I am an assistant professor in the Department of Artificial Intelligence at Korea University, leading the Trustworthy AI Lab @ KU. Previously, I obtained a Ph.D. in Electrical Engineering from KAIST in 2023, where I was fortunate to work with Prof. Jinwoo Shin. I received my B.S. in Mathematics and Computer Science from KAIST in 2017. During my Ph.D. studies, I interned at Amazon Web Services (AWS) in 2021 (Seattle, WA) and 2022 (Bellevue, WA). I am a recipient of the Best Doctoral Dissertation Award from the KAIST College of Engineering in 2024, and the Qualcomm Innovation Fellowship Korea 2020 from two papers.
I am interested in broad areas of AI Safety: robustness against distribution shifts such as adversarial examples and long-tailed (rare) events; monitoring of novel or anomalous inputs; and alignment of model decisions with human values, to name a few. Ultimately, my research aims to discover (if exist) simple priors that close the gap between humans and machines, understanding why neural networks behave so differently from us and how we make such reliable yet efficient inferences.
Email: jonghj (at) korea dot ac dot kr
News
- Jul 2024: One paper has been accepted to ECCV 2024 as an oral presentation.
- Mar 2024: Trustworthy AI Lab @ KU has been launched.
- Feb 2024: I received the Best Doctoral Dissertation Award from the KAIST College of Engineering.
- Feb 2024: I will be joining Korea University as an assistant professor in March 2024.
- Jan 2024: One paper has been accepted to ICLR 2024.
- Sep 2023: Three papers have been accepted to NeurIPS 2023.
- Jun 2023: I successfully defended my Ph.D. dissertation!
Honors & Awards
- Feb 2024: Best Doctoral Dissertation Award, KAIST College of Engineering
- Oct 2023: Scholar Award, NeurIPS 2023
- Nov 2021: Finalist, Qualcomm Innovation Fellowship Korea 2021
- Nov 2021: Best Paper Award, Korean Artificial Intelligence Association 2021
- Feb 2021: Served as an expert reviewer for ICML 2021
- Dec 2020: 2 papers won Qualcomm Innovation Fellowship Korea 2020
- Oct 2020: Top reviewer award (top 10%), NeurIPS 2020
- Jun 2019: Travel award, ICML 2019
- May 2016: 3rd place in the final phase of Automatic Machine Learning Challenge (AutoML)
Services
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Conference reviewers
- Neural Information Processing Systems (NeurIPS)
- International Conference on Learning Representations (ICLR)
- International Conference on Machine Learning (ICML)
- AAAI Conference on Artificial Intelligence (AAAI)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- European Conference on Computer Vision (ECCV)
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Workshop reviewers
- ICML 2020 Workshop on Uncertainty & Robustness in Deep Learning (UDL 2020)
- CVPR 2023 Workshop on Visual Anomaly and Novelty Detection (VAND 2023)
- NeurIPS 2023 Workshop on Distribution Shifts (DistShift 2023)
- NeurIPS 2024 Workshop on Towards Safe & Trustworthy Agents (SATA 2024)
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Journal reviewers
- International Journal of Computer Vision (IJCV)
- Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- Transactions on Machine Learning Research (TMLR)
- ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ACM ToMPECS)