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- 🏆 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!"
- 🔝 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!
- ⏱️ TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation was accepted in NeurIPS 2025!
- 🎓 I have joined the Information & Electronics Research Institute at KAIST as a Post-doctoral Researcher.
- 🎓 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.
- ✌️ Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain was accepted in IJCAI 2025.
- 🕸️ PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks was accepted in ICLR 2025.
- 🏆 Jeongwhan Choi has won a 2024 Qualcomm Innovation Fellowship!
- 🍪 SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation was accepted in WSDM 2025.
- 🔆 Graph Convolutions Enrich the Self-Attention in Transformers! was accepted in NeurIPS 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. (May 2024)
- 💹 Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP was accepted in CIKM 2024.
- 🐼 PANDA: Expanded Width-Aware Message Passing Beyond Rewiring was accepted in ICML 2024.
- 🪶 SVD-AE: Simple Autoencoders for Collaborative Filtering was accepted in IJCAI 2024.
- 🕸️ Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer was accepted in ICLR 2024.
- 🛒 An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention was accepted in AAAI 2024.
- 🛣️ Graph Neural Rough Differential Equations for Traffic Forecasting was accepted in ACM TIST (IF=10.489).
- 🍞 GREAD: Graph Neural Reaction-Diffusion Networks was accepted in ICML 2023.
- 🪓 Blurring-Sharpening Process Models for Collaborative Filtering was accepted in SIGIR 2023.
- 🌏 Climate Modeling with Neural Advection-Diffusion Equation was accepted in Knowledge and Information Systems (IF=3.205).
🅿️ Prediction-based One-shot Dynamic Parking Pricing was accepted in CIKM 2022.- 🔝 Graph Neural Controlled Differential Equations for Traffic Forecasting was selected for oral presentation in AAAI 2022. The top 4.21% (380/9020) of papers were selected for oral presentation in AAAI 2022.
- 🚘 Graph Neural Controlled Differential Equations for Traffic Forecasting was accepted in AAAI 2022.
- 🤔 Linear, or Non-Linear, That is the Question! was accepted in WSDM 2022.
- 🌏 Climate Modeling with Neural Diffusion Equations was accepted in ICDM 2021.
- 🔖 LT-OCF: Learnable-Time ODE-based Collaborative Filtering was accepted in CIKM 2021.
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!