LT-OCF: Learnable-Time ODE-based Collaborative Filtering. - Jeongwhan Choi 002; Jinsung Jeon; Noseong Park (CIKM, 2021)

LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. - Jinsung Jeon; Soyoung Kang; Minju Jo; Seunghyeon Cho; Noseong Park; Seonghoon Kim; Chiyoung Song (CIKM, 2021)

ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. - Sheo Yon Jhin; Minju Jo; Taeyong Kong; Jinsung Jeon; Noseong Park (KDD, 2021)

Large-Scale Data-Driven Airline Market Influence Maximization. - Duanshun Li; Jing Liu 024; Jinsung Jeon; Seoyoung Hong 001; Thai Le; Dongwon Lee 001; Noseong Park (KDD, 2021)

Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis. - Jaehoon Lee 002; Jihyeon Hyeong; Jinsung Jeon; Noseong Park; Jihoon Cho (NeurIPS, 2021)

Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. - Jinsung Jeon; Dongeun Lee 001; Seunghyun Hwang; Soyoung Kang; Noseong Park; Duanshun Li; Kookjin Lee; Jing Liu 024 (SDM, 2021)

Scalable Graph Synthesis with Adj and 1 - Adj. - Jinsung Jeon; Jing Liu 024; Jayoung Kim 002; Jaehoon Lee 002; Noseong Park; Jamie Jooyeon Lee; Özlem Uzuner; Sushil Jajodia (SDM, 2021)

OCT-GAN: Neural ODE-based Conditional Tabular GANs. - Jayoung Kim 002; Jinsung Jeon; Jaehoon Lee 002; Jihyeon Hyeong; Noseong Park (WWW, 2021)

LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising. - Jinsung Jeon; Soyoung Kang; Minju Jo; Seunghyeon Cho; Noseong Park; Seonghoon Kim; Chiyoung Song (CoRR, 2021)

LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. - Jaehoon Lee 002; Jinsung Jeon; Sheo Yon Jhin; Jihyeon Hyeong; Jayoung Kim 002; Minju Jo; Seungji Kook; Noseong Park (ICLR, 2022)

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks. - Jinsung Jeon; Jeonghak Kim; Haryong Song; Seunghyeon Cho; Noseong Park (NeurIPS, 2022)

Linear, or Non-Linear, That is the Question! - Taeyong Kong; Taeri Kim; Jinsung Jeon; Jeongwhan Choi 002; Yeon-Chang Lee; Noseong Park; Sang-Wook Kim (WSDM, 2022)

EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Sheo Yon Jhin; Jaehoon Lee 002; Minju Jo; Seungji Kook; Jinsung Jeon; Jihyeon Hyeong; Jayoung Kim 002; Noseong Park (WWW, 2022)

Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis. - Jaehoon Lee 002; Jihyeon Hyeong; Jinsung Jeon; Noseong Park; Jihoon Cho (CoRR, 2022)

SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations. - Jinsung Jeon; Noseong Park (CoRR, 2022)

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. - Seonkyu Lim; Jaehyeon Park; Seojin Kim; Hyowon Wi; Haksoo Lim; Jinsung Jeon; Jeongwhan Choi 002; Noseong Park (IEEE Big Data, 2023)

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. - Woojin Cho; Seunghyeon Cho; Hyundong Jin; Jinsung Jeon; Kookjin Lee; Sanghyun Hong 001; Dongeun Lee 001; Jonghyun Choi; Noseong Park (AAAI, 2024)

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. - Jinsung Jeon; Hyundong Jin; Jonghyun Choi; Sanghyun Hong 001; Dongeun Lee 001; Kookjin Lee; Noseong Park (ICLR, 2024)

Late Breaking Results: A Geometric Diffusion Model for Macro Placement Generation. - Jongho Yoon; Jinsung Jeon; Seokhyeong Kang (DAC, 2025)

Generating Long Semantic IDs in Parallel for Recommendation. - Yupeng Hou; Jiacheng Li 003; Ashley Shin; Jinsung Jeon; Abhishek Santhanam; Wei Shao; Kaveh Hassani; Ning Yao; Julian J. McAuley (KDD (2), 2025)

Possibility for Proactive Anomaly Detection. - Jinsung Jeon; Jaehyeon Park; Sewon Park 004; Jeongwhan Choi 002; Minjung Kim; Noseong Park (CoRR, 2025)