CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory [Paper]

• Huijeong Son, Hyeongu Kang, Sunho Kim, Subeen Ho, Seongku Kang, Dongha Lee, Susik Yoon

• In Proc. Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 2026

MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphrase Extraction [To appear]

• Hyeongu Kang, Susik Yoon

• In Proc. Int'l Conf. on Research and Development in Information Retrieval (SIGIR), July 2026

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation [To appear]

• Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, SeongKu Kang

• In Proc. Int'l Conf. on Research and Development in Information Retrieval (SIGIR), July 2026

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths [To appear]

• Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee 

• In the 64th Annual Meeting of the Association for Computational Linguistics (ACL), July 2026 (Findings)

Back to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series Forecasting [Paper]

• Sunho Kim, Susik Yoon

• In Proc. Int'l Conf. on The Web Conference (WWW), Apr. 2026 (Short)

LMSC: Local Sketch Modularity Optimisation for Size-Constrained Community Search in Networks [To appear]

• Dahee Kim, Taejoon Han, Kaiyu Feng, Junghoon Kim, Susik Yoon

• In Proc. Int'l Conf. on Management of Data (SIGMOD), May 2026 

Metadata Meets LLMs: Constructing Knowledge-Rich Citation Networks with CoT-Enhanced Representations [Paper]

• Soohwan Jeong, Mingyu Choi, Joon-Young Kim, Susik Yoon+, and Sungsu Lim+

• In Proc. Int'l Conf. on Web Search and Data Mining (WSDM), Feb. 2026 (Short)

Sequence-aware Adaptive Graph Convolutional Recurrent Networks for Traffic Forecasting [Paper]

• Seunghoon Han, Hyewon Lee, Yoonhwan Lee, Sung-Soo Kim, Susik Yoon+, Sungsu Lim+

• In Knowledge-Based Systems (KBS), Dec. 2025 (SCI(E), IF: 7.6)

Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models [Paper][Poster]

• Yebin Lim, Susik Yoon

• In Proc. Int'l Conf. on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2025 (Findings)

An Analysis of City Image by Exploiting Social Media: Toward a Deeper Understanding of Multiple Characteristics and Their Temporal Changes using Machine Learning [Paper]

• Hyeonchoel Jeong, Bumsu Cho, Susik Yoon, Yun Wook Choo, Dookie Kim, Jungeun Kim

• In IEEE Transactions on Computational Social Systems (TCSS), Aug. 2025 (SCI(E), IF: 4.9)

Bi-Modal Learning for Networked Time Series [Paper]

• Youngeun Nam*, Jihye Na*, Susik Yoon, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee

• In Proc. Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 2025

HAETAE: In-domain Table Pretraining with Header Anchoring [Paper][Poster]

• Woojun Jung, Susik Yoon

• In Proc. Int'l Conf. on Research and Development in Information Retrieval (SIGIR), July 2025 (Short)

Mobility Networked Time-Series Forecasting Benchmark Datasets [Paper]

• Jihye Na*, Youngeun Nam*, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee

• In Proc. Int'l AAAI Conference on Web and Social Media (ICWSM), June 2025 

Exploiting Representation Curvature for Boundary Detection in Time Series [Paper]

• Yooju Shin, Jaehyun Park, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee

• In Proc. Int'l Conf. on Neural Information Processing Systems (NeurIPS), Dec. 2024 

Flexi-clique: Exploring Flexible and Sub-linear Clique Structures [Paper]

• Song Kim, Junghoon Kim, Susik Yoon, Jungeun Kim

• In Proc. Int'l Conf. on Information and Knowledge Management (CIKM), Oct. 2024 (Short) 

Online Drift Detection with Maximum Concept Discrepancy [Paper]

• Ke Wan, Yi Liang, Susik Yoon

• In Proc. Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 2024 

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning [Paper]

• Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee

• In Proc. Int'l Conf. on Machine Learning (ICML), July 2024 

Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection [Paper]

• 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), Dec. 2023 (Findings)

DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance [Paper]

• Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han

• In the 61st Annual Meeting of the Association for Computational Linguistics (ACL), July 2023 (Findings)

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  (SCI(E), IF: 9.5)

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), Dec. 2022 (Findings) 

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. IEEE Int'l Conference on Data Mining (ICDM), Nov. 2022 (Short) 

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. 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. 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. Int'l 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. 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. 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. 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. Int'l Conf. on Data Engineering (ICDE), Macau, China, Apr. 2019 (Demo)

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. Int'l Conf. on Human Factors in Computing Systems (CHI), May 2016 (Late-breaking work)