ODYS: A Massively-Parallel Search Engine Using a DB-IR Tightly-Integrated Parallel DBMS - Kyu-Young Whang; Tae-Seob Yun; Yeon-Mi Yeo; Il-Yeol Song; Hyuk-Yoon Kwon; In-Joong Kim (CoRR, 2012)

ODYS: an approach to building a massively-parallel search engine using a DB-IR tightly-integrated parallel DBMS for higher-level functionality. - Kyu-Young Whang; Tae-Seob Yun; Yeon-Mi Yeo; Il-Yeol Song; Hyuk-Yoon Kwon; In-Joong Kim (SIGMOD Conference, 2013)

RASIM: a rank-aware separate index method for answering top-k spatial keyword queries. - Hyuk-Yoon Kwon; Kyu-Young Whang; Il-Yeol Song; Haixun Wang (World Wide Web, 2013)

Odysseus/DFS: Integration of DBMS and Distributed File System for Transaction Processing of Big Data. - Jun-Sung Kim; Kyu-Young Whang; Hyuk-Yoon Kwon; Il-Yeol Song (CoRR, 2014)

SRT-Rank: Ranking Keyword Query Results in Relational Databases Using the Strongly Related Tree. - In-Joong Kim; Kyu-Young Whang; Hyuk-Yoon Kwon (IEICE Trans. Inf. Syst., 2014)

A Full-Coverage Two-Level URL Duplication Checking Method for a High-Speed Parallel Web Crawler. - Arjumand Younus; Kyu-Young Whang; Hyuk-Yoon Kwon; Yeon-Mi Yeo (J. Inf. Sci. Eng., 2015)

G-Index Model: A generic model of index schemes for top-k spatial-keyword queries. - Hyuk-Yoon Kwon; Haixun Wang; Kyu-Young Whang (World Wide Web, 2015)

PARADISE: Big data analytics using the DBMS tightly integrated with the distributed file system. - Jun-Sung Kim; Kyu-Young Whang; Hyuk-Yoon Kwon; Il-Yeol Song (World Wide Web, 2016)

Scalable and efficient processing of top-k multiple-type integrated queries. - Hyuk-Yoon Kwon; Kyu-Young Whang (World Wide Web, 2016)

Maximal object+: An acyclic semantic structure on the universal relation model. - In-Joong Kim; Kyu-Young Whang; Hyuk-Yoon Kwon (Data Knowl. Eng., 2017)

Two-dimensional indexing to provide one-integrated-memory view of distributed memory for a massively-parallel search engine. - Tae-Seob Yun; Kyu-Young Whang; Hyuk-Yoon Kwon; Jun-Sung Kim; Il-Yeol Song (World Wide Web, 2019)

Correction to: Two-dimensional indexing to provide one-integrated-memory view of distributed memory for a massively-parallel search engine. - Tae-Seob Yun; Kyu-Young Whang; Hyuk-Yoon Kwon; Jun-Sung Kim; Il-Yeol Song (World Wide Web, 2019)

Performance Evaluation of Spatial Data Management Systems Using GeoSpark. - Hansub Shin; Kisung Lee; Hyuk-Yoon Kwon (BigComp, 2020)

Redundancy Analysis and Elimination on Access Patterns of the Windows Applications Based on I/O Log Data. - Jun-Ha Lee; Hyuk-Yoon Kwon (IEEE Access, 2020)

Weakly Supervised Learning for Judging the Credibility of Movie Reviews. - Hansub Shin; Hyuk-Yoon Kwon (CoRR, 2020)

Trade-Off Analysis Between Parallelism and Accuracy of SLIC on Apache Spark. - Gang-Min Park; Yong Seok Heo; Hyuk-Yoon Kwon (BigComp, 2021)

A Complete and Fast Scraping Method for Collecting Tweets. - Jaebeom You; Jaekyu Lee; Hyuk-Yoon Kwon (BigComp, 2021)

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model. - Tahira Nazir; Marriam Nawaz; Junaid Rashid; Rabbia Mahum; Momina Masood; Awais Mehmood; Farooq Ali; Jungeun Kim; Hyuk-Yoon Kwon; Amir Hussain 001 (Sensors, 2021)

Distributed Classification Model of Streaming Tweets based on Dynamic Model Update. - Min-Seon Kim; Hyuk-Yoon Kwon (BigComp, 2022)

TPC-C Benchmarking for ElasticSearch. - Jaekyu Lee; Hyuk-Yoon Kwon (BigComp, 2022)

Multimodal learning model based on video-audio-chat feature fusion for detecting e-sports highlights. - Gang-Min Park; Hye-In Hyun; Hyuk-Yoon Kwon (Appl. Soft Comput., 2022)

Threat classification model for security information event management focusing on model efficiency. - Jae-Yeol Kim; Hyuk-Yoon Kwon (Comput. Secur., 2022)

Cyberattack detection model using community detection and text analysis on social media. - Jeongha Park; Hyuk-Yoon Kwon (ICT Express, 2022)

Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment. - Min-Seon Kim; Bo-Young Lim; Kisung Lee; Hyuk-Yoon Kwon (Sensors, 2022)

A parallel and accurate method for large-scale image segmentation on a cloud environment. - Gangmin Park; Yong Seok Heo; Kisung Lee; Hyuk-Yoon Kwon (J. Supercomput., 2022)

A comparative experimental study of distributed storage engines for big spatial data processing using GeoSpark. - Hansub Shin; Kisung Lee; Hyuk-Yoon Kwon (J. Supercomput., 2022)

Auto-Labeling of Anomalies on Access Logs and Pairwise Comparison-based Validation. - Jihoon Moon; Hyuk-Yoon Kwon (BigComp, 2023)

Two-Level Graph Representation Learning with Community-as-a-Node Graphs. - Jeongha Park; Kisung Lee; Hyuk-Yoon Kwon (ICDM, 2023)

Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources. - Taehee Kim; Hyuk-Yoon Kwon (CoRR, 2023)

Question-Answering Pair Matching Based on Question Classification and Ensemble Sentence Embedding. - Jaeseok Jang; Hyuk-Yoon Kwon (Comput. Syst. Sci. Eng., 2023)

Educational data mining to predict students' academic performance: A survey study. - Saba Batool; Junaid Rashid; Muhammad Wasif Nisar; Jungeun Kim; Hyuk-Yoon Kwon; Amir Hussain 001 (Educ. Inf. Technol., 2023)

Historical credibility for movie reviews and its application to weakly supervised classification. - Min-Seon Kim; Bo-Young Lim; Hansub Shin; Hyuk-Yoon Kwon (Inf. Sci., 2023)

SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay. - Min-Seon Kim; Ling Liu; Hyuk-Yoon Kwon (IEEE Big Data, 2024)

OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts. - Min-Seon Kim; Ling Liu; Hyuk-Yoon Kwon (IEEE Big Data, 2024)

Are Multiple Instance Learning Algorithms Learnable for Instances? - Jaeseok Jang; Hyuk-Yoon Kwon (NeurIPS, 2024)

Correlation-driven multi-level learning for anomaly detection on multiple energy sources. - Taehee Kim; Jaeseok Jang; Hyuk-Yoon Kwon (Appl. Soft Comput., 2024)

Data pipeline for real-time energy consumption data management and prediction. - Jeonghwan Im; Jaekyu Lee; Somin Lee; Hyuk-Yoon Kwon (Frontiers Big Data, 2024)

Attention-based speech feature transfer between speakers. - Hangbok Lee; Minjae Cho; Hyuk-Yoon Kwon (Frontiers Artif. Intell., 2024)

Enhancing performance of transformer-based models in natural language understanding through word importance embedding. - Seung-Kyu Hong; Jaeseok Jang; Hyuk-Yoon Kwon (Knowl. Based Syst., 2024)

PV2DOC: Converting the presentation video into the summarized document. - Won-Ryeol Jeong; Seung-Kyu Hong; Hyuk-Yoon Kwon (SoftwareX, 2024)

DeepScraper: A complete and efficient tweet scraping method using authenticated multiprocessing. - Jaebeom You; Kisung Lee; Hyuk-Yoon Kwon (Data Knowl. Eng., 2024)

ARGo: augmented reality-based mobile Go stone collision game. - Dohui Lee; Sohyun Won; Jiwon Kim; Hyuk-Yoon Kwon (Virtual Real., 2024)

Self-Training of Cyber-Threat Classification Model With Threat-Payload Centric Augmentation. - Jae-Yeol Kim; Hyuk-Yoon Kwon (IEEE Trans. Ind. Informatics, 2024)

Learning With Correlation-Guided Attention for Multienergy Consumption Forecasting. - Jong Seong Park; Jeongha Park; Jihyeok Choi; Hyuk-Yoon Kwon (IEEE Trans. Ind. Informatics, 2024)

Analyzing user reactions using relevance between location information of tweets and news articles. - Yun-Tae Jin; Jaebeom You; Shoko Wakamiya; Hyuk-Yoon Kwon (EPJ Data Sci., 2024)

SaaN 2L-GRL: Two-Level Graph Representation Learning Empowered With Subgraph-as-a-Node. - Jeongha Park; Bo-Young Lim; Kisung Lee; Hyuk-Yoon Kwon (IEEE Trans. Knowl. Data Eng., 2024)

TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection. - Jaeseok Jang; Hyuk-Yoon Kwon (AAAI, 2025)

FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning. - Jihoon Moon; Ling Liu; Hyuk-Yoon Kwon (ICDE, 2025)

Affective audio feature-based multimodal learning model for extracting video highlights. - Yujung Hwang; Chanhyeok Kim; Gangmin Park; Hyuk-Yoon Kwon (Appl. Soft Comput., 2025)

Multi-Level Graph Representation Learning Through Predictive Community-based Partitioning. - Bo-Young Lim; Jeongha Park; Kisung Lee; Hyuk-Yoon Kwon (Proc. ACM Manag. Data, 2025)