• I am an assistant professor in the Department of Industrial Engineering and Systems and also affiliated with the Graduate School of AI at KAIST.
  • Before joining KAIST, I was a postdoctoral research fellow in Computer Science at University of Illinois at Urbana-Champaign. I obtained my Ph.D degree in Computer Science and Engineering from Pohang University of Science and Technology (POSTECH), and B.S. in Computer Science from Sogang University.

Research Interest

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  • Multimodal Data Mining, Applied Machine Learning, Deep Learning
    • Mining meaningful knowledge from multimodal data to develop artificial intelligence solutions for various real-world applications across different disciplines.
    • Keywords: Multimodal user behavior analysis, Machine learning for graphs, Graph neural network, Graph representation learning
    • Application domains: Recommendation system, Social network analysis, Fraud detection, Sentiment analysis, Purchase/Click prediction, Anomaly detection, Knowlede-graph construction, Chemistry, Time-series and spatio-temporal anlaysis, etc.


  • I am actively seeking for passionate and self-motivated Ph.D. students, MS students, and postdocs. If you are interested, send me an email with your interests, CV, and transcript.
  • I am also looking for undergraduate students who are interested in doing internship in our lab, which will be open every summer and winter. If you are interested, send me an email with your interests, CV, and transcript.
    • Interns will get opportunities to study about research topics that our lab is focusing on, and participate in research projects with graduate students.
    • If you are interested in joining our lab, I strongly recommend you to do an internship before you apply.
  • There are three ways to join our lab. You can apply through 1) Department of Industrial Engineering and Systems or 2) Graduate School of Data Science or 3) Graduate School of AI.


  • (2022.05) A paper got accepted at KDD 2022.
  • (2022.04) Two papers got accepted at SIGIR 2022.
  • (2021.12) A paper got accepted at AAAI 2022.
  • (2021.09) A paper got accepted at ICDM 2021.
  • (2021.07) Call For Paper: Frontiers in Artificial Intelligence (Graph representation learning: Methods and Applications)
  • (2021.06) I gave a tutorial at 2021 대한산업공학회 춘계학술대회.
  • (2021.04) A paper got accepted at SIGIR 2021.
  • (2021.02) I gave a tutorial at 2021 한국인공지능학회 동계단기강좌 [Slide].
  • (2021.01) A paper got accepted at WWW 2021.
  • (2020.11) I joined KAIST as an assistant professor.
  • (2020.09) A paper got accepted at ICDM 2020.
  • (2020.02) A paper got accepted at KDD 2020 (research track).
  • (2019.11) A paper got accepted at AAAI 2020.
  • (2019.05) Two papers got accepted at CIKM 2019.
  • (2019.01) I joined University of Illinois at Urbana-Champaign as a postdoctoral research fellow.
  • (2018.10) I successfully defended Ph.D thesis.

Selected Presentation Slide

Work Experience

  • KAIST (Korea Advanced Institute of Science and Technology), Daejeon, South Korea
    • Assistant Professor (2020.11 - Present)
  • University of Illinois at Urbana-Champaign, IL, USA
    • Postdoctoral Research Fellow in Computer Science Department (2019.3 - 2020.10)
    • Host: Prof. Jiawei Han
  • Microsoft Research, Beijing, China
  • NAVER, Seongnam, South Korea


  • POSTECH (Pohang University of Science and Technology)
    • Ph.D. in Computer Science and Engineering (2019)
    • Dissertation: Recommendation Framework via Matrix Factorization and Translation
    • Advisor: Prof. Hwanjo Yu
  • Sogang University
    • B.S. in Computer Science and Engineering (2014)
    • Graduated with Honors (Magma Cum Laude)


  • KSE801: Recommender System and Machine Learning on Graphs
    • Fall 2021
  • CoE202: Basics of Artificial Intelligence
    • Fall 2021
  • IE343: Statistical Machine Learning
    • Spring 2021, 2022
  • KSE527: Deep Learning
    • Spring 2022


  • ICDM 2018 Travel Award (2018)
  • Award of excellence, Microsoft Research Asia Internship Program, Beijing, China (2017)
  • Naver Ph.D Fellowship (2016)
  • Top 1.1% in RecSys Challenge (2015)


Academic Services

Program Committee for

  • ACM International Web Search and Data Mining Conference (WSDM), 2023
  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
  • International Joint Conference on Artificial Intelligence (IJCAI), 2022
  • International Conference on Learning Representations (ICLR), 2022
  • Neural Information Processing Systems (NeurIPS), 2022
  • AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022
  • The Web Conference (WWW), 2020, 2021, 2022
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020, 2021, 2022
  • IEEE International Conference on Big Data (BigData) 2020, 2021, 2022
  • International Conference on Database Systems for Advanced Applications (DASFAA), 2021
  • The Web Conference (WWW) Poster Track, 2020
  • ACM International Conference on Information and Knowledge Management (CIKM) Short Paper Track, 2020
  • International Conference on Internet and Web Applications and Services (ICIW), 2017, 2018
  • Graph Learning @ TheWebConf, 2022
  • International Joint Conference on Artificial Intelligence (IJCAI) - Special Track on AI for Good, 2022

Journal Reviewer for

  • Journal of Computational Science, Elsevier
  • Journal of King Saud University, Elsevier
  • Reliability Engineering & System Safety, Elsevier
  • Applied Soft Computing, Elsevier
  • Data & Knowledge Engineering, Elsevier
  • Pattern Recognition, Elsevier
  • Information Sciences, Elsevier
  • Expert Systems with Applications, Elsevier
  • Computational and Structural Biotechnology Journal, Elsevier
  • Transactions on Asian and Low-Resource Language Information Processing, ACM
  • Applied Intelligence (APIN), Springer
  • GeoInformatica, Springer
  • ACM Transactions on Knowledge and Data Engineering (TKDE)
  • ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • IEEE Access
  • PLOS ONE, Public Library of Science
  • Concurrency and Computation: Practice and Experience, John Wiley and Sons Ltd
  • Applied Computational Intelligence and Soft Computing, Hindawi
  • Mathematical Problems in Engineering, Hindawi