Jongheon Jeong

Ph.D. Student @ KAIST

I'm a Ph.D. student at ALIN Lab, advised by Prof. Jinwoo Shin at Korea Advanced Institute of Science and Technology (KAIST). I received a B.S. in Mathematics and Computer Science from KAIST in 2017.

My research goal is to understand why neural networks behave so differently from our brain, and ultimately, how our brain makes inferences. Specifically, I'm interested in discovering (if exist) simple priors that would close the gap between neural network and human perception. Many topics are related, particularly on robustness (or generalization) to distribution shifts, e.g., adversarial, out-of-distribution, and label shifts, just to name a few.

Contact: jongheonj [at] kaist [dot] ac [dot] kr / Curriculum Vitae

Publications

(C: Conference, W: Workshop, P: Preprint, *: Equal contribution)

  • Jongheon Jeong, Jinwoo Shin

  • International Conference on Learning Representations (ICLR) 2021

  • Jongheon Jeong, Jinwoo Shin

  • Neural Information Processing Systems (NeurIPS) 2020

  • ICML Workshop on Uncertainty & Robustness in Deep Learning (UDL) 2020

  • Qualcomm Innovation Fellowship Korea 2020

  • Jihoon Tack*, Sangwoo Mo*, Jongheon Jeong, Jinwoo Shin

  • Neural Information Processing Systems (NeurIPS) 2020

  • Qualcomm Innovation Fellowship Korea 2020

  • Jaehyung Kim*, Jongheon Jeong*, Jinwoo Shin

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

  • Jongheon Jeong, Jinwoo Shin

  • International Conference on Machine Learning (ICML) 2019

  • Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

  • Jungtaek Kim, Jongheon Jeong, Seungjin Choi

  • ICML Workshop on Automatic Machine Learning (AutoML) 2016

Services

  • Conference reviewer: ICLR 2020/2021, NeurIPS 2020/2021, AAAI 2021, ICML 2021

  • Journal reviewer: ACM ToMPECS

Work Experience

Honor & Award