Hi! I am Susik Yoon. My research interests cover a wide range of topics in data mining and machine learning. Specifically, I am highly interested in learning and mining knowledge from unstructured and evolving data streams (e.g., anomaly detection, event detection, and text mining, etc). I recieved my Ph.D. at KAIST under the supervision of Prof. Jae-Gil Lee. I am currently a research assistant professor at KAIST. I am going to work as a postdoctoral researcher at UIUC with Prof. Jiawei Han from September 2021.

Email: susikyoon{@}kaist{.}ac{.}kr | Github | LinkedIn | CV

Selected Publications (full list)

  • Yoon, S., Shin Y., Lee, J., and Lee, B. S., Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries, In Proc. 2021 ACM Int'l Conf. on Management of Data (SIGMOD), June 2021. [Paper][Slide][Code][Video]

  • Yoon, S., Lee, J., and Lee, B. S., Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping, In Proc. 26th Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 2020. (Top conference, acceptance rate: 16.9%) [Paper][Slide][Poster][Code][Video(full/poster/promotion)]

  • Yoon, S., Lee, J., and Lee, B. S., NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing, In Proc. 40th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. of The VLDB Endowment (PVLDB), Aug. 2019. (Top conference, acceptance rate: 18.9%) [Paper][Slide][Poster][Code][Video]


Professional Experiences

  • 2021.09 - Current Postdoctoral Research Associate, Data Mining Group, Department of Computer Science, University of Illinois at Urbana-Champaign

  • 2021.03 - 2022.08 Research Assistant Professor, Institute for Security Convergence Research, KAIST

  • 2014.06 - 2014.08 Trainee, i2, Danish E-infrastructure Cooperation

  • 2013.06 - 2013.12 IT Intern, Infrastructure and Shared Services, General Electric Korea

  • 2010.06 - 2012.04 Computer Emergency Response Team, Defense Security Command, Ministry of National Defense

  • 2010.02 - 2010.05 Research Assistant, Nemo Partners Strategy Consulting Group

Research Projects

  • 2021.09 - Current A Framework For Online Event Mining in Massive Text Data Streams, National Research Foudation of Korea

  • 2018.07 - 2021.07 Machine Learning Technology for Real-Time Anomaly Detection in Semiconductor Processes, Samsung Electronics Co., Ltd

  • 2017.11 - 2021.07 Evolutionary Self-Learning for Multivariate Stream Big Data in Smart Factories, National Research Foundation of Korea

  • 2015.04 - 2020.02 Geospatial Big Data Management, Analysis and Service Platform Technology Development, Korea Agency for Infrastructure Technology Advancement/Ministry of Land, Infrastructure and Transport

Teaching Experiences

  • Teaching Assistant of KSE525: Data Mining and Knowledge Discovery in 2017 Spring, 2018 Spring, 2019 Spring

  • Teaching Assistant of Undergraduate Research Program in 2017 Summer/Fall


  • 2021.03. Invited Seminar, Data Science Group, Institute for Basic Science

  • 2020.12. Invited Paper Presentation, Korea Software Congress 2020

  • 2020.12. NAVER Techtalk

  • 2019.12. Invited Paper Presentation, Korea Software Congress 2019


  • 2021.01. Best Presentation Award, The Biannual KSE PhD Student Open Presentation

  • 2020.07. Best Paper Award, Strategic Collaboration Academic Program, Samsung Electronics

  • 2019.12. Best Presentation Award, The Biannual KSE Student Colloquium

  • 2017.06. Best Paper Award, Korea Computing Congress 2017