Publication

This page includes only our international publications. For domestic publications and other types of research outputs, please refer to the page below.

Journal Publications

  • Minh Nguyen-Duc, Luong Vuong Nguyen, Huy Nguyen-Ho-Nhat, Tri-Hai Nguyen, O-Joun Lee: A Comparative Study of Deep Audio Models for Spectrogram- and Waveform-based SingFake Detection. IEEE Access 05/2025; 13: 95739-95752. DOI:10.1109/ACCESS.2025.3571728
  • Yanjun Wu, Luong Vuong Nguyen, O-Joun Lee: Capturing Semantic Relationships Using Full Dependency Forests to Improve Consistency in Long Document Summarization. IEEE Access 04/2025; 13: 78895-78904. DOI:10.1109/ACCESS.2025.3565823
  • Van Thuy Hoang, Hyeon-Ju Jeon, O-Joun Lee: Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-attention. IEEE Transactions on Network Science and Engineering 04/2025; 12(5): 3656-3670. DOI:10.1109/TNSE.2025.3563697 Link
  • Namgyu Jung, David Camacho, Chang Choi, O-Joun Lee: Curriculum-Guided Self-Supervised Representation Learning of Dynamic Heterogeneous Networks. Cognitive Computation 03/2025; 17: 85. DOI:10.1007/s12559-025-10441-1 Link
  • Tra Huong Thi Le, Nguyen Van Dien, Luong Vuong Nguyen, Tri-Hai Nguyen, O-Joun Lee: Transmission Power Optimization for Hybrid NOMA- URLLC System with STAR-RIS Assistance. IEEE Access 01/2025; 13: 50216-50225. DOI:10.1109/ACCESS.2025.3528251
  • 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: Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products. IEEE Access 01/2025; 13: 15158-15167. DOI:10.1109/ACCESS.2025.3528488
  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: Observation Impact Explanation in Atmospheric State Estimation using Hierarchical Message-Passing Graph Neural Networks. Machine Learning: Science and Technology 10/2024; 5(4): 045036. DOI:10.1088/2632-2153/ad8981 Link
  • Minsun Cho, Marin Franot, O-Joun Lee, Sungyeop Jung: A Neural Compact Model Based-on Transfer Learning for Organic FETs with Gaussian Disorder. Journal of Materials Chemistry C 09/2024; 12(41): 16691–16700. DOI:10.1039/D4TC01224K Link
  • Huu-Tuong Ho, Luong Vuong Nguyen, Tra Huong Thi Le, O-Joun Lee: Face Detection Using Eigenfaces: A Comprehensive Review. IEEE Access 07/2024; 12: 118406-118426. DOI:10.1109/ACCESS.2024.3435964
  • Yeongho Sung, Hyeon-Ju Jeon, Daehun Kim, Min-Seo Kim, Jaeyeop Choi, Hwan Ryul Jo, Junghwan Oh, O-Joun Lee†, Hae Gyun Lim†: Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks. npj Clean Water 07/2024; 7: 63. (†: Co-correspondence) DOI:10.1038/s41545-024-00358-x Link
  • Nam-Gyu Jung, Van Thuy Hoang, O-Joun Lee†, Chang Choi†: Kiosk Recommend System based on Self-Supervised Representation Learning of User Behaviors in Offline Retail. IEEE Internet of Things Journal 05/2024; 11(10): 18686-18697. (†: Co-correspondence) DOI:10.1109/JIOT.2024.3365144 Link
  • Ji Won Nam, Hyeon-Ju Jeon, Jeong Eun Lee, O-Joun Lee†, Hae Gyun Lim†: Quantification of dysnatremia using single-beam acoustic microbeam and convolutional neural networks. IEEE Sensors Journal 04/2024; 24(7): 9626-9638. (†: Co-correspondence) DOI:10.1109/JSEN.2024.3364682 Link
  • Hyun-Cheol Park, YunSang Joo, O-Joun Lee, Kunkyu Lee, Tai-Kyong Song, Chang Choi, Moon Hyung Choi, Changhan Yoon: Automated classification of liver fibrosis stages using ultrasound imaging. BMC Medical Imaging 02/2024; 24: 36. DOI:10.1186/s12880-024-01209-4 Link
  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee†, Hae Gyun Lim†: Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network. Ultrasonics 01/2024; 136: 107167. (†: Co-correspondence) DOI:10.1016/j.ultras.2023.107167 Link
  • Van Thuy Hoang, Sang Thanh Nguyen, Sangmyeong Lee, Jooho Lee, Luong Vuong Nguyen, O-Joun Lee: Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning. IEEE Access 10/2023; 11: 114238-114249. DOI:10.1109/ACCESS.2023.3324046
  • Van Thuy Hoang, Hyeon-Ju Jeon, Eun-Soon You, Yoewon Yoon, Sungyeop Jung, O-Joun Lee: Graph Representation Learning and its Applications: A Survey. Sensors 04/2023; 23(8): 4168. DOI:10.3390/s23084168
  • Yunsang Joo, Hyun-Cheol Park, O-Joun Lee, Changhan Yoon, Moon Hyung Choi, Chang Choi: Classification of Liver Fibrosis from Heterogeneous Ultrasound Image. IEEE Access 01/2023; 11: 9920-9930. DOI:10.1109/ACCESS.2023.3240216
  • Hyeon-Ju Jeon, Hae Gyun Lim, K. Kirk Shung, O-Joun Lee†, Min Gon Kim†: Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing. Scientific Reports 11/2022; 12: 19873. (†: Co-correspondence) DOI:10.1038/s41598-022-22075-6
  • Hyeon-Ju Jeon, Min-Woo Choi, O-Joun Lee: Day-ahead Hourly Solar Irradiance Forecasting based on Multi-attributed Spatio-temporal Graph Convolutional Network. Sensors 09/2022; 22(19): 7179. DOI:10.3390/s22197179
  • O-Joun Lee, Hae Gyun Lim, K. Kirk Shung, Jin-Taek Kim, Hyung Ham Kim: Automated Estimation of Cancer Cell Deformability with Machine Learning and Acoustic Trapping. Scientific Reports 04/2022; 12: 6891. DOI:10.1038/s41598-022-10882-w
  • O-Joun Lee, Seungha Hong, Jin-Taek Kim: Interinstitutional Research Team Formation Based on Bibliographic Network Embedding. Mobile Information Systems 02/2021; 2021: 6629520. DOI:10.1155/2021/6629520
  • O-Joun Lee, Eun-Soon You, Jin-Taek Kim: Plot Structure Decomposition in Narrative Multimedia by Analyzing Personalities of Fictional Characters. Applied Sciences 02/2021; 11(4): 1645. DOI:10.3390/app11041645
  • O-Joun Lee, Hyeon-Ju Jeon, Jason J. Jung: Learning Multi-Resolution Representations of Research Patterns in Bibliographic Networks. Journal of Informetrics 02/2021; 15(1): 101126. DOI:10.1016/j.joi.2020.101126 Link
  • O-Joun Lee, Heelim Hong, Eun-Soon You, Jin-Taek Kim: Discovering Social Desires and Conflicts from Subculture Narrative Multimedia. Sustainability 12/2020; 12(24): 10241. DOI:10.3390/su122410241
  • Hae Gyun Lim†, O-Joun Lee†, K. Kirk Shung, Jin-Taek Kim, Hyung Ham Kim: Classification of Breast Cancer Cells Using the Integration of High-Frequency Single-Beam Acoustic Tweezers and Convolutional Neural Networks. Cancers 05/2020; 12(5): 1212. (†: Co-first authors) DOI:10.3390/cancers12051212 Link
  • O-Joun Lee, Jason J. Jung, Jin-Taek Kim: Learning Hierarchical Representations of Stories by Using Multi-layered Structures in Narrative Multimedia. Sensors 04/2020; 20(7): 1978. DOI:10.3390/s20071978
  • O-Joun Lee, Jason J. Jung: Story Embedding: Learning Distributed Representations of Stories based on Character Networks. Artificial Intelligence 04/2020; 281: 103235. DOI:10.1016/j.artint.2020.103235 Link
  • Nam Bui Khac Hoai, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee, Woongsoo Na: A novel network virtualization based on data analytics in connected environment. Journal of Ambient Intelligence and Humanized Computing 01/2020; 11: 75–86. DOI:10.1007/s12652-018-1083-x Link
  • Hyeon-Ju Jeon, O-Joun Lee, Jason. J. Jung: Is Performance of Scholars Correlated to Their Research Collaboration Patterns?. Frontiers in Big Data 11/2019; 2(39). DOI:10.3389/fdata.2019.00039 Link
  • O-Joun Lee, Jason J. Jung: Integrating character networks for extracting narratives from multimodal data. Information Processing & Management 09/2019; 56(5): 1894-1923. DOI:10.1016/j.ipm.2019.02.005 Link
  • O-Joun Lee, Jason J. Jung: Modeling affective character network for story analytics. Future Generation Computer Systems 03/2019; 92: 458-478. DOI:10.1016/j.future.2018.01.030 Link
  • Jae-Hong Park, O-Joun Lee, Jai E. Jung: Spatio-temporal query contextualization for microtext retrieval in social media. Concurrency and Computation Practice and Experience 08/2018; 30(15): e4458. DOI:10.1002/cpe.4458
  • O-Joun Lee, Jai E. Jung: Owner-Borrower Model for Recommenders in O2O Services. Mobile Networks and Applications 08/2018; 23(4): 1089-1096. DOI:10.1007/s11036-018-1073-4 Link
  • O-Joun Lee, Yunhu Kim, Hoang Long Nguyen, Jai E. Jung: Multi-scaled Spatial Analytics on Discovering Latent Social Events for Smart Urban Services. Journal of Universal Computer Science 03/2018; 24(3): 322-337. DOI:10.3217/jucs-024-03-0322
  • Jae-Hong Park, O-Joun Lee, Joo-Man Han, Eon-Ji Lee, Jason J. Jung, Luca Carratore, Francesco Piccialli: Spatio-Temporal Contextualization of Queries for Microtexts in Social Media: Mathematical Modeling. Procedia Computer Science 09/2017; 113: 525-530. DOI:10.1016/j.procs.2017.08.317
  • Quang Dieu Tran, Dosam Hwang, O-Joun Lee, Jai E. Jung: Exploiting Character Networks for Movie Summarization. Multimedia Tools and Applications 04/2017; 76(8): 10357–10369. DOI:10.1007/s11042-016-3633-6
  • Jai E. Jung, O-Joun Lee†, Eun-Soon You, Myoung-Hee Nam: A Computational Model of Transmedia Ecosystem for Story-based Contents. Multimedia Tools and Applications 04/2017; 16(8): 10371–10388. (†: Corresponding author) DOI:10.1007/s11042-016-3626-5
  • Hoang Long Nguyen, O-Joun Lee, Jai E. Jung, Jaehwa Park, Tai-Won Um, Hyun-Woo Lee: Event-Driven Trust Refreshment on Ambient Services. IEEE Access 03/2017; 5: 4664-4670. DOI:10.1109/ACCESS.2017.2677917
  • O-Joun Lee, Hoang Long Nguyen, Jai E. Jung, Hyun-Woo Lee, Tai-Won Um: Towards Ontological Approach on Trust-Aware Ambient Services. IEEE Access 02/2017; 5: 1589-1599. DOI:10.1109/ACCESS.2017.2663407
  • O-Joun Lee, Jai E. Jung: Sequence Clustering-based Automated Rule Generation for Adaptive Complex Event Processing. Future Generation Computer Systems 01/2017; 66: 100–109. DOI:10.1016/j.future.2016.02.011 Link
  • O-Joun Lee, Min-sung Hong, Jason J. Jung, Juhyun Shin, Pankoo Kim: Adaptive Collaborative Filtering Based on Scalable Clustering for Big Recommender Systems. Acta Polytechnica Hungarica 02/2016; 13(2): 179-194. DOI:10.12700/APH.13.2.2016.2.10

Conference Proceedings

  • Minsun Cho, Jinwoo Jeong, Taeheon Lee, O-Joun Lee, Sungyeop Jung: Data-Driven Auto-Calibration of a Dynamic Compact Model for Resistive Switching Memories. Proceedings of the 247th Electrochemical Society (ECS) Meeting, Montreal, Canada; 05/2025. DOI:10.1149/MA2025-01331662mtgabs
  • Van Thuy Hoang, O-Joun Lee: Pre-training Graph Neural Networks on Molecules by using Subgraph-conditioned Graph Information Bottleneck. Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA; 02/2025. DOI:10.1609/aaai.v39i16.33891 Link

  • Van Thuy Hoang, Ho-Chan Yang, Ju-Hee Shim, O-Joun Lee: Halal Cosmetic Recommendation based on Knowledge Graph Representation Learning. Proceedings of the 10th International Conference on Next Generation Computing (ICNGC 2024), Angeles City, Philippines; 11/2024.

  • Van Thuy Hoang, O-Joun Lee: An Overview of Pre-trained Graph Models for Molecular Structure Analysis. Proceedings of the 9th IEEE/IEIE International Conference On Consumer Electronics Asia (ICCE-Asia 2024), Danang, Vietnam; 11/2024. DOI:10.1109/ICCE-Asia63397.2024.10773928

  • Minsun Cho, Taeheon Lee, O-Joun Lee, Sungyeop Jung: Transfer Learning for Semiconductor Device Simulation. Proceedings of the 9th IEEE/IEIE International Conference On Consumer Electronics Asia (ICCE-Asia 2024), Danang, Vietnam; 11/2024.

  • Minsun Cho, Jinwoo Jung, Taeheon Lee, Wolfgang Goes, Ahmed Nejim, O-Joun Lee, Sungyeop Jung: Data-Driven Auto-Calibration of a Dynamic Compact Model for Resistive Switching Memories. Proceedings of the 2024 Wiley Forum Fall Meeting, Seoul, Korea; 10/2024.

  • Luong Vuong Nguyen, Quoc-Trinh Vo, Cao Vu Bui, Thi-Thu-Hong Phan, O-Joun Lee: Knowledge Graph-based Recommender Systems: A Case Study on Movie Domain. Proceedings of the 15th International Conference on ICT Convergence (ICTC 2024), Jeju, Korea; 10/2024. DOI:10.1109/ICTC62082.2024.10827472

  • Daehun Kim, Hyeon-Ju Jeon, Yeongho Sung, Jin Hyeong Park, O-Joun Lee, Hae Gyun Lim: Real-time tracking system for red tides through acoustic signals and artificial intelligence. Proceedings of the 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS 2024), Taipei, Taiwan; 09/2024.

  • Minsun Cho, O-Joun Lee, Sungyeop Jung: A Neural Compact Model Based on Transfer Learning for Organic FETs. Proceedings of the 245th Electrochemical Society (ECS) Meeting, San Francisco, CA, USA; 05/2024. DOI:10.1149/MA2024-01311549mtgabs

  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation. Proceedings of the Explainable Machine Learning for Sciences Workshop (XAI4Sci) held in conjunction with the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada; 02/2024. Link

  • Van Thuy Hoang, O-Joun Lee: Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity. Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada; 02/2024. DOI:10.1609/aaai.v38i11.29138 Link

  • Jeong Eun Lee, Hyeon-Ju Jeon, O-Joun Lee, Hae Gyun Lim: Blood Glucose Classification Using high-Frequency Ultrasound and Artificial Intelligence. Proceedings of the 2023 IEEE International Ultrasonics Symposium (IEEE IUS 2023), Montreal, Canada; 09/2023. (Poster)

  • Ji Won Nam, Hyeon-Ju Jeon, Jeong Eun Lee, O-Joun Lee, Hae Gyun Lim: Classification of Red Blood Cells for the Diagnosis of dysnatremia Based on Ultrasound and Convolutional Neural Networks. Proceedings of the 2023 IEEE International Ultrasonics Symposium (IEEE IUS 2023), Montreal, Canada; 09/2023. (Poster)

  • Akshat Gaurav, Varsha Arya, Kwok Tai Chui, Brij B. Gupta, Chang Choi, O-Joun Lee: Long Short-Term Memory Network (LSTM) based Stock Price Prediction. Proceedings of the 2023 ACM International Conference on Research in Adaptive and Convergent Systems (RACS 2023), Gdańsk, Poland; 08/2023. DOI:10.1145/3599957.3606240

  • Minsun Cho, O-Joun Lee, Sungyeop Jung: An Artificial Neural Network-based Compact Model for Organic Field-Effect Transistors with the Gaussian Disorder Model. Proceedings of the 2023 Asia-Pacific Workshop on Advanced Semiconductor Devices (AWAD 2023), Yokohama, Japan; 07/2023. (Poster)

  • San-Hee Park, Kang-Min Kim, O-Joun Lee, Youjin Kang, Jaewon Lee, Su-Min Lee, SangKeun Lee: “Why do I feel offended?” - Korean Dataset for Offensive Language Identification. Findings of the Association for Computational Linguistics - Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), Dubrovnik, Croatia; 05/2023. DOI:10.18653/v1/2023.findings-eacl.85 Link

  • Nam D Vo, O-Joun Lee, Khac-Hoai Nam Bui, Hae Gyun Lim, Hyeon-Ju Jeon, Phuong-Mai Nguyen, Jin-Taek Kim, Bui Quang Tuyen, Jason J Jung, Thuy Anh Vo: Computing4Human 2021: The 2nd International Conference on Human-centered Artificial Intelligence. Proceedings of the 2nd International Conference on Human-centered Artificial Intelligence (Computing4Human 2021), Da Nang, Vietnam; 10/2021. (Editorial)

  • Hyeon-Ju Jeon, Gyu-Sik Choi, Se-Young Cho, Hanbin Lee, Hee Yeon Ko, Jason J Jung, O-Joun Lee, Myeong-Yeon Yi: Learning Contextual Representations of Citations via Graph Transformer. Proceedings of the 2nd International Conference on Human-centered Artificial Intelligence (Computing4Human 2021), Da Nang, Vietnam; 10/2021.

  • O-Joun Lee, Jin-Taek Kim, Eun-Soon You: Quantifying Conflicts in Narrative Multimedia by Analyzing Visual Storytelling Techniques. Proceedings of the 2nd International Conference on Human-centered Artificial Intelligence (Computing4Human 2021), Da Nang, Vietnam; 10/2021.

  • O-Joun Lee, Jason J Jung: Story Embedding: Learning Distributed Representations of Stories based on Character Networks (Extended Abstract). Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) and the 17th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2020), Yokohama, Japan; 01/2021. DOI:10.24963/ijcai.2020/709 Link

  • O-Joun Lee, Sung Youn Park, Jin-Taek Kim: IdeaNet: Potential Opportunity Discovery for Business Innovation. Proceedings of the Artificial Intelligence for Narratives Workshop (AI4Narratives 2020) held in conjunction with the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) and the 17th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2020), Yokohama, Japan; 01/2021. Link

  • O-Joun Lee, Jin-Taek Kim, Eun-Soon You: Towards Story-based Summarization of Narrative Multimedia. Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications (ICEA 2020), Gangwon, Korea; 12/2020. DOI:10.1145/3440943.3444719

  • O-Joun Lee, Jin-Taek Kim: Learning Multi-modal Representations of Narrative Multimedia: a Case Study of Webtoons. Proceedings of the 2020 ACM International Conference on Research in Adaptive and Convergent Systems (RACS 2020), Gwangju, Korea; 10/2020. DOI:10.1145/3400286.3418216

  • O-Joun Lee, Jin-Taek Kim: Measuring Narrative Fluency by Analyzing Dynamic Interaction Networks in Textual Narratives. Proceedings of the 3rd Workshop on Narrative Extraction From Texts (Text2Story 2020), co-located with the 42nd European Conference on Information Retrieval (ECIR 2020), Lisbon, Portugal; 04/2020. Link

  • Jin-Taek Kim, Jason J. Jung, Eunsoon You, O-Joun Lee: Computing4Human 2020: The 1st International Workshop on Computational Humanities and Social Sciences. Proceedings of the 1st International Workshop on Computational Humanities and Social Sciences (Computing4Human 2020), Pohang, Korea; 02/2020. (Editorial)

  • O-Joun Lee, Jin-Taek Kim: Discovering Mise-en-scène in Movies by Analyzing Scripts. Proceedings of the 1st International Workshop on Computational Humanities and Social Sciences (Computing4Human 2020), Pohang, Korea; 02/2020.

  • O-Joun Lee, Jason J Jung: Computational Narrative Representation and Analytics. Proceedings of the 2nd International Conference on AI Humanities (ICAIH 2019), Seoul, Republic of Korea; 08/2019.

  • Luong Vuong Nguyen, O-Joun Lee, Hoang Long Nguyen, Sojung An, Jason J. Jung, Yue-Shan Chang: Crowdsourcing System for Measuring Cognitive Similarity in Recommendation System. Proceedings of the 2019 ISSAT International Conference on Data Science in Business, Finance and Industry, Da Nang, Vietnam; 07/2019.

  • O-Joun Lee, Jason J. Jung: Character Network Embedding-based Plot Structure Discovery in Narrative Multimedia. Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS 2019), Seoul, Korea; 06/2019. DOI:10.1145/3326467.3326485

  • O-Joun Lee, Nayoung Jo, Jason J. Jung: Measuring Character-based Story Similarity by Analyzing Movie Scripts. Proceedings of the 1st Workshop on Narrative Extraction From Text (Text2Story 2018), co-located with the 40th European Conference on Information Retrieval (ECIR 2018), Grenoble, France; 03/2018. Link

  • O-Joun Lee, Jason J. Jung: Explainable Movie Recommendation Systems by using Story-based Similarity. Proceedings of the workshop on Explainable Smart Systems (ExSS 2018), held in conjunction with the 23rd International Conference on Intelligent User Interfaces (IUI 2018), Tokyo, Japan; 03/2018. Link

  • Jason J. Jung, Minsung Hong, O-Joun Lee, Jaehong Park, Chang Choi: Towards Affective Lifelogging with Information Fusion. Proceedings of the 13th International Conference on Intelligent Environments (IE 2017), Seoul, Korea; 08/2017. DOI:10.1109/IE.2017.25

  • O-Joun Lee, Jason J. Jung: Affective Character Network for Understanding Plots of Narrative Contents. Proceedings of the 1st International Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), Murcia, Spain; 11/2016.

  • O-Joun Lee, Jason J. Jung, Eunsoon You: Predictive Clustering for Performance Stability in Collaborative Filtering Techniques. Proceedings of the 2nd IEEE International Conference on Cybernetics (CYBCONF 2015), Gdynia, Poland; 06/2015. DOI:10.1109/CYBConf.2015.7175905

  • Min-Sung Hong, O-Joun Lee, Jason J. Jung: Adaptive Clustering for Scalable Collaborative Filtering in Recommender Systems. Proceedings of the 3rd International Conference on Smart Media and Applications (SMA 2014), Chiang Mai, Thailand; 12/2014.

  • Min-Sung Hong, O-Joun Lee, Gyu-Chan Lim, Se-Jun Park, Seung-Hoon Kim, Jae-Dong Lee: Meta-data Configuration and Learning Technique for Wellness Content Recommendation. Proceedings of the 2014 International Conference on Computer Applications and Information Processing Technology (CAIPT 2014), Ulaanbaatar, Mongolia; 06/2014.

Book Chapters

  • Huu-Tuong Ho, Minh-Tien Pham, Quang-Duong Tran, Quang-Huy Pham, Quang Dieu Tran, Nguyen Ngoc Phi, O-Joun Lee, Luong Vuong Nguyen: MoviePoster-Grounded Contextual Visualization Using Multimodal Techniques. Intelligence of Things: Technologies and Applications - Proceedings of the 3rd International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, 09/2024, Edited by Nhu-Ngoc Dao, Quang-Dung Pham, Sungrae Cho, Ngoc Thanh Nguyen; Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 230): pages 88-99; Springer, Cham., ISBN: 978-3-319-98751-4, DOI:10.1007/978-3-031-75596-5_9
  • Nam Bui Khac Hoai, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee, Woongsoo Na: Network Engineering: Towards Data-Driven Framework for Network Configuration. Big Data Technologies and Applications - Proceedings of the 8th EAI International Conference on Big Data Technologies and Applications (BDTA 2017), Gwangju, South Korea, 11/2017, Edited by Jason J. Jung, Pankoo Kim, Kwang Nam Choi; Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 248): pages 60-65; Springer, Cham., ISBN: 978-3-319-98751-4, DOI:10.1007/978-3-319-98752-1_7
  • Quang Dieu Tran, Dosam Hwang, O-Joun Lee, Jason J. Jung: A Novel Method for Extracting Dynamic Character Network from Movie. Big Data Technologies and Applications - Proceedings of the 7th EAI International Conference on Big Data Technologies and Applications (BDTA 2016), Seoul, South Korea, 11/2016, Edited by Jason J. Jung, Pankoo Kim; Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 194): pages 48-53; Springer, Cham., ISBN: 978-3-319-58967-1, DOI:10.1007/978-3-319-58967-1_6
  • Khac-Hoai Nam Bui, O-Joun Lee, Jason J. Jung, David Camacho: Dynamic Traffic Light Control System Based on Process Synchronization Among Connected Vehicles. Ambient Intelligence- Software and Applications - Proceedings of the 7th International Symposium on Ambient Intelligence (ISAmI 2016), Seville, Spain, 06/2016, Edited by Helena Lindgren, Juan F. De Paz, Paulo Novais, Antonio Fernández-Caballero, Hyun Yoe, Andres Jiménez Ramírez, Gabriel Villarrubia; Advances in Intelligent Systems and Computing (AISC, volume 476): pages 77-85; Springer, Cham., ISBN: 978-3-319-40113-3, DOI:10.1007/978-3-319-40114-0_9
  • Khac-Hoai Nam Bui, Xuan Hau Pham, Jason J. Jung, O-Joun Lee, Min-Sung Hong: Context-Based Traffic Recommendation System. Context-Aware Systems and Applications - Proceedings of the 5th EAI International Conference on Context-Aware Systems and Applications (ICCASA 2015), Vung Tau, Vietnam, 11/2015, Edited by Cong Vinh Phan, Alagar Vangalur; Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 165): pages 122-131; Springer, Cham., ISBN: 978-3-319-29235-9, DOI:10.1007/978-3-319-29236-6_13
  • Myeong-Yeon Yi, O-Joun Lee, Jason J. Jung: MBTI-based Collaborative Recommendation System: A Case Study of Webtoon Contents. Context-Aware Systems and Applications - Proceedings of the 5th EAI International Conference on Context-Aware Systems and Applications (ICCASA 2015), Vung Tau, Vietnam, 11/2015, Edited by Cong Vinh Phan, Alagar Vangalur; Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 165): pages 101-110; Springer, Cham., ISBN: 978-3-319-29236-6, DOI:10.1007/978-3-319-29236-6_11
  • O-Joun Lee, Eunsoon You, Min-Sung Hong, Jason J. Jung: Adaptive Complex Event Processing Based on Collaborative Rule Mining Engine. Intelligent Information and Database Systems - Proceedings of the 7th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2015), Bali, Indonesia, 03/2015, Edited by Ngoc Thanh Nguyen, Bogdan Trawiński, Raymond Kosala; Lecture Notes in Computer Science (LNCS, volume 9011): pages 430–439; Springer, Cham., ISBN: 978-3-319-15701-6, DOI:10.1007/978-3-319-15702-3_42

Unpublished Manuscripts

  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: Discovering Spatial Correlations between Earth Observations in Global Atmospheric State Estimation by using Adaptive Graph Structure Learning. arXiv preprint 08/2025; arXiv:2508.07659. (Preprint) DOI:10.48550/arXiv.2508.07659
  • Van Thuy Hoang, Hyeon-Ju Jeon, O-Joun Lee: Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention. arXiv preprint 04/2025; arXiv:2504.15075. (Preprint) DOI:10.48550/arXiv.2504.15075
  • Van Thuy Hoang, O-Joun Lee: Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck. arXiv preprint 12/2024; arXiv:2412.15589. (Preprint) DOI:10.48550/arXiv.2412.15589
  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation. arXiv preprint 03/2024; arXiv:2403.17384. (Preprint) DOI:10.48550/arXiv.2403.17384
  • Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, O-Joun Lee: CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks. arXiv preprint 02/2024; arXiv:2402.14861. (Preprint) DOI:10.48550/arXiv.2402.14861
  • Van Thuy Hoang, O-Joun Lee: A Survey on Structure-Preserving Graph Transformers. arXiv preprint 01/2024; arXiv:2401.16176. (Preprint) DOI:10.48550/arXiv.2401.16176
  • Van Thuy Hoang, O-Joun Lee: Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures. arXiv preprint 12/2023; arXiv:2312.16788. (Preprint) DOI:10.48550/arXiv.2312.16788
  • Van Thuy Hoang, Sang Thanh Nguyen, Sangmyeong Lee, Jooho Lee, Luong Vuong Nguyen, O-Joun Lee: Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning. arXiv preprint 09/2023; arXiv:2309.03219. (Preprint) DOI:10.48550/arXiv.2309.03219
  • Van Thuy Hoang, O-Joun Lee: Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity. arXiv preprint 08/2023; arXiv:2308.09517. (Preprint) DOI:10.48550/arXiv.2308.09517
  • Thanh Sang Nguyen, Jooho Lee, Van Thuy Hoang, O-Joun Lee: Connector 0.5: A unified framework for graph representation learning. arXiv preprint 04/2023; arXiv:2304.13195. (Preprint) DOI:10.48550/arXiv.2304.13195