Seokhyun Chung

According to our database, Seokhyun Chung authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information.

Jingyi Gao, Sol Lim, Seokhyun Chung

CoRR, July, 2025

Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks.

Arafat Rahman, Sol Lim, Seokhyun Chung

CoRR, April, 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, March, 2025

Real-time adaptation for time-series signal prediction using label-aware neural processes.

Seokhyun Chung, Raed Al Kontar

Reliab. Eng. Syst. Saf., 2025

Short-Term Load Forecasting with Attentive Neural Processes: Adaptivity and Uncertainty Estimation.

Ramin Soleimani, Seokhyun Chung, Dirk Pesch

Proceedings of the IEEE International Conference on Smart Computing, 2025

2024

Federated Condition Monitoring Signal Prediction With Improved Generalization.

Seokhyun Chung, Raed Al Kontar

IEEE Trans. Reliab., March, 2024

Federated Multi-Output Gaussian Processes.

Seokhyun Chung, Raed Al Kontar

Technometrics, 2024

Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes.

Jingyi Gao, Seokhyun Chung

CoRR, 2024

Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes.

Seokhyun Chung, Raed Al Kontar

CoRR, 2024

2022

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

2021

Functional Principal Component Analysis for Extrapolating Multistream Longitudinal Data.

Seokhyun Chung, Raed Kontar

IEEE Trans. Reliab., 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, Romesh Saigal, Karandeep Singh, Zhisheng Ye

CoRR, 2021

The Internet of Federated Things (IoFT).

Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye

IEEE Access, 2021

2020

A mathematical programming approach for integrated multiple linear regression subset selection and validation.

Seokhyun Chung, Young Woong Park, Taesu Cheong

Pattern Recognit., 2020

Intelligent traffic control for autonomous vehicle systems based on machine learning.

Sangmin Lee, Younghoon Kim, Hyungu Kahng, Soonkyo Lee, Seokhyun Chung, Taesu Cheong, Keeyong Shin, Jeehyuk Park, Seoung Bum Kim

Expert Syst. Appl., 2020

Weakly-supervised Multi-output Regression via Correlated Gaussian Processes.

Seokhyun Chung, Raed Al Kontar, Zhenke Wu

CoRR, 2020

2019

Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data.

Seokhyun Chung, Raed Kontar

CoRR, 2019