Publications

Top Conferences

1. [CIKM2025] Jaebeom You, Seung-Kyu Hong, Ling Liu, Kisung Lee, and Hyuk-Yoon Kwon,* "FAIR-SE: Framework for Analyzing Information Disparities in Search Engines with Diverse LLM-Generated Personas," In Proc. the 34th ACM International Conference on Information and Knowledge Management (CIKM), Seoul, Korea, Nov. 2025 (top conference in IR and DB, BK IF=3).

2. [CIKM2025] Seung Kyu Hong and Hyuk-Yoon Kwon*, "Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor," In Proc. the 34th ACM International Conference on Information and Knowledge Management (CIKM), Seoul, Korea, Nov. 2025 (top conference in IR and DB, BK IF=2, short).

3. [SIGMOD2025] Bo-Young Lim, Jeong-Ha Park, Kisung Lee, and Hyuk-Yoon Kwon*, "Multi-Level Graph Representation Learning Through Predictive Community-based Partitioning," In Proc. 2025 ACM SIGMOD Int'l Conf. on Management of Data, Berlin, Germany, June 2025  (top conference in DB, BK IF=4). 

4. [ICDE2025] Jihoon Moon, Ling Liu, Hyuk-Yoon Kwon*, "FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning," 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, May 2025 (top conference in DB, BK IF=3).

5. [AAAI2025] Jaeseok Jang and Hyuk-Yoon Kwon*, "TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection," The 39th Annual AAAI Conference on Artificial Intelligence (AAAI2025), Philadelphia, Pennsylvania, USA, Feb. 2025 (top conference in AI, BK IF=4) (Ack: 2022R1F1A1067008 and P0028216).

SCI Journals

1. Changdae Lee, Hyuk-Yoon Kwon*, Young Il Lee,* "OPC UA-based three-layer architecture for aggregated microgrids integrating edge cloud computing and IEC 62264," Journal of Industrial Information Integration, Vol. 48, pp. 1-15, Nov. 2025 (IF=11.6, top 2.2%). 

2. Junghwan Im, Young Il Lee, Changdae Lee, Hyuk-Yoon Kwon*, "Orchestration of Edge Controller and Cloud Metric Engine for Managing OPC UA-based Microgrids," IEEE Transactions on Industrial Informatics, Vol. 21, No. 9, pp. 7086-7097, Sept. 2025 (IF=9.9, top 4.9%). 

3. Yujung Hwang, Chanhyeok Kim, Gangmin Park, and Hyuk-Yoon Kwon*, "Affective Audio Feature-based Multimodal Learning Model for Extracting Video Highlights," Applied Soft Computing, July 2025 (IF=6.6, top 13.4%, Accepted) (Ack: NRF-RS-2025-00521452, MOTIE-P0028216).

4. Hyun-Jung Bae, Jong-Seong Park, Ji-hyeok Choi, and Hyuk-Yoon Kwon*, "Learning Model Combined with Data Clustering and Dimensionality Reduction for Short-Term Electricity Load Forecasting," Scientific Reports, Vol. 15, pp. 1-17, Jan. 2025 (IF=3.9, top 18.1%).

Top Conferences

1. [NeurIPS2024] Jaeseok Jang and Hyuk-Yoon Kwon*, "Are Multiple Instance Learning Algorithms Learnable for Instances?," Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 2024 (top conference in AI, BK IF=4) [PDF] [VIDEO] (Ack: 2022R1F1A1067008 and 2019R1A6A1A03032119).

2. [BIGDATA2024] Min-Seon Kim, Ling Liu, and Hyuk-Yoon Kwon*, "SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay," 2024 IEEE International Conference on Big Data (IEEE BigData 2024), Washington D.C, USA, Dec. 2024 (regular paper, oral presentation, acceptance rate = 18.8%) (Ack: 2022R1F1A1067008 and 2020M3H2A1078119) [video].

3. [BIGDATA2024] Min-Seon Kim, Ling Liu, and Hyuk-Yoon Kwon*, "OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts," 2024 IEEE International Conference on Big Data (IEEE BigData 2024), Washington D.C, USA, Dec. 2024 (short paper, oral presentation, acceptance rate = 19.7%) (Ack: 2022R1F1A1067008 and 2020M3H2A1078119) [video].

SCI Journals

1. Jeong-Ha Park, Bo-Young Lim, Kisung Lee, and Hyuk-Yoon Kwon*, "SaaN 2L-GRL: Two-Level Graph Representation Learning Empowered with Subgraph-as-a-Node," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36, No. 12, pp. 9205-9219, Dec. 2024 (Impact Factor: 8.9, top 1.8%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119).

2. Won-Ryeol Jeong, Seung-Kyu Hong, and Hyuk-Yoon Kwon*, "PV2DOC: Converting the Presentation Video into the Summarized Document," SoftwareX, Vol. 28, Article No. 101922, pp. 1-7, Dec. 2024 (Ack: SeoulTech).

3. Jong Seong Park, Jeong-Ha Park, Jihyeok Choi, and Hyuk-Yoon Kwon*, "Learning with Correlation-Guided Attention for Multi-Energy Consumption Forecasting," IEEE Transactions on Industrial Informatics (TII), Vol. 20, No. 11, pp. 12736 - 12746, Nov. 2024 (Impact Factor: 11.7, top 1.5%) (Ack: NRF-2022R1F1A1067008 and KETEP-2021202090028D).

4. Seung-Kyu Hong, Jae-Seok Jang, and Hyuk-Yoon Kwon*, "Enhancing Performance of Transformer-based Models in Natural Language Understanding through Word Importance Embedding," Knowledge-Based Systems, Aug. 2024, Vol. 304, Article No. 112404, pp. 1-13, Nov. 2024 (Impact Factor: 7.2 top 13.5%) (Ack: SeoulTech).

5. Jae-yeol Kim and Hyuk-Yoon Kwon*, "Self-Training of Cyber-Threat Classification Model with Threat-Payload Centric Augmentation," IEEE Transactions on Industrial Informatics (TII), Vol. 20, No. 10, pp. 11740 - 11750, Oct. 2024 (Impact Factor: 11.7, top 1.5%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119). 

6. Taehee Kim, Jae-Seok Jang, and Hyuk-Yoon Kwon, "Correlation-Driven Multi-Level Learning for Anomaly Detection on Multiple Energy Sources," Applied Soft Computing, Vol. 159, pp. 1-14, July 2024 (Impact Factor: 7.2, top 8.6%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119).

7. Yun-Tae Jin, Jae-Beom You, Shoko Wakamiya, and Hyuk-Yoon Kwon*, "Analyzing User Reactions Using Relevance between Location Information of Tweets and News Articles," EPJ Data Science, Vol. 13, Article No. 44, pp. 1-17, June 2024 (Impact Factor: 3.0 top 12.7%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119).

8. Dohui Lee, Sohyun Won, Jiwon Kim, and Hyuk-Yoon Kwon*, "ARGo: Augmented Reality-Based Mobile Go Stone Collision Game," Virtual Reality (publisher: Springer Nature), Vol. 28, pp. 1-21, Feb. 2024 (Impact Factor: 4.2) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119).

9. Jaebeom You, Kisung Lee, Hyuk-Yoon Kwon*, "DeepScraper: A Complete and Efficient Tweet Scraping Method using Authenticated Multiprocessing," Data & Knowledge Engineering, Vol. 149, Jan. 2024 (Impact Factor: 2.5) (Ack: SeoulTech).

Others

1. Jeonghwan Im, Jaekyu Lee, Somin Lee, and Hyuk-Yoon Kwon*, "Data Pipeline for Real-Time Energy Consumption Data Management and Prediction," Frontiers in Big Data, Vol. 7, pp. 1-8, Mar. 2024 (Impact Factor: 3.1) (Ack: KETEP-2021202090028D and 2019R1A6A1A03032119 ).

2. Hangbok Lee, Minjae Cho, and Hyuk-Yoon Kwon*, "Attention-Based Speech Feature Transfer between Speakers," Frontiers in Artificial Intelligence, Vol. 7, Feb. 2024 (Impact Factor: 4.0) (Ack: SeoulTech).

Top Conferences

1. [ICDM2023] Jeong-Ha Park, Kisung Lee, and Hyuk-Yoon Kwon*, "Two-Level Graph Representation Learning with Community-as-a-Node Graphs," In Proc. 23rd IEEE International Conference on Data Mining (IEEE ICDM 2023), Shanghai, China, Dec. 2023 (top conference in data mining, short, oral presentation, acceptance rate = 19.94%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119). 

SCI Journals

1. Hyuk-Yoon Kwon, Jaejun Yoo, and Woong-Kee Loh*, "Efficient ϵ-Approximate k-Flexible Aggregate Nearest Neighbor Search for Arbitrary ϵ in Road Networks," Electronics, Vol. 12, No. 16, Article 3622, pp. 1-14, Aug. 2023 (Impact Factor: 2.9).

2. Min-Seon Kim, Bo-Young Lim, Han-Sub Shin, and Hyuk-Yoon Kwon*, "Historical Credibility for Movie Reviews and Its Application to Weakly Supervised Classification," Information Sciences, Vol. 630, pp. 325-340, June 2023 (Impact Factor: 8.233, Top 9.45%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119).

3. Jeong-Ha Park, Chae-Yun Lim, and Hyuk-Yoon Kwon*, An Experimental Study of Animating-based Facial Image Manipulation in Online Class Environments," Scientific Reports (publisher: Springer Nature), Vol. 10, Article No. 4667, pp. 1-12, Mar. 2023 (Impact Factor:  4.996, Top 25%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119).

Others

1. Jae-Seok Jang and Hyuk-Yoon Kwon*, "Question-Answering Pair Matching based on Question Classification and Ensemble Sentence Embedding", Computer Systems Science and Engineering, Apr. 2023 (Impact Factor: 4.397, Top 18%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119).

2. Changdae Lee, Junghwan Im, Hyuk-Yoon Kwon, Young Il Lee, "Design and Implementation of an OPC UA-Based Cloud System for the Management of Distributed Microgrid Networks," In Proc. 23rd International Conference on Control, Automation and Systems (ICCAS), pp. 312-316, Oct. 2023.

3. Jihoon Moon and Hyuk-Yoon Kwon*, "Auto-Labeling of Anomalies on Access Logs and Pairwise Comparison-based Validation," In Proc. 2023 IEEE International Conference on Big Data and Smart Computing, Feb. 2023 (Ack: NRF-2021R1F1A1064050 and P0017123).

SCI Journals

1. Jeong-Ha Park and Hyuk-Yoon Kwon*, "A Cyberattack Detection Model Using Community Detection and Text Analysis on Social Media," ICT Express, Vol. 8, No. 4, Dec. 2022 (Impact Factor: 4.317, JCR Q1, Top 23%) (Ack: NRF-2021R1F1A1064050 and NRF-2019R1A6A1A03032119).

2. Jun-Ha Lee and Hyuk-Yoon Kwon*, "Large-Scale Digital Forensic Investigation for Windows Registry on Apache Spark," Plos One, Vol. 17, No. 12, Dec. 2022 (NRF-2021R1F1A1064050 and NRF-2019R1A6A1A03032119).

3. Min-Seon Kim, Bo-Young Lim, Kisung Lee, and Hyuk-Yoon Kwon*, "Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment", Sensors, Vol. 22, No. 23, Article 9298, pp. 1-19, Nov. 2022  (Impact Factor: 3.847) (Ack: SeoulTech).

4. Gang-Min Park, Hye-In Hyun, and Hyuk-Yoon Kwon*, "Multimodal Learning Model Based on Video-Audio-Chat Feature Fusion for Detecting E-sports Highlights," Applied Soft Computing, Vol. 126, Sept. 2022 (Impact Factor: 8.263, Top 9.7%) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119). 

5. Jae-yeol Kim and Hyuk-Yoon Kwon*, "Threat Classification Model for Security Information Event Management Focusing on Model Efficiency," Computers & Security, Vol. 120, Sept. 2022 (Impact Factor: 4.438) (Ack: NRF-2022R1F1A1067008 and NRF-2019R1A6A1A03032119). 

6. S. Batool, J. Rashid, M.*, Nisar M., J. Kim*, Hyuk-Yoon Kwon, and A. Hussain, "Educational Data Mining to Predict Students' Academic Performance: A Survey Study",  Education and Information Technologies, July 2022 (Impact Factor: 3.666, Top 23%).

7. Jeonghwan Im and Hyuk-Yoon Kwon*, "A Key-Value Store Tightly Coupled with an Operating System for Storing Large-Scale Values," CMC-Computers, Materials & Continua, Vol. 73, No. 2, pp. 3333-3350, June 2022 (Impact Factor:  3.772) (Ack: SeoulTech).

8. Gangmin Park, Yong Seok Heo, Kisung Lee, Hyuk-Yoon Kwon*, "A Parallel and Accurate Method for Large-Scale Image Segmentation on a Cloud Environment," Journal of Supercomputing, Vol. 78, pp. 4330-4357, Feb. 2022 (Impact Factor: 2.474) (Ack: NRF-2021R1F1A1064050). 

9. Hansub Shin, Kisung Lee, and Hyuk-Yoon Kwon*, "A Comparative Experimental Study of Distributed Storage Engines for Big Spatial Data Processing using GeoSpark," Journal of Supercomputing, Vol. 78, pp. 2556-2579, Feb. 2022 (Impact Factor: 2.474) (Ack: NRF-2021R1F1A1064050 and NSF-2032745). 

10. Hansub Shin, Sungyong Sim, Hyuk-Yoon Kwon*, Sangheum Hwang, Younho Lee*, "A New Smart Smudge Attack using CNN," International Journal of Information Security, Vol. 21, pp. 25-36, Feb. 2022 (Impact Factor: 1.988).

Others

1. Jeonghwan Im, Jaehyu Lee, Somin Lee, and Hyuk-Yoon Kwon, "Data Pipeline for a Real-Time Water Management System with Time Series Prediction Model," International Conference on Electric-Vehicle, Smart Grid and Information Technology, May 2022 (Ack: NRF-2021R1F1A1064050 and NRF-2021M3F8A1045639).

2. Min-Seon Kim and Hyuk-Yoon Kwon, "Distributed Classification Model of Streaming Tweets based on Dynamic Model Update," In Proc. 2022 IEEE International Conference on Big Data and Smart Computing, Jan. 2022 (Ack: NRF-2021R1F1A1064050 and NRF-2019R1A6A1A03032119).

3. Jaekyu Lee and Hyuk-Yoon Kwon, "TPC-C Benchmarking for ElasticSearch," In Proc. 2022 IEEE International Conference on Big Data and Smart Computing, Jan. 2022 (Ack: NRF-2021R1F1A1064050 and MOTIE-P0017123).

SCI Journals

1. T. Nazir, M. Nawaz, J. Rashid*, R. Mahum, M. Masood, A. Mehmood, F. Ali, J. Kim, Hyuk-Yoon Kwon*, and A. Hussain, "Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model", Sensors, Vol. 21, No. 16, Article 5283, pp. 1-18, Aug. 2021 (Impact Factor: 3.576, JCR Q1, Top 21%) (Ack: NRF-2018R1C1B5084424 and NRF-2019R1A6A1A03032119). 

2. M. Aksa, J. Rashid*, M. W. Nisar, T. Mahmood, Hyuk-Yoon Kwon, and A. Hussain, "BitmapAligner: Bit-Parallelism String Matching with MapReduce and Hadoop," Computers Materials & Continua, Vol. 68, No. 3, pp. 3931-3946, May 2021 (Impact Factor: 4.890, JCR Q1, Top 13%) (Ack: NRF-2018R1C1B5084424 and NRF-2019R1A6A1A03032119). 

3. M. Masood, T. Nazir, M. Nawaz, A. Mehmood, J. Rashid*, Hyuk-Yoon Kwon*, T. Mahmood, and A. Hussain, "A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images," Diagnostics, Vol. 11, No. 5, Article 744, pp. 1-18, Apr. 2021 (Impact Factor: 3.110, JCR Q1, Top 23%) (Ack: SeoulTech).

Others

1. Min-Seon Kim and Hyuk-Yoon Kwon, "Data Coverage Analysis and Improvement of Real-Time Twitter Streaming ", In Proc. the 17th Int'l Conf. on Data Science (ICDATA), July 2021.

2. Jaebeom You, Jaekyu Lee, and Hyuk-Yoon Kwon, "A Complete and Fast Scraping Method for Collecting Tweets," In Proc. 2021 IEEE International Conference on Big Data and Smart Computing, pp. 24-27, Jan. 2021 (Ack: NRF-2018R1C1B5084424).

3. Gang-Min Park, Yong Seok Heo, and Hyuk-Yoon Kwon, "Trade-Off Analysis Between Parallelism and Accuracy of SLIC on Apache Spark," In Proc. 2021 IEEE International Conference on Big Data and Smart Computing, pp. 5-12, Jan. 2021 (Ack: NRF-2018R1C1B5084424).

SCI Journals

1. Seung-Jun Lee and Hyuk-Yoon Kwon*, "A Preprocessing Strategy for Denoising of Speech Data Based on Speech Segment Detection," Applied Sciences, Vol. 10, No. 20, Article 7385, pp. 1-24, Oct. 2020 (Impact Factor: 2.474) (Ack: NRF-2018R1C1B5084424).

2. Han-Sub Shin, Hyuk-Yoon Kwon*, and Seung-Jin Ryu, "A New Text Classification Model Based on Contrastive Word Embedding for Detecting Cybersecurity Intelligence in Twitter," Electronics, Vol. 9, No. 9, Article 1527, pp. 1-21, Sept. 2020 (Impact Factor: 2.412) (Ack: NRF-2018R1C1B5084424 and NSR-2020-107).

3. Hyuk-Yoon Kwon*, "Real and Synthetic Data Sets for Benchmarking Key-Value Stores Focusing on Various Data Types and Sizes," Data in Brief (Publisher: Elsevier), Vol. 30, Article 105441, June ​2020 (Ack: NRF-2018R1C1B5084424).

4. Woong-Kee Loh and Hyuk-Yoon Kwon*, "Ranking of Keyword-Combined Searches in Relational Databases based on Relevance to the User Query," IET Electronics Letters, Vol. 56, No. 10, pp. 495-498, May 2020 (Impact Factor: 1.343) (Ack: NRF-2018R1C1B5084424 and NRF-2019R1A6A1A03032119). 

5. Jun-Ha Lee and Hyuk-Yoon Kwon*, "Redundancy Analysis and Elimination on Access Patterns of the Windows Applications based on I/O Log Data," IEEE Access, Vol. 8, pp. 40640-40655, Mar. 2020 (Impact Factor: 4.098, JCR Q1, Top 14%) (Ack: NRF-2018R1C1B5084424 and NRF-2019R1A6A1A03032119). 

Others

1. Hyun Jung Bae and Hyuk-Yoon Kwon, "Experimental Accuracy Analysis of Methods for Forecasting Short-Term Electric Load," International Conference on Electric-Vehicle, Smart Grid and Information Technology, Sept. 2020.

2. Han-Sub Shin, Kisung Lee, and Hyuk-Yoon Kwon, "Performance Evaluation of Spatial Data Management Systems Using GeoSpark," In Proc. 2020 IEEE International Conference on Big Data and Smart Computing, pp. 197-200, Feb. 2020 (Ack: NRF-2018R1C1B5084424 and NRF-2019R1A6A1A03032119). 

1. Tae-Sub Yun, Kyu-Young Whang*, Hyuk-Yoon Kwon, Jun-Sung Kim, and Il-Yeol Song, "Two-Dimensional Indexing to Provide One-Integrated-Memory View of Distributed Memory for a Massively-Parallel Search Engine," The World Wide Web Journal, Vol. 22, No. 6, pp. 2437-2467, Nov. 2019 (Impact Factor: 1.770).

2. Hyuk-Yoon Kwon, "Constructing a Lightweight Key-Value Store Based on the Windows Native Features," Applied Sciences, ​Vol. 9, No. 18, Article 3801, pp. 1-22, Sept. 2019 (Impact Factor: 2.217) (Ack: NRF-2018R1C1B5084424 and NRF-2019R1A6A1A03032119). 

3. In-Joong Kim, Kyu-Young Whang*, and Hyuk-Yoon Kwon, “Maximal object+: An acyclic semantic structure on the universal relation model,” Data & Knowledge Engineering, Vol. 111, pp. 39-57, Sept. 2017 (Impact Factor: 1.694).

4. Hyuk-Yoon Kwon and Kyu-Young Whang*, “Scalable and Efficient Processing of Top-k Multiple-Type Integrated Queries,” The World Wide Web Journal, Vol. 19, No. 6, pp. 1051-1075, Nov. 2016. (Impact Factor: 1.405).

5. Jun-Sung Kim, Kyu-Young Whang*, Hyuk-Yoon Kwon, and Il-Yeol Song, “PARADISE: Big data analytics using the DBMS tightly integrated with the distributed file system,” The World Wide Web Journal, Vol. 19, No. 3, pp. 299-322, May 2016. (Impact Factor: 1.405).

6. Hyuk-Yoon Kwon, Haixun Wang, and Kyu-Young Whang*, “G-Index Model: A generic model of index schemes for top-k spatial-keyword queries,” The World Wide Web Journal, Vol. 18, No. 4, pp. 969-995, July 2015 (Impact Factor: 1.539, JCR Q1, Top 16%).

7. Younus Arjumand, Kyu-Young Whang*, Hyuk-Yoon Kwon, and Yeon-Mi Yeo, “A Full-Coverage Two-Level URL Duplication Checking Method for a High-Speed Parallel Web Crawler,” Journal of Information Science and Engineering, Vol. 31, No. 3, pp. 839-860, May 2015 (Impact Factor: 0.392).

8. In-Joong Kim, Kyu-Young Whang*, and Hyuk-Yoon Kwon, “SRT-Rank: Ranking Keyword Query Results in Relational Databases Using the Strongly Related Tree,” IEICE TRANSACTIONS on Information and Systems, Vol. 97, No. 9, pp. 2398-2414, Sept. 2014 (Impact Factor: 0.245).

9. Hyuk-Yoon Kwon, Kyu-Young Whang*, Il-Yeol Song, and Haixun Wang, “RASIM: A Rank-Aware Separate Index Method Using Partitioning for Answering Top-k Spatial Keyword Queries,” The World Wide Web Journal, Vol. 16, No. 2, pp. 111-139, Mar. 2013 (Impact Factor: 1.623, JCR Q1, Top 18%).

10. Kyu-Young Whang, Tae-Sub Yun, Yeon-Mi Yeo, Il-Yeol Song, Hyuk-Yoon Kwon, and In-Joong Kim, “ODYS: A Massively-Parallel Search Engine Using a DB-IR Tightly-Integrated Parallel DBMS,” In Proc. 2013 ACM SIGMOD Int'l Conf. on Management of Data, pp. 313-324, June 2013 (top conference in the database, Acceptance Rate = 20.4%).