Bivariate Lifetime Model for Organic Light-Emitting Diodes. - Dae Whan Kim; Hyunseok Oh; Byeng Dong Youn; Dongil Kwon (IEEE Trans. Ind. Electron., 2017)

Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis. - Hyunseok Oh; Joon Ha Jung; Byung Chul Jeon; Byeng D. Youn (IEEE Trans. Ind. Electron., 2018)

A Bayesian approach for a damage growth model using sporadically measured and heterogeneous on-site data from a steam turbine. - Woosung Choi; Byeng D. Youn; Hyunseok Oh; Nam H. Kim (Reliab. Eng. Syst. Saf., 2019)

Model-Based Fault Detection Method for Coil Burnout in Solenoid Valves Subjected to Dynamic Thermal Loading. - Soo-Ho Jo; Boseong Seo; Hyunseok Oh; Byeng D. Youn; Dongki Lee (IEEE Access, 2020)

Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. - Junseok Park; Kwanyoung Park; Hyunseok Oh; Ganghun Lee; Min Su Lee; Youngki Lee 001; Byoung-Tak Zhang (ICMI, 2021)

Learning task-agnostic representation via toddler-inspired learning. - Kwanyoung Park; Junseok Park; Hyunseok Oh; Byoung-Tak Zhang; Youngki Lee 001 (CoRR, 2021)

VECA : A Toolkit for Building Virtual Environments to Train and Test Human-like Agents. - Kwanyoung Park; Hyunseok Oh; Youngki Lee 001 (CoRR, 2021)

VECA: A New Benchmark and Toolkit for General Cognitive Development. - Kwanyoung Park; Hyunseok Oh; Youngki Lee 001 (AAAI, 2022)

On the Importance of Critical Period in Multi-stage Reinforcement Learning. - Junseok Park; Inwoo Hwang; Min Whoo Lee; Hyunseok Oh; Min Su Lee; Youngki Lee 001; Byoung-Tak Zhang (CoRR, 2022)

A video-based SlowFastMTB model for detection of small amounts of smoke from incipient forest fires. - Minseok Choi; Chungeon Kim; Hyunseok Oh (J. Comput. Des. Eng., 2022)

Papez: Resource-Efficient Speech Separation with Auditory Working Memory. - Hyunseok Oh; Juheon Yi; Youngki Lee 001 (ICASSP, 2023)

Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network. - Hyunseok Oh; Youngki Lee 001 (ICML, 2024)

A Simple but Effective Way to Handle Rotating Machine Fault Diagnosis With Imbalanced-Class Data: Repetitive Learning Using an Advanced Domain Adaptation Model. - Donghwi Yoo; Minseok Choi; Hyunseok Oh; Bongtae Han (IEEE Access, 2024)

Beyond designer's knowledge: Generating materials design hypotheses via large language models. - Quanliang Liu; Maciej P. Polak; So Yeon Kim; MD Al Amin Shuvo; Hrishikesh Shridhar Deodhar; Jeongsoo Han; Dane Morgan; Hyunseok Oh (CoRR, 2024)

Frequency-enhanced network with self-supervised learning for anomaly detection of hydraulic piston pumps. - Minseok Choi; Changsung Lee; Sechang Park; Mikyung Hwang; Hyunseok Oh (Expert Syst. Appl., 2025)

A hybrid fault diagnostic approach using operational transfer path analysis and denoising deep learning with remote sensors: Application to electric vehicles. - Jeongmin Oh; Donghwi Yoo; Chungeon Kim; Hyunseok Oh; Yonghyun Ryu; Kyung-Woo Lee; Dae-Un Sung (Expert Syst. Appl., 2025)

Frequency-enhanced neural networks with a hybrid spall-size estimator for bearing fault diagnosis. - Mikyung Hwang; Minseok Choi; Hyunseok Oh (J. Comput. Des. Eng., 2025)

VoiceSeeker: Energy-Efficient and Accurate Audio-Visual Target Speaker Separation on Mobile Devices. - Juheon Yi; Kyungjin Lee; Hyunseok Oh; Youngki Lee 001 (IEEE Pervasive Comput., 2025)