I am an assistant professor in the Department of Computer Science and Engineering at Korea University and leading the Data and Adaptive Intelligence Systems (DAIS) Lab. Before that, I was fortunate to work with Prof. Jiawei Han as a postdoc at UIUC and with Prof. Jae-Gil Lee as an assistant research professor as well as a Ph.D. student at KAIST. My research interests cover a wide range of topics in data mining and artificial intelligence; specifically, continuously learning from unstructured, evolving data with human knowledge to realize adaptive intelligence systems.
susik{@}korea.ac.kr | CV (2024.03.01)
Experiences
2024.03 - Current Assistant Professor, Computer Science, Korea University (DAIS Lab)
2021.09 - 2024.02 Postdoctoral Researcher, Data Mining Group, UIUC (Advisor: Prof. Jiawei Han)
2021.03 - 2021.08 Research Assistant Professor, Institute for Security Convergence Research, KAIST
2015.03 - 2021.02 Graduate Research Assistant, Data Mining Lab, KAIST (Advisor: Prof. Jae-Gil Lee)
Publications
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection [To appear]
Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
In Proc. Int'l Conf. on The Web Conference (WWW), May 2024
MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities [Paper]
Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han
In Int'l Conf. on Empirical Methods in Natural Language Processing (EMNLP Findings), Dec. 2023
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance [Paper]
Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han
In 61st Annual Meeting of the Association for Computational Linguistics (ACL Findings), July 2023
Context Consistency Regularization for Label Sparsity in Time Series [Paper]
Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee
In Proc. Int'l Conf. on Machine Learning (ICML), July 2023
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding [Paper]
Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han
In Proc. Int'l Conf. on Research and Development in Information Retrieval (SIGIR), July 2023
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream [Paper]
Susik Yoon, Hou Pong Chan, Jiawei Han
In Proc. Int'l Conf. on The Web Conference (WWW) , Apr. 2023
SCStory: Self-supervised and Continual Online Story Discovery [Paper]
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han
In Proc. Int'l Conf. on The Web Conference (WWW), Apr. 2023
MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction [Paper]
Patara Trirat, Susik Yoon, Jae-Gil Lee
In IEEE Transactions on Intelligent Transportation Systems (TITS), 2023
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation [Paper]
Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han
In Int'l Conf. on Empirical Methods in Natural Language Processing (EMNLP Findings), Dec. 2022
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases [Paper]
Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee
In Proc. 23rd IEEE International Conference on Data Mining (ICDM Short), Nov. 2022
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream [Paper][Slide][Code][Poster]
Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee
In Proc. 28th Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 2022
Coherence-based Label Propagation over Time Series for Accelerated Active Learning [Paper][Code]
Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
In Proc. 10th Int'l Conf. on Learning Representations (ICLR), Apr. 2022
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters [Paper]
Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
In Proc. Int'l Conf. on The Web Conference (WWW), Apr. 2022
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies [Paper][Code]
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee
In Proc. AAAI Conf. on Artificial Intelligence (AAAI), Feb. 2022
Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries [Paper][Slide][Code]
Susik Yoon, Yooju Shin, Jae-Gil Lee, Byung Suk Lee
In Proc. 2021 Int'l Conf. on Management of Data (SIGMOD), June 2021
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping [Paper][Slide][Poster][Code]
Susik Yoon, Jae-Gil Lee, Byung Suk Lee
In Proc. 26th Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 2020
NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing [Paper][Slide][Poster][Code]
Susik Yoon, Jae-Gil Lee, Byung Suk Lee
In Proc. 40th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. of The VLDB Endowment (PVLDB), Aug. 2019
MLAT: Metric Learning for kNN in Streaming Time Series [Paper][Slide][Poster]
Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee
In Proc. 5th Workshop on Mining and Learning from Time Series (MiLeTS) in conjunction with KDD, Aug. 2019
CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing [Paper]
Yooju Shin, Susik Yoon, Patara Trirat, Jae-Gil Lee
In Proc. 35th Int'l Conf. on Data Engineering (ICDE Demo), Macau, China, Apr. 2019
Social or Financial Goals? Comparative Analysis of User Behaviors in Couchsurfing and Airbnb [Paper]
Jiwon Jung*, Susik Yoon*, SeungHyun Kim*, SangKeun Park, Kun-Pyo Lee, Uichin Lee (* equal contribution).
In Proc. 2016 Int'l Conf. on Human Factors in Computing Systems (CHI Late-breaking work), May 2016
Services
Program Committee
The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2021(ODD workshop), 2022, 2023
The ACM Web Conference (WWW): 2024
The AAAI Conference on Artificial Intelligence (AAAI): 2022, 2023, 2024
The Annual Meeting of the Association for Computational Linguistics (ACL): 2023
The ACM International Conference on Research and Development in Information Retrieval (SIGIR): 2023(sub-reviewer)
The Conference on Empirical Methods in Natural Language Processing (EMNLP): 2022,2023
Journal Reviewer
The VLDB Journal (VLDBJ)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Data & Knowledge Engineering (DKE)
Knowledge-Based Systems (KBS)
IEEE Internet of Things Journal (IoT-J)
Talks
Special Seminar, Electronic & Information Research Information Center (EIRIC), September 2023 [Link]
CS/AI Seminar, Ulsan National Institute of Science and Technology (UNIST), March 2023
AI Colloquium, Gwangju Institute of Science and Technology (GIST), March 2023
Hyundai Vision Conference, Hyundai Motor Group, August 2022
Postdoc Seminar, Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC), February 2022
Data Science Group, Institute for Basic Science (IBS), March 2021
The Biannual KSE Student Colloquium, Korea Advanced Institute of Science & Technology (KAIST), January 2021
Invited Paper Presentation, Korea Software Congress (KSC), December 2020
TechTalk, NAVER, December 2020
The Biannual KSE Student Colloquium, Korea Advanced Institute of Science & Technology (KAIST), December 2019
Invited Paper Presentation, Korea Software Congress (KSC), December 2019