Jong-Hyeon Jeong

According to our database, Jong-Hyeon Jeong authored at least 6 papers between 2010 and 2022.

Collaborative distances:

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

2022

Deep learning for quantile regression under right censoring: DeepQuantreg.

Yichen Jia, Jong-Hyeon Jeong

Comput. Stat. Data Anal., 2022

Censored Quantile Regression Neural Networks.

Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu

CoRR, 2022

DeepCENT: Prediction of Censored Event Time via Deep Learning.

Jong-Hyeon Jeong, Yichen Jia

CoRR, 2022

Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis.

Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Deep Learning for Quantile Regression: DeepQuantreg.

Yichen Jia, Jong-Hyeon Jeong

CoRR, 2020

2010

Comparison of various statistical methods for detecting disease outbreaks.

Byeong Yeob Choi, Ho Kim, Un Yeong Go, Jong-Hyeon Jeong, Jae Won Lee

Comput. Stat., 2010