Ph.D. Candidate
BigDyL (Big Data Analytics Lab)
Dept. of Artificial Intelligence, School of Computing, College of Computing, Yonsei University
Email: jeongwhan.choi@yonsei.ac.kr
CV / CV of Failure / Google Scholar / Semantic Scholar / GitHub / X / LinkedIn / BlueSky / ResearchGate / ORCID / DBLP / Medium
I am a Ph.D. candidate at Yonsei University, currently 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 published multiple papers in prestigious venues including NeurIPS, ICML, ICLR, AAAI, IJCAI, CIKM, WSDM, SIGIR, WSDM, and ICDM. My research has been recognized through the Qualcomm Innovation Fellowship, and I have received Top Reviewer Awards at both NeurIPS 2024, LoG 2024, and KDD 2025. I will be serving as Web Chair for the upcoming CIKM 2025.
I work on developing advanced AI models with a focus on three main areas: (1) Graph Neural Networks & Differential Equations, (2) Recommender Systems & Collaborative Filtering, and (3) Spatiotemporal Forecasting & Applications.
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.
✌️ 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!
🪖 Feb 27, 2025 As a Ph.D. technical research personnel, I completed a military training program in February!
✍️ 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 Social Impact: Bridging Innovations in Finance, Social Media, and Crime Prevention Workshop at AAAI 2025.
🏆 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.
🔝 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!
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.
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)
Feb 2025, Merit Academic Paper Award, Yonsei University (Runner-up paper in Dept. of Artificial Intelligence) [link]
Dec 2024, Outstanding Reviewer (Top 10%), KDD 2025 (August Cycle).
Dec 2024, Qualcomm Innovation Fellowship Award (4M KRW, approx. 2.8K USD), 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.
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]
Conference Organizer
Web Chair: CIKM 2025
Reviewer or Program Committee Member for Conference
AI4TS workshop at SDM 2025
SIGIR 2025
ICLR 2025
AISTATS 2025
NeurIPS 2024 (Top Reviewer Award)
AAAI 2024, 2025
IJCAI 2024, 2025
WSDM 2025
CIKM 2024, 2025
SDM 2024
KDD 2023, 2024, 2025 August Track (Outstanding Reviewer), 2025 February Track
ICDM 2021, 2022
NeurIPS 2024 Workshop ML4PS
AI4TS workshop at AAAI 2025
AAAI 2024 Workshop, 4th Workshop on Graphs and More Complex Structures for Learning and Reasoning (GCLR)
Reviewer for Journal
Transactions on Machine Learning Research (TMLR) 2025 (2 times)
Knowledge-Based Systems 2025
Applied Economics Letters 2024
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, 2025 (13 times)
Applied Artificial Intelligence 2023 (2 times)
IEEE Transactions on Intelligent Transportation Systems (TIST) 2022, 2025 (2 times)
