Jae-Gil Lee

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 91

Top Venues

Publications

Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
Adaptive Shortcut Debiasing for Online Continual Learning. AAAI (2024)
Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee
Universal Time-Series Representation Learning: A Survey. CoRR (2024)
Hwanjun Song, Minseok Kim, Jae-Gil Lee
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. AAAI (2024)
Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee
Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. KDD (2024)
Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. WWW (2024)
Hyangsuk Min, Jae-Gil Lee
Temporal Convolutional Network-Based Time-Series Segmentation. BigComp (2023)
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
Learning From Noisy Labels With Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
Data collection and quality challenges in deep learning: a data-centric AI perspective. VLDB J. 32 (4) (2023)
Patara Trirat, Susik Yoon, Jae-Gil Lee
MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction. IEEE Trans. Intell. Transp. Syst. 24 (4) (2023)
Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses. ECML/PKDD (6) (2023)
Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee
Context Consistency Regularization for Label Sparsity in Time Series. ICML (2023)
Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee
Active Prompt Learning in Vision Language Models. CoRR (2023)
Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. AAAI (2023)
Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. NeurIPS (2023)
Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. CoRR (2023)
Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. CoRR (2023)
Hwanjun Song, Minseok Kim, Jae-Gil Lee
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise. CoRR (2023)
Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
Adaptive Shortcut Debiasing for Online Continual Learning. CoRR (2023)
Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream. KDD (2022)
Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream. CoRR (2022)
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. AAAI (2022)
Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. NeurIPS (2022)
Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. CoRR (2022)
Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
Coherence-based Label Propagation over Time Series for Accelerated Active Learning. ICLR (2022)
Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. ICDM (2022)
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
Meta-Learning for Online Update of Recommender Systems. AAAI (2022)
Kyu-Young Whang, Jae-Gil Lee, Hyo-Sang Lim, Inju Na
A Bird's Eye View of the 4th Industrial Revolution Technologies. IEEE Data Eng. Bull. 45 (3) (2022)
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
Meta-Learning for Online Update of Recommender Systems. CoRR (2022)
Susik Yoon, Yooju Shin, Jae-Gil Lee, Byung Suk Lee
Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries. SIGMOD Conference (2021)
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
Robust Learning by Self-Transition for Handling Noisy Labels. KDD (2021)
Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang
Machine Learning Robustness, Fairness, and their Convergence. KDD (2021)
Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS (2021)
Patara Trirat, Jae-Gil Lee
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. WWW (2021)
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective. CoRR (2021)
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. AAAI (2021)
Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang
Exploiting Scene Depth for Object Detection with Multimodal Transformers. BMVC (2021)
S. K. Hong, Jae-Gil Lee
DTranNER: biomedical named entity recognition with deep learning-based label-label transition model. BMC Bioinform. 21 (1) (2020)
Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
Revisit Prediction by Deep Survival Analysis. PAKDD (2) (2020)
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. CIKM (2020)
Narae Cha, Auk Kim, Cheul Young Park, Soowon Kang, Mingyu Park, Jae-Gil Lee, Sangsu Lee, Uichin Lee
Hello There! Is Now a Good Time to Talk?: Opportune Moments for Proactive Interactions with Smart Speakers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (3) (2020)
Jin-Woo Lee, Jaehoon Oh, Yooju Shin, Jae-Gil Lee, Se-Young Yoon
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping. CoRR (2020)
Jungeun Kim, Jae-Gil Lee, Byung Suk Lee, Jiajun Liu
Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection. ACM Trans. Intell. Syst. Technol. 11 (4) (2020)
Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. CoRR (2020)
Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. WWW (2020)
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
Two-Phase Learning for Overcoming Noisy Labels. CoRR (2020)
Jae-Gil Lee, Donghwan Bae, Sansung Kim, Jungeun Kim, Mun Yong Yi
An effective approach to enhancing a focused crawler using Google. J. Supercomput. 76 (10) (2020)
Steven Whang, Jae-Gil Lee
Data Collection and Quality Challenges for Deep Learning. Proc. VLDB Endow. 13 (12) (2020)
Minseo Kang, Jae-Gil Lee
Effect of garbage collection in iterative algorithms on Spark: an experimental analysis. J. Supercomput. 76 (9) (2020)
Gwangseon Jang, Jin-Woo Lee, Jae-Gil Lee, Yunxin Liu
Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices. Pervasive Mob. Comput. 64 (2020)
Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. KDD (2020)
Susik Yoon, Jae-Gil Lee, Byung Suk Lee
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping. KDD (2020)
Sundong Kim, Jae-Gil Lee
A systematic framework of predicting customer revisit with in-store sensors. Knowl. Inf. Syst. 62 (3) (2020)
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
Learning from Noisy Labels with Deep Neural Networks: A Survey. CoRR (2020)
Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee
Ada-boundary: accelerating DNN training via adaptive boundary batch selection. Mach. Learn. 109 (9-10) (2020)
Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee
*: Robust Overlapping Community Detection Using Link Embedding. IEEE Trans. Knowl. Data Eng. 31 (11) (2019)
Hwanjun Song, Minseok Kim, Jae-Gil Lee
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning. ICML (2019)
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection. CoRR (2019)
Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee
MLAT: Metric Learning for kNN in Streaming Time Series. CoRR (2019)
Susik Yoon, Jae-Gil Lee, Byung Suk Lee
NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing. Proc. VLDB Endow. 12 (11) (2019)
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
Prestopping: How Does Early Stopping Help Generalization against Label Noise? CoRR (2019)
Jin-Woo Lee, Gwangseon Jang, Hohyun Jung, Jae-Gil Lee, Uichin Lee
Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation. Pervasive Mob. Comput. 60 (2019)
Yooju Shin, Susik Yoon, Patara Trirat, Jae-Gil Lee
CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing. ICDE (2019)
Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee
LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract). ICDE (2019)
Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee
TED Talk Recommender Using Speech Transcripts. ASONAM (2018)
Younghun Song, Jae-Gil Lee
Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation. CoRR (2018)
Sundong Kim, Jae-Gil Lee
Utilizing In-store Sensors for Revisit Prediction. ICDM (2018)
Longbing Cao, Jae-Gil Lee, Xuemin Lin
Introduction to the special issue on Data Science in Asia (with PAKDD'2017). Int. J. Data Sci. Anal. 6 (4) (2018)
Hwanjun Song, Jae-Gil Lee
RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning. SIGMOD Conference (2018)
Jaehoon Oh, Injung Lee, Yeon Seonwoo, Simin Sung, Ilbong Kwon, Jae-Gil Lee
TED Talk Recommender Using Speech Transcripts. CoRR (2018)
Bum-Soo Kim, Yang-Sae Moon, Jae-Gil Lee
Boundary image matching supporting partial denoising using time-series matching techniques. Multim. Tools Appl. 76 (6) (2017)
Seongchan Kim, Jae-Gil Lee, Mun Yong Yi
Developing information quality assessment framework of presentation slides. J. Inf. Sci. 43 (6) (2017)
Hwanjun Song, Jae-Gil Lee, Wook-Shin Han
-Medoids Clustering with High Accuracy and Efficiency. KDD (2017)
Minseo Kang, Jae-Gil Lee
An experimental analysis of limitations of MapReduce for iterative algorithms on Spark. Clust. Comput. 20 (4) (2017)
Jungeun Kim, Jae-Gil Lee, Sungsu Lim
Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs. ACM Trans. Intell. Syst. Technol. 8 (2) (2017)
Hyun Gook Kang, Minseo Kang, Jae-Gil Lee
Efficient fall detection based on event pattern matching in image streams. BigComp (2017)
Ilyeop Yi, Jae-Gil Lee, Kyu-Young Whang
: Adaptive Eager-Lazy Hybrid Evaluation of Event Patterns for Low Latency. CIKM (2016)
Sang-Jun Yea, Sejin Kim, John-Michaël To, Jae-Gil Lee
SentiWorld: Understanding Emotions between Countries Based on Tweets. ICWSM (2016)
Minseo Kang, Jae-Gil Lee
A comparative analysis of iterative MapReduce systems. EDB (2016)
Sungsu Lim, Junghoon Kim, Jae-Gil Lee
BlackHole: Robust community detection inspired by graph drawing. ICDE (2016)
Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Jae-Gil Lee, Raja Jurdak
A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments. CoRR (2016)
Minsoo Choy, Daehoon Kim, Jae-Gil Lee, Heeyoung Kim, Hiroshi Motoda
Looking back on the current day: interruptibility prediction using daily behavioral features. UbiComp (2016)
Haejoon Lee, Minseo Kang, Sun-Bum Youn, Jae-Gil Lee, YongChul Kwon
An Experimental Comparison of Iterative MapReduce Frameworks. CIKM (2016)
Daehoon Kim, Jae-Gil Lee, Byung Suk Lee
Topical influence modeling via topic-level interests and interactions on social curation services. ICDE (2016)
Seunghyeon Moon, Jae-Gil Lee, Minseo Kang, Minsoo Choy, Jin-Woo Lee
Parallel community detection on large graphs with MapReduce and GraphChi. Data Knowl. Eng. 104 (2016)
Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Jae-Gil Lee, Raja Jurdak
A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments. IEEE Trans. Knowl. Data Eng. 28 (11) (2016)
Jungeun Kim, Minseo Kang, Sungsu Lim, Jae-Gil Lee
Triangle counting in networks using a multi-level branching technique. BigComp (2015)
Jae-Gil Lee, Jiawei Han, Xiaolei Li
A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness. IEEE Trans. Knowl. Data Eng. 27 (6) (2015)
Kyu-Young Whang, Jae-Gil Lee, Min-Jae Lee, Wook-Shin Han, Min-Soo Kim, Jun-Sung Kim
DB-IR integration using tight-coupling in the Odysseus DBMS. World Wide Web 18 (3) (2015)
Jin-Woo Lee, Joohyun Kim, Uichin Lee, Jae-Gil Lee
SocialKeyboard: Proofreading Everyday Writings in Mobile Phones. CHI Extended Abstracts (2015)
Jae-Gil Lee, Minseo Kang
Geospatial Big Data: Challenges and Opportunities. Big Data Res. 2 (2) (2015)
Jungeun Kim, Jae-Gil Lee
Community Detection in Multi-Layer Graphs: A Survey. SIGMOD Rec. 44 (3) (2015)
Seunghyeon Moon, Jae-Gil Lee, Minseo Kang
Scalable community detection from networks by computing edge betweenness on MapReduce. BigComp (2014)
Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, Jae-Gil Lee
LinkSCAN*: Overlapping community detection using the link-space transformation. ICDE (2014)
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
Joins on Encoded and Partitioned Data. Proc. VLDB Endow. 7 (13) (2014)
Seongchan Kim, Wonchul Jung, Keejun Han, Jae-Gil Lee, Mun Yong Yi
Quality-Based Automatic Classification for Presentation Slides. ECIR (2014)
Minsoo Choy, Jae-Gil Lee, Gahgene Gweon, Daehoon Kim
Glaucus: Exploiting the Wisdom of Crowds for Location-Based Queries in Mobile Environments. ICWSM (2014)
Juyup Sung, Seunghyeon Moon, Jae-Gil Lee
The Influence in Twitter: Are They Really Influenced? BSI@PAKDD/BSIC@IJCAI (2013)
Jeungmin Oh, Daehoon Kim, Uichin Lee, Jae-Gil Lee, Junehwa Song
Facilitating developer-user interactions with mobile app review digests. CHI Extended Abstracts (2013)
Juyup Sung, Jae-Gil Lee, Uichin Lee
Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-Based Question Answering Services. ICWSM (2013)
Keejun Han, Mun Yong Yi, Gahgene Gweon, Jae-Gil Lee
Understanding the Difficulty Factors for Learning Materials: A Qualitative Study. AIED (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jae-Gil Lee