About

I am a Ph.D. candidate 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.

Selected Publications (See all)

• 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

• 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.

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

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

• LoG 2022, 2023, 2024 (Top Reviewer Award)

• 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

• 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)

• Journal of Intelligent & Fuzzy Systems 2024

• Applied Soft Computing 2024 (11 times)

• Applied Artificial Intelligence 2023 (2 times)

• IEEE Transactions on Intelligent Transportation Systems (TIST) 2022