Jeongwhan Choi (최정환)
Ph.D. Student
BigDyL (Big Data Analytics Lab)
Dept. of Artificial Intelligence, College of Computing, Yonsei University
Email: jeongwhan.choi@yonsei.ac.kr
CV / CV of Failure / Google Scholar / Semantic Scholar / GitHub / Twitter / LinkedIn / ResearchGate / ORCID / DBLP / Medium
About
I am a Ph.D. student at Yonsei University, correctly conducting research at KAIST, where I relocated in February 2024 to continue working with my advisor, Prof. Noseong Park. My research interests span various areas, including graph neural networks, recommender systems, spatio-temporal forecasting, differential equations, and Transformers. I have developed graph-based deep learning methods inspired by differential equations in natural science, such as heat diffusion and reaction-diffusion equations. Recently, my focus on research has been extending the self-attention mechanism, the heart of Transformers, into the concept of graph signal processing.
I received my B.S. in Software Engineering from Jeonbuk National University (2016-2020) with Magna Cum Laude honors. During this time, I had the opportunity to be advised by Prof. Suntae Kim and Prof. Duksan Ryu.
My Erdős number is 4 through the following connection: Noseong Park → Sushil Jajodia → Yechezkel Zalcstein → Paul Erdős.
What's New
🏆 Dec 3, 2024 Jeongwhan Choi has won a 2024 Qualcomm Innovation Fellowship!
🔝 Nov 30, 2024 Jeongwhan Choi was recognized as the "Top Reviewer" from LoG 2024.
🔝 Nov 5, 2024 Jeongwhan Choi received a "Top (8%) Reviewer" award from NeurIPS 2024.
🥇 Oct 29, 2024 Jeongwhan Choi has been awarded the First Prize by the Korea Financial Telecommunications & Clearning 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 Jeongwhan Choi 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 Jeongwhan Choi 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 Jeongwhan Choi 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!
What's Not New...
🔓 The preprint of our work, Graph Convolutions Enrich the Self-Attention in Transformers!, is released in arXiv.
📨 GREAD: Graph Neural Reaction-Diffusion Networks was invited to the "Top Conference Session" at KSC 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).
⏲️ HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts was accepted in NeurIPS 2023 Workshop on Distribution Shifts (DistShift).
🕸️ QoS-Aware Graph Contrastive Learning for Web Service Recommendation was accepted in APSEC 2023.
🪖 Jeongwhan Choi started an alternative military service as a Ph.D. technical research personnel. (Sep. 2023)
📨 Blurring-Sharpening Process Models for Collaborative Filtering was invited to the "Top Conference Session" at KCC 2023.
🛣️ Graph Neural Rough Differential Equations for Traffic Forecasting was accepted in ACM Transactions on Intelligent Systems and Technology (TIST) (IF=10.489).
🕸️ Jeongwhan Choi has joined as a contributor to the Graph User Group (GUG) community.
📨 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.
🔝 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.
🍞 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=2.531).
🅿️ Prediction-based One-shot Dynamic Parking Pricing was accepted in CIKM 2022.
🏅 Graph Neural Controlled Differential Equations for Traffic Forecasting was selected for the Innovation Awards at Yonsei University.
📨 Graph Neural Controlled Differential Equations for Traffic Forecasting was invited to the "Top Conference Session" at KCC 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.
🚘 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.
Jeongwhan Choi*, Hyowon Wi*, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, and Noseong Park, "Graph Convolutions Enrich the Self-Attention in Transformers!", In Conference on Neural Information Processing Systems (NeurIPS), 2024.
Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, and Noseong Park, "PANDA: Expanded Width-Aware Message Passing Beyond Rewiring", ICML, 2024.
Jeongwhan Choi and Noseong Park, "Graph Neural Rough Differential Equations for Traffic Forecasting", ACM Transactions on Intelligent Systems and Technology (TIST), 2023.
Jeongwhan Choi, Seoyoung Hong, Noseong Park, and Sung-Bae Cho, "GREAD: Graph Reaction-Diffusion Networks," ICML 2023.
Jeongwhan Choi, Seoyoung Hong, Noseong Park, and Sung-Bae Cho, "Blurring-Sharpening Process Models for Collaborative Filtering," SIGIR 2023.
Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, and Noseong Park, "Graph Neural Controlled Differential Equations for Traffic Forecasting," AAAI 2022.
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, and Noseong Park, "Climate Modeling with Neural Diffusion Equations", ICDM 2021.
Jeongwhan Choi, Jinsung Jeon, and Noseong Park, "LT-OCF: Learnable-Time ODE-based Collaborative Filtering", CIKM 2021.
Research Experience
Sep 2020 – Present, Graduate Student Researcher, BigDyL (Big Data Analytics Lab) (Advisor: Prof. Noseong Park)
Jan 2020 – Sep 2020, Undergraduate Student Researcher, AI & SE Lab (Advisor: Prof. Duksan Ryu)
Nov 2018 – Dec 2019, Undergraduate Student Researcher, Systems & Software Engineering Lab (Advisor: Prof. Suntae Kim)
Awards & Scholarships
Dec 2024, Qualcomm Innovation Fellowship Award, Qualcomm Technologies Inc. [link]
Nov 2024, Top Reviewer Award, LoG 2024. [link]
Nov 2024, Top Reviewer Award, NeurIPS 2024. [link]
Oct, 2024, Excellence Award (First Prize), Korea Financial Telecommunications & Clearings Institute. [link]
Oct 2024, Qualcomm Innovation Fellowship Finalist Award, Qualcomm Technologies Inc. [link]
Jul 2024, Merit Academic Paper Award, Yonsei University (Runner-up paper in Dept. of Artificial Intelligence) [link]
Jan 2024, Best Paper Award, Yonsei University (Best paper in Dept. of Artificial Intelligence) [link]
May 2023, Graduate Student Research Assistantship (GSRA) Scholarship, Yonsei University
Jan 2023, Academic Research Fellowship (ARF), Brain Korea 21 (BK21) Program, Yonsei University
Nov 2022, Graduate Student Research Assistantship (GSRA) Scholarship, Yonsei University
Sep 2022, Academic Research Fellowship (ARF), Brain Korea 21 (BK21) Program, Yonsei University
Jul 2022, Best Paper Award, Yonsei University (Best paper in Dept. of Artificial Intelligence) [link]
Apr 2022, Graduate Student Research Assistantship (GSRA) Scholarship, Yonsei University
Feb 2021, Best Paper Award, the 23rd Korea Conference on Software Engineering (KCSE 2021)
Jun 2019, Best Paper Award, Korean Institute of Information Technology
Mar 2018 – Dec 2019, National Scholarship for Science and Engineering, KOSAF (Korea Student Aid Foundation)
Full tuition exemptions for 8 semesters.
Talks
Dec 2023, Talk on Top-conference session, Korea Software Congress (KSC 2023)
Jun 2023, Talk on 1st Seminar held by Graph User Group (GUG).
Jun 2023, Talk on Top-conference session, Korea Computer Congress (KCC 2023)
Feb 2023, Talk on 2023 KSIAM AI Winter School held by Korean Society for Industrial and Applied Mathematics (KSIAM). [Slides]
Oct 2022, Talk on 1st Workshop on AI held by Yonsei Univ. [Slides][Poster]
Aug 2022, Poster presentation for AIGS Symposium 2022 held at the COEX Grand Ballroom. [Poster]
Jul 2022, Invited talk on Top-conference session, Korea Computer Congress (KCC 2022) [Slides]
Nov 2021, "Graph-based Collaborative Filtering and Neural ODEs", Korean Artificial Intelligence Association (KAIA) | LG AI Research, (This talk is part of a tutorial called "Deep Learning Inspired by Differential Equation". ) [Slides]
Academic Services
Reviewer or Program Committee Member for Conference
ICLR 2025
AISTATS 2025
NeurIPS 2024 (Top Reviewer Award)
AAAI 2024, 2025
IJCAI 2024, 2025
WSDM 2025
CIKM 2024
SDM 2024
KDD 2023, 2024, 2025
ICDM 2021, 2022
NeurIPS 2024 Workshop ML4PS
AAAI 2024 Workshop, 4th Workshop on Graphs and More Complex Structures for Learning and Reasoning (GCLR)
Reviewer for Journal
Neurocomputing 2024 (2 times)
IEEE Transactions on Image Processing (TIP) 2024
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023, 2024 (2 times)
Applied Soft Computing 2024 (4 times)
Applied Artificial Intelligence 2023 (2 times)
IEEE Transactions on Intelligent Transportation Systems (TIST) 2022