Now I work for LG AI Research (Leader: Moontae Lee) as Research Scientist. Also, I am a Master’s student advised by Noseong Park at the Dep. of Computer Science in Yonsei University. I took my Bachelor’s degree in applied statistics and computer science in Yonsei University. My undergraduate major GPA is 4.28/4.3 (4.2/4.3 for the overall GPA). I want to give new solutions to a variety of social problems with AI. My research interest is mainly in solving Time Series Tasks (Time Series Forecasting, Anomaly Detection, and Time Series Generation) with AI. Furthermore, based on existing methods for time series, I try to find more general time series models, such as differential-equation-based models and foundation models.
Major Achievement
GPA: The undergraduate major GPA is 4.28/4.3 (4.2/4.3 for overall GPA)
Publication: 8 papers (See 'Publications' section for details)
Awards: Excellent award in data analysis task(2021, Korea Land and Housing Corporation (LH)), 2 excellent paper awards(2022, Yonsei AI workshop)
Scholarships:
20000$ for Bachelor's degree(Yonsei University, Guwon Foundation, and Song-gok Cultural Scholarship Foundation)
80000$ for Master's degree(SBS cultural foundation)
Publication
[2023]
HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts [arxiv]
Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong and Noseong Park
2023, Neurips 2023 Workshop (DistShift)
Precursor-of-Anomaly Detection for Irregular Time Series [arxiv]
Sheo Yon Jhin, Jaehoon Lee, Noseong Park
2023, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
MadSGM: Multivariate Anomaly Detection with Score-based Generative Modelsular Time Series [arxiv]
Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park
2023, Conference on Information and Knowledge Management (CIKM)
[2022]
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting [arxiv][pdf]
Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim and Noseong Park
2022, World Wide Web Conference(WWW)
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations [openreview][arxiv][github]
Jaehoon Lee, Jinsung Jeon, Sheo yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Kook Seungji, Noseong Park
2022, International Conference on Learning Representations(ICLR)
A high average review score of 7.5, ranked 116/3328
[2021]
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis [openreview][arxiv][neurips proceedings][github]
Jaehoon Lee*, Jihyeon Hyeong*, Jinsung Jeon, Noseong Park, Jihoon Cho
2021, Advances in Neural Information Processing Systems(NeurIPS)
Supported by Samsung SDS
OCT-GAN: Neural ODE-based Conditional Tabular GANs [arxiv]
Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park
2021, World Wide Web Conference(WWW)
Scalable Graph Synthesis with Adj and 1 — Adj [pdf]
Jinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, Ozlem Uzuner, and Sushil Jajodia
2021, SIAM International Conference on Data Mining (SDM)