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Publications by Year
Publications ( IJ International Journal, DJ Domestic Journal, IC International Conference, DC Domestic Conference, PR Preprint, W Workshop)
2026
[IC-26] Knowledge World Model: Latent Rollouts for Learning Path Recommendation
Jongwoo Kim, Seongyeub Chu, Jeongwhan Choi, Jiwon Jeong and Mun Yong Yi
ACM International Conference on Information and Knowledge Management (CIKM), 2026.
[BibTeX]
@inproceedings{kim2026kwm,
title={Knowledge World Model: Latent Rollouts for Learning Path Recommendation},
author={Kim, Jongwoo and Chu, Seongyeub and Choi, Jeongwhan and Jeong, Jiwon and Yi, Mun Yong},
booktitle={ACM International Conference on Information and Knowledge Management (CIKM)},
year={2026}
}
[IC-25] One Sequential Recommendation Model Pretrained from Synthetic Priors Predicts Multiple Datasets
Woosung Kang, Jiwon Jeong, Jonghyeok Shin, Jeongwhan Choi, Noseong Park
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026.
Oral Presentation
[arXiv][Paper][Code][BibTeX]
@inproceedings{kang2026srpfn,
title={One Sequential Recommendation Model Pretrained from Synthetic Priors Predicts Multiple Datasets},
author={Kang, Woosung and Jeong, Jiwon and Shin, Jonghyeok and Choi, Jeongwhan and Park, Noseong},
booktitle={ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
year={2026},
url={https://dl.acm.org/doi/10.1145/3770855.3818142}
}
[W-06] How Much Memory Do We Need? Adaptive Memory Gate for Neural Operators
Jihyeon Hur, Yongseok Kwon, Min-Gi Jo, Jeongwhan Choi, Noseong Park
AI4Physics Workshop at ICML, 2026.
[Paper][BibTeX]
@inproceedings{hur2026adaptive,
title = {How Much Memory Do We Need? Adaptive Memory Gate for Neural Operators},
author = {Hur, Jihyeon and Kwon, Yongseok and Jo, Min-Gi and Choi, Jeongwhan and Park, Noseong},
booktitle = {AI4Physics Workshop at ICML},
year = {2026},
url = {https://arxiv.org/abs/2606.13443}
}
[IC-24] Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors
Jeongwhan Choi, Jongwoo Kim, Woosung Kang, Noseong Park
International Conference on Learning Representations (ICLR), 2026.
[OpenReview][BibTeX]
@inproceedings{choi2026nodepfn,
title = {Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors},
author = {Choi, Jeongwhan and Kim, Jongwoo and Kang, Woosung and Park, Noseong},
booktitle = {International Conference on Learning Representations},
year = {2026},
url = {https://openreview.net/forum?id=FmxRzlu0rT}
}
[IC-23] Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park
AAAI Conference on Artificial Intelligence (AAAI), 2026.
Oral Presentation. Acceptance Rate 17.6% (4,167/23,680)
[Paper][BibTeX]
@article{choi2026fractal,
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},
journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
year = {2026},
volume = {40}
number = {25},
pages = {20553-20561}
url = {https://ojs.aaai.org/index.php/AAAI/article/view/39191},
doi = {10.1609/aaai.v40i25.39191},
}
2025
[PR-04] Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?
Jeongwhan Choi, Woosung Kang, Minseo Kim, Jongwoo Kim, Noseong Park
arXiv preprint, 2025.
[arXiv][BibTeX]
@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}
}
[IC-22] FraudCenGCL: Role-Aware Graph Contrastive Learning for Low-Homophily Fraud Detection
Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee
IEEE International Conference on Big Data (Big Data), 2025.
Industrial & Government Track
[Paper][BibTeX]
@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},
url = {https://ieeexplore.ieee.org/document/11402142}
}
[IC-21] TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
Yehjin Shin, Jeongwhan Choi, Seojin Kim, Noseong Park
Conference on Neural Information Processing Systems (NeurIPS), 2025.
Acceptance Rate 25.52% (5,290/21,575)
[arXiv][BibTeX]
@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}
}
[IJ-04] Predicting Drug-Drug Interactions: A Deep Learning Approach with GCN-Based Collaborative Filtering
Yeon Uk Jeong, Jeongwhan Choi, Noseong Park, Jae Yong Ryu, Yi Rang Kim
Artificial Intelligence in Medicine, 2025.
IF 6.1
[Paper][Article (HitNews)][Article (Hankyung)][BibTeX]
@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}
}
[IC-20] Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
Hyowon Wi, Jeongwhan Choi, Noseong Park
International Joint Conference on Artificial Intelligence (IJCAI), 2025.
Acceptance Rate 19.3% (1042/5404)
[Paper][arXiv][BibTeX]
@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}
}
[W-05] Possibility for Proactive Anomaly Detection
Jinsung Jeon, Jaehyeon Park, Sewon Park, Jeongwhan Choi, Minjung Kim, Noseong Park
ICBINB Workshop at ICLR, 2025.
[Paper][BibTeX]
@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}
}
[IC-19] PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
Youn-Yeol Yu*, Jeongwhan Choi*, Jaehyeon Park, Kookjin Lee, Noseong Park
International Conference on Learning Representations (ICLR), 2025.
Acceptance Rate 32.08%
[Paper][BibTeX]
@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}
}
[W-04] FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality Features
Seonkyu Lim, Jeongwhan Choi, Noseong Park
Social Impact Workshop at AAAI, 2025.
[talk][BibTeX]
@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}
}
[W-03] FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features
Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park
AI4TS Workshop at AAAI, 2025.
[Paper][BibTeX]
@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}
}
[IC-18] FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features
Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park
IEEE International Conference on Big Data and Smart Computing (BigComp), 2025.
[Paper][BibTeX]
@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}
}
[IC-17] SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
Chaejeong Lee*, Jeongwhan Choi*, Hyowon Wi, Sung-Bae Cho, Noseong Park
The 18th ACM International Conference on Web Search and Data Mining (WSDM), 2025.
Acceptance Rate 17.3%
[arXiv][Paper][BibTeX]
@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}
}
2024
[PR-03] Graph Signal Processing for Cross-Domain Recommendation
Jeongeun Lee, Seongku Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee
arXiv preprint, 2024.
[arXiv][BibTeX]
@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}
}
[W-02] Enhanced Fraud Detection in Bank Transfers via Augmented Account Features
Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park
ACM ICAIF Workshop on Foundation Models for Time Series (FM4TS), 2024.
Accepted for oral presentation
[etnews][ZDNET KOREA][BibTeX]
@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}
}
[IJ-03] Graph-Based Representation Approach for Deep Learning of Organic Light-Emitting Diode Devices
Taeyang Lee, Jeongwhan Choi, Inyeob Na, Insun Yoo, Sungil Woo, Kwang Jong Kim, Mikyung Park, Joonghwan Yang, Jeongguk Min, Seokwoo Lee, Noseong Park, Joonyoung Yang
Advanced Intelligent Systems, 2024.
IF 6.8
[Paper][BibTeX]
@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}
}
[IC-16] Graph Convolutions Enrich the Self-Attention in Transformers!
Jeongwhan Choi*, Hyowon Wi*, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
Conference on Neural Information Processing Systems (NeurIPS), 2024.
Acceptance Rate 25.8%
[arXiv][BibTeX]
@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}
}
[IC-15] Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP
Seonkyu Lim*, Jeongwhan Choi*, Noseong Park, Sang-Ha Yoon, Shinhyuck Kang, Young-Min Kim, Hyunjoong Kang
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024.
Applied Research Paper Acceptance Rate 32.59%
[Paper][arXiv][BibTeX]
@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}
}
[IC-14] Polynomial-based Self-Attention for Table Representation Learning
Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
International Conference on Machine Learning (ICML), 2024.
Acceptance Rate 27.5%
[Paper][BibTeX]
@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://proceedings.mlr.press/v235/kim24ae.html}
}
[IC-13] PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
International Conference on Machine Learning (ICML), 2024.
Acceptance Rate 27.5%
[Paper][arXiv][BibTeX]
@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}
}
[IC-12] SVD-AE: Simple Autoencoders for Collaborative Filtering
Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
International Joint Conference on Artificial Intelligence (IJCAI), 2024.
Acceptance Rate 14.00%
[Paper][arXiv][code][BibTeX]
@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}
}
[IC-11] Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, Chang-Seung Woo, Ilho Kim, Seok-Woo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park
International Conference on Learning Representations (ICLR), 2024. [Acceptance Rate 30.52%]
[Paper][arXiv][BibTeX]
@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}
}
[IC-10] An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention
Yehjin Shin*, Jeongwhan Choi*, Hyowon Wi, Noseong Park
AAAI Conference on Artificial Intelligence (AAAI), 2024.
Acceptance Rate 23.75%
[Paper][arXiv][BibTeX]
@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}
}
2023
[PR-02] RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
Jeongwhan Choi*, Hyowon Wi*, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park
arXiv preprint, 2023.
[arXiv][BibTeX]
@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}
}
[IC-09] 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, Noseong Park
IEEE International Conference on Big Data (Big Data), 2023.
Acceptance Rate 17.49% (92/526)
[Paper][BibTeX]
@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}
}
[W-01] HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts
Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
NeurIPS 2023 Workshop on Distribution Shifts (DistShift), 2023.
[Paper][BibTeX]
@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}
}
[IC-08] QoS-Aware Graph Contrastive Learning for Web Service Recommendation
Jeongwhan Choi, Duksan Ryu
Asia-Pacific Software Engineering Conference (APSEC), 2023.
Acceptance Rate 33.5%
[arXiv][Paper][BibTeX]
@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}
}
[IC-07] GREAD: Graph Neural Reaction-Diffusion Networks
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
International Conference on Machine Learning (ICML), 2023.
Acceptance Rate 27.94% (1,827/6,538)
[Paper][BibTeX]
@inproceedings{choi2023gread,
title = {GREAD: Graph Neural 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://proceedings.mlr.press/v202/choi23a}
}
[IC-06] Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR), 2023.
Acceptance Rate 20.1% (165/822)
[arXiv][Paper][code][BibTeX]
@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 Conference on Research and Development in Information Retrieval (SIGIR)},
year = {2023},
url = {https://dl.acm.org/doi/abs/10.1145/3539618.3591645}
}
[DC-07] Graph Convolution-based Collaborative Filtering for Web Service QoS Ranking
Jeongwhan Choi, Duksan Ryu
Proceedings of the 25th Korea Conference on Software Engineering (KCSE), 2023. pp. 58–67.
[Paper][BibTeX]
@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}
}
[IJ-01] Climate Modeling with Neural Advection-Diffusion Equation
Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park
Knowledge and Information Systems, 2023.
IF 3.205
[Paper][BibTeX]
@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}
}
2022
[PR-01] Time Series Forecasting with Hypernetworks Generating Parameters in Advance
Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
arXiv preprint, 2022.
[arXiv][BibTeX]
@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}
}
[IC-05] Prediction-based One-shot Dynamic Parking Pricing
Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.
Regular Paper Acceptance Rate 23.23%
[Paper][arXiv][code][BibTeX]
@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}
}
[IC-04] Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
AAAI Conference on Artificial Intelligence (AAAI), 2022.
Oral Presentation (Acceptance rate: 5.5%). Overall Acceptance rate: 15.2% (1,370/9,020).
[Paper][arXiv][code][BibTeX]
@inproceedings{choi2022stgncde,
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/20587}
}
[IC-03] Linear, or Non-Linear, That is the Question!
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM), 2022.
Regular Paper Acceptance Rate 15.8%. Overall Acceptance Rate 18%.
[arXiv][code][BibTeX]
@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}
}
2021
[IC-02] Climate Modeling with Neural Diffusion Equations
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
IEEE International Conference on Data Mining (ICDM), 2021.
Regular Paper Acceptance Rate 9.9%. Overall Acceptance Rate 20%.
[arXiv][code][BibTeX]
@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 (ICDM)},
pages = {230--239},
year = {2021},
organization={IEEE}
}
[IC-01] LT-OCF: Learnable-Time ODE-based Collaborative Filtering
Jeongwhan Choi, Jinsung Jeon, Noseong Park
Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021.
Regular Paper Acceptance Rate 21.7%. Overall Acceptance Rate 22%.
[arXiv][Paper][code][BibTeX]
@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}
}
[DC-05] Bayesian Optimization Framework for Cross-Version Defect Prediction
Jeongwhan Choi, Duksan Ryu
Proceedings of the 23rd Korea Conference on Software Engineering (KCSE), 2021.
Best Paper Award.
[pdf][video][BibTeX]
@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}
}
[DJ-03] Improved Prediction for Configuration Bug Report Using Text Mining and Dimensionality Reduction
Jeongwhan Choi, Jiwon Choi, Duksan Ryu, Suntae Kim
Journal of KIISE, 2021.
[Paper][BibTeX]
@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}
}
2020
[DC-03] Comparative Study of Transfer Learning Models for Cross-Project Automotive Software Defect Prediction
Jeongwhan Choi, Duksan Ryu, Suntae Kim
Korea Computer Congress (KCC), 2020.
[Paper][BibTeX]
@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},
}
[DC-02] Prediction for Configuration Bug Report Using Text Mining
Jeongwhan Choi, Jiwon Choi, Duksan Ryu, Suntae Kim
Proceedings of the 22nd Korea Conference on Software Engineering (KCSE), 2020.
[Paper][BibTeX]
@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}
}
2019
[DJ-02] Prediction Techniques for Difficulty Level of Hanja Using Multiple Linear Regression
Jeongwhan Choi, Jiwoo Noh, Suntae Kim
J. Inst. Internet, Broadcast. Commun., 2019.
[Paper][BibTeX]
@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}
}
[DC-01] A Software Module That Analyzes the Relationship Between Headline and Content of the Web Article: CHIMERA
Seounghan Song, Jeongwhan Choi, Mingu Kang, Cheoljung Yoo
Proceedings of KIIT Conference, 2019.
[Paper][BibTeX]
@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}
}
2018
[DJ-01] Iceberg-Ship Classification in SAR Images Using Convolutional Neural Network with Transfer Learning
Jeongwhan Choi
Journal of Internet Computing & Services, vol. 19, no. 4, pp. 35–44, 2018.
[Paper][BibTeX]
@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}
}
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