| 2026 | ACL | QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval. | Joeun Kim, Seunghyouk Yoon, Xuan-Bach Le, Youngeun Nam, Doyoung Kim, Hwanjun Song, Jae-Gil Lee |
| 2025 | AAAI | VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting. | Junhyeok Kang, Yooju Shin, Jae-Gil Lee |
| 2025 | EMNLP | MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices. | Patara Trirat, Jae-Gil Lee |
| 2025 | ICLR | RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models. | Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee |
| 2025 | ICLR | Active Learning for Continual Learning: Keeping the Past Alive in the Present. | Jaehyun Park, Dongmin Park, Jae-Gil Lee |
| 2025 | ICWSM | Mobility Networked Time-Series Forecasting Benchmark Datasets. | Jihye Na, Youngeun Nam, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee |
| 2025 | KDD | Bi-Modal Learning for Networked Time Series. | Youngeun Nam, Jihye Na, Susik Yoon, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee |
| 2025 | KDD | Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts. | Jihye Na, Youngeun Nam, Junhyeok Kang, Jae-Gil Lee |
| 2025 | WWW | Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. | Sungwon Park, Sungwon Han, Xing Xie, Jae-Gil Lee, Meeyoung Cha |
| 2024 | AAAI | Adaptive Shortcut Debiasing for Online Continual Learning. | Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee |
| 2024 | AAAI | Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. | Hwanjun Song, Minseok Kim, Jae-Gil Lee |
| 2024 | CVPR | Active Prompt Learning in Vision Language Models. | Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee |
| 2024 | ICML | One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. | Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee |
| 2024 | KDD | Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. | Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee |
| 2024 | WWW | Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. | Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee |
| 2023 | AAAI | AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. | Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee |
| 2023 | ICML | Context Consistency Regularization for Label Sparsity in Time Series. | Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee |
| 2022 | AAAI | COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. | Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee |
| 2022 | AAAI | Meta-Learning for Online Update of Recommender Systems. | Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee |
| 2022 | ICDM | Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. | Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee |
| 2022 | ICLR | Coherence-based Label Propagation over Time Series for Accelerated Active Learning. | Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee |
| 2022 | KDD | Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream. | Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee |
| 2021 | AAAI | PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. | Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee |
| 2021 | BMVC | Exploiting Scene Depth for Object Detection with Multimodal Transformers. | Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang |
| 2021 | KDD | Machine Learning Robustness, Fairness, and their Convergence. | Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang |
| 2021 | KDD | Robust Learning by Self-Transition for Handling Noisy Labels. | Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee |
| 2021 | WWW | DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. | Patara Trirat, Jae-Gil Lee |
| 2021 | SIGMOD | Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries. | Susik Yoon, Yooju Shin, Jae-Gil Lee, Byung Suk Lee |
| 2020 | CIKM | Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. | Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee |
| 2020 | KDD | Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. | Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee |
| 2020 | KDD | Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping. | Susik Yoon, Jae-Gil Lee, Byung Suk Lee |
| 2020 | PAKDD | Revisit Prediction by Deep Survival Analysis. | Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee |
| 2020 | WWW | TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. | Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee |
| 2019 | ICDE | LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract). | Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee |
| 2019 | ICDE | CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing. | Yooju Shin, Susik Yoon, Patara Trirat, Jae-Gil Lee |
| 2019 | ICML | SELFIE: Refurbishing Unclean Samples for Robust Deep Learning. | Hwanjun Song, Minseok Kim, Jae-Gil Lee |
| 2018 | ICDM | Utilizing In-store Sensors for Revisit Prediction. | Sundong Kim, Jae-Gil Lee |
| 2018 | SIGMOD | RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning. | Hwanjun Song, Jae-Gil Lee |
| 2017 | KDD | PAMAE: Parallel | Hwanjun Song, Jae-Gil Lee, Wook-Shin Han |
| 2016 | CIKM | An Experimental Comparison of Iterative MapReduce Frameworks. | Haejoon Lee, Minseo Kang, Sun-Bum Youn, Jae-Gil Lee, YongChul Kwon |
| 2016 | CIKM | Untitled record | Ilyeop Yi, Jae-Gil Lee, Kyu-Young Whang |
| 2016 | ICDE | Topical influence modeling via topic-level interests and interactions on social curation services. | Daehoon Kim, Jae-Gil Lee, Byung Suk Lee |
| 2016 | ICDE | BlackHole: Robust community detection inspired by graph drawing. | Sungsu Lim, Junghoon Kim, Jae-Gil Lee |
| 2016 | ICWSM | SentiWorld: Understanding Emotions between Countries Based on Tweets. | Sang-Jun Yea, Sejin Kim, John-Michal To, Jae-Gil Lee |
| 2015 | CHI | SocialKeyboard: Proofreading Everyday Writings in Mobile Phones. | Jin-Woo Lee, Joohyun Kim, Uichin Lee, Jae-Gil Lee |
| 2015 | HCI | An Approach to Spatial Visualizing Method for Information Structure to Enhance Remember to Look. | Jae-Gil Lee, Dong-Hee Shin |
| 2015 | HRI | Trust In Unmanned Driving System. | Jae-Gil Lee, Jihyang Gu, Dong-Hee Shin |
| 2014 | ECIR | Quality-Based Automatic Classification for Presentation Slides. | Seongchan Kim, Wonchul Jung, Keejun Han, Jae-Gil Lee, Mun Yong Yi |
| 2014 | HCI | Empirical Analysis of Changes in Human Creativity in People Who Work with Humanoid Robots and Their Avatars. | Doori Jo, Jae-Gil Lee, Kun Chang Lee |
| 2014 | HCI | A New Approach to Exploring Spatiotemporal Space in the Context of Social Network Services. | Jae-Gil Lee, Kun Chang Lee, Dong-Hee Shin |
| 2014 | ICDE | LinkSCAN*: Overlapping community detection using the link-space transformation. | Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, Jae-Gil Lee |
| 2014 | ICWSM | Glaucus: Exploiting the Wisdom of Crowds for Location-Based Queries in Mobile Environments. | Minsoo Choy, Jae-Gil Lee, Gahgene Gweon, Daehoon Kim |
| 2013 | AIED | Understanding the Difficulty Factors for Learning Materials: A Qualitative Study. | Keejun Han, Mun Yong Yi, Gahgene Gweon, Jae-Gil Lee |
| 2013 | CHI | Facilitating developer-user interactions with mobile app review digests. | Jeungmin Oh, Daehoon Kim, Uichin Lee, Jae-Gil Lee, Junehwa Song |
| 2013 | ICWSM | Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-Based Question Answering Services. | Juyup Sung, Jae-Gil Lee, Uichin Lee |
| 2013 | PAKDD | The Influence in Twitter: Are They Really Influenced? | Juyup Sung, Seunghyeon Moon, Jae-Gil Lee |
| 2010 | DASFAA | Incremental Clustering for Trajectories. | Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han |
| 2010 | SIGMOD | MoveMine: mining moving object databases. | Zhenhui Li, Ming Ji, Jae-Gil Lee, Lu An Tang, Yintao Yu, Jiawei Han, Roland Kays |
| 2009 | ICDE | Temporal Outlier Detection in Vehicle Traffic Data. | Xiaolei Li, Zhenhui Li, Jiawei Han, Jae-Gil Lee |
| 2008 | ICDE | Trajectory Outlier Detection: A Partition-and-Detect Framework. | Jae-Gil Lee, Jiawei Han, Xiaolei Li |
| 2008 | SIGMOD | Sampling cube: a framework for statistical olap over sampling data. | Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Yizhou Sun |
| 2007 | ICDE | Odysseus: a High-Performance ORDBMS Tightly-Coupled with Spatial Database Features. | Kyu-Young Whang, Jae-Gil Lee, Min-Soo Kim, Min-Jae Lee, Ki-Hoon Lee |
| 2007 | SIGMOD | Trajectory clustering: a partition-and-group framework. | Jae-Gil Lee, Jiawei Han, Kyu-Young Whang |
| 2006 | DASFAA | A Practitioner's Approach to Normalizing XQuery Expressions. | Ki-Hoon Lee, Seoyoung Kim, Euijong Whang, Jae-Gil Lee |
| 2006 | SIGMOD | Continuous query processing in data streams using duality of data and queries. | Hyo-Sang Lim, Jae-Gil Lee, Min-Jae Lee, Kyu-Young Whang, Il-Yeol Song |
| 2005 | ICDE | Odysseus: A High-Performance ORDBMS Tightly-Coupled with IR Features. | Kyu-Young Whang, Min-Jae Lee, Jae-Gil Lee, Min-Soo Kim, Wook-Shin Han |
| 2005 | VLDB | n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure. | Min-Soo Kim, Kyu-Young Whang, Jae-Gil Lee, Min-Jae Lee |