Jae-Gil Lee - RankMe

154 papers A* 41A 9B 4Misc 1Journal 69Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TimelyFreeze: Adaptive Parameter Freezing Mechanism for Pipeline Parallelism. CoRR Seonghye Cho, Jaemin Han, HyunJin Kim, Euisoo Jung, Jae-Gil Lee
2025	A*	`conf`	Active Learning for Continual Learning: Keeping the Past Alive in the Present. ICLR Jaehyun Park, Dongmin Park, Jae-Gil Lee
2025	J	`jnl`	Active Learning for Continual Learning: Keeping the Past Alive in the Present. CoRR Jaehyun Park, Dongmin Park, Jae-Gil Lee
2025	A*	`conf`	Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. WWW Sungwon Park, Sungwon Han, Xing Xie, Jae-Gil Lee, Meeyoung Cha
2025	—	`conf`	Bi-Modal Learning for Networked Time Series. KDD (2) Youngeun Nam, Jihye Na, Susik Yoon, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
2025	—	`ed.`	Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part II DASFAA (2) Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2025	—	`ed.`	Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part III DASFAA (3) Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2025	J	`jnl`	Large language models are zero-shot point-of-interest recommenders. Data Min. Knowl. Discov. Joeun Kim, Youngjin Seo, Yeonsoo Kim, Junhyeok Kang, Jeeho Shin, Patara Trirat, Jae-Gil Lee
2025	J	`jnl`	Learning Multidimensional Urban Poverty Representation with Satellite Imagery. CoRR Sungwon Park, Sumin Lee, Jihee Kim, Jae-Gil Lee, Meeyoung Cha, Jeasurk Yang, DongHyun Ahn
2025	J	`jnl`	Leveraging Smartphone Human Interaction Routine Behavior Task Mining and Modeling for Daily Stress Monitoring. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Hansoo Lee, Taehyeon Park, Youngji Koh, Jae-Gil Lee, Uichin Lee
2025	—	`conf`	MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices. EMNLP (Findings) Patara Trirat, Jae-Gil Lee
2025	J	`jnl`	MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices. CoRR Patara Trirat, Jae-Gil Lee
2025	—	`conf`	Mitigating Source Label Dependency in Time-Series Domain Adaptation under Label Shifts. KDD (2) Jihye Na, Youngeun Nam, Junhyeok Kang, Jae-Gil Lee
2025	A	`conf`	Mobility Networked Time-Series Forecasting Benchmark Datasets. ICWSM Jihye Na, Youngeun Nam, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee
2025	J	`jnl`	PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series. IEEE Trans. Emerg. Top. Comput. Intell. Patara Trirat, Jae-Gil Lee
2025	A*	`conf`	RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models. ICLR Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
2025	J	`jnl`	References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation. CoRR Doyoung Kim, Youngjun Lee, Joeun Kim, Jihwan Bang, Hwanjun Song, Susik Yoon, Jae-Gil Lee
2025	J	`jnl`	TFAS: zero-shot NAS for general time-series analysis with time-frequency aware scoring. Mach. Learn. Patara Trirat, Jae-Gil Lee
2025	A*	`conf`	VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting. AAAI Junhyeok Kang, Yooju Shin, Jae-Gil Lee
2025	J	`jnl`	VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting. CoRR Junhyeok Kang, Yooju Shin, Jae-Gil Lee
2024	A*	`conf`	Active Prompt Learning in Vision Language Models. CVPR Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee
2024	A*	`conf`	Adaptive Shortcut Debiasing for Online Continual Learning. AAAI Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
2024	A*	`conf`	Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. WWW Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
2024	J	`jnl`	Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting. CoRR Byunghyun Kim, Jae-Gil Lee
2024	—	`ed.`	Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part I DASFAA (1) Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024	—	`ed.`	Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part IV DASFAA (4) Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024	—	`ed.`	Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part V DASFAA (5) Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024	—	`ed.`	Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VI DASFAA (6) Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024	—	`ed.`	Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII DASFAA (7) Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu
2024	A*	`conf`	Exploiting Representation Curvature for Boundary Detection in Time Series. NeurIPS Yooju Shin, Jaehyun Park, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee
2024	A*	`conf`	One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. ICML Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
2024	A*	`conf`	Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. KDD Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee
2024	A*	`conf`	Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. AAAI Hwanjun Song, Minseok Kim, Jae-Gil Lee
2024	J	`jnl`	Universal Time-Series Representation Learning: A Survey. CoRR Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee
2023	J	`jnl`	Active Prompt Learning in Vision Language Models. CoRR Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee
2023	J	`jnl`	Adaptive Shortcut Debiasing for Online Continual Learning. CoRR Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
2023	A*	`conf`	AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. AAAI Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee
2023	A*	`conf`	Context Consistency Regularization for Label Sparsity in Time Series. ICML Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee
2023	—	`conf`	Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses. ECML/PKDD (6) Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee
2023	J	`jnl`	Data collection and quality challenges in deep learning: a data-centric AI perspective. VLDB J. Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
2023	J	`jnl`	Learning From Noisy Labels With Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
2023	J	`jnl`	MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction. IEEE Trans. Intell. Transp. Syst. Patara Trirat, Susik Yoon, Jae-Gil Lee
2023	J	`jnl`	One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. CoRR Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
2023	A*	`conf`	Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. NeurIPS Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
2023	J	`jnl`	Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. CoRR Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
2023	—	`conf`	Temporal Convolutional Network-Based Time-Series Segmentation. BigComp Hyangsuk Min, Jae-Gil Lee
2023	J	`jnl`	Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise. CoRR Hwanjun Song, Minseok Kim, Jae-Gil Lee
2022	J	`jnl`	A Bird's Eye View of the 4th Industrial Revolution Technologies. IEEE Data Eng. Bull. Kyu-Young Whang, Jae-Gil Lee, Hyo-Sang Lim, Inju Na
2022	A*	`conf`	Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream. KDD Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee
2022	J	`jnl`	Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream. CoRR Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee
2022	A*	`conf`	COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. AAAI Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee
2022	A*	`conf`	Coherence-based Label Propagation over Time Series for Accelerated Active Learning. ICLR Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
2022	A*	`conf`	Meta-Learning for Online Update of Recommender Systems. AAAI Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
2022	J	`jnl`	Meta-Learning for Online Update of Recommender Systems. CoRR Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
2022	A*	`conf`	Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. NeurIPS Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
2022	J	`jnl`	Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. CoRR Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
2022	A*	`conf`	Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. ICDM Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee
2021	A*	`conf`	DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. WWW Patara Trirat, Jae-Gil Lee
2021	J	`jnl`	Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective. CoRR Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
2021	A	`conf`	Exploiting Scene Depth for Object Detection with Multimodal Transformers. BMVC Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang
2021	A*	`conf`	Machine Learning Robustness, Fairness, and their Convergence. KDD Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang
2021	—	`conf`	Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries. SIGMOD Conference Susik Yoon, Yooju Shin, Jae-Gil Lee, Byung Suk Lee
2021	A*	`conf`	PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. AAAI Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee
2021	A*	`conf`	Robust Learning by Self-Transition for Handling Noisy Labels. KDD Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
2021	A*	`conf`	Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
2020	J	`jnl`	A systematic framework of predicting customer revisit with in-store sensors. Knowl. Inf. Syst. Sundong Kim, Jae-Gil Lee
2020	J	`jnl`	Accurate and Fast Federated Learning via IID and Communication-Aware Grouping. CoRR Jin-Woo Lee, Jaehoon Oh, Yooju Shin, Jae-Gil Lee, Se-Young Yoon
2020	J	`jnl`	Ada-boundary: accelerating DNN training via adaptive boundary batch selection. Mach. Learn. Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee
2020	J	`jnl`	An effective approach to enhancing a focused crawler using Google. J. Supercomput. Jae-Gil Lee, Donghwan Bae, Sansung Kim, Jungeun Kim, Mun Yong Yi
2020	A	`conf`	Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. CIKM Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
2020	J	`jnl`	DTranNER: biomedical named entity recognition with deep learning-based label-label transition model. BMC Bioinform. S. K. Hong, Jae-Gil Lee
2020	J	`jnl`	Data Collection and Quality Challenges for Deep Learning. Proc. VLDB Endow. Steven Whang, Jae-Gil Lee
2020	J	`jnl`	Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices. Pervasive Mob. Comput. Gwangseon Jang, Jin-Woo Lee, Jae-Gil Lee, Yunxin Liu
2020	J	`jnl`	Effect of garbage collection in iterative algorithms on Spark: an experimental analysis. J. Supercomput. Minseo Kang, Jae-Gil Lee
2020	J	`jnl`	Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection. ACM Trans. Intell. Syst. Technol. Jungeun Kim, Jae-Gil Lee, Byung Suk Lee, Jiajun Liu
2020	J	`jnl`	Hello There! Is Now a Good Time to Talk?: Opportune Moments for Proactive Interactions with Smart Speakers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Narae Cha, Auk Kim, Cheul Young Park, Soowon Kang, Mingyu Park, Jae-Gil Lee, Sangsu Lee, Uichin Lee
2020	A*	`conf`	Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. KDD Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee
2020	J	`jnl`	Learning from Noisy Labels with Deep Neural Networks: A Survey. CoRR Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2020	—	`conf`	Revisit Prediction by Deep Survival Analysis. PAKDD (2) Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
2020	A*	`conf`	TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. WWW Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
2020	J	`jnl`	TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. CoRR Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee
2020	J	`jnl`	Two-Phase Learning for Overcoming Noisy Labels. CoRR Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2020	A*	`conf`	Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping. KDD Susik Yoon, Jae-Gil Lee, Byung Suk Lee
2019	A*	`conf`	CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing. ICDE Yooju Shin, Susik Yoon, Patara Trirat, Jae-Gil Lee
2019	J	`jnl`	Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection. CoRR Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
2019	J	`jnl`	LinkBlackHole IEEE Trans. Knowl. Data Eng. Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee
2019	A*	`conf`	LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract). ICDE Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee
2019	J	`jnl`	MLAT: Metric Learning for kNN in Streaming Time Series. CoRR Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee
2019	J	`jnl`	Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation. Pervasive Mob. Comput. Jin-Woo Lee, Gwangseon Jang, Hohyun Jung, Jae-Gil Lee, Uichin Lee
2019	J	`jnl`	NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing. Proc. VLDB Endow. Susik Yoon, Jae-Gil Lee, Byung Suk Lee
2019	J	`jnl`	Prestopping: How Does Early Stopping Help Generalization against Label Noise? CoRR Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2019	A*	`conf`	SELFIE: Refurbishing Unclean Samples for Robust Deep Learning. ICML Hwanjun Song, Minseok Kim, Jae-Gil Lee
2018	J	`jnl`	Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation. CoRR Younghun Song, Jae-Gil Lee
2018	J	`jnl`	Introduction to the special issue on Data Science in Asia (with PAKDD'2017). Int. J. Data Sci. Anal. Longbing Cao, Jae-Gil Lee, Xuemin Lin
2018	—	`conf`	RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning. SIGMOD Conference Hwanjun Song, Jae-Gil Lee
2018	B	`conf`	TED Talk Recommender Using Speech Transcripts. ASONAM Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee
2018	J	`jnl`	TED Talk Recommender Using Speech Transcripts. CoRR Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee
2018	A*	`conf`	Utilizing In-store Sensors for Revisit Prediction. ICDM Sundong Kim, Jae-Gil Lee
2017	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I PAKDD (1) Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon
2017	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II PAKDD (2) Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon
2017	J	`jnl`	An experimental analysis of limitations of MapReduce for iterative algorithms on Spark. Clust. Comput. Minseo Kang, Jae-Gil Lee
2017	J	`jnl`	Boundary image matching supporting partial denoising using time-series matching techniques. Multim. Tools Appl. Bum-Soo Kim, Yang-Sae Moon, Jae-Gil Lee
2017	J	`jnl`	Developing information quality assessment framework of presentation slides. J. Inf. Sci. Seongchan Kim, Jae-Gil Lee, Mun Yong Yi
2017	J	`jnl`	Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs. ACM Trans. Intell. Syst. Technol. Jungeun Kim, Jae-Gil Lee, Sungsu Lim
2017	—	`conf`	Efficient fall detection based on event pattern matching in image streams. BigComp Hyun Gook Kang, Minseo Kang, Jae-Gil Lee
2017	A*	`conf`	PAMAE: Parallel KDD Hwanjun Song, Jae-Gil Lee, Wook-Shin Han
2016	J	`jnl`	A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments. IEEE Trans. Knowl. Data Eng. Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Jae-Gil Lee, Raja Jurdak
2016	J	`jnl`	A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments. CoRR Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Jae-Gil Lee, Raja Jurdak
2016	—	`conf`	A comparative analysis of iterative MapReduce systems. EDB Minseo Kang, Jae-Gil Lee
2016	A	`conf`	An Experimental Comparison of Iterative MapReduce Frameworks. CIKM Haejoon Lee, Minseo Kang, Sun-Bum Youn, Jae-Gil Lee, YongChul Kwon
2016	A*	`conf`	BlackHole: Robust community detection inspired by graph drawing. ICDE Sungsu Lim, Junghoon Kim, Jae-Gil Lee
2016	Misc	`conf`	Looking back on the current day: interruptibility prediction using daily behavioral features. UbiComp Minsoo Choy, Daehoon Kim, Jae-Gil Lee, Heeyoung Kim, Hiroshi Motoda
2016	J	`jnl`	Parallel community detection on large graphs with MapReduce and GraphChi. Data Knowl. Eng. Seunghyeon Moon, Jae-Gil Lee, Minseo Kang, Minsoo Choy, Jin-Woo Lee
2016	A	`conf`	SentiWorld: Understanding Emotions between Countries Based on Tweets. ICWSM Sang-Jun Yea, Sejin Kim, John-Michaël To, Jae-Gil Lee
2016	A*	`conf`	Topical influence modeling via topic-level interests and interactions on social curation services. ICDE Daehoon Kim, Jae-Gil Lee, Byung Suk Lee
2015	J	`jnl`	A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness. IEEE Trans. Knowl. Data Eng. Jae-Gil Lee, Jiawei Han, Xiaolei Li
2015	J	`jnl`	Community Detection in Multi-Layer Graphs: A Survey. SIGMOD Rec. Jungeun Kim, Jae-Gil Lee
2015	J	`jnl`	DB-IR integration using tight-coupling in the Odysseus DBMS. World Wide Web Kyu-Young Whang, Jae-Gil Lee, Min-Jae Lee, Wook-Shin Han, Min-Soo Kim, Jun-Sung Kim
2015	J	`jnl`	Geospatial Big Data: Challenges and Opportunities. Big Data Res. Jae-Gil Lee, Minseo Kang
2015	—	`conf`	SocialKeyboard: Proofreading Everyday Writings in Mobile Phones. CHI Extended Abstracts Jin-Woo Lee, Joohyun Kim, Uichin Lee, Jae-Gil Lee
2015	—	`conf`	Triangle counting in networks using a multi-level branching technique. BigComp Jungeun Kim, Minseo Kang, Sungsu Lim, Jae-Gil Lee
2014	A	`conf`	Glaucus: Exploiting the Wisdom of Crowds for Location-Based Queries in Mobile Environments. ICWSM Minsoo Choy, Jae-Gil Lee, Gahgene Gweon, Daehoon Kim
2014	J	`jnl`	Joins on Encoded and Partitioned Data. Proc. VLDB Endow. Jae-Gil Lee, Gopi K. Attaluri, Ronald Barber, Naresh Chainani, Oliver Draese, Frederick Ho, Stratos Idreos, Min-Soo Kim, Sam Lightstone, Guy M. Lohman, Konstantinos Morfonios, Keshava Murthy, Ippokratis Pandis, Lin Qiao, Vijayshankar Raman, Vincent Kulandai Samy, Richard Sidle, Knut Stolze, Liping Zhang
2014	A*	`conf`	LinkSCAN*: Overlapping community detection using the link-space transformation. ICDE Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, Jae-Gil Lee
2014	A	`conf`	Quality-Based Automatic Classification for Presentation Slides. ECIR Seongchan Kim, Wonchul Jung, Keejun Han, Jae-Gil Lee, Mun Yong Yi
2014	—	`conf`	Scalable community detection from networks by computing edge betweenness on MapReduce. BigComp Seunghyeon Moon, Jae-Gil Lee, Minseo Kang
2013	A	`conf`	Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-Based Question Answering Services. ICWSM Juyup Sung, Jae-Gil Lee, Uichin Lee
2013	—	`conf`	Facilitating developer-user interactions with mobile app review digests. CHI Extended Abstracts Jeungmin Oh, Daehoon Kim, Uichin Lee, Jae-Gil Lee, Junehwa Song
2013	—	`conf`	The Influence in Twitter: Are They Really Influenced? BSI@PAKDD/BSIC@IJCAI Juyup Sung, Seunghyeon Moon, Jae-Gil Lee
2013	A	`conf`	Understanding the Difficulty Factors for Learning Materials: A Qualitative Study. AIED Keejun Han, Mun Yong Yi, Gahgene Gweon, Jae-Gil Lee
2012	J	`jnl`	Business Analytics in (a) Blink. IEEE Data Eng. Bull. Ronald Barber, Peter Bendel, Marco Czech, Oliver Draese, Frederick Ho, Namik Hrle, Stratos Idreos, Min-Soo Kim, Oliver Koeth, Jae-Gil Lee, Tianchao Tim Li, Guy M. Lohman, Konstantinos Morfonios, René Müller, Keshava Murthy, Ippokratis Pandis, Lin Qiao, Vijayshankar Raman, Richard Sidle, Knut Stolze, Sandor Szabo
2012	B	`conf`	On Finding Fine-Granularity User Communities by Profile Decomposition. ASONAM Seulki Lee, Minsam Ko, Keejun Han, Jae-Gil Lee
2011	—	`conf`	Blink: Not Your Father's Database! BIRTE Ronald Barber, Peter Bendel, Marco Czech, Oliver Draese, Frederick Ho, Namik Hrle, Stratos Idreos, Min-Soo Kim, Oliver Koeth, Jae-Gil Lee, Tianchao Tim Li, Guy M. Lohman, Konstantinos Morfonios, René Müller, Keshava Murthy, Ippokratis Pandis, Lin Qiao, Vijayshankar Raman, Sandor Szabo, Richard Sidle, Knut Stolze
2011	J	`jnl`	Mining Discriminative Patterns for Classifying Trajectories on Road Networks. IEEE Trans. Knowl. Data Eng. Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hong Cheng
2011	J	`jnl`	MoveMine: Mining moving object data for discovery of animal movement patterns. ACM Trans. Intell. Syst. Technol. Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, Roland Kays
2010	—	`conf`	Incremental Clustering for Trajectories. DASFAA (2) Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han
2010	—	`conf`	MoveMine: mining moving object databases. SIGMOD Conference Zhenhui Li, Ming Ji, Jae-Gil Lee, Lu An Tang, Yintao Yu, Jiawei Han, Roland Kays
2010	J	`jnl`	Tightly-coupled spatial database features in the Odysseus/OpenGIS DBMS for high-performance. GeoInformatica Kyu-Young Whang, Jae-Gil Lee, Min-Soo Kim, Min-Jae Lee, Ki-Hoon Lee, Wook-Shin Han, Jun-Sung Kim
2009	A*	`conf`	Temporal Outlier Detection in Vehicle Traffic Data. ICDE Xiaolei Li, Zhenhui Li, Jiawei Han, Jae-Gil Lee
2008	—	`conf`	Sampling cube: a framework for statistical olap over sampling data. SIGMOD Conference Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Yizhou Sun
2008	J	`jnl`	Structural optimization of a full-text VLDB J. Min-Soo Kim, Kyu-Young Whang, Jae-Gil Lee, Min-Jae Lee
2008	A*	`conf`	Trajectory Outlier Detection: A Partition-and-Detect Framework. ICDE Jae-Gil Lee, Jiawei Han, Xiaolei Li
2007	A*	`conf`	Odysseus: a High-Performance ORDBMS Tightly-Coupled with Spatial Database Features. ICDE Kyu-Young Whang, Jae-Gil Lee, Min-Soo Kim, Min-Jae Lee, Ki-Hoon Lee
2007	J	`jnl`	The dynamic predicate: integrating access control with query processing in XML databases. VLDB J. Jae-Gil Lee, Kyu-Young Whang, Wook-Shin Han, Il-Yeol Song
2007	B	`conf`	Traffic Density-Based Discovery of Hot Routes in Road Networks. SSTD Xiaolei Li, Jiawei Han, Jae-Gil Lee, Hector Gonzalez
2007	—	`conf`	Trajectory clustering: a partition-and-group framework. SIGMOD Conference Jae-Gil Lee, Jiawei Han, Kyu-Young Whang
2007	J	`jnl`	n-Gram/2L-approximation: a two-level n-gram inverted index structure for approximate string matching. Comput. Syst. Sci. Eng. Min-Soo Kim, Kyu-Young Whang, Jae-Gil Lee
2006	B	`conf`	A Practitioner's Approach to Normalizing XQuery Expressions. DASFAA Ki-Hoon Lee, Seoyoung Kim, Euijong Whang, Jae-Gil Lee
2006	—	`conf`	Continuous query processing in data streams using duality of data and queries. SIGMOD Conference Hyo-Sang Lim, Jae-Gil Lee, Min-Jae Lee, Kyu-Young Whang, Il-Yeol Song
2006	J	`jnl`	Secure query processing against encrypted XML data using Query-Aware Decryption. Inf. Sci. Jae-Gil Lee, Kyu-Young Whang
2006	J	`jnl`	Special issue: Hippocratic XML databases: a model and an access control mechanism. Comput. Syst. Sci. Eng. Jae-Gil Lee, Kyu-Young Whang, Wook-Shin Han, Il-Yeol Song
2005	A*	`conf`	Odysseus: A High-Performance ORDBMS Tightly-Coupled with IR Features. ICDE Kyu-Young Whang, Min-Jae Lee, Jae-Gil Lee, Min-Soo Kim, Wook-Shin Han
2005	A*	`conf`	n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure. VLDB Min-Soo Kim, Kyu-Young Whang, Jae-Gil Lee, Min-Jae Lee
2004	J	`jnl`	Transformation-based temporal aggregation using order-based buffer replacement strategy. Comput. Syst. Sci. Eng. Joon-Ho Woo, Byung Suk Lee, Min-Jae Lee, Jae-Gil Lee, Kyu-Young Whang