Jeongwhan Choi (최정환)
Integrated Ph.D Student
BigDyL(Big Data Analytics Lab), Research Advisor: Prof. Noseong Park
News
🏅 Graph Neural Controlled Differential Equations for Traffic Forecasting was selected for Innovation Awards in Yonsei University.
🔝 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.
Research Interests
- Artificial Intelligence
Graph Neural Networks
Recommender Systems
Spatiotemporal Forecasting
Neural ODEs/CDEs/RDEs
- Software Engineering
Software Defect Prediction
SE for AI & AI for SE
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)
Educational Background
2020-Present, Integrated Ph.D. Student Dept. of Artificial Intelligence, Yonsei University
2016-2020, B. S. Dept. of Software Engineering, Jeonbuk National University
Awards
Jul 2022, Innovation Award, Yonsei University (Best paper in Dept. of Artificial Intelligence) [link]
대학원 혁신 우수 논문상 (학과우수상)
Feb 2021, Best Paper Awards, the 23rd Korea Conference on Software Engineering (KCSE 2021)
Jun 2019, Best Paper Awards, Korean Institute of Information Technology
2018, The National Scholarship for Science and Engineering, KOSAF(Korea Student Aid Foundation)
This scholarship supports undergraduates with strong academic performance in science and engineering, with the purpose of developing future leaders in those fields.
Talks
Jul 2022, Invited talk on Top-conference session, Korea Computer Congress (KCC 2022) [Slides]
Nov 2021, Graph-based Collaborative Filtering and Neural ODEs, 한국인공지능학회(KAIA) | LG AI Research, (This talk is part of a tutorial called "Deep Learning Inspired by Differential Equation". ) [Slides]
Service
Reviewer in IEEE Transactions on Intelligent Transportation Systems
External reviewer in ICDM 2021