Jeongwhan Choi

@inproceedings{choi2026are,
  title     = {Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs},
  author    = {Choi, Jeongwhan and Park, Seungjun and Park, Sumin and Cho, Sung-Bae and Park, Noseong},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2026},
  url       = {https://arxiv.org/abs/2511.13010}
}

@inproceedings{lim2025fraudcengcl,
  title     = {FraudCenGCL: Role-Aware Graph Contrastive Learning for Low-Homophily Fraud Detection},
  author    = {Lim, Seonkyu and Choi, Jeongwhan and Lee, Jaehoon},
  booktitle = {IEEE International Conference on Big Data},
  year      = {2025}
}

@inproceedings{shin2025tvrec,
  title     = {TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation},
  author    = {Shin, Yehjin and Choi, Jeongwhan and Kim, Seojin and Park, Noseong},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2025},
  url       = {https://arxiv.org/abs/2510.25259}
}

@inproceedings{wi2025learning,
  title     = {Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain},
  author    = {Wi, Hyowon and Choi, Jeongwhan and Park, Noseong},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2025}
}

@inproceedings{yu2025piorf,
  title     = {PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks},
  author    = {Yu, Youn-Yeol and Choi, Jeongwhan and Park, Jaehyeon and Lee, Kookjin and Park, Noseong},
  booktitle = {International Conference on Learning Representations},
  year      = {2025}
}

@inproceedings{lim2025fraugbigcomp,
  title     = {FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features},
  author    = {Lim, Seonkyu and Choi, Jeongwhan and Lee, Jaehoon and Park, Noseong},
  booktitle={2025 IEEE International Conference on Big Data and Smart Computing (BigComp)}, 
  year      = {2025}
}

@inproceedings{lee2025scone,
  title     = {SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation},
  author    = {Lee, Chaejeong and Choi, Jeongwhan and Wi, Hyowon and Cho, Sung-Bae and Park, Noseong},
  booktitle = {ACM WSDM},
  year      = {2025}
}

@inproceedings{choi2024graph,
  title     = {Graph Convolutions Enrich the Self-Attention in Transformers!},
  author    = {Choi, Jeongwhan and Wi, Hyowon and Kim, Jayoung and Shin, Yehjin and Lee, Kookjin and Trask, Nathaniel and Park, Noseong},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2024},
  url       = {https://arxiv.org/abs/2312.04234}
}

@inproceedings{lim2024bridging,
  title     = {Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP},
  author    = {Lim, Seonkyu and Choi, Jeongwhan and Park, Noseong and Yoon, Sang-Ha and Kang, Shinhyuck and Kim, Young-Min and Kang, Hyunjoong},
  booktitle = {Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},
  year      = {2024},
  url       = {https://arxiv.org/abs/2409.08732}
}

@inproceedings{kim2024polynomial,
  title     = {Polynomial-based Self-Attention for Table Representation Learning},
  author    = {Kim, Jayoung and Shin, Yehjin and Choi, Jeongwhan and Wi, Hyowon and Park, Noseong},
  booktitle = {International Conference on Machine Learning},
  year      = {2024},
  url       = {https://arxiv.org/abs/2312.07753}
}

@inproceedings{choi2024panda,
  title     = {PANDA: Expanded Width-Aware Message Passing Beyond Rewiring},
  author    = {Choi, Jeongwhan and Park, Sumin and Wi, Hyowon and Cho, Sung-Bae and Park, Noseong},
  booktitle = {International Conference on Machine Learning},
  year      = {2024},
  url       = {https://arxiv.org/abs/2406.03671}
}

@inproceedings{hong2024svd,
  title     = {SVD-AE: Simple Autoencoders for Collaborative Filtering},
  author    = {Hong, Seoyoung and Choi, Jeongwhan and Lee, Yeon-Chang and Kumar, Srijan and Park, Noseong},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2024},
  url       = {https://arxiv.org/abs/2405.04746}
}

@inproceedings{yu2024learning,
  title     = {Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer},
  author    = {Yu, Youn-Yeol and Choi, Jeongwhan and Cho, Woojin and Lee, Kookjin and Kim, Nayong and Chang, Kiseok and Woo, Chang-Seung and Kim, Ilho and Lee, Seok-Woo and Yang, Joon-Young and Yoon, Sooyoung and Park, Noseong},
  booktitle = {International Conference on Learning Representations},
  year      = {2024},
  url       = {https://arxiv.org/abs/2312.12467}
}

@inproceedings{shin2024an,
  title     = {An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention},
  author    = {Shin, Yehjin and Choi, Jeongwhan and Wi, Hyowon and Park, Noseong},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  url       = {https://arxiv.org/abs/2312.10325}
}

@inproceedings{lim2023longterm,
  title     = {Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations},
  author    = {Lim, Seonkyu and Park, Jaehyeon and Kim, Seojin and Wi, Hyowon and Lim, Haksoo and Jeon, Jinsung and Choi, Jeongwhan and Park, Noseong},
  booktitle = {IEEE International Conference on Big Data},
  year      = {2023}
}

@inproceedings{choi2023qosaware,
  title     = {QoS-Aware Graph Contrastive Learning for Web Service Recommendation},
  author    = {Choi, Jeongwhan and Ryu, Duksan},
  booktitle = {Asia-Pacific Software Engineering Conference},
  year      = {2023},
  url       = {https://arxiv.org/abs/2401.03162}
}

@inproceedings{choi2023gread,
  title     = {GREAD: Graph Reaction-Diffusion Networks},
  author    = {Choi, Jeongwhan and Hong, Seoyoung and Park, Noseong and Cho, Sung-Bae},
  booktitle = {International Conference on Machine Learning},
  year      = {2023},
  url       = {https://arxiv.org/abs/2211.14208}
}

@inproceedings{choi2023blurring,
  title     = {Blurring-Sharpening Process Models for Collaborative Filtering},
  author    = {Choi, Jeongwhan and Hong, Seoyoung and Park, Noseong and Cho, Sung-Bae},
  booktitle = {ACM SIGIR},
  year      = {2023},
  url       = {https://arxiv.org/abs/2211.09324}
}

@inproceedings{choi2023graphconvolution,
  title     = {Graph Convolution-based Collaborative Filtering for Web Service QoS Ranking},
  author    = {Choi, Jeongwhan and Ryu, Duksan},
  booktitle = {Korea Conference on Software Engineering},
  year      = {2023}
}

@inproceedings{hong2022prediction,
  title     = {Prediction-based One-shot Dynamic Parking Pricing},
  author    = {Hong, Seoyoung and Shin, Heejoo and Choi, Jeongwhan and Park, Noseong},
  booktitle = {Proceedings of the 31st ACM International Conference on Information and Knowledge Management},
  year      = {2022},
  url       = {https://arxiv.org/abs/2208.14231}
}

@inproceedings{choi2022aaaincde,
  title     = {Graph Neural Controlled Differential Equations for Traffic Forecasting},
  author    = {Choi, Jeongwhan and Choi, Hwangyong and Hwang, Jeehyun and Park, Noseong},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year      = {2022},
  url       = {https://ojs.aaai.org/index.php/AAAI/article/view/20233},
  note      = {arXiv:2112.03558}
}

@inproceedings{kong2022linear,
  title     = {Linear, or Non-Linear, That is the Question!},
  author    = {Kong, Taeyong and Kim, Taeri and Jeon, Jinsung and Choi, Jeongwhan and Lee, Yeon-Chang and Park, Noseong and Kim, Sang-Wook},
  booktitle = {Proceedings of the ACM International Conference on Web Search and Data Mining},
  year      = {2022},
  url       = {https://arxiv.org/abs/2111.07265}
}

@inproceedings{choi2021self,
  title={소프트웨어 결함 데이터의 특징 부분 집합을 이용한 자기지도 학습},
  author={최정환 and 류덕산},
  journal={한국정보과학회 학술발표논문집},
  pages={203--205},
  year={2021}
}

@inproceedings{hwang2021climate,
  title     = {Climate Modeling with Neural Diffusion Equations},
  author    = {Hwang, Jeehyun and Choi, Jeongwhan and Choi, Hwangyong and Lee, Kookjin and Lee, Dongeun and Park, Noseong},
  booktitle = {IEEE International Conference on Data Mining},
  year      = {2021},
  url       = {https://arxiv.org/abs/2111.06011}
}

@inproceedings{choi2021lt,
  title     = {LT-OCF: Learnable-Time ODE-based Collaborative Filtering},
  author    = {Choi, Jeongwhan and Jeon, Jinsung and Park, Noseong},
  booktitle = {Proceedings of the ACM International Conference on Information and Knowledge Management},
  year      = {2021},
  url       = {https://arxiv.org/pdf/2108.06208.pdf}
}

@inproceedings{choi2021bayesianconf,
  title     = {Bayesian Optimization Framework for Cross-Version Defect Prediction},
  author    = {Choi, Jeongwhan and Ryu, Duksan},
  booktitle = {Korea Conference on Software Engineering},
  year      = {2021}
}

@inproceedings{choi2020study,
  title     = {A Study on the Applicability of Transfer Learning Techniques for Cross-Project Defect Regression},
  author    = {Choi, Jeongwhan and Ryu, Duksan},
  booktitle = {Korea Software Congress},
  pages={150--152},
  year      = {2020},
}

@inproceedings{choi2020comparative,
  title     = {Comparative Study of Transfer Learning Models for Cross-Project Automotive Software Defect Prediction},
  author    = {Choi, Jeongwhan and Ryu, Duksan and Kim, Suntae},
  booktitle = {Korea Computer Congress},
  year      = {2020},
  pages     = {257--259},
}

@inproceedings{choi2020prediction,
  title     = {Prediction for Configuration Bug Report Using Text Mining},
  author    = {Choi, Jeongwhan and Choi, Jiwon and Ryu, Duksan and Kim, Suntae},
  booktitle = {Korea Conference on Software Engineering},
  year      = {2020}
}

@inproceedings{song2019chimera,
  title     = {A Software Module That Analyzes the Relationship Between Headline and Content of the Web Article: CHIMERA},
  author    = {Song, Seounghan and Choi, Jeongwhan and Kang, Mingu and Yoo, Cheoljung},
  booktitle = {Proceedings of KIIT Conference},
  year      = {2019}
}

@article{jeong2025predicting,
  title   = {Predicting Drug-Drug Interactions: A Deep Learning Approach with GCN-Based Collaborative Filtering},
  author  = {Jeong, Yeon Uk and Choi, Jeongwhan and Park, Noseong and Ryu, Jae Yong and Kim, Yi Rang},
  journal = {Artificial Intelligence in Medicine},
  year    = {2025},
  doi     = {10.1016/j.artmed.2025.103185}
}

@article{lee2024graphbased,
  title   = {Graph-Based Representation Approach for Deep Learning of Organic Light-Emitting Diode Devices},
  author  = {Lee, Taeyang and Choi, Jeongwhan and Na, Inyeob and Yoo, Insun and Woo, Sungil and Kim, Kwang Jong and Park, Mikyung and Yang, Joonghwan and Min, Jeongguk and Lee, Seokwoo and Park, Noseong and Yang, Joonyoung},
  journal = {Advanced Intelligent Systems},
  year    = {2024},
  doi     = {10.1002/aisy.202400598}
}

@article{choi2023graph,
  title   = {Graph Neural Rough Differential Equations for Traffic Forecasting},
  author  = {Choi, Jeongwhan and Park, Noseong},
  journal = {ACM Transactions on Intelligent Systems and Technology},
  year    = {2023},
  doi     = {10.1145/3604808}
}

@article{hwang2023climate,
  title   = {Climate Modeling with Neural Advection-Diffusion Equation},
  author  = {Choi, Hwangyong and Choi, Jeongwhan and Hwang, Jeehyun and Lee, Kookjin and Lee, Dongeun and Park, Noseong},
  journal = {Knowledge and Information Systems},
  year    = {2023},
  doi     = {10.1007/s10115-023-01829-2}
}

@article{choi2021bayesian,
  title   = {Bayesian Optimization Framework for Improved Cross-Version Defect Prediction},
  author  = {Choi, Jeongwhan and Ryu, Duksan},
  journal = {KIPS Transactions on Software and Data Engineering},
  year    = {2021}
}

@article{choi2021improved,
  title={Improved Prediction for Configuration Bug Report Using Text Mining and Dimensionality Reduction},
  author={Choi, Jeongwhan and Choi, Jiwon and Ryu, Duksan and Kim, Suntae},
  journal={Journal of KIISE},
  volume={48},
  number={1},
  pages={35--42},
  year={2021}
}

@article{choi2019prediction,
  title   = {Prediction Techniques for Difficulty Level of Hanja Using Multiple Linear Regression},
  author  = {Choi, Jeongwhan and Noh, Jiwoo and Kim, Suntae},
  journal = {J. Inst. Internet, Broadcast. Commun.},
  year    = {2019}
}

@article{choi2018iceberg,
  title={Iceberg-Ship Classification in SAR Images Using Convolutional Neural Network with Transfer Learning.},
  author={Choi, Jeongwhan},
  journal={Journal of Internet Computing \& Services},
  volume={19},
  number={4},
  year={2018}
}

@inproceedings{jeon2025possibility,
  title     = {Possibility for Proactive Anomaly Detection},
  author    = {Jeon, Jinsung and Park, Jaehyeon and Park, Sewon and Choi, Jeongwhan and Kim, Minjung and Park, Noseong},
  booktitle = {ICBINB Workshop at ICLR},
  year      = {2025}
}

@inproceedings{lim2025enhancing,
  title     = {FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality Features},
  author    = {Lim, Seonkyu and Choi, Jeongwhan and Park, Noseong},
  booktitle = {Social Impact Workshop at AAAI},
  year      = {2025}
}

@inproceedings{lim2025fraug,
  title     = {FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features},
  author    = {Lim, Seonkyu and Choi, Jeongwhan and Lee, Jaehoon and Park, Noseong},
  booktitle = {AI4TS Workshop at AAAI},
  year      = {2025}
}

@inproceedings{lim2024enhanced,
  title     = {Enhanced Fraud Detection in Bank Transfers via Augmented Account Features},
  author    = {Lim, Seonkyu and Choi, Jeongwhan and Lee, Jaehoon and Park, Noseong},
  booktitle = {ACM ICAIF Workshop on Foundation Models for Time Series (FM4TS)},
  year      = {2024}
}

@inproceedings{lee2023hypernetwork,
  title     = {HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts},
  author    = {Lee, Jaehoon and Kim, Chan and Lee, Gyumin and Lim, Haksoo and Choi, Jeongwhan and Lee, Kookjin and Lee, Dongeun and Hong, Sanghyun and Park, Noseong},
  booktitle = {NeurIPS Workshop on Distribution Shifts},
  year      = {2023}
}

@article{choi2025tabpfn,
  title   = {Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?},
  author  = {Choi, Jeongwhan and Kang, Woosung and Kim, Minseo and Kim, Jongwoo and Park, Noseong},
  journal = {arXiv preprint},
  year    = {2025},
  url     = {https://arxiv.org/abs/2512.08798}
}

@article{lee2024graph,
  title   = {Graph Signal Processing for Cross-Domain Recommendation},
  author  = {Lee, Jeongeun and Kang, Seongku and Shin, Won-Yong and Choi, Jeongwhan and Park, Noseong and Lee, Dongha},
  journal = {arXiv preprint},
  year    = {2024},
  url     = {https://arxiv.org/abs/2407.12374}
}

@article{choi2023rdgcl,
  title   = {RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation},
  author  = {Choi, Jeongwhan and Wi, Hyowon and Lee, Chaejeong and Cho, Sung-Bae and Lee, Dongha and Park, Noseong},
  journal = {arXiv preprint},
  year    = {2023},
  url     = {https://arxiv.org/abs/2312.16563}
}

@article{lee2022time,
  title   = {Time Series Forecasting with Hypernetworks Generating Parameters in Advance},
  author  = {Lee, Jaehoon and Kim, Chan and Lee, Gyumin and Lim, Haksoo and Choi, Jeongwhan and Lee, Kookjin and Lee, Dongeun and Hong, Sanghyun and Park, Noseong},
  journal = {arXiv preprint},
  year    = {2022},
  url     = {https://arxiv.org/abs/2211.12034}
}

Publications

Conference Papers

Journal Papers

Abstacts and Contributions to Peer-reviewed Workshops

Preprint