Transformation-based temporal aggregation using order-based buffer replacement strategy. - Joon-Ho Woo; Byung Suk Lee 001; Min-Jae Lee 002; Jae-Gil Lee 001; Kyu-Young Whang (Comput. Syst. Sci. Eng., 2004)

Odysseus: A High-Performance ORDBMS Tightly-Coupled with IR Features. - Kyu-Young Whang; Min-Jae Lee 002; Jae-Gil Lee 001; Min-Soo Kim 002; Wook-Shin Han (ICDE, 2005)

n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure. - Min-Soo Kim 002; Kyu-Young Whang; Jae-Gil Lee 001; Min-Jae Lee 002 (VLDB, 2005)

A Practitioner's Approach to Normalizing XQuery Expressions. - Ki-Hoon Lee; Seoyoung Kim 002; Euijong Whang; Jae-Gil Lee 001 (DASFAA, 2006)

Continuous query processing in data streams using duality of data and queries. - Hyo-Sang Lim; Jae-Gil Lee 001; Min-Jae Lee 002; Kyu-Young Whang; Il-Yeol Song (SIGMOD Conference, 2006)

Special issue: Hippocratic XML databases: a model and an access control mechanism. - Jae-Gil Lee 001; Kyu-Young Whang; Wook-Shin Han; Il-Yeol Song (Comput. Syst. Sci. Eng., 2006)

Secure query processing against encrypted XML data using Query-Aware Decryption. - Jae-Gil Lee 001; Kyu-Young Whang (Inf. Sci., 2006)

Odysseus: a High-Performance ORDBMS Tightly-Coupled with Spatial Database Features. - Kyu-Young Whang; Jae-Gil Lee 001; Min-Soo Kim 002; Min-Jae Lee 002; Ki-Hoon Lee (ICDE, 2007)

Trajectory clustering: a partition-and-group framework. - Jae-Gil Lee 001; Jiawei Han 001; Kyu-Young Whang (SIGMOD Conference, 2007)

Traffic Density-Based Discovery of Hot Routes in Road Networks. - Xiaolei Li 001; Jiawei Han 001; Jae-Gil Lee 001; Hector Gonzalez (SSTD, 2007)

n-Gram/2L-approximation: a two-level n-gram inverted index structure for approximate string matching. - Min-Soo Kim 002; Kyu-Young Whang; Jae-Gil Lee 001 (Comput. Syst. Sci. Eng., 2007)

The dynamic predicate: integrating access control with query processing in XML databases. - Jae-Gil Lee 001; Kyu-Young Whang; Wook-Shin Han; Il-Yeol Song (VLDB J., 2007)

Trajectory Outlier Detection: A Partition-and-Detect Framework. - Jae-Gil Lee 001; Jiawei Han 001; Xiaolei Li 001 (ICDE, 2008)

Sampling cube: a framework for statistical olap over sampling data. - Xiaolei Li 001; Jiawei Han 001; Zhijun Yin; Jae-Gil Lee 001; Yizhou Sun (SIGMOD Conference, 2008)

TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering. - Jae-Gil Lee 001; Jiawei Han 001; Xiaolei Li 001; Hector Gonzalez (Proc. VLDB Endow., 2008)

Structural optimization of a full-text n -gram index using relational normalization. - Min-Soo Kim 002; Kyu-Young Whang; Jae-Gil Lee 001; Min-Jae Lee 002 (VLDB J., 2008)

Temporal Outlier Detection in Vehicle Traffic Data. - Xiaolei Li 001; Zhenhui Li; Jiawei Han 001; Jae-Gil Lee 001 (ICDE, 2009)

Incremental Clustering for Trajectories. - Zhenhui Li; Jae-Gil Lee 001; Xiaolei Li 001; Jiawei Han 001 (DASFAA (2), 2010)

MoveMine: mining moving object databases. - Zhenhui Li; Ming Ji; Jae-Gil Lee 001; Lu An Tang; Yintao Yu; Jiawei Han 001; Roland Kays (SIGMOD Conference, 2010)

Tightly-coupled spatial database features in the Odysseus/OpenGIS DBMS for high-performance. - Kyu-Young Whang; Jae-Gil Lee 001; Min-Soo Kim 002; Min-Jae Lee 002; Ki-Hoon Lee; Wook-Shin Han; Jun-Sung Kim (GeoInformatica, 2010)

Blink: Not Your Father's Database! - Ronald Barber; Peter Bendel; Marco Czech; Oliver Draese; Frederick Ho; Namik Hrle; Stratos Idreos; Min-Soo Kim 002; Oliver Koeth; Jae-Gil Lee 001; Tianchao Tim Li; Guy M. Lohman; et al. (BIRTE, 2011)

MoveMine: Mining moving object data for discovery of animal movement patterns. - Zhenhui Li; Jiawei Han 001; Ming Ji; Lu-An Tang; Yintao Yu; Bolin Ding; Jae-Gil Lee 001; Roland Kays (ACM Trans. Intell. Syst. Technol., 2011)

Mining Discriminative Patterns for Classifying Trajectories on Road Networks. - Jae-Gil Lee 001; Jiawei Han 001; Xiaolei Li 001; Hong Cheng 001 (IEEE Trans. Knowl. Data Eng., 2011)

On Finding Fine-Granularity User Communities by Profile Decomposition. - Seulki Lee; Minsam Ko; Keejun Han; Jae-Gil Lee 001 (ASONAM, 2012)

Business Analytics in (a) Blink. - Ronald Barber; Peter Bendel; Marco Czech; Oliver Draese; Frederick Ho; Namik Hrle; Stratos Idreos; Min-Soo Kim 002; Oliver Koeth; Jae-Gil Lee 001; Tianchao Tim Li; Guy M. Lohman; et al. (IEEE Data Eng. Bull., 2012)

Understanding the Difficulty Factors for Learning Materials: A Qualitative Study. - Keejun Han; Mun Yong Yi; Gahgene Gweon; Jae-Gil Lee 001 (AIED, 2013)

Facilitating developer-user interactions with mobile app review digests. - Jeungmin Oh; Daehoon Kim; Uichin Lee; Jae-Gil Lee 001; Junehwa Song (CHI Extended Abstracts, 2013)

Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-Based Question Answering Services. - Juyup Sung; Jae-Gil Lee 001; Uichin Lee (ICWSM, 2013)

The Influence in Twitter: Are They Really Influenced? - Juyup Sung; Seunghyeon Moon; Jae-Gil Lee 001 (BSI@PAKDD/BSIC@IJCAI, 2013)

Scalable community detection from networks by computing edge betweenness on MapReduce. - Seunghyeon Moon; Jae-Gil Lee 001; Minseo Kang (BigComp, 2014)

Quality-Based Automatic Classification for Presentation Slides. - Seongchan Kim; Wonchul Jung; Keejun Han; Jae-Gil Lee 001; Mun Yong Yi (ECIR, 2014)

LinkSCAN*: Overlapping community detection using the link-space transformation. - Sungsu Lim; Seungwoo Ryu; Sejeong Kwon; Kyomin Jung; Jae-Gil Lee 001 (ICDE, 2014)

Glaucus: Exploiting the Wisdom of Crowds for Location-Based Queries in Mobile Environments. - Minsoo Choy; Jae-Gil Lee 001; Gahgene Gweon; Daehoon Kim (ICWSM, 2014)

Joins on Encoded and Partitioned Data. - Jae-Gil Lee 001; Gopi K. Attaluri; Ronald Barber; Naresh Chainani; Oliver Draese; Frederick Ho; Stratos Idreos; Min-Soo Kim 002; Sam Lightstone; Guy M. Lohman; Konstantinos Morfonios; Keshava Murthy; et al. (Proc. VLDB Endow., 2014)

Triangle counting in networks using a multi-level branching technique. - Jungeun Kim; Minseo Kang; Sungsu Lim; Jae-Gil Lee 001 (BigComp, 2015)

SocialKeyboard: Proofreading Everyday Writings in Mobile Phones. - Jin-Woo Lee; Joohyun Kim 003; Uichin Lee; Jae-Gil Lee 001 (CHI Extended Abstracts, 2015)

Geospatial Big Data: Challenges and Opportunities. - Jae-Gil Lee 001; Minseo Kang (Big Data Res., 2015)

Community Detection in Multi-Layer Graphs: A Survey. - Jungeun Kim; Jae-Gil Lee 001 (SIGMOD Rec., 2015)

A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness. - Jae-Gil Lee 001; Jiawei Han 001; Xiaolei Li 001 (IEEE Trans. Knowl. Data Eng., 2015)

DB-IR integration using tight-coupling in the Odysseus DBMS. - Kyu-Young Whang; Jae-Gil Lee 001; Min-Jae Lee 002; Wook-Shin Han; Min-Soo Kim 002; Jun-Sung Kim (World Wide Web, 2015)

An Experimental Comparison of Iterative MapReduce Frameworks. - Haejoon Lee; Minseo Kang; Sun-Bum Youn; Jae-Gil Lee 001; YongChul Kwon (CIKM, 2016)

APAM: Adaptive Eager-Lazy Hybrid Evaluation of Event Patterns for Low Latency. - Ilyeop Yi; Jae-Gil Lee 001; Kyu-Young Whang (CIKM, 2016)

A comparative analysis of iterative MapReduce systems. - Minseo Kang; Jae-Gil Lee 001 (EDB, 2016)

Looking back on the current day: interruptibility prediction using daily behavioral features. - Minsoo Choy; Daehoon Kim; Jae-Gil Lee 001; Heeyoung Kim; Hiroshi Motoda (UbiComp, 2016)

Topical influence modeling via topic-level interests and interactions on social curation services. - Daehoon Kim; Jae-Gil Lee 001; Byung Suk Lee 001 (ICDE, 2016)

BlackHole: Robust community detection inspired by graph drawing. - Sungsu Lim; Junghoon Kim 007; Jae-Gil Lee 001 (ICDE, 2016)

SentiWorld: Understanding Emotions between Countries Based on Tweets. - Sang-Jun Yea; Sejin Kim 002; John-Michaël To; Jae-Gil Lee 001 (ICWSM, 2016)

Parallel community detection on large graphs with MapReduce and GraphChi. - Seunghyeon Moon; Jae-Gil Lee 001; Minseo Kang; Minsoo Choy; Jin-Woo Lee (Data Knowl. Eng., 2016)

A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments. - Jiajun Liu; Kun Zhao 003; Philipp Sommer; Shuo Shang; Brano Kusy; Jae-Gil Lee 001; Raja Jurdak (IEEE Trans. Knowl. Data Eng., 2016)

Efficient fall detection based on event pattern matching in image streams. - Hyun Gook Kang; Minseo Kang; Jae-Gil Lee 001 (BigComp, 2017)

PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency. - Hwanjun Song; Jae-Gil Lee 001; Wook-Shin Han (KDD, 2017)

An experimental analysis of limitations of MapReduce for iterative algorithms on Spark. - Minseo Kang; Jae-Gil Lee 001 (Clust. Comput., 2017)

Developing information quality assessment framework of presentation slides. - Seongchan Kim; Jae-Gil Lee 001; Mun Yong Yi (J. Inf. Sci., 2017)

Boundary image matching supporting partial denoising using time-series matching techniques. - Bum-Soo Kim; Yang-Sae Moon; Jae-Gil Lee 001 (Multim. Tools Appl., 2017)

Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs. - Jungeun Kim; Jae-Gil Lee 001; Sungsu Lim (ACM Trans. Intell. Syst. Technol., 2017)

TED Talk Recommender Using Speech Transcripts. - Jaehoon Oh; Injung Lee; Yeon Seonwoo; Simin Sung; Ilbong Kwon; Jae-Gil Lee 001 (ASONAM, 2018)

Utilizing In-store Sensors for Revisit Prediction. - Sundong Kim; Jae-Gil Lee 001 (ICDM, 2018)

RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning. - Hwanjun Song; Jae-Gil Lee 001 (SIGMOD Conference, 2018)

Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation. - Younghun Song; Jae-Gil Lee 001 (CoRR, 2018)

Introduction to the special issue on Data Science in Asia (with PAKDD'2017). - Longbing Cao; Jae-Gil Lee 001; Xuemin Lin 001 (Int. J. Data Sci. Anal., 2018)

LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract). - Jungeun Kim; Sungsu Lim; Jae-Gil Lee 001; Byung Suk Lee 001 (ICDE, 2019)

CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing. - Yooju Shin; Susik Yoon; Patara Trirat; Jae-Gil Lee 001 (ICDE, 2019)

SELFIE: Refurbishing Unclean Samples for Robust Deep Learning. - Hwanjun Song; Minseok Kim; Jae-Gil Lee 001 (ICML, 2019)

MLAT: Metric Learning for kNN in Streaming Time Series. - Dongmin Park; Susik Yoon; Hwanjun Song; Jae-Gil Lee 001 (CoRR, 2019)

Prestopping: How Does Early Stopping Help Generalization against Label Noise? - Hwanjun Song; Minseok Kim; Dongmin Park; Jae-Gil Lee 001 (CoRR, 2019)

Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation. - Jin-Woo Lee; Gwangseon Jang; Hohyun Jung; Jae-Gil Lee 001; Uichin Lee (Pervasive Mob. Comput., 2019)

NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing. - Susik Yoon; Jae-Gil Lee 001; Byung Suk Lee 001 (Proc. VLDB Endow., 2019)

LinkBlackHole**: Robust Overlapping Community Detection Using Link Embedding. - Jungeun Kim; Sungsu Lim; Jae-Gil Lee 001; Byung Suk Lee 001 (IEEE Trans. Knowl. Data Eng., 2019)

Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. - Hwanjun Song; Minseok Kim; Sundong Kim; Jae-Gil Lee 001 (CIKM, 2020)

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 001 (KDD, 2020)

Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping. - Susik Yoon; Jae-Gil Lee 001; Byung Suk Lee 001 (KDD, 2020)

Revisit Prediction by Deep Survival Analysis. - Sundong Kim; Hwanjun Song; Sejin Kim 002; Beomyoung Kim; Jae-Gil Lee 001 (PAKDD (2), 2020)

TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. - Dongmin Park; Hwanjun Song; Minseok Kim; Jae-Gil Lee 001 (WWW, 2020)

DTranNER: biomedical named entity recognition with deep learning-based label-label transition model. - S. K. Hong; Jae-Gil Lee 001 (BMC Bioinform., 2020)

Learning from Noisy Labels with Deep Neural Networks: A Survey. - Hwanjun Song; Minseok Kim; Dongmin Park; Jae-Gil Lee 001 (CoRR, 2020)

TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. - Jin-Woo Lee; Jaehoon Oh; Sungsu Lim; Se-Young Yun; Jae-Gil Lee 001 (CoRR, 2020)

Two-Phase Learning for Overcoming Noisy Labels. - Hwanjun Song; Minseok Kim; Dongmin Park; Jae-Gil Lee 001 (CoRR, 2020)

Accurate and Fast Federated Learning via IID and Communication-Aware Grouping. - Jin-Woo Lee; Jaehoon Oh; Yooju Shin; Jae-Gil Lee 001; Se-Young Yoon (CoRR, 2020)

Hello There! Is Now a Good Time to Talk?: Opportune Moments for Proactive Interactions with Smart Speakers. - Narae Cha; Auk Kim; Cheul Young Park; Soowon Kang; Mingyu Park; Jae-Gil Lee 001; Sangsu Lee; Uichin Lee (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

A systematic framework of predicting customer revisit with in-store sensors. - Sundong Kim; Jae-Gil Lee 001 (Knowl. Inf. Syst., 2020)

Ada-boundary: accelerating DNN training via adaptive boundary batch selection. - Hwanjun Song; Sundong Kim; Minseok Kim; Jae-Gil Lee 001 (Mach. Learn., 2020)

Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices. - Gwangseon Jang; Jin-Woo Lee; Jae-Gil Lee 001; Yunxin Liu 001 (Pervasive Mob. Comput., 2020)

Data Collection and Quality Challenges for Deep Learning. - Steven Whang 001; Jae-Gil Lee 001 (Proc. VLDB Endow., 2020)

Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection. - Jungeun Kim; Jae-Gil Lee 001; Byung Suk Lee 001; Jiajun Liu (ACM Trans. Intell. Syst. Technol., 2020)

Effect of garbage collection in iterative algorithms on Spark: an experimental analysis. - Minseo Kang; Jae-Gil Lee 001 (J. Supercomput., 2020)

An effective approach to enhancing a focused crawler using Google. - Jae-Gil Lee 001; Donghwan Bae; Sansung Kim; Jungeun Kim; Mun Yong Yi (J. Supercomput., 2020)

PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. - Minseok Kim; Hwanjun Song; Doyoung Kim; Kijung Shin; Jae-Gil Lee 001 (AAAI, 2021)

Exploiting Scene Depth for Object Detection with Multimodal Transformers. - Hwanjun Song; Eunyoung Kim; Varun Jampani; Deqing Sun; Jae-Gil Lee 001; Ming-Hsuan Yang 001 (BMVC, 2021)

Machine Learning Robustness, Fairness, and their Convergence. - Jae-Gil Lee 001; Yuji Roh; Hwanjun Song; Steven Euijong Whang (KDD, 2021)

Robust Learning by Self-Transition for Handling Noisy Labels. - Hwanjun Song; Minseok Kim; Dongmin Park; Yooju Shin; Jae-Gil Lee 001 (KDD, 2021)

Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. - Dongmin Park; Hwanjun Song; Minseok Kim; Jae-Gil Lee 001 (NeurIPS, 2021)

Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries. - Susik Yoon; Yooju Shin; Jae-Gil Lee 001; Byung Suk Lee 001 (SIGMOD Conference, 2021)

DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. - Patara Trirat; Jae-Gil Lee 001 (WWW, 2021)

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 001 (AAAI, 2022)

Meta-Learning for Online Update of Recommender Systems. - Minseok Kim; Hwanjun Song; Yooju Shin; Dongmin Park; Kijung Shin; Jae-Gil Lee 001 (AAAI, 2022)

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 001 (ICDM, 2022)

Coherence-based Label Propagation over Time Series for Accelerated Active Learning. - Yooju Shin; Susik Yoon; Sundong Kim; Hwanjun Song; Jae-Gil Lee 001; Byung Suk Lee 001 (ICLR, 2022)

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream. - Susik Yoon; Youngjun Lee; Jae-Gil Lee 001; Byung Suk Lee 001 (KDD, 2022)

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. - Dongmin Park; Yooju Shin; Jihwan Bang; Youngjun Lee; Hwanjun Song; Jae-Gil Lee 001 (NeurIPS, 2022)

A Bird's Eye View of the 4th Industrial Revolution Technologies. - Kyu-Young Whang; Jae-Gil Lee 001; Hyo-Sang Lim; Inju Na (IEEE Data Eng. Bull., 2022)

AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. - Patara Trirat; Youngeun Nam; Taeyoon Kim; Jae-Gil Lee 001 (AAAI, 2023)

Temporal Convolutional Network-Based Time-Series Segmentation. - Hyangsuk Min; Jae-Gil Lee 001 (BigComp, 2023)

Context Consistency Regularization for Label Sparsity in Time Series. - Yooju Shin; Susik Yoon; Hwanjun Song; Dongmin Park; Byunghyun Kim; Jae-Gil Lee 001; Byung Suk Lee 001 (ICML, 2023)

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. - Dongmin Park; Seola Choi; Doyoung Kim; Hwanjun Song; Jae-Gil Lee 001 (NeurIPS, 2023)

Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses. - Youngeun Nam; Patara Trirat; Taeyoon Kim; Youngseop Lee; Jae-Gil Lee 001 (ECML/PKDD (6), 2023)

MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction. - Patara Trirat; Susik Yoon; Jae-Gil Lee 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Data collection and quality challenges in deep learning: a data-centric AI perspective. - Steven Euijong Whang; Yuji Roh; Hwanjun Song; Jae-Gil Lee 001 (VLDB J., 2023)

Learning From Noisy Labels With Deep Neural Networks: A Survey. - Hwanjun Song; Minseok Kim; Dongmin Park; Yooju Shin; Jae-Gil Lee 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adaptive Shortcut Debiasing for Online Continual Learning. - Doyoung Kim; Dongmin Park; Yooju Shin; Jihwan Bang; Hwanjun Song; Jae-Gil Lee 001 (AAAI, 2024)

Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. - Hwanjun Song; Minseok Kim; Jae-Gil Lee 001 (AAAI, 2024)

Active Prompt Learning in Vision Language Models. - Jihwan Bang; Sumyeong Ahn; Jae-Gil Lee 001 (CVPR, 2024)

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 001 (ICML, 2024)

Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. - Minyoung Bae; Yooju Shin; Youngeun Nam; Youngseop Lee; Jae-Gil Lee 001 (KDD, 2024)

Exploiting Representation Curvature for Boundary Detection in Time Series. - Yooju Shin; Jaehyun Park; Susik Yoon; Hwanjun Song; Byung Suk Lee 001; Jae-Gil Lee 001 (NeurIPS, 2024)

Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. - Youngeun Nam; Susik Yoon; Yooju Shin; Minyoung Bae; Hwanjun Song; Jae-Gil Lee 001; Byung Suk Lee 001 (WWW, 2024)

Universal Time-Series Representation Learning: A Survey. - Patara Trirat; Yooju Shin; Junhyeok Kang; Youngeun Nam; Jihye Na; Minyoung Bae; Joeun Kim; Byunghyun Kim; Jae-Gil Lee 001 (CoRR, 2024)

Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting. - Byunghyun Kim; Jae-Gil Lee 001 (CoRR, 2024)

VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting. - Junhyeok Kang; Yooju Shin; Jae-Gil Lee 001 (AAAI, 2025)

RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models. - Youngjun Lee; Doyoung Kim; Junhyeok Kang; Jihwan Bang; Hwanjun Song; Jae-Gil Lee 001 (ICLR, 2025)

Active Learning for Continual Learning: Keeping the Past Alive in the Present. - Jaehyun Park; Dongmin Park; Jae-Gil Lee 001 (ICLR, 2025)

Mobility Networked Time-Series Forecasting Benchmark Datasets. - Jihye Na; Youngeun Nam; Susik Yoon; Hwanjun Song; Byung Suk Lee 001; Jae-Gil Lee 001 (ICWSM, 2025)

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. - Sungwon Park 001; Sungwon Han 001; Xing Xie 001; Jae-Gil Lee 001; Meeyoung Cha (WWW, 2025)

References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation. - Doyoung Kim; Youngjun Lee; Joeun Kim; Jihwan Bang; Hwanjun Song; Susik Yoon; Jae-Gil Lee 001 (CoRR, 2025)

MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices. - Patara Trirat; Jae-Gil Lee 001 (CoRR, 2025)

PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series. - Patara Trirat; Jae-Gil Lee 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)