News
π Mar 3, 2025 I am invited to be a Web Chair for CIKM 2025!
πͺ Feb 27, 2025 As a Ph.D. technical research personnel, I completed a military training program in February!
βοΈ Jan 25, 2025 I am invited to be a reviewer for Transactions on Machine Learning Research (TMLR).
πΈοΈ Jan 23, 2025 "PIORF: Physics-Informed Ollivier-Ricci Flow for LongβRange Interactions in Mesh Graph Neural Networks" was accepted in ICLR 2025!
π΅οΈ Jan 13, 2025 "FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality Features" was accepted for Social Impact: Bridging Innovations in Finance, Social Media, and Crime PreventionΒ Workshop at AAAI 2025.
π Jan 8, 2025 I am delighted to have received the "Merit Academic Paper Award" from Yonsei University for his research "PANDA: Expanded Width-Aware Message Passing Beyond Rewiring", which was presented at ICML 2024.
π Dec 18, 2024 I have been recognized as an Outstanding Reviewer (Top 10%) for KDD 2025 (August Cycle).
π Dec 3, 2024 I won a 2024 Qualcomm Innovation Fellowship!
π Nov 30, 2024 I was recognized as the "Top Reviewer" from LoG 2024.
π Nov 5, 2024 I am honored to receive a "Top (8%) Reviewer" award from NeurIPS 2024.
π₯ Oct 29, 2024 I am honored to receive have received the First Prize by the Korea Financial Telecommunications & Clearnings Institute (κΈμ΅κ²°μ μ).
πͺ Oct 24, 2024 "SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation" was accepted in WSDM 2025.
π Oct 23, 2024 I was qualified as a Qualcomm Innovation Fellowship Finalist in the field of AI/ML.
πΈ Oct 12, 2024 "Enhanced Fraud Detection in Bank Transfers via Augmented Account Features" was accepted in ICAIF Workshop onΒ Foundation Models for Time Series: Exploring New Frontiers (FMTS) as an oral presentation!
π₯οΈ Oct 4, 2024 "Graph-based representation approach for deep learning of OLED devices" was accepted in Advanced Intelligent Systems
π Sep 26, 2024 "Graph Convolutions Enrich the Self-Attention in Transformers!" was accepted in NeurIPS 2024!
π 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.
πΉ Jul 17, 2024Β "Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP" was accepted in CIKM 2024!
π 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.
πΌ May 2, 2024 PANDA: Expanded Width-Aware Message Passing Beyond Rewiring was accepted in ICML 2024!
πͺΆ Apr 17, 2024 SVD-AE: Simple Autoencoders for Collaborative Filtering was accepted in IJCAI 2024!
π Jan 15, 2024 I was awarded the βBest Paper Awardβ by Yonsei University for his research "GREAD: Graph Neural Reaction-Diffusion Networks", which was presented at ICML 2023.
πΈοΈ Jan 16, 2024 Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer was accepted in ICLR 2024!
π Dec 9, 2023 An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention was accepted in AAAI 2024!
π The preprint of our work, Graph Convolutions Enrich the Self-Attention in Transformers!, is released in arXiv.
π¨ GREAD: Graph Neural Reaction-Diffusion Networks was invited to the "Top Conference Session" at KSC 2023.
π 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).
β²οΈ HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts was accepted in NeurIPS 2023 Workshop on Distribution Shifts (DistShift).
πΈοΈ QoS-Aware Graph Contrastive Learning for Web Service Recommendation was accepted in APSEC 2023.
πͺ Jeongwhan Choi started an alternative military service as a Ph.D. technical research personnel. (Sep. 2023)
π¨ Blurring-Sharpening Process Models for Collaborative Filtering was invited to the "Top Conference Session" at KCC 2023.
π£οΈ Graph Neural Rough Differential Equations for Traffic Forecasting was accepted in ACM Transactions on Intelligent Systems and Technology (TIST) (IF=10.489).
πΈοΈ Jeongwhan Choi has joined as a contributor to the Graph User Group (GUG) community.
π¨ 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.Β
π 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.
π GREAD: Graph Neural Reaction-Diffusion Networks was accepted in ICML 2023.
πͺ Blurring-Sharpening Process Models for Collaborative Filtering was accepted in SIGIR 2023.
π Climate Modeling with Neural Advection-Diffusion Equation was accepted in Knowledge and Information Systems (IF=2.531).Β
π ΏοΈ Prediction-based One-shot Dynamic Parking Pricing was accepted in CIKM 2022.
π Graph Neural Controlled Differential Equations for Traffic Forecasting was selected for the Innovation Awards at Yonsei University.
π¨ Graph Neural Controlled Differential Equations for Traffic Forecasting was invited to the "Top Conference Session" at KCC 2022.
π 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.
π Graph Neural Controlled Differential Equations for Traffic Forecasting was accepted in AAAI 2022.
π€Β Linear, or Non-Linear, That is the Question! was accepted in WSDM 2022.
πΒ Climate Modeling with Neural Diffusion Equations was accepted in ICDM 2021.
πΒ LT-OCF: Learnable-Time ODE-based Collaborative Filtering was accepted in CIKM 2021.