Jeongwhan Choi / Homepage / CV / CV of Failure / Google Scholar / Semantic Scholar / Research Gate / Twitter / LinkedIn / GitHub /
- (May 26, 2025) "How Much Memory Do We Need? Adaptive Memory Gate for Neural Operators" was accepted for an AI4Physics workshop at ICML 2026.
- (May 16, 2026) A paper I co-authored, "One Sequential Recommendation Model Pretrained from Synthetic Priors Predicts Multiple Datasets," was accepted to KDD 2026 (Research Track).
- (May 14, 2026) Received the Gold Reviewer Award at ICML 2026.
- (Apr 28, 2026) Our AAAI 2026 paper was featured in the NAIRL Tech Horizon report on NeurIPS 2025 and AAAI 2026 as one of the representative research outcomes from the National AI Research Lab.
- (Apr 9, 2026) Invited to serve as an Area Chair for the GFM workshop at ICML 2026.
- (Mar 25, 2026) Invited to serve as a reviewer for NeurIPS 2026.
- (Mar 16, 2026) Selected as the 2026 Jang Young-Sil Fellow Program (Excellence Track), awarded by KAIST's Office of Research Affairs. The fellowship supports outstanding postdoctoral researchers throughout 2026.
- (Mar 1, 2026) Invited to serve as General Chair of LoG 2026.
- (Jan 26, 2026) "Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors" was accepted in ICLR 2026!
π Archived news
- (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.
- (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) Invited as a reviewer for KDD 2026 (first cycle).
- (June 19, 2025) Invited to be a PC member for WSDM 2026.
- (June 11, 2025) I have been recognized as an 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) Invited to be a PC member for ECAI 2025.
- (Mar 3, 2025) Invited to be a Web Chair for CIKM 2025!
- (Mar 2, 2025) 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) Invited to be a reviewer for NeurIPS 2025.
- (Jan 25, 2025) 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 the First Prize (Paper Track on Business Idea Competition) by the Korea Financial Telecommunications & Clearings Institute (κΈμ΅κ²°μ μ).
- (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 my 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 my 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, 2023) 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 NeurIPS 2023 Workshop on Distribution Shifts (DistShift).
- (Sep 1, 2023) I started an alternative military service as a Ph.D. technical research personnel.
- (Aug 23, 2023) QoS-Aware Graph Contrastive Learning for Web Service Recommendation was accepted in APSEC 2023.
- (Aug 10, 2023) Blurring-Sharpening Process Models for Collaborative Filtering was invited to the "Top Conference Session" at KCC 2023.
- (Jun 22, 2023) I have joined as a contributor to the Graph User Group (GUG) community.
- (Jun 13, 2023) 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, my research advisor, presented the paper on June 27 via weekly webinars.
- (May 29, 2023) Graph Neural Rough Differential Equations for Traffic Forecasting was accepted in ACM Transactions on Intelligent Systems and Technology (TIST) (IF=10.489).
- (May 12, 2023) 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.
- (Apr 25, 2023) GREAD: Graph Neural Reaction-Diffusion Networks was accepted in ICML 2023.
- (Apr 6, 2023) Blurring-Sharpening Process Models for Collaborative Filtering was accepted in SIGIR 2023.
- (Jan 6, 2023) Climate Modeling with Neural Advection-Diffusion Equation was accepted in Knowledge and Information Systems (IF=2.531).
- (Sep 28, 2022) Prediction-based One-shot Dynamic Parking Pricing was accepted in CIKM 2022.
- (Jun 12, 2022) Graph Neural Controlled Differential Equations for Traffic Forecasting was selected for the Innovation Awards at Yonsei University.
- (Apr 7, 2022) Graph Neural Controlled Differential Equations for Traffic Forecasting was invited to the "Top Conference Session" at KCC 2022.
- (Feb 18, 2022) 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.
- (Dec 8, 2022) Graph Neural Controlled Differential Equations for Traffic Forecasting was accepted in AAAI 2022.
- (Nov 23, 2022) Linear, or Non-Linear, That is the Question! was accepted in WSDM 2022.
- (Dec 13, 2021) Our IEEE ICDM 2021 paper "Climate Modeling with Neural Diffusion Equations" has been invited for journal extension in Knowledge and Information Systems (KAIS).
- (Aug 31, 2021) Climate Modeling with Neural Diffusion Equations was accepted in ICDM 2021.
- (Aug 9, 2021) LT-OCF: Learnable-Time ODE-based Collaborative Filtering was accepted in CIKM 2021.
π Physics-inspired & Differential Equation-based GNNs
| Repo | Paper | Venue | Stars |
|---|---|---|---|
| STG-NCDE | Graph Neural Controlled Differential Equations for Traffic Forecasting | AAAI 2022 (Oral) |  |
| GREAD | GREAD: Graph Neural Reaction-Diffusion Networks | ICML 2023 |  |
| STG-NRDE | Graph Neural Rough Differential Equations for Traffic Forecasting | ACM TIST |  |
π Over-smoothing, Over-squashing & Graph Transformers
| Repo | Paper | Venue | Stars |
|---|---|---|---|
| PANDA | PANDA: Expanded Width-Aware Message Passing Beyond Rewiring | ICML 2024 |  |
| MPNN-FN | Are Graph Transformers Necessary? Long-Range Message Passing with Fractal Nodes | AAAI 2026 (Oral) |  |
| GFSA | Graph Convolutions Enrich the Self-Attention in Transformers! | NeurIPS 2024 |  |
π Recommender Systems
| Repo | Paper | Venue | Stars |
|---|---|---|---|
| BSPM | Blurring-Sharpening Process Models for Collaborative Filtering | SIGIR 2023 |  |
| LT-OCF | LT-OCF: Learnable-Time ODE-based Collaborative Filtering | CIKM 2021 |  |
| BSARec | An Attentive Inductive Bias for Sequential Recommendation | AAAI 2024 |  |
| SVD-AE | SVD-AE: Simple Autoencoders for Collaborative Filtering | IJCAI 2024 |  |
| SCONE | Stochastic Sampling for Contrastive Views & Hard Negatives | WSDM 2025 |  |
π Undergraduate & Early Projects (Software Engineering background)
| Repo | Description | Context | Stars |
|---|---|---|---|
| MLND-Capstone-Project | Iceberg vs. ship classification from SAR images (CNN + transfer learning) β basis of my first journal paper (2018) | Udacity MLND |  |
| object-detection | Vehicle detection pipeline (HOG features + sliding window + heat-map) | Udacity SDCND |  |
π οΈ Tools & Utilities
| Repo | Description | Stars |
|---|---|---|
| convert-ppt-to-pdf | Batch-convert PPT/PPTX to PDF via macOS Automator |  |
You can check both my CV and CV of Failures. For more information about me and my work, please visit my homepage and latest updates!