Adaptive Complex Event Processing Based on Collaborative Rule Mining Engine. - O-Joun Lee; Eunsoon You; Min-Sung Hong; Jason J. Jung (ACIIDS (1), 2015)

Predictive Clustering for performance stability in collaborative filtering techniques. - O-Joun Lee; Jason J. Jung; Eunsoon You (CYBCONF, 2015)

Context-Based Traffic Recommendation System. - Khac-Hoai Nam Bui; Xuan Hau Pham; Jason J. Jung; O-Joun Lee; Min-Sung Hong (ICCASA, 2015)

MBTI-Based Collaborative Recommendation System: A Case Study of Webtoon Contents. - Myeong-Yeon Yi; O-Joun Lee; Jason J. Jung (ICCASA, 2015)

Affective Character Network for Understanding Plots of Narrative Contents. - O-Joun Lee; Jason J. Jung (AfCAI, 2016)

A Novel Method for Extracting Dynamic Character Network from Movie. - Quang Dieu Tran; Dosam Hwang; O-Joun Lee; Jason J. Jung (BDTA, 2016)

Dynamic Traffic Light Control System Based on Process Synchronization Among Connected Vehicles. - Khac-Hoai Nam Bui; O-Joun Lee; Jason J. Jung; David Camacho (ISAmI, 2016)

Network Engineering: Towards Data-Driven Framework for Network Configuration. - Khac-Hoai Nam Bui; Sungrae Cho; Jason J. Jung; Joongheon Kim; O-Joun Lee; Woongsoo Na (BDTA, 2017)

Spatio-Temporal Contextualization of Queries for Microtexts in Social Media: Mathematical Modeling. - Jae-Hong Park; O-Joun Lee; Joo-Man Han; Eon-Ji Lee; Jason J. Jung; Luca Carratore; Francesco Piccialli (EUSPN/ICTH, 2017)

Towards Affective Lifelogging with Information Fusion. - Jason J. Jung; Min-Sung Hong; O-Joun Lee; Jae-Hong Park; Chang Choi (Intelligent Environments, 2017)

Event-Driven Trust Refreshment on Ambient Services. - Hoang Long Nguyen 001; O-Joun Lee; Jai E. Jung; Jaehwa Park; Tai-Won Um; Hyun-Woo Lee (IEEE Access, 2017)

Towards Ontological Approach on Trust-Aware Ambient Services. - O-Joun Lee; Hoang Long Nguyen 001; Jai E. Jung; Tai-Won Um; Hyun-Woo Lee (IEEE Access, 2017)

Sequence Clustering-based Automated Rule Generation for Adaptive Complex Event Processing. - O-Joun Lee; Jai E. Jung (Future Gener. Comput. Syst., 2017)

A computational model of transmedia ecosystem for story-based contents. - Jai E. Jung; O-Joun Lee; Eun-Soon You; Myoung-Hee Nam (Multim. Tools Appl., 2017)

Exploiting character networks for movie summarization. - Quang Dieu Tran; Dosam Hwang; O-Joun Lee; Jai E. Jung (Multim. Tools Appl., 2017)

Measuring Character-based Story Similarity by Analyzing Movie Scripts. - O-Joun Lee; Nayoung Jo; Jason J. Jung (Text2Story@ECIR, 2018)

Explainable Movie Recommendation Systems by using Story-based Similarity. - O-Joun Lee; Jason J. Jung (IUI Workshops, 2018)

Spatio-temporal query contextualization for microtext retrieval in social media. - Jae-Hong Park; O-Joun Lee; Jai E. Jung (Concurr. Comput. Pract. Exp., 2018)

Multi-scaled Spatial Analytics on Discovering Latent Social Events for Smart Urban Services. - O-Joun Lee; Yunhu Kim; Hoang Long Nguyen 001; Jai E. Jung (J. Univers. Comput. Sci., 2018)

Owner-Borrower Model for Recommenders in O2O Services. - O-Joun Lee; Jai E. Jung (Mob. Networks Appl., 2018)

Character Network Embedding-based Plot Structure Discovery in Narrative Multimedia. - O-Joun Lee; Jason J. Jung (WIMS, 2019)

Is Performance of Scholars Correlated to Their Research Collaboration Patterns? - Hyeon-Ju Jeon; O-Joun Lee; Jason J. Jung (Frontiers Big Data, 2019)

Modeling affective character network for story analytics. - O-Joun Lee; Jason J. Jung (Future Gener. Comput. Syst., 2019)

Integrating character networks for extracting narratives from multimodal data. - O-Joun Lee; Jason J. Jung (Inf. Process. Manag., 2019)

Measuring Narrative Fluency by Analyzing Dynamic Interaction Networks in Textual Narratives. - O-Joun Lee; Jin-Taek Kim (Text2Story@ECIR, 2020)

Towards Story-based Summarization of Narrative Multimedia. - O-Joun Lee; Jin-Taek Kim; Eun-Soon You (ICEA, 2020)

Story Embedding: Learning Distributed Representations of Stories based on Character Networks (Extended Abstract). - O-Joun Lee; Jason J. Jung (IJCAI, 2020)

IdeaNet: Potential Opportunity Discovery for Business Innovation. - O-Joun Lee; Sung Youn Park; Jin-Taek Kim (AI4Narratives@IJCAI, 2020)

Learning Multi-modal Representations of Narrative Multimedia: a Case Study of Webtoons. - O-Joun Lee; Jin-Taek Kim (RACS, 2020)

Story embedding: Learning distributed representations of stories based on character networks. - O-Joun Lee; Jason J. Jung (Artif. Intell., 2020)

A novel network virtualization based on data analytics in connected environment. - Khac-Hoai Nam Bui; Sungrae Cho; Jason J. Jung; Joongheon Kim; O-Joun Lee; Woongsoo Na (J. Ambient Intell. Humaniz. Comput., 2020)

Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia. - O-Joun Lee; Jason J. Jung; Jin-Taek Kim (Sensors, 2020)

Learning multi-resolution representations of research patterns in bibliographic networks. - O-Joun Lee; Hyeon-Ju Jeon; Jason J. Jung (J. Informetrics, 2021)

Interinstitutional Research Team Formation Based on Bibliographic Network Embedding. - O-Joun Lee; Seungha Hong; Jin-Taek Kim (Mob. Inf. Syst., 2021)

Day-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional Network. - Hyeon-Ju Jeon; Min-Woo Choi; O-Joun Lee (Sensors, 2022)

"Why do I feel offended?" - Korean Dataset for Offensive Language Identification. - San-Hee Park; Kang-Min Kim; O-Joun Lee; Youjin Kang; Jaewon Lee; Su-Min Lee; SangKeun Lee 001 (EACL (Findings), 2023)

Long Short-Term Memory Network (LSTM) based Stock Price Prediction. - Akshat Gaurav; Varsha Arya; Kwok Tai Chui; Brij B. Gupta; Chang Choi; O-Joun Lee (RACS, 2023)

Companion Animal Disease Diagnostics Based on Literal-Aware Medical Knowledge Graph Representation Learning. - Van Thuy Hoang; Sang Thanh Nguyen; Sangmyeong Lee; Jooho Lee; Luong Vuong Nguyen; O-Joun Lee (IEEE Access, 2023)

Classification of Liver Fibrosis From Heterogeneous Ultrasound Image. - Yunsang Joo; Hyun-Cheol Park; O-Joun Lee; Changhan Yoon; Moon Hyung Choi; Chang Choi (IEEE Access, 2023)

Connector 0.5: A unified framework for graph representation learning. - Thanh-Sang Nguyen; Jooho Lee; Van Thuy Hoang; O-Joun Lee (CoRR, 2023)

Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures. - Van Thuy Hoang; O-Joun Lee (CoRR, 2023)

Graph Representation Learning and Its Applications: A Survey. - Van Thuy Hoang; Hyeon-Ju Jeon; Eun-Soon You; Yoewon Yoon; Sungyeop Jung; O-Joun Lee (Sensors, 2023)

Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity. - Van Thuy Hoang; O-Joun Lee (AAAI, 2024)

Knowledge Graph-based Recommender Systems: A Case Study on Movie Domain. - Luong Vuong Nguyen; Quoc-Trinh Vo; Cao Vu Bui; Thi-Thu-Hong Phan; O-Joun Lee (ICTC, 2024)

Face Detection Using Eigenfaces: A Comprehensive Review. - Huu-Tuong Ho; Luong Vuong Nguyen; Tra Huong Thi Le; O-Joun Lee (IEEE Access, 2024)

A Survey on Structure-Preserving Graph Transformers. - Van Thuy Hoang; O-Joun Lee (CoRR, 2024)

CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks. - Hyeon-Ju Jeon; Jeon-Ho Kang; In-Hyuk Kwon; O-Joun Lee (CoRR, 2024)

Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation. - Hyeon-Ju Jeon; Jeon-Ho Kang; In-Hyuk Kwon; O-Joun Lee (CoRR, 2024)

Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks*. - Hyeon-Ju Jeon; Jeon-Ho Kang; In-Hyuk Kwon; O-Joun Lee (Mach. Learn. Sci. Technol., 2024)

Kiosk Recommend System Based on Self-Supervised Representation Learning of User Behaviors in Offline Retail. - Namgyu Jung; Van Thuy Hoang; O-Joun Lee; Chang Choi (IEEE Internet Things J., 2024)

Automated classification of liver fibrosis stages using ultrasound imaging. - Hyun-Cheol Park; Yunsang Joo; O-Joun Lee; Kunkyu Lee; Tai-Kyong Song; Chang Choi; Moon Hyung Choi; Changhan Yoon (BMC Medical Imaging, 2024)

Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck. - Van Thuy Hoang; O-Joun Lee (AAAI, 2025)

Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products. - Van Thuy Hoang; Tien-Bach-Thanh Do; Jinho Seo; Seung Charlie Kim; Luong Vuong Nguyen; Duong Nguyen Minh Huy; Hyeon-Ju Jeon; O-Joun Lee (IEEE Access, 2025)

Transmission Power Optimization for Hybrid NOMA-URLLC System With STAR-RIS Assistance. - Tra Huong Thi Le; Nguyen Van Dien; Luong Vuong Nguyen; Tri-Hai Nguyen; O-Joun Lee (IEEE Access, 2025)

A Comparative Study of Deep Audio Models for Spectrogram- and Waveform-Based SingFake Detection. - Minh Nguyen-Duc; Luong Vuong Nguyen; Huy Nguyen-Ho-Nhat; Tri-Hai Nguyen; O-Joun Lee (IEEE Access, 2025)

Capturing Semantic Relationships Using Full Dependency Forests to Improve Consistency in Long Document Summarization. - Yanjun Wu; Luong Vuong Nguyen; O-Joun Lee (IEEE Access, 2025)

Mitigating Degree Bias in Graph Representation Learning With Learnable Structural Augmentation and Structural Self-Attention. - Van Thuy Hoang; Hyeon-Ju Jeon; O-Joun Lee (IEEE Trans. Netw. Sci. Eng., 2025)

Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks. - Namgyu Jung; David Camacho; Chang Choi; O-Joun Lee (Cogn. Comput., 2025)

Discovering Spatial Correlations between Earth Observations in Global Atmospheric State Estimation by using Adaptive Graph Structure Learning. - Hyeon-Ju Jeon; Jeon-Ho Kang; In-Hyuk Kwon; O-Joun Lee (CoRR, 2025)