Development of a Shared Indoor Smart Mobility Platform Based on Semi-Autonomous Driving. - Donghun Kang; Haeun Park; Yoonjoung Kwak; Byeongjin Kim; Seong-Beom Kim; Donghyun Kim; Seongjae Lee; Byounghern Kim; Hui Sung Lee (RO-MAN, 2020)

Search Space Reduction for Determination of Earthquake Source Parameters Using PCA and k-Means Clustering. - Seongjae Lee; Taehyoun Kim (J. Sensors, 2020)

ETA Prediction with Graph Neural Networks in Google Maps. - Austin Derrow-Pinion; Jennifer She; David Wong; Oliver Lange; Todd Hester; Luis Perez; Marc Nunkesser; Seongjae Lee; Xueying Guo; Brett Wiltshire; Peter W. Battaglia; Vishal Gupta; et al. (CIKM, 2021)

Impact of Deep Learning Optimizers and Hyperparameter Tuning on the Performance of Bearing Fault Diagnosis. - Seongjae Lee; Taehyoun Kim (IEEE Access, 2023)

Urban Noise Analysis and Emergency Detection System using Lightweight End-to-End Convolutional Neural Network. - Jinho Park; Taeyoung Yoo; Seongjae Lee; Taehyoun Kim (Int. J. Comput. Commun. Control, 2023)

Automated Arrhythmia Classification System: Proof-of-Concept With Lightweight Model on an Ultra-Edge Device. - Namho Kim; Seongjae Lee; Seungmin Kim; Sung-Min Park 001 (IEEE Access, 2024)

Shuffled ECA-Net for stress detection from multimodal wearable sensor data. - Namho Kim; Seongjae Lee; Junho Kim; So Yoon Choi; Sung-Min Park 001 (Comput. Biol. Medicine, 2024)

FRFconv-TDSNet: Lightweight, Noise-Robust Convolutional Neural Network Leveraging Full-Receptive-Field Convolution and Time-Domain Statistics for Intelligent Machine Fault Diagnosis. - Seongjae Lee; Taehyoun Kim (IEEE Trans. Instrum. Meas., 2024)

Hybrid Approach for Machine Anomaly Detection Across Diverse Operating Conditions: Combining Self-Supervised Learning With Vibration Statistics. - Seongjae Lee; Taehyoun Kim (IEEE Trans. Instrum. Meas., 2025)