Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data. - Seokhyun Chung; Raed Kontar (CoRR, 2019)

Weakly-supervised Multi-output Regression via Correlated Gaussian Processes. - Seokhyun Chung; Raed Al Kontar; Zhenke Wu (CoRR, 2020)

Intelligent traffic control for autonomous vehicle systems based on machine learning. - Sangmin Lee 006; Younghoon Kim; Hyungu Kahng; Soonkyo Lee; Seokhyun Chung; Taesu Cheong; Keeyong Shin; Jeehyuk Park; Seoung Bum Kim (Expert Syst. Appl., 2020)

A mathematical programming approach for integrated multiple linear regression subset selection and validation. - Seokhyun Chung; Young Woong Park; Taesu Cheong (Pattern Recognit., 2020)

The Internet of Federated Things (IoFT). - Raed Kontar; Naichen Shi; Xubo Yue; Seokhyun Chung; Eunshin Byon; Mosharaf Chowdhury; Jionghua Jin 001; Wissam Kontar; Neda Masoud; Maher Nouiehed; Chinedum Emmanuel Okwudire; Garvesh Raskutti; et al. (IEEE Access, 2021)

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. - Raed Kontar; Naichen Shi; Xubo Yue; Seokhyun Chung; Eunshin Byon; Mosharaf Chowdhury; Judy Jin; Wissam Kontar; Neda Masoud; Maher Nouiehed; Chinedum Emmanuel Okwudire; Garvesh Raskutti; et al. (CoRR, 2021)

Functional Principal Component Analysis for Extrapolating Multistream Longitudinal Data. - Seokhyun Chung; Raed Kontar (IEEE Trans. Reliab., 2021)

A Multi-Stage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing. - Seokhyun Chung; Cheng-Hao Chou; Xiaozhu Fang; Raed Al Kontar; Chinedum Emmanuel Okwudire (IEEE Trans Autom. Sci. Eng., 2022)

Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes. - Seokhyun Chung; Raed Al Kontar (CoRR, 2024)

Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes. - Jingyi Gao; Seokhyun Chung (CoRR, 2024)

Federated Multi-Output Gaussian Processes. - Seokhyun Chung; Raed Al Kontar (Technometrics, 2024)

Federated Condition Monitoring Signal Prediction With Improved Generalization. - Seokhyun Chung; Raed Al Kontar (IEEE Trans. Reliab., 2024)

Short-Term Load Forecasting with Attentive Neural Processes: Adaptivity and Uncertainty Estimation. - Ramin Soleimani; Seokhyun Chung; Dirk Pesch (SMARTCOMP, 2025)

Real-time adaptation for time-series signal prediction using label-aware neural processes. - Seokhyun Chung; Raed Al Kontar (Reliab. Eng. Syst. Saf., 2025)

Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning. - Cheoljoon Jeong; Xubo Yue; Seokhyun Chung (CoRR, 2025)

Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks. - Arafat Rahman; Sol Lim; Seokhyun Chung (CoRR, 2025)

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information. - Jingyi Gao; Sol Lim; Seokhyun Chung (CoRR, 2025)