YoungJae Park
Ph.D. Candidate
Gwangju Institute of Science and Technology (GIST)
youngjae.park [at] gm.gist.ac.kr
CV | Google Scholar | LinkedIn
About me
I am a Ph.D. student advised by Prof. Hae-Gon Jeon. I obtained my B.S. from Konkuk University (2020). I have been fortunate to collaborate with SI Analytics (2023, 2024).
My research interests are focused on developing advanced methodologies in machine learning, specifically for trajectory prediction, improving domain adaptation techniques in computer vision, and applying artificial intelligence to promote social good through weather forecasting and crime prediction.
Ultimately, my long-term goal is to address and solve various social issues using artificial intelligence.
Publications
Data-driven Precipitation Nowcasting Using Satellite Imagery Oral
Young-Jae Park, Doyi Kim, Minseok Seo, Hae-Gon Jeon and Yeji Choi
The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Feb 2025
[Paper] [Source code]
What Makes Deviant Places?
Jin-Hwi Park*, Young-Jae Park*, Ilyung Cheong, Junoh Lee, Young Eun Huh and Hae-Gon Jeon (*equally contributed)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Nov 2024 [Impact Factor: 20.8]
[Paper]
SingularTrajectory: Universal Trajectory Predictor using Diffusion Model
Inhwan Bae, Young-Jae Park and Hae-Gon Jeon
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data Spotlight
Young-Jae Park*, Minseok Seo*, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon and Yeji Choi (*equally contributed)
The Twelfth International Conference on Learning Representations (ICLR), May 2024
- Director's Excellence Award, Institute for Information & Communication Technology Planning & Evaluation (IITP)
High-fidelity 3D Human Digitization from Single 2K Resolution Images Highlight
Sang-Hun Han, Min-Gyu Park, Ju Hong Yoon, Ju-Mi Kang, Young-Jae Park and Hae-Gon Jeon
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023
- Silver Prize, 29th HumanTech Paper Award, Samsung Electronics Co., Ltd.
- Qualcomm Innovation Fellowship Korea 2023
DevianceNet: Learning to Predict Deviance from A Large-scale Geo-tagged Dataset
Jin-Hwi Park*, Young-Jae Park*, Junoh Lee and Hae-Gon Jeon (*equally contributed)
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Feb 2022
A Deep Learning-based Time Series Model with Missing Value Handling Techniques to Predict Various Types of Liquid Cargo Traffic
Sunghoon Lim, SunJun Kim, Young-Jae Park and Nahyun Kwon
Expert Systems with Applications, Dec 2021 [Impact Factor: 8.665]
Awards & Honors
Director's Excellence Award, Institute for Information & Communication Technology Planning & Evaluation (IITP), Aug 2024
International Computer Vision Summer School (ICVSS 2024), Jul 2024
1st place, GeoPlaces Challenge, ICCV workshop on Robust Computer vision Across Geographies, Oct.2023
2nd place, GeoImnet Challenge, ICCV workshop on Robust Computer vision Across Geographies, Oct.2023
Silver prize, 29th HumanTech Paper Award, Samsung Electronics Co., Ltd., Feb.2023
KIIE 15th College Project Competition, Silver Prize, Korea Institute of Industrial Engineers, Nov.2019
KSIE 16th College Project Competition: Excellence Prize, Society of Korea Industrial and Systems Engineering, May.2019