelopoulos; Sehoon Ha; Elliott J. Rouse (Sci. Robotics, 2023)

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation. - Yi-Hung Chiu; Ung Hee Lee; Changseob Song; Manaen Hu; Inseung Kang (ICORR, 2025)