Jeongwhan Choi

About

I am Jeongwhan Choi (pronounced close to “jung-hwan chweh”), a Post-doctoral Researcher at the Information & Electronics Research Institute, KAIST. I received my Ph.D. in Artificial Intelligence from Yonsei University in August 2025 under the supervision of Noseong Park and Sung-Bae Cho. My research interests span various areas, including graph neural networks, recommender systems, spatio-temporal forecasting, differential equations, and Transformers. I have published multiple papers in prestigious venues, including NeurIPS, ICML, ICLR, AAAI, IJCAI, CIKM, WSDM, SIGIR, and ICDM. My research has been recognized through the Qualcomm Innovation Fellowship, and I have received Top Reviewer Awards at NeurIPS 2024, LoG 2024, and KDD 2025. I have served as Web Chair for CIKM 2025 and Website Chair LoG 2025.

Research Topics

Graph Neural Networks & Differential Equations

Recommender Systems & Collaborative Filtering

Spatiotemporal Forecasting

Transformers

My current research interests lie in graph foundation models that break free from the reliance on LLMs and and AI4Science. In particular, I'm exploring a direction opposite to that pursed by many researchers using LLMs. Regarding AI4Science, I'm exploring the limitations of MeshGNN and solving problems in noninear dynamics.

What's New

(Nov 19, 2025) I presented “Tackling Over-smoothing and Over-squashing in Deep Learning on Graphs” at the “Making Decisions with AI” seminar, Pusan National University.

(Nov 11, 2025) I received the Best Paper Runner-up Award from KAIST-Samsung Electronics DS Division Industry-Academic Collaboration Program for our paper “Graph Convolutions Enrich the Self-Attention in Transformers!”

(Oct 29, 2025) Our paper “Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs” has been accepted as an oral presentation at AAAI 2026!

(Sep 19, 2025) TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation was accepted in NeurIPS 2025!

(Sep 1, 2025) I have joined the Information & Electronics Research Institute at KAIST as a Post-doctoral Researcher.

(what's not new) · All news →

(Aug 29, 2025) I successfully defended my dissertation and received my Ph.D. in Artificial Intelligence from Yonsei University under the supervision of Prof. Noseong Park and Sung-Bae Cho.
(July 5, 2025) I am invited as a reviewer for KDD 2026 (first cycle).
(June 19, 2025) I am invited to be a PC member for WSDM 2026.
(June 11, 2025) I have been recognized as an [https://kdd2025.kdd.org/research-track-program-committee/\#february_cycle Outstanding Reviewer (Top 10%) for KDD 2025] (February Cycle).
(May 29, 2025) "Predicting Drug-Drug Interactions: A Deep Learning Approach with GCN-based Collaborative Filtering" was accepted in Artificial Intelligence in Medicine (*IF 6.1*)!
(May 5, 2025) I will serve as a Website Chair for the Learning on Graph (LoG) conference!
(Apr 29, 2025) "Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain" was accepted in IJCAI 2025!
(Apr 8, 2025) I am invited to be a PC member for ECAI 2025.
(Mar 3, 2025) I am invited to be a Web Chair for CIKM 2025!
(Mar 2, 2025) [https://www.paperdigest.org/2025/03/most-influential-aaai-papers-2025-03-version/ Paper Digest] announced that "Graph Neural Controlled Differential Equations for Traffic Forecasting" ranked 13th among the most influential papers at AAAI 2022.
(Feb 27, 2025) As a Ph.D. technical research personnel, I completed a military training program in February!
(Feb 17, 2025) I am invited to be a reviewer for NeurIPS 2025.
(Jan 25, 2025) I am invited to be a reviewer for Transactions on Machine Learning Research (TMLR).
(Jan 23, 2025) "PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks" was accepted in ICLR 2025!
(Jan 13, 2025) "FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality Features" was accepted for a workshop at AAAI 2025.
(Jan 8, 2025) I received the "Merit Academic Paper Award" from Yonsei University for PANDA (ICML 2024).
(Dec 18, 2024) I have been recognized as an Outstanding Reviewer (Top 10%) for KDD 2025 (August Cycle).
(Dec 3, 2024) I won a 2024 Qualcomm Innovation Fellowship!
(Nov 30, 2024) I was recognized as the "Top Reviewer" from LoG 2024.
(Nov 5, 2024) I am honored to receive a "Top (8%) Reviewer" award from NeurIPS 2024.
(Oct 29, 2024) I am honored to receive have received the First Prize by the Korea Financial Telecommunications & Clearnings Institute (금융결제원).
(Oct 24, 2024) "SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation" was accepted in WSDM 2025.
(Oct 23, 2024) I was qualified as a Qualcomm Innovation Fellowship Finalist in the field of AI/ML.
(Oct 12, 2024) "Enhanced Fraud Detection in Bank Transfers via Augmented Account Features" was accepted in ICAIF Workshop on Foundation Models for Time Series: Exploring New Frontiers (FMTS) as an oral presentation!
(Oct 4, 2024) "Graph-based representation approach for deep learning of OLED devices" was accepted in Advanced Intelligent Systems
(Sep 26, 2024) "Graph Convolutions Enrich the Self-Attention in Transformers!" was accepted in NeurIPS 2024!
(Aug 12, 2024) Paper Digest announced that our paper, "Graph Neural Controlled Differential Equations for Traffic Forecasting", ranked 14th among the most influential papers at AAAI 2022.
(Jul 17, 2024) "Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP" was accepted in CIKM 2024!
(Jul 12, 2024) I was awarded the "Merit Academic Paper Award" by Yonsei University for his research "Blurring-Sharpening Process Models for Collaborative Filtering", which was presented at SIGIR 2023.
(May 2, 2024) PANDA: Expanded Width-Aware Message Passing Beyond Rewiring was accepted in ICML 2024!
(Apr 17, 2024) SVD-AE: Simple Autoencoders for Collaborative Filtering was accepted in IJCAI 2024!
(Jan 15, 2024) I was awarded the “Best Paper Award” by Yonsei University for his research "GREAD: Graph Neural Reaction-Diffusion Networks", which was presented at ICML 2023.
(Jan 16, 2024) Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer was accepted in ICLR 2024!
(Dec 9, 2023) An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention was accepted in AAAI 2024!
(Dec 7, 2023) The preprint of our work, Graph Convolutions Enrich the Self-Attention in Transformers!, is released in arXiv.
(Nov 24, YYYY) GREAD: Graph Neural Reaction-Diffusion Networks was invited to the "Top Conference Session" at KSC 2023.
(Oct 27, 2023) Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations was accepted in IEEE International Conference on Big Data (Big Data 2023).
(Oct 27, 2023) HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts was accepted in [https://sites.google.com/view/distshift2023/home?authuser=0 NeurIPS 2023 Workshop on Distribution Shifts (DistShift)].
(Sep 1, 2023) Jeongwhan Choi started an alternative military service as a Ph.D. technical research personnel. (Sep. 2023)
(Aug 23, 2023) QoS-Aware Graph Contrastive Learning for Web Service Recommendation was accepted in [https://conf.researchr.org/home/apsec-2023 APSEC 2023].
(MMM DD, YYYY) Blurring-Sharpening Process Models for Collaborative Filtering was invited to the "Top Conference Session" at KCC 2023.
(MMM DD, YYYY) Graph Neural Rough Differential Equations for Traffic Forecasting was accepted in ACM Transactions on Intelligent Systems and Technology (TIST) (IF=10.489).
(MMM DD, YYYY) Jeongwhan Choi has joined as a contributor to the Graph User Group (GUG) community.
(MMM DD, YYYY) GREAD was invited for SEA-CROGS, where Sandia National Labs and Pacific Northwest National Labs are collaborating to solve scientific problems with deep learning. Prof. Noseong Park, who is my research advisor, will present the paper on the 27th of June via weekly webinars.
(MMM DD, YYYY) My research work (LT-OCF) is featured in the "Top 23 Python recommender-system Projects" and "Top 14 collaborative-filtering Open-Source Projects" on LibHunt.
(MMM DD, YYYY) GREAD: Graph Neural Reaction-Diffusion Networks was accepted in ICML 2023.
(MMM DD, YYYY) Blurring-Sharpening Process Models for Collaborative Filtering was accepted in SIGIR 2023.
(MMM DD, YYYY) Climate Modeling with Neural Advection-Diffusion Equation was accepted in Knowledge and Information Systems (IF=2.531).
(MMM DD, YYYY) Prediction-based One-shot Dynamic Parking Pricing was accepted in CIKM 2022.
(MMM DD, YYYY) Graph Neural Controlled Differential Equations for Traffic Forecasting was selected for the Innovation Awards at Yonsei University.
(MMM DD, YYYY) Graph Neural Controlled Differential Equations for Traffic Forecasting was invited to the "Top Conference Session" at KCC 2022.
(MMM DD, YYYY) Graph Neural Controlled Differential Equations for Traffic Forecasting was selected for oral presentation in AAAI 2022. The top 4.21% (380/9,020) of papers were selected for oral presentation in AAAI 2022.
(MMM DD, YYYY) Graph Neural Controlled Differential Equations for Traffic Forecasting was accepted in AAAI 2022.
(MMM DD, YYYY) Linear, or Non-Linear, That is the Question! was accepted in WSDM 2022.
(MMM DD, YYYY) Climate Modeling with Neural Diffusion Equations was accepted in ICDM 2021.
(MMM DD, YYYY) LT-OCF: Learnable-Time ODE-based Collaborative Filtering was accepted in CIKM 2021.

Research Experience

Sep 2020 – Aug 2025, Graduate Student Researcher, BigDyL (Big Data Analytics Lab)
Advisor: Noseong Park

Jan 2020 – Sep 2020, Undergraduate Student Researcher, AI & SE Lab
Advisor: Duksan Ryu

Nov 2018 – Dec 2019, Undergraduate Student Researcher, Systems & Software Engineering Lab
Advisor: Suntae Kim

Jeongwhan Choi 최정환

About

Research Topics

What's New

Research Experience

Selected Awards

Selected Talks