Thesis PapersJournal ArticlesBook ChaptersInternational PapersDomestic PapersPatentsAwards

Thesis Papers

  1. A Computational Model of Narrative Generation for Suspense, PhD dissertation in summer of 2007.PDF  link
  2. A Study on Tracking and Predicting the Face Trajectories Using Neural Network, Master degree thesis at Sungkyunkwan University, 1997. PS (written in Korean)

Journal Articles

  1. Cheong, Kai Xiong, Zhang, Chenxi, Tan, Tien-En, Fenner, Beau J, Wong, Wendy Meihua, Teo, Kelvin YC, Wang, Ya Xing, Sivaprasad, Sobha Keane, Pearse A, Lee, Cecilia Sungmin, Lee, Aaron Y, Cheung, Chui Ming Gemmy, Wong, Tien Yin, Cheong, Yun-Gyung, Song, Su Jeong, and Tham, Yih Chung. Comparing generative and retrieval-based chatbots in answering patient questions regarding age-related macular degeneration and diabetic retinopathy. British Journal of Ophthalmology. 2024 (IF 4.1, Q1, 12/62 in OPHTHALMOLOGY).  link
  2. Evaluating Unsupervised Deep Learning Models for Network Intrusion Detection Using Real Security Event Data. Jiho Jang, Dongjun Lim, Changmin Seong, JongHun Lee, Jong-Geun Park, Yun-Gyung Cheong. International Journal of Advanced Smart Convergence Vol.11 No.4 10-19 (2022).  link
  3. Song Y, Hyun S, Cheong Y-G. Analysis of Autoencoders for Network Intrusion Detection. Sensors. 2021; 21(13):4294. https://doi.org/10.3390/s21134294 (IF 3.9)  link
  4. Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong, A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization, Swarm and Evolutionary Computation (2021) (IF 10).  link
  5. Hye-Yeon Yu, Yun-Gyung Cheong, and Byung-Chull Bae. 2021. Extracting and Clustering of Story Events from a Story Corpus. KSII Transactions on Internet and Information Systems, 15, 10, (2021), 3498-3512. DOI: 10.3837/tiis.2021.10.002. (IF 1.5)  link
  6. Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong. Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization. IEEE Access ( Volume: 8 ), 8720 - 8734, 06 January 2020, Electronic ISSN: 2169-3536. (IF: 3.9). PDF
  7. 클래스 불균형 데이터에 적합한 기계 학습 기반 침입 탐지 시스템. 정윤경, 박기남, 김현주, 김종현, 현상원. 정보보호학회논문지. 27권 6호. 2017년 12월31일. [연구재단 등재지] Machine Learning Based Intrusion Detection Systems For Class Imbalanced Datasets. Yun-Gyung Cheong, Kinam Park, Hyunjoo Kim, Jonghyun Kim, Sangwon Hyun. Journal of The Korea Institute of Information Security & Cryptology. VOL.27, NO.6, Dec. 2017.
  8. Query Categorization from Web Search Logs Using Machine Learning Algorithms. Christian Højgaard, Joachim Sejr, Yun-Gyung Cheong. International Journal of Database Theory and Application. Vol. 9, No. 9, pp.139-148, September 2016. [SCOPUS]PDF  link
  9. Detecting Predatory Behavior in Game Chats. Cheong, Y.-G., Jensen, A.K.,Gudnadottir, E.R., Bae., B.-C., Togelius, J. IEEE Transactions on Computational Intelligence and AI in Games, Volume:7, no: 3, pp. 220 - 232, 10 September 2015. link
  10. Suspenser: A Story Generation System for Suspense. Cheong, Y.-G. and Young, R. M. IEEE Transactions on Computational Intelligence and Artificial Intelligence in Games, Volume:7, no: 1, pp. 39 - 52, 14 May 2015. link
  11. Directional pedestrian counting with a hybrid map-based model. Gyu-Jin Kim, Tae-Ki An, Jin-Pyung Kim, Yun-Gyung Cheong, Moon-Hyun Kim. International Journal of Control, Automation and Systems February 2015, Volume 13, Issue 1, pp 201-211. link
  12. Procedural Content Generation for Games. Cheong, Y.-G. and Bae, B.-C. Korea Information Science Society Review. Vol. 31 (no. 7), July, 2013 (written in Korean). PDF

Book Chapters

  1. Yun-Gyung Cheong. An Educator’s Guide to Interactive Digital Narrative: Syllabi and Resources From Around the World, (Eds) Joshua A. Fisher, María Cecilia Reyes, Jonathan Barbara. Carnegie Mellon University Press. (To appear)  link
  2. Cheong, Y.-G., Khaled, R., Holmgard, C., Yannakakis, G. N. Serious Games for Teaching Conflict Resolution: Modeling Conflict Dynamics, Conflict and negotiation: Social research and machine intelligence. Part of the series Computational Social Sciences, pp 449-475, D’Errico, F., Vinciarelli, A., and Poggi, I. (Eds.), Springer, 14 February 2015.  link  link2
  3. Chapter 7. Planning with applications to quests and story. Cheong, Y.-G., Riedl, M. O., Bae, B.-C., Nelson, M. J. Procedural Content Generation in Games. Shaker, N., Togelius, J., and Nelson, M. J. (Eds.), pp. 123-141, Springer International Publishing (ISBN 978-3-319-42716-4), 2016. link

International Papers

2025

  1. Suyoung Bae, Gunhee Cho, Boyang Li, and Yun-Gyung Cheong. CharMoral: A Character Morality Dataset for Morally Dynamic Character Analysis in Long-Form Narratives. COLING 2025 (To appear).

2024

  1. Dongjun Lim and Yun-Gyung Cheong. Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification. EMNLP 2024, November 12-16, 2024, Miami, Florida, USA.  link 
  2. Honggu Kim, Minwoo Kang, Hyeyoung Choi, and Yun-Gyung Cheong. Dataset Generation for Korean Urban Parks Analysis with Large Language Models. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM ‘24), October 21–25, 2024, Boise, ID, USA  link 
  3. Youngrok Song, Gunhee Cho, HyunJu Kim, Youngjune Kim, Byung-Chull Bae, Yun-Gyung Cheong. A Conflict-Embedded Narrative Generation Using Commonsense Reasoning. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. AI, Arts & Creativity. Pages 7744-7752.  link 
  4. Taewoo Yoo and Yun-Gyung Cheong. Leveraging LLM-Constructed Graphs for Effective Goal-Driven Storytelling. LKM2024: The First International OpenKG Workshop (Large Knowledge-Enhanced Models). co-located with IJCAI 2024, August 3, 2024.
  5. Bae, Byung-chull, Lee, Jae-yon, Park, Seyoung. Cheong, Yun-gyung. Crafting Twist Ending: A Human-AI Collaborative Writing Tool for Short Stories. DH 2024. August 6-9, 2024  link 

2023

  1. Bae, BC., Kim, Y., Yu, M., Park, S., Kim, Y., Cheong, YG. (2023). Toward an AI-Collaborated Authoring Tool for Writing Flash Fiction. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. Springer, Cham. https://doi.org/10.1007/978-3-031-36004-6_51. link 
  2. S. Y. Bae, E. C. Kim and Y. G. Cheong, “Extended Abstract: Predicting the Morality of a Character Using Character-Centric Embeddings,” 2023 IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju, Korea, Republic of, 2023, pp. 345-346, doi: 10.1109/BigComp57234.2023.00076. link 
  3. C. Seong, D. Lim, J. Jang, J. Lee, J. -G. Park and Y. -G. Cheong, “Multivariate Time Series Anomaly Detection with Deep Learning Models Leveraging Inter-Variable Relationships,” 2023 Silicon Valley Cybersecurity Conference (SVCC), San Jose, CA, USA, 2023, pp. 1-8, doi: 10.1109/SVCC56964.2023.10165468. link 

    2022

  4. Eunchong Kim, Taewoo Yoo, Gunhee Cho, Suyoung Bae, and Yun-Gyung Cheong. 2022. The CreativeSumm 2022 Shared Task: A Two-Stage Summarization Model using Scene Attributes. In Proceedings of The Workshop on Automatic Summarization for Creative Writing, pages 51–56, Gyeongju, Republic of Korea. Association for Computational Linguistics. link 
  5. JinUk Cho, MinSu Jeong, JinYeong Bak, and Yun-Gyung Cheong. 2022. Genre-Controllable Story Generation via Supervised Contrastive Learning. In Proceedings of the ACM Web Conference 2022 (WWW ’22), April 25–29, 2022, Virtual Event, Lyon, France. ACM, New York, NY, USA, 11 pages.  PDF
  6. Improving a Graph-to-Tree Model for Solving Math Word Problems. Hyunju Kim, Junwon Hwang, Taewoo Yoo, Yun-Gyung Cheong. IMCOM 2022. PDF

    2021

  7. Towards Building Intrusion Detection Systems for Multivariate Time Series Data. ChangMin Seong, YoungRok Song, Jiwung Hyun, Yun-Gyung Cheong. Silicon Valley Cybersecurity Conference 2021 (SVCC 2021), December 3-4, 2021. PDF
  8. Jung Hoon Lee, Min-Su Jeong, Jin-Uk Cho, Hyun-Kyu Jeon, Jong-Hyeok Park, Kyoung-Deok Shin, Su-Jeong Song, Yun-Gyung Cheong. Developing a Ophthalmic Chatbot System, 2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM), Seoul, Korea (South), 2021, pp. 1-7, doi: 10.1109/IMCOM51814.2021.9377398. link
  9. A Peer Learning Method for Building Robust Text Classification Models. Hyun-Kyu Jeon, Yun-Gyung Cheong. The Second Workshop on Multimodal, Expeditive, Generative and Actionable AI (MEGA AI 2021). January 20, 2021, Jeju Island, Korea.

    2020

  10. A Systematic Approach to Building Autoencoders for Intrusion Detection. Youngrok Song, Sangwon Hyun, Yun-Gyung Cheong. Silicon Valley Cybersecurity Conference 2020 (SVCC 2020), December 17-19, 2020. PDF
  11. Developing a Korean QA Chatbot for a Medical Domain Using a Multi-step Retrieval Approach. Min-Su Jeong, Su-Jeong Song, Yun-Gyung Cheong. The 9th International Conference on Smart Media and Applications (SMA 2020) . September 17-19, 2020, Jeju, Republic of Korea.
  12. Automatic Rap Lyrics Generation with Rhymes Through Korean Syllables. Chansol Park and Yun-Gyung Cheong. The 9th International Conference on Smart Media and Applications (SMA 2020) . September 17-19, 2020, Jeju, Republic of Korea.
  13. Jung-Hoon Lee, You-Jin Kim, Yun-Gyung Cheong. Predicting Quality and Popularity of a Movie From Plot Summary and Character Description Using Contextualized Word Embeddings, IEEE Conference on Games (CoG) 2020, Aug 24-27, 2020, Kyoto, Japan. link
  14. Youngrok Song, Hyunju Kim, Taewoo Yoo, Byung-chull Bae, Yun-Gyung Cheong, An Intelligent Storytelling System for Narrative Conflict Generation and Resolution, IEEE Conference on Games (CoG) 2020, Aug 24-27, 2020, Kyoto, Japan. link
  15. Jung-Hoon Lee, Hyun-Ju Kim, Yun-Gyung Cheong. Multi-modal Approach for Emotion Recognition of TV Drama Characters Using Image and Text. The 1st International Workshop on Conceptual Modeling for Big Data and Smart Computing (CMComp 2020) (Co-located with BigComp 2020). Busan, South Korea, 2020.2.19.
  16. Seo-Hui Park, Byung-Chull Bae, Yun-Gyung Cheong. Emotion Recognition from Text Stories Using an Emotion Embedding Model. The First Workshop on Multimodal, Expeditive, Generative and Actionable AI (MEGA AI) 2020 (Co-located with BigComp 2020), Busan, South Korea, 2020.2.19.
  17. Jiwung Hyun, Byung-Chull Bae, Yun-Gyung Cheong, Multi-label Text Classification Using an Emotion Embedding Model, 3rd Workshop on Affective Content Analysis, Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7, 2020. AffCon2020

Previous

  1. Emotion-based Story Event Clustering. Hye-Yeon Yu, Seohui Park, Yun-Gyung Cheong, Moon-Hyun Kim, and Byung-Chull Bae. ICIDS 2019. Utah, U.S.A.
  2. Prediction of a Movie’s Success From Plot Summaries Using Deep Learning. Yujin-Kim, Jung-Hoon Lee, Yun-Gyung Cheong. Storytelling Workshop 2019 August 1, 2019. Florence, Italy (Co-located with ACL 2019). link
    Media: techworld  AAAS Science  TECH TIMES
  3. Ahn DK., Cheong YG., Bae BC. (2019) Design Considerations for Developing a Mobile Storytelling Game Application. In: Stephanidis C., Antona M. (eds) HCI International 2019 – Late Breaking Posters. HCII 2019. Communications in Computer and Information Science, vol 1088. pp. 3-8. Springer, Cham. &nbsplink
  4. Modeling Happiness Using One-Class Autoencoders. Yun Gyung Cheong, Youngrok Song, and Byung-Chull Bae. AffCon2019 workshop at AAAI 2019 (workshop paper), Honolulu, USA, 27, Jan. - 1, Feb., 2019.  PDF  fast_forward PDF  AffCon2019
  5. A Demonstration of an Intelligent Storytelling System. Yun-Gyung Cheong, Woo-Hyun Park, Hye-Yeon Yu. ACM Multimedia 2018 , Seoul, South Korea, 22-26, October, 2018 [Demo paper].  link
  6. Classification of Attack Types for Intrusion Detection Systems using a Machine Learning Algorithm, Kinam Park, Youngrok Song, Yun-Gyung Cheong. IEEE International Workshop on Big Ddata Security and Services in Conjunction With IEEE BIGDATASERVICE 2018. 26, March, 2018. Bamberg, Germany.

    In this paper, we present the results of our experiments to evaluate the performance of detecting different types of attacks (e.g., IDS, Malware, and Shellcode). We analyze the recognition performance by applying the Random Forest algorithm to the various datasets that are constructed from the Kyoto 2006+ dataset, which is the latest network packet data collected for developing Intrusion Detection Systems. We conclude with discussions and future research projects.

  7. A Performance Comparison of Crossover Variations in Differential Evolution for Training Multi-layer Perceptron Neural Networks. Choi, Tae Jong, Cheong, Yun-Gyung, and Ahn, Chang Wook. (2018). In 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part II. 477-488.
  8. Predicting Emotion in Movie Scripts Using Deep Learning. Dong-Min Kim, Seong-Ho Lee, and Yun-Gyung Cheong. 2018 IEEE International Conference on Big Data and Smart Computing (BigComp). 15-17 Jan. 2018, Shanghai, China.
  9. A Database-Centric Architecture for Interactive Storytelling. Cheong, Yun-Gyung and Park, Kinam and Park, Woo-Hyun and Bae, Byung-Chull. Proceedings of the 12th International Conference on the Foundations of Digital Games (FDG). Article No. 49 . August 14 - 17, 2017 , Hyannis, Massachusetts, USA. ACM New York, NY, USA.[SCOPUS] link
  10. Analyzing Movie Scripts as Unstructured Text. Seong-Ho Lee, Hye-Yeon Yu, Yun-Gyung Cheong. 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService), Big Data Security Workshop, 6-9 April 2017, San Francisco, CA, USA.
  11. Towards Procedural Game Story Creation via Designing Story Cubes. Byung-Chull Bae, Gapyuel Seo and Yun-Gyung Cheong. In the 9th International Conference on Interactive Digital Storytelling (ICIDS), November 15-18, The Institute for Creative Technologies, The University of Southern California, Los Angeles, USA, 2016
  12. Query Disambiguation from Web Search Logs. Christian Hojgaard, Joachim Sejr, and Yun-Gyung Cheong. Advanced Science and Technology Letters, Vol.133 (Information Technology and Computer Science 2016), pp.90-94, April 19-21, Jeju, South Korea, 2016. link
  13. Bird Attack: Interactive Story with Variable Focalization. Irmelin Henriette C. Prehn, Byung-Chull Bae, Yun-Gyung Cheong. In the 8th International Conference on Interactive Digital Storytelling (ICIDS). Copenhagen, Denmark, 2015. (LNCS 9445: Interactive Storytelling, pp 389-392, Springer International Publishing). link
  14. Visualizing Privacy Risks of Mobile Applications through a Privacy Meter. Jina Kang, Hyoungshick Kim, Yun Gyung Cheong, Jun Ho Huh. In Proceedings of the 11th International Conference, ISPEC 2015, Beijing, China, May 5-8, 2015 (LNCS 9065: Information Security Practice and Experience, pp 548-558). link
  15. Comparison of narrative comprehension between players and spectators in a story-driven game. Miki Nørgaard Anthony, Byung-Chull Bae, and Yun-Gyung Cheong. In the 7th International Conference on Interactive Digital Storytelling (ICIDS). Singapore, 3-6 November 2014.
    link
  16. Telling stories via the gameplay reflecting a player character’s inner states. Achim Wache, Byung-Chull Bae, Yun-Gyung Cheong, and Daniel Vella. In the 7th International Conference on Interactive Digital Storytelling (ICIDS). Singapore, 3-6 November 2014. link
  17. A Storytelling Game with Metaphor. Andreas Magnus Reckweg Kuni, Byung-Chull Bae, and Yun-Gyung Cheong. In the 7th International Conference on Interactive Digital Storytelling (ICIDS). Singapore, 3-6 November 2014. link
  18. Evaluating Musical Foreshadowing of Videogame Narrative Experiences. Scirea, M.,Cheong, Y.-C., Nelson, M. J., and Bae, B.-C. In the Proceedings of the 9th Audio Mostly. Aalborg, Denmark, October 1-3. link
  19. Mood Expression in Real-time Computer Generated Music Using Pure Data. Scirea, M., Bae, B.-C., and Cheong, Y.-C. In the Proceedings of the 13th ICMPC (International Conference on Music Perception and Cognition). Seoul, South Korea, August 4-8, 2014.
  20. A Prototype using Territories and an Affordance Tree for Social Simulation Gameplay. Geishauser, T., Cheong, Y.-C., and Nelson, M.J. In the Proceedings of FDG (Foundations of Digital Games). Ft. Lauderdale, FL, USA, April 3-7, 2014. PDF  link
  21. Detecting Predatory Behaviour in Online Game Chats. Gudnadottir, E. R., Jensen, A., Cheong, Y.-G., Togelius, J., Bae, B.-C., Holmgard, C. In the Proceedings of the 2nd Workshop on Games and NLP (GAMNLP-13) at the International Conference on Interactive Digital Storytelling (ICIDS), Istanbul, Turkey, November, 2013. PDF
  22. 2nd Workshop on Games and NLP (GAMNLP-13). Tomuro, N. and Cheong, Y.-G. LNCS 8230: Interactive Storytelling, Koenitz et al. (Eds.), pp. 265-266, In the Proceedings of the 6th International Conference on Interactive Digital Storytelling (ICIDS), Istanbul, Turkey, November, 2013.
  23. Modeling Foreshadowing in Narrative Comprehension for Sentimental Readers. Bae, B.-C., Cheong, Y.-G., and Vella, D. H. LNCS 8230: Interactive Storytelling, Koenitz et al. (Eds.), pp. 1-12, In the Proceedings of the 6th International Conference on Interactive Digital Storytelling (ICIDS), Istanbul, Turkey, November, 2013. LNCS link
  24. Player Perspectives to Unexplained Agency-Related Incoherence. Pirtola, M. I. A., Cheong, Y.-G., Nelson, M. J. LNCS 8230: Interactive Storytelling, Koenitz et al. (Eds.), pp. 156-167, In the Proceedings of the 6th International Conference on Interactive Digital Storytelling (ICIDS), Istanbul, Turkey, November, 2013. LNCS link
  25. Towards Validating Game Scenarios for Teaching Conflict Resolution. Y.-G. Cheong, C. Grappiolo, C. Holmgrd, F. Berger, R. Khaled and G. N. Yannakakis. Games for Learning workshop at FDG, Chania, Greece, May, 2013. PDF
  26. Unexplained Agency-related Incoherence in Anachronic and Linear games. Miika Ilari Arhippa Pirtola, Yun-Gyung Cheong, Mark J. Nelson. Narrative Minds and Virtual Worlds conference
  27. A Lightweight Story-Comprehension Approach to Game Dialogue. Robert P. van Leeuwen, Yun-Gyung Cheong and Mark J. Nelson. In the Proceedings of the 1st Workshop on Games and NLP (GAMNLP-12), JapTAL (the 8th International Conference on Natural Language Processing), Kanazawa, Japan, October 23, 2012. PDF
  28. Generating Narrative Action Schemas for Suspense. Giannatos S., Cheong, Y.-G., Nelson, M.J., and Yannakakis, G. In the Proceedings of the 5th Workshop on Intelligent Narrative Technologies (INT5), AIIDE. AAAI Press, 2012. PDF
  29. Modelling Global Pattern Formations for Collaborative Learning Environments. Grappiolo, C., Cheong, Y.-G. Khaled, R., Yannakakis, G. N. In the Proceedings of the IEEE international conference on Advanced Learning Technologies (ICALT) 2012 Doctoral Consortium. Rome, July 4-6, 2012. PDF
  30. Between Intention and Improvisation: Limits of Gameplay Metrics Analysis and Phenomenological Debugging. Alessandro Canossa and Yun-Gyung Cheong. DiGRA 2011, Amsterdam, the Netherlands, September, 2011.
  31. Suggesting New Plot Elements for an Interactive Story. S. Giannatos, M. Nelson, Y.-G. Cheong and G. N. Yannakakis. In the Proceedings of the 4th Workshop on Intelligent Narrative Technologies, AIIDE, AAAI Press, 2011. PDF
  32. Automated Story Generation with Multiple Internal Focalization. Byung-Chull Bae, Yun-Gyung Cheong, R. Michael Young. In the Proceedings of CIG (Computational Intelligence in Games) 2011, pp. 211-218, Seoul, South Korea, August 31th - September 3rd, 2011. PDF
  33. A Computational Approach Towards Conflict Resolution for Serious Games. Cheong, Y-G, Khaled R, Grappiolo C, Campos J, Martinho C, Ingram GPD, Paiva A, Yannakakis G. In the Proceedings of FDG (Foundations of Digital Games) 2011, pp. 15-22, Bordeaux, France, June 28th - July 1st, 2011, ACM New York, NY, USA. PDF
  34. Toward a Computational Model of Focalization in Narrative. Byung-Chull Bae, Yun-Gyung Cheong, R. Michael Young. In the Proceedings of FDG (Foundations of Digital Games) 2011, pp. 313-315, Bordeaux, France, June 28th - July 1st, 2011, ACM New York, NY, USA. PDF
  35. Towards Player Adaptivity in a Serious Game for Conflict Resolution. Corrado Grappiolo, Yun-Gyung Cheong, Julian Togelius, Rilla Khaled, Georgios N. Yannakakis. In the Proceedings of Games and Virtual Worlds for Serious Applications (VS-GAMES) 2011, Natural Interaction and Player Satisfaction in Games Workshop. pp. 192-198, Athens, Greece. May 4-6, 2011. PDF
  36. An Ontology-based Reasoning Approach Towards Energy-Aware Smart Homes. Yun-Gyung Cheong, Yeo-Jin Kim, Seung Yeol Yoo, Hosub Lee, Sunjae Lee, Seung Chul Chae, Hyun-Jin Choi. In the Proceedings of IEEE Consumer Communications and Networking Conference (CCNC 2011), pp. 850-854, Las Vegas, Nevada, USA, January 9-12, 2011. PDF
  37. An Interactive-Content Technique Based Approach to Generating Personalized Advertisement for Privacy Protection. Min, Wook-Hee and Cheong, Yun-Gyung. LNCS 5618: Human Interface, Part II, HCII 2009, M.J. Smith and G. Salvendy (Eds.), pp. 185-191, In the Proc. of HCI International Conference (HCII 2009), San Diego, California, USA, 19-24 July 2009. PDF
  38. Narrative Generation for Suspense: Modeling and Evaluation by Cheong, Yun-Gyung and Young, Michael. Interactive Storytelling: LNCS 5334. pp. 144-155, In the Proc. of Interactive Storytelling ‘08, Erfurt, Germany, November 26-29, 2008, Ulrike Spierling and Nicolas Szilas (Eds.), Springer Berlin Heidelberg. PDF
  39. PRISM: A Framework for Authoring Interactive Narratives by Cheong, Yun-Gyung, Kim, Yeo-Jin, Min, Wook-Hee, Shim, Eok-Soo, and Kim, Jin-Young. Interactive Storytelling: LNCS 5334. pp. 297-308, In the Proc. of Interactive Storytelling ‘08, Erfurt, Germany, November 26-29, 2008, Ulrike Spierling and Nicolas Szilas (Eds.), Springer Berlin Heidelberg. PDF
  40. Automatically Generating Summary Visualizations from Game Logs by Cheong, Yun-Gyung, Jhala, Arnav, Bae, Byung-Chull, and Young, Michael. In the Proc. of AIIDE 2008, Stanford, CA, USA, October 22-24, 2008. PDF
  41. Planning-Integrated Story Graph for Interactive Narratives by Min, Wook-Hee, Shim, Eok-Soo, Kim, Yeo-Jin, and Cheong, Yun-Gyung. In the Proc. of ACM Multimedia 2008 SRMC (Story Representation Mechanism Context) Workshop, Vancouver, BC, Canada, October 27-31, 2008. PDF
  42. A Computational Model of Narrative Generation for Suspense by Cheong, Yun-Gyung, and Young, R. Micahel. In the Proc. of the Twenty-First AAAI 2006 Computational Aesthetic Workshop, Boston, MA, USA, July 16, 2006. PDF
  43. A Framework for Summarizing Game Experiences as Narratives by Cheong, Yun-Gyung and Young, R. Michael. In the Proc. of the Second Conference on Artificial Intelligence and Interactive Digital Entertainment, Marina del Rey, CA, USA, June 20-23, 2006. PDF  poster
  44. A Computational Model of Narrative Generation for Suspense by Cheong, Yun-Gyung. In the Proc. of the Twenty-First AAAI doctoral consortium (AAAI’06), Boston, MA, USA, July 16-17, 2006. PDF
  45. Automatic Generation of Warning Instructions from Plan Spaces. Yun Gyung Cheong. Technical Report TR04-002, Liquid Narrative Group, Department of Computer Science, North Carolina State University, 2004. PDF
  46. Prediction of eye trajectories based on the ART neural network. Jong-Hei Ra, Yun-Kyoung Chung, Moon-Hyun Kim. In the Proc. of IC-AI2000, vol. 2, pp. 845-850, Las vegas, NV, June 2000. PDF
  47. OMS for Replicated HLR System in Mobile Communications. Yun-Gyung Cheong, Sung-Ah Kim, Moon-Suk Chung. In the Proc. of Korea Institute of Communication Science Workshop, Fall 2000. PDF
  48. Fraud Management System for detecting illegal user in Mobile Communications. Yun-Gyung Cheong, Hyoung-Sun Park, Moon-Suk Chung. In the Proc. of Korea Institute of Communication Science Workshop, Fall 1999. PDF (written in Korean)

Domestic Papers

  1. 한국어 리뷰 속성기반 감성분석. 우지은, 허지원, 원태연, 고영중, 정윤경. 한국정보과학회 KCC 2024.06.26-28.
  2. DPO를 통한 LLM의 비주류 언어 표현력 강화: 추론 능력 향상 분석. 장지호, 김재광, 정윤경. 한국정보과학회 KCC 2024.06.26-28.
  3. 페르소나 대화 평가자로서의 거대언어모델은 자기중심적 편향을 가지는가? 김홍구, 조건희, 이종현, 정윤경. 한국정보과학회 KCC 2024.06.26-28.
  4. Autoencoder 기반 5G 네트워크 공격 탐지 성능 평가. 임동준, 장지호, 이종훈, 박종근, 정윤경. 한국정보과학회 KSC 2023.12.20-22.
  5. KcELECTRA와 GPT-3.5의 한국어 혐오 표현 탐지 성능 비교 분석. 우지은, 유혜연, 정윤경. 한국정보과학회 KSC 2023.12.20-22.
  6. Building Autoencoder Models for Detecting Real Network Attacks. 장지호, 임동준, 성창민, 이종훈, 박종근, 정윤경. 한국인공지능학회 추계학술대회 2022.11.18  PDF
  7. Can Language Model Learn Ethics? Predicting Characters’ Morality by Learning Character Embedding. 배수영, 김은총, 정윤경. 한국인공지능학회 추계학술대회 2022.11.18.  PDF
  8. Learning scene representation using character-centered graph. 김은총, 정윤경. 한국인공지능학회 추계학술대회 2022.11.18  PDF
  9. 인과 추론 문제 해결에 적합한 자연어 처리 모델 BART 분석. 조건희, 성창민, 김은총, 정윤경. 한국정보과학회 KCC 2022.06.29-07.01. PDF
  10. 멀티 도메인 대화 데이터 셋을 사용한 문서 검색 모델 성능 개선. 배수영, 김은총, 정윤경. 한국정보과학회 KCC 2022.06.29-07.01. PDF
  11. 인물 정보 태그를 활용한 드라마 영상의 이미지 캡셔닝 성능 개선. 김현주, 조진욱, 현지웅, 정윤경. 한국정보과학회 KCC 2021.06.23-25. (AWARDED)  PDF
  12. 가우시안 혼합 변분 오토인코더를 활용한 네트워크 침입 탐지 시스템. 성창민, 송영록, 박종혁, 정윤경. 한국정보과학회 KCC 2021.06.23-25. PDF
  13. 제어 가능한 한국어 자연어 생성 모델. 김은총, 정민수, 전현규, 정윤경. 한국정보과학회 KCC 2021.06.23-25. PDF
  14. 어텐션 제약 메모리 증강 오토인코더를 활용한 침입 탐지 시스템. 현지웅, 정윤경. 한국정보과학회 KSC 2020. 2020.12.21-23.
  15. 한국어 텍스트 데이터를 위한 변형적 데이터 증강 방법론. 조진욱, 정민수, 이정훈, 정윤경. 한국정보과학회 KSC 2020. 2020.12.21-23.
  16. 유사도 기반의 한국어 발화 의도 인식을 위한 임베딩 방식 비교. 정민수, 정윤경. 한국정보과학회 KCC 2020.
  17. 한글 자소분리 및 머신러닝을 이용한 불법 의약품 판매 게시물 탐지방법. 박종혁, 조소영, 이종혁, 임현태, 정윤경. 한국정보과학회 KCC 2020.
  18. 감정점수를 활용한 시퀀스-투-시퀀스 기반 텍스트 요약. 김유진, 정윤경. 한국정보과학회 KCC 2019, 한국컴퓨터종합학술대회 논문집. 2019.06. 524 - 526 (3 pages), 2019년 6월 26-28일. 제주도, 대한민국.
  19. 텍스트 스토리에서 이벤트 추출 및 표현 방법 연구. 박서희, 유혜연, 정윤경, 배병철. 한국정보과학회 KCC 2019, 한국컴퓨터종합학술대회 논문집. 2019.06. pp. 925-927. 2019년 6월 26-28일. 제주도, 대한민국.
  20. Word2vec 임베딩을 이용한 책 추천 시스템. 이정훈, 정윤경. 한국정보과학회 KCC 2019, 한국컴퓨터종합학술대회 논문집. 2019.06. pp. 922 - 924. 2019년 6월 26-28일. 제주도, 대한민국.
  21. 3D 환경에서 실시간 캐릭터 추적 카메라 구현. 소청, 정윤경. 2019 한국 게임학회 추계 학술발표대회 논문집. 2019년 10월 28-29일. 서울, 대한민국.
  22. 수학적 방식 기반 가상 카메라 경로 계산 및 구현. 소청, 정윤경. 2019년도 한국멀티미디어학회 추계학술발표대회 논문집 제22권 2호. 2019년 11월 15-16일. 서울, 대한민국.
  23. 스토리텔링을 위한 PYDDL 플래너와 PYDPOCL 플래너의 비교 및 분석. 박한나, 송영록, 정윤경. KSC 2018, 2018년 12월 19-21일. 강원도, 대한민국.
  24. 단어의 벡터화 방식과 주의 메커니즘 사용 여부에 따른 쳇봇 모델의 성능 비교. 이석범, 정윤경. KCC 2018, 2018년 6월 20-22일. 제주도, 대한민국.
  25. GAN 알고리즘을 이용한 네트워크 위협 탐지. 박기남, 김현주, 김종현, 정윤경. 2018년도 한국통신학회 추계종합학술발표회,2018년 11월 17일, 서울, 대한민국.
  26. 음식점 가짜 리뷰 판별을 위한 기계학습 방법 비교. 강지우, 김동욱, 송이현, 이석범, 이범진, 정윤경. 2017 한국소프트웨어종합학술대회 논문집. 2017년 12월 20~22, 부산 벡스코 컨벤션홀.
  27. 불균형 데이터를 이용한 기계 학습 기반 침입 탐지 성능 실험 설계 및 분석. 박기남, 송영록, 정윤경. 2017 한국소프트웨어종합학술대회 논문집. 2017년 12월 20~22, 부산 벡스코 컨벤션홀.
  28. A Study of Planning-based Interactive Narrative Structure for Empathy. Byung-Chull Bae, Yun-Gyung Cheong. 한국정보과학회 학술발표논문집. 1632-1632. 2017/6
  29. 감성 기반 대중음악 추천 기계 학습 알고리즘에 관한 연구. 최원혁, 정윤경. 인문사회과학기술융합학회 2017년 추계학술대회. 10.27, 충주.
  30. 머시니마에서의 대화 장면 연출을 위한 카메라 제어. 김호성, 정윤경. 2017 년도 한국멀티미디어학회 춘계학술발표대회 논문집 제 20 권 1 호, pp. 929-930.
  31. 시나리오 감정 분석을 위한 자연어 처리 (Natural language Processing of Scenarios for Sentiment Analysis). 이성호, 정윤경. 정보과학회 제43회 정기총회 및 동계학술발표회, 강원도, 12.17-12.19, 2016. (R71151610060001002) link
  32. 무인 탐사선의 최단 경로 탐색 알고리즘 분석. 장명재, 정윤경. 정보과학회 제43회 정기총회 및 동계학술발표회, 강원도, 12.17-12.19, 2016. (R71151610060001002)
  33. Unity 게임 엔진의 Fungus Asset을 이용한 스토리 시각화 (Story Visualization using a Unity Game Engine Asset-Fungus). 이재현, 정윤경. 정보과학회 제43회 정기총회 및 동계학술발표회, 강원도, 12.17-12.19, 2016. (R71151610060001002).
  34. AI 계획 기술 기반 지능형 서사 생성 시스템 개발 (Developing an Intelligent Narrative Generation System), 박우현, 유혜연, 정윤경. 정보과학회 제43회 정기총회 및 동계학술발표회, 강원도, 12.17-12.19, 2016. (R71151610060001002)
  35. 3D 장기 Game 시스템 설계 및 구현, 박우현, 정윤경. 2016년 한국게임학회 추계학술대회 논문집. 부산, 11.19, 2016. (R2215-16-1005)
  36. Unity 게임 엔진을 이용한 영화 스토리 구현. 이재현, 정윤경. 한국멀티미디어학회 추계학술발표대회 논문집 제19권 2호, 10.21-22, 부산, 2016. (R2215-16-1005)
  37. AI 기반 서사 생성 시스템 설계 및 구현. 정윤경, 유혜연. 한국멀티미디어학회 추계학술발표대회 논문집 제19권 2호, 10.21-22, 부산, 2016. (R2215-16-1005)
  38. AI 계획 기반 스토리텔링 연구 사례. 정윤경, 배병철. 2016 한국컴퓨터종합학술대회 (KCC), 2016년 6월 29일-7월 1일, 제주 ICC, 2016.(R2215-16-1005) link
  39. 무인 탐사선의 최단 경로 탐색 알고리즘 분석을 위한 Simulation 연구. 장명재, 정윤경. 2016년도 한국멀티미디어학회 춘계학술발표대회 논문집, 19권 1호, 5월 27일, 2016. (학부생 논문)

Patents

US PatentsKorean Patents

US Patents

  1. Prediction of Media Success from Polot Summaries Using Machine Learning Model. Yujin-Kim, Jung-Hoon Lee, Yun-Gyung Cheong. U.S. Patent number: 11,630,950 B2, Registered on Apr. 18, 2023.
  2. TIME SERIES ANOMALY DETECTION METHOD USING GRU-BASED MODEL. Chang Min Seung, Yun-Gyung Cheong. U.S. Patent number: 18/098,777, filed on Jan. 19, 2023.
  3. Storage medium, apparatus, and method to author and play interactive content. Kim; Yeo-Jin, Cheong; Yun-Gyung, Shim; Eok-Soo, Min; Wook-Hee. U.S. Patent number: 9,268,774, Registered on February 23, 2016.
  4. Apparatus and method for generating probabilistic graphical model based on time-space structure. Yeo-Jin Kim, Byoung-Tak, Byung-Chull Bae, Hyun-Jin Choi, Yun-Gyung Cheong, Young-Sang Choi. U.S. Patent number: 8,645,307, Registered on February 4, 2014.
  5. Apparatus and Method for Providing Digital Content. Yeo-Jin Kim, Yun-Gyung Cheong. U.S. Patent number: 8,386,933, Registered on February 26, 2013.
  6. Data Processing Apparatus and Method for Constructing Interactive Contents and Recording Media. Yun-Gyung Cheong. U.S. Patent number: 8,266,093, Registered on September 11, 2012.

Korean Patents

Registered

  1. Multi-class 데이터 잠재공간 분리를 위한 오토인코더 모델. 송영록, 정윤경. Application No: 10-2020-0163962 (2020.11.01), Registration No: 10-2583586 (2023.9.22)
  2. 다중 검색 방식을 이용한 한국어 의료 챗봇 시스템. 정민수, 정윤경.
    Application No: 10-2020-0134630 (2020.10.16), Registration No: 10-2445841 (2022-09-16)
  3. 임베딩 기반의 인과 관계 탐지 및 추출 방법. 정윤경.
    Application No: 10-2019-0019985 (2019.02.20), Registration No: 10-2203895 (2021.01.11)
  4. 감정점수를 활용한 시퀀스-투-시퀀스 기반의 텍스트 요약. 김유진, 정윤경.
    Application No: 10-2019-0179964 (2019.12.31), Registration No: 10-2348689 (2022.01.04)
  5. 줄거리를 통한 머신러닝 기반의 미디어 흥행 예측. 김유진, 정윤경.
    Application No: 10-2019-0179963 (2019.12.31), Registration No: 10-2296154 (2021.08.25)
  6. 딥러닝 알고리즘을 이용한 비지도 방식의 네트워크 침입 탐지 방법 및 이를 실행하기 위한 프로그램이 기록된 기록매체. Network Intrusion Detection Method using unsupervised deep learning algorithms and Computer Readable Recording Medium on which program therefor is recorded.정윤경, 김동민.
    Application No: 10-2018-0171484 (2018.12.28), Registration No: 10-2279983 (2021.07.15)
  7. 이미지 학습을 이용한 텍스트 필터링 방법 및 장치. 유주연, 정윤경.
    Application No: 10-2019-0179915 (2019.12.31), Registration No: 10-2244982 (2021.04.21)
  8. 스토리 생성 장치 및 스토리 생성 방법. 정윤경, 유혜연.
    Application No: 10-2017-0030476 (2017.3.10), Registration No: 10-1926146 (2018.11.30)
  9. 시공간 구조 기반의 확률 그래프 모델 학습 장치 및 방법. 김여진 장병탁 배병철 최현진 정윤경 최영상. Apparatus and method for generating probabilistic graphical model based on time- space structure. Yeo-Jin Kim, Byoung-Tak, Byung-Chull Bae, Hyun-Jin Choi, Yun- Gyung Cheong, Young-Sang Choi.
    Application number: 1020100078012 (2010.08.12), Registration No: 1016725000000 (2016.10.28)
  10. 데이터 처리 장치 및 방법 (Data Processing Apparatus and Method). Yun-Gyung Cheong.
    Application No: 10-2009-0087926 (2009.09.17), Registration No: 1016157070000 (2016.04.20)
  11. 인터랙티브 컨텐츠 구성을 위한 데이터 처리 장치, 그 방법 및 기록매체 (Data Processing Apparatus and Method for Constructing Interactive Contents and Recording Media). Yun-Gyung Cheong.
    Application number: 1020080100630 (2008.10.14), Registration number: 1015215950000 (2015.05.13)
  12. 콘텐츠 제공 장치 및 그 방법 (Apparatus and Method for Providing Contents). Yeo-Jin Kim, Yun-Gyung Cheong.
    Application No: 1020080076202 (2008.08.04), Registration No: 1015159630000 (2015.04.22)

Filed

  1. 이야기 속 등장 인물의 윤리성 분석 방법과 그 연산장치, 그리고 이의 기록매체. 정윤경, 배수영.  Application No: 10-2024-0021308 (2024.2.14)
  2. 텍스트 분류 방법 및 장치. 정윤경, 박종혁.  Application No: 10-2023-0061308. (2023.5.11)
  3. 대본 처리 방법 및 장치. 정윤경, 김은총.  Application No: 10-2023-0014188. (2023.2.2)
  4. 언어 모델을 학습시키는 방법, 언어 모델을 이용한 제어된 이야기 생성 방법 및 이를 이용한 처리 장치. 조진욱, 정윤경.  Application No:10-2023-0012797 (2023.1.31)
  5. 언어모델을 사용한 이야기 생성 방법. 김현주, 정윤경.  Application No:10-2022-0140073 (2022.10.27)
  6. GRU 기반 모델을 사용한 시계열 이상치 탐지 방법. 성창민, 정윤경.  Application No:10-2022-0096757 (2022.08.03)
  7. 분류 모델에 기반하여 바꿔 쓰기 모델을 학습하는 방법, 바꿔 쓰기 모델을 이용한 텍스트 데이터의 증강 방법 및 이를 이용한 텍스트 처리 장치. 전현규, 정윤경.  Application No: 10-2021-0182704 (2021.12.20)
  8. 의료 챗봇 시스템 및 이를 구동하는 방법. 정민수, 이정훈, 박종혁, 조진욱,전현규, 신경덕, 정윤경.
    Application No: 10-2020-0131571 (2020.10.13)
  9. 가짜 리뷰 판별을 위한 분류 모델 선정 방법. CLASSIFICATION MODEL SELECTION METHOD FOR DISCRIMINATING FAKE REVIEW. 정윤경, 이범진, 김동욱, 강지우, 송이현, 이석범.
    Application number:10-2018-0047048 (2018).04.24
  10. 감정 수치화 및 이를 이용한 클라이맥스 예측 장치 및 방법. APPARATUS AND METHOD FOR DIGITIZING SENTIMENT AND PREDICTING CLIMAX USING THE SAME.
    Application No: 1020170021248 (2017.02.16)

Expired

  1. Operator Command Processing Method In the MobileCommunication System. Yun-Gyung Cheong.
    Korea Patent Registration No. 1003723420000 (2003.02.03)

Awards

Awards

  1. Awarded Korea Fiscal Information Service President’s Award(Top Prize) in the Fiscal Information AI Search Algorithm Competition, 한국재정정보원 & 기획재정부, 2024.
  2. Awarded Grand Prize in the Corning AI Challenge, Corning, Seoul, South Korea, 2024.
  3. MZ Artificial Intelligence Hackathon, 한국지능정보사회흥원 & MediaZen, 2021.
  4. A.I.: Storyteller Challenge, 한국컨텐츠진흥원, 2020.
  5. Siren Game won the first place of the GALA Serious Games awards, 2013.
  6. Doctoral Consortium Scholarship to attend the Doctoral Consortium and AAAI conference, 2006.
  7. Graduate Fellow of Computer Science at North Carolina State University, 2001-2004.
  8. Korean National IT Fellowship, 2001-2007.
  9. Awarded Grand Prize for developing new enterprise, LG Electronics, Seoul, South Korea, 1999.
  10. Awarded LG Industrial-educational cooperation program scholarship, Seoul, South Korea, 1997.
  11. Awarded Information Engineering Graduate Scholarship, Sungkyunkwan University, Seoul, South Korea, 1996-1997.