[NEW] (May 15, 2025) I was accepted one paper, titled "Generating Long Semantic IDs in Parallel for Recommendation"  in  KDD 2025.

[NEW] (Mar 25, 2025) I was accepted one paper, titled "A Geometric Diffusion Model for Macro Placement Generation"  in  Late Breaking Results @ DAC 2025.

[NEW] (Mar 5, 2025) I was accepted one paper, titled "Possibility for Proactive Anomaly Detection"  in  I Can't Believe It's Not Better: Challenges in Applied Deep Learning Workshop @ ICLR 2025.

(Sep 3, 2024) I participated as a visiting scholar in Julian McAuley's Lab at UCSD! 

(June 7, 2024) I successfully completed my Ph.D thesis defense!

• Thesis: Generative Models Empowered by Continuous Models: Focusing on Generative Adversarial Networks with Neural Ordinary Differential Equations

(May 28, 2024) I was selected for the NRF fellowship program (Overseas Track)! 

(March 3, 2024) I was accepted one paper, titled "SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations"  in  Practical ML for Low Resource Settings Workshop @ ICLR 2024.

University of California San Diego, San Diego, California, USA (Sep. 2024 - Present) 

• Visiting Scholar

• Conducted research on improving data representation using LLMs 

Yonsei University, Seoul, Republic of Korea (Mar. 2020 - Aug. 2024) 

• Ph.D. in Artificial Intelligence

• Thesis: Generative Models Empowered by Continuous Models: Focusing on Generative Adversarial Networks with Neural Ordinary Differential Equations

• GPA: 4.34/4.50

Seoul National University of Science and Technology, Seoul, Republic of Korea (Mar. 2014 - Feb. 2020)

• B.S. in Industrial and Information Systems Engineering (minor. Computer Engineering)

• GPA : 3.94/4.5

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images

• Jinsung Jeon, Hyundong Jin, Sanghyun Hong, Jonghyun Choi, Dongeun Lee, Kookjin Lee, Noseong Park

• The International Conference on Learning Representations (ICLR 2024)

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks

• Jinsung Jeon, JEONGHAK KIM, Haryong Song, Seunghyeon Cho, Noseong Park

• 2022 Conference on Neural Information Processing Systems (NeurIPs 2022)

LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations

• Jaehoon Lee, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Kook Seungji, Noseong Park

• The International Conference on Learning Representations (ICLR 2021)

LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising

• Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song

• Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021)

Oct-gan: Neural ode-based conditional tabular gans

• Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park

• Proceedings of the Web Conference 2021 (WWW 2021)

SAS Korea, Seoul, Republic of Korea(Jan. 2019 - Feb. 2019)

• Intern in the 'Pre-Sales Support' department

• Using AML(Anti-Money Laundering) program for anomaly detection

Postdoctoral Fellowship Program (Overseas Track)

• National Research Foundation of Korea (2024)

Yonsei AI Workshop 

• "General Purpose Time Series Synthesis with Generative Adversarial Networks"

• Best research paper (Machine learning)

16th SAS Analysis Championship

• "Prediction of Traffic Accident Zone and Proposal for Transportation Safety"

• Honorable mention