I am a postdoctoral researcher in the Department of Computer Science at UIUC, working with Prof. Jiawei Han. I obtained my Ph.D. degree at KAIST under the supervision of Prof. Jae-Gil Lee. My research interests cover a wide range of topics in data mining and machine learning. Specifically, I am interested in learning and mining knowledge from unstructured and evolving data streams.
Email: susik{@}illinois{.}edu | Google Scholar | Github | LinkedIn | CV (last update: May 19th, 2022)
Recent Publications (full list)
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream (KDD22)
Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee | To appear
Coherence-based Label Propagation over Time Series for Accelerated Active Learning (ICLR22)
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters (WWW22)
Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu | [Paper]
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies (AAAI22)
Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries (SIGMOD21)
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping (KDD20)
Experiences
2021.09 - Current Postdoctoral Researcher, Data Mining Group, Computer Science, UIUC (Advisor: Prof. Jiawei Han)
2021.03 - 2021.08 Research Assistant Professor, Institute for Security Convergence Research, KAIST
2015.03 - 2021.02 Researcher, Data Mining Lab, KAIST (Advisor: Prof. Jae-Gil Lee)
Services
Journal reviewer: VLDBJ, TKDE, DKE
Program committee: KDD22, AAAI22, KDD21 ODD (Outlier Detection and Description Workshop)