Jae-Gil Lee

Orcid: 0000-0002-8711-7732

Affiliations:
  • Korea Advanced Institute of Science and Technology (KAIST), Data Mining Lab, Daejeon, Korea


According to our database1, Jae-Gil Lee authored at least 113 papers between 2004 and 2024.

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Bibliography

2024
Universal Time-Series Representation Learning: A Survey.
CoRR, 2024

Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Adaptive Shortcut Debiasing for Online Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning From Noisy Labels With Deep Neural Networks: A Survey.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Data collection and quality challenges in deep learning: a data-centric AI perspective.
VLDB J., July, 2023

MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction.
IEEE Trans. Intell. Transp. Syst., April, 2023

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning.
CoRR, 2023

Active Prompt Learning in Vision Language Models.
CoRR, 2023

Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context Consistency Regularization for Label Sparsity in Time Series.
Proceedings of the International Conference on Machine Learning, 2023

Temporal Convolutional Network-Based Time-Series Segmentation.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Bird's Eye View of the 4th Industrial Revolution Technologies.
IEEE Data Eng. Bull., 2022

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Coherence-based Label Propagation over Time Series for Accelerated Active Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases.
Proceedings of the IEEE International Conference on Data Mining, 2022

Meta-Learning for Online Update of Recommender Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Learning by Self-Transition for Handling Noisy Labels.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Machine Learning Robustness, Fairness, and their Convergence.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Exploiting Scene Depth for Object Detection with Multimodal Transformers.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An effective approach to enhancing a focused crawler using Google.
J. Supercomput., 2020

Effect of garbage collection in iterative algorithms on Spark: an experimental analysis.
J. Supercomput., 2020

Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection.
ACM Trans. Intell. Syst. Technol., 2020

Data Collection and Quality Challenges for Deep Learning.
Proc. VLDB Endow., 2020

Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices.
Pervasive Mob. Comput., 2020

Ada-boundary: accelerating DNN training via adaptive boundary batch selection.
Mach. Learn., 2020

A systematic framework of predicting customer revisit with in-store sensors.
Knowl. Inf. Syst., 2020

Hello There! Is Now a Good Time to Talk?: Opportune Moments for Proactive Interactions with Smart Speakers.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Accurate and Fast Federated Learning via IID and Communication-Aware Grouping.
CoRR, 2020

Two-Phase Learning for Overcoming Noisy Labels.
CoRR, 2020

TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture.
CoRR, 2020

Learning from Noisy Labels with Deep Neural Networks: A Survey.
CoRR, 2020

DTranNER: biomedical named entity recognition with deep learning-based label-label transition model.
BMC Bioinform., 2020

TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Revisit Prediction by Deep Survival Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
LinkBlackHole<sup>*</sup>*: Robust Overlapping Community Detection Using Link Embedding.
IEEE Trans. Knowl. Data Eng., 2019

NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing.
Proc. VLDB Endow., 2019

Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation.
Pervasive Mob. Comput., 2019

Prestopping: How Does Early Stopping Help Generalization against Label Noise?
CoRR, 2019

MLAT: Metric Learning for kNN in Streaming Time Series.
CoRR, 2019

SELFIE: Refurbishing Unclean Samples for Robust Deep Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Introduction to the special issue on Data Science in Asia (with PAKDD'2017).
Int. J. Data Sci. Anal., 2018

Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation.
CoRR, 2018

RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning.
Proceedings of the 2018 International Conference on Management of Data, 2018

Utilizing In-store Sensors for Revisit Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

TED Talk Recommender Using Speech Transcripts.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs.
ACM Trans. Intell. Syst. Technol., 2017

Boundary image matching supporting partial denoising using time-series matching techniques.
Multim. Tools Appl., 2017

Developing information quality assessment framework of presentation slides.
J. Inf. Sci., 2017

An experimental analysis of limitations of MapReduce for iterative algorithms on Spark.
Clust. Comput., 2017

PAMAE: Parallel <i>k</i>-Medoids Clustering with High Accuracy and Efficiency.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Efficient fall detection based on event pattern matching in image streams.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

2016
A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments.
IEEE Trans. Knowl. Data Eng., 2016

Parallel community detection on large graphs with MapReduce and GraphChi.
Data Knowl. Eng., 2016

SentiWorld: Understanding Emotions between Countries Based on Tweets.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

BlackHole: Robust community detection inspired by graph drawing.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Topical influence modeling via topic-level interests and interactions on social curation services.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Looking back on the current day: interruptibility prediction using daily behavioral features.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

A comparative analysis of iterative MapReduce systems.
Proceedings of the Sixth International Conference on Emerging Databases: Technologies, 2016

<i>APAM</i>: Adaptive Eager-Lazy Hybrid Evaluation of Event Patterns for Low Latency.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

An Experimental Comparison of Iterative MapReduce Frameworks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
DB-IR integration using tight-coupling in the Odysseus DBMS.
World Wide Web, 2015

A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness.
IEEE Trans. Knowl. Data Eng., 2015

Community Detection in Multi-Layer Graphs: A Survey.
SIGMOD Rec., 2015

Geospatial Big Data: Challenges and Opportunities.
Big Data Res., 2015

SocialKeyboard: Proofreading Everyday Writings in Mobile Phones.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Triangle counting in networks using a multi-level branching technique.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2014
Joins on Encoded and Partitioned Data.
Proc. VLDB Endow., 2014

Glaucus: Exploiting the Wisdom of Crowds for Location-Based Queries in Mobile Environments.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

LinkSCAN*: Overlapping community detection using the link-space transformation.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Quality-Based Automatic Classification for Presentation Slides.
Proceedings of the Advances in Information Retrieval, 2014

Scalable community detection from networks by computing edge betweenness on MapReduce.
Proceedings of the International Conference on Big Data and Smart Computing, BIGCOMP 2014, 2014

2013
The Influence in Twitter: Are They Really Influenced?
Proceedings of the Behavior and Social Computing, 2013

Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-Based Question Answering Services.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Facilitating developer-user interactions with mobile app review digests.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Understanding the Difficulty Factors for Learning Materials: A Qualitative Study.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Business Analytics in (a) Blink.
IEEE Data Eng. Bull., 2012

On Finding Fine-Granularity User Communities by Profile Decomposition.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Mining Discriminative Patterns for Classifying Trajectories on Road Networks.
IEEE Trans. Knowl. Data Eng., 2011

MoveMine: Mining moving object data for discovery of animal movement patterns.
ACM Trans. Intell. Syst. Technol., 2011


2010
Tightly-coupled spatial database features in the Odysseus/OpenGIS DBMS for high-performance.
GeoInformatica, 2010

MoveMine: mining moving object databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Incremental Clustering for Trajectories.
Proceedings of the Database Systems for Advanced Applications, 2010

2009
Temporal Outlier Detection in Vehicle Traffic Data.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Structural optimization of a full-text <i>n</i> -gram index using relational normalization.
VLDB J., 2008

<i>TraClass</i>: trajectory classification using hierarchical region-based and trajectory-based clustering.
Proc. VLDB Endow., 2008

Sampling cube: a framework for statistical olap over sampling data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Trajectory Outlier Detection: A Partition-and-Detect Framework.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
The dynamic predicate: integrating access control with query processing in XML databases.
VLDB J., 2007

n-Gram/2L-approximation: a two-level n-gram inverted index structure for approximate string matching.
Comput. Syst. Sci. Eng., 2007

Traffic Density-Based Discovery of Hot Routes in Road Networks.
Proceedings of the Advances in Spatial and Temporal Databases, 2007

Trajectory clustering: a partition-and-group framework.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Odysseus: a High-Performance ORDBMS Tightly-Coupled with Spatial Database Features.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
Secure query processing against encrypted XML data using Query-Aware Decryption.
Inf. Sci., 2006

Special issue: Hippocratic XML databases: a model and an access control mechanism.
Comput. Syst. Sci. Eng., 2006

Continuous query processing in data streams using duality of data and queries.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

A Practitioner's Approach to Normalizing XQuery Expressions.
Proceedings of the Database Systems for Advanced Applications, 2006

2005
n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Odysseus: A High-Performance ORDBMS Tightly-Coupled with IR Features.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
Transformation-based temporal aggregation using order-based buffer replacement strategy.
Comput. Syst. Sci. Eng., 2004


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