Human-inspired AI Computing Research Center

Research output

Research output per year 1997 2014 2018 2019 2020 2021 2022 2023 2024 2024

• 3896 Citations
• 32 h-index
• 201 Article
• 147 Conference contribution
• 11 Conference article
• 8 Paper
• 10 More
  • 4 Review article
  • 2 Chapter
  • 2 Comment/debate
  • 2 Editorial

Research output per year

Research output per year

Search results

• Conference contribution

  The Structure of Deep Neural Network for Interpretable Transfer Learning

  Kim, D., Lim, W., Hong, M. & Kim, H., 2019 Apr 1, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8679150. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Transfer Learning 100%
  • Deep Neural Network 100%
  • Interpretability 50%
  • Transfer Problem 20%
  • Feature Extraction 16%
  8 Citations (Scopus)

• The study on visualization systems for computer-supported collaborative learning

  Kim, S., Kim, H. & Han, S., 2008, Technologies for E-Learning and Digital Entertainment - Third International Conference, Edutainment 2008, Proceedings. p. 107-113 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5093 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Visualization System 100%
  • Computer-supported Collaborative Learning 100%
  • Collaborative Learning 100%
  • Visualization Tools 50%
  • Visualization Tool 50%
  1 Citation (Scopus)

• Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks

  Eo, S., Moon, H., Kim, J., Hur, Y., Kim, J., Lee, S., Chun, C., Park, S. & Lim, H., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 6100-6115 16 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Children's Storybooks 100%
  • Effective Questions 100%
  • Effective Question 100%
  • Oriented Processes 33%
  • Interrogative Sentence 33%
  3 Citations (Scopus)

• Unstructured membership management for byzantine fault tolerance in Clouds

  Lim, J., Jung, D., Suh, T. & Yu, H., 2014, ARCS 2014 - 2014 Workshop Proceedings on Architecture of Computing Systems. Institute of Electrical and Electronics Engineers Inc., (ARCS 2014 - 2014 Workshop Proceedings on Architecture of Computing Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Satisfactory Solution 100%
  • Implementation Management 75%
  • Byzantine Failures 75%
  3 Citations (Scopus)

• Unsupervised adaptation without estimated transriptions

  Lee, H. & Yook, D., 2013 Oct 18, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 7918-7921 4 p. 6639206. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Gaussian Mixture Model 100%
  • Error Rate 100%
  • Noise Ratio 100%
  • Taylor Series 100%
  • Input Signal 100%

• VcBalancer: Dynamic Volunteer Manager for Self-Adaptive Task Pulling

  Song, C., Bak, B., Myung, R., Lee, J., Lee, J. & Yu, H., 2018 Dec 4, Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. Tinetti, F. G., Tran, Q.-N., Deligiannidis, L., Yang, M. Q., Yang, M. Q. & Arabnia, H. R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 271-274 4 p. 8560800. (Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Adaptive Tasks 100%
  • Default Configuration 100%
  • Volunteer System 50%
  • Idle Resource 50%
  • BOINC 50%

• Virtual Stimulus Cognitive Model for Autonomous Experience Learning

  Yoo, G., Hong, S. & Kim, H., 2017 Mar 20, 2017 International Conference on Platform Technology and Service, PlatCon 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 7883737. (2017 International Conference on Platform Technology and Service, PlatCon 2017 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiential Learning 100%
  • Virtual Stimuli 100%
  • Accident Prevention 50%
  • Training Experience 50%
  • Electrical Safety 50%

• Viseme recognition experiment using context dependent hidden Markov models

  Lee, S. & Yook, D., 2002, Intelligent Data Engineering and Automated Learning - IDEAL 2002 - 3rd International Conference, Proceedings. Yin, H., Allinson, N., Freeman, R., Keane, J. & Hubbard, S. (eds.). Springer Verlag, p. 557-561 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2412).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Recognition System 100%
  • Context Dependent 100%
  • Recognizer 100%
  • Friendly Interface 100%
  • Right Context 100%
  5 Citations (Scopus)

• VM migration for fault tolerance in spot instance based cloud computing

  Jung, D., Chin, S. H., Chung, K. S. & Yu, H. C., 2013, Grid and Pervasive Computing - 8th International Conference, GPC 2013 and Colocated Workshops, Proceedings. p. 142-151 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7861 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Instance-based 100%
  • Failure Situation 25%
  • Rising Edge 25%
  • Failed Instance 25%
  10 Citations (Scopus)

• Voice conversion using conditional cycleGAN

  Yook, D., Yoo, I. C. & Yoo, S., 2018 Dec, Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018. Institute of Electrical and Electronics Engineers Inc., p. 1460-1461 2 p. 8947758. (Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Conditional CycleGAN (CC-GAN) 100%
  • Voice Conversion 100%
  • Identity Information 100%
  • Anonymization 100%
  • Speaker Identity 40%
  8 Citations (Scopus)

• Volunteer availability based fault tolerant scheduling mechanism in desktop grid computing environment

  Choi, S., Baik, M. S., Hwang, C. S., Gil, J. M. & Yu, H. C., 2004, Proceedings - Third IEEE International Symposium on Network Computing and Applications, NCA 2004. p. 366-371 6 p. (Proceedings - Third IEEE International Symposium on Network Computing and Applications, NCA 2004).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Fault Tolerant 100%
  • Computing Environment 100%
  • Grid Computing 100%
  • Scheduling Mechanism 100%
  • Livelock 50%
  40 Citations (Scopus)

• Vowel-Oriented String Search Algorithm with Vowel-Oriented Binary Tree

  Chung, K. S. & Yu, H., 2022, Advances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC. Arai, K. (ed.). Springer Science and Business Media Deutschland GmbH, p. 1-11 11 p. (Lecture Notes in Networks and Systems; vol. 438 LNNS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Search Algorithm 100%
  • Binary Tree 100%
  • Binaries 100%
  • Cloud Storage 16%
  • Keyword Search 16%

• Why and What to Teach: AI Curriculum for Elementary School

  Kim, S., Jang, Y., Kim, W., Choi, S., Jung, H., Kim, S. & Kim, H., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 15569-15576 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 17B).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Primary Schools 100%
  • Artificial Intelligence 100%
  • AI Curriculum 100%
  • AI Literacy 66%
  • AI Skills 33%
  44 Citations (Scopus)
• Editorial

  Editors' preface

  Riza, L. S., Pranolo, A., Wibawa, A. P., Junaeti, E., Wihardi, Y., Hashim, U. R. A., Horng, S. J., Drezewski, R., Lim, H. S., Chakraborty, G., Hernandez, L. & Nazir, S., 2017 Jul 1, In: Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017. 2018-January, p. 1 1 p.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

• Message from the C3NET 2010 Workshop organizers

  Nakamura, Y., Kim, H. & Yamanoue, T., 2010, In: Proceedings - 2010 10th Annual International Symposium on Applications and the Internet, SAINT 2010. p. 18 1 p., 5598024.

  Research output: Contribution to journal › Editorial › peer-review
• Paper

  Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue

  Park, J., Jang, Y., Lee, C. & Lim, H., 2023, p. 57-66. 10 p.

  Research output: Contribution to conference › Paper › peer-review

  • Clustering Method 100%
  • Embedding Method 100%
  • Intent Clustering 66%
  • Clustering Algorithm 33%
  • Source Codes 33%

• Dealing with the Paradox of Quality Estimation

  Eo, S., Park, C., Moon, H., Seo, J. & Lim, H., 2021, p. 1-10. 10 p.

  Research output: Contribution to conference › Paper › peer-review

  • Language Resource 100%
  • Quality Estimation 100%
  • Experimental Result 50%
  • Comparative Analysis 50%
  • Parallel Corpus 50%
  4 Citations (Scopus)

• EXPLAINABLE CED: A Dataset for Explainable Critical Error Detection in Machine Translation

  Jung, D., Eo, S., Park, C. & Lim, H., 2024, p. 25-35. 11 p.

  Research output: Contribution to conference › Paper › peer-review

  • Machine Translation 100%
  • Content Addressing 16%
  • Annotation Bias 16%
  • Error Explanation 16%

• Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4

  Lee, S., Kim, D., Jung, D., Park, C. & Lim, H., 2024, p. 93-104. 12 p.

  Research output: Contribution to conference › Paper › peer-review

  • Large Language Model 100%
  • Generative Pre-Trained Transformer 4 100%
  • ChatGPT-4 100%
  • Cultural Framework 100%
  • Linguistics 50%

• Fast speech adaptation in linear spectral domain for additive and convolutional noise

  Kim, D. & Yook, D., 2004, p. 2557-2560. 4 p.

  Research output: Contribution to conference › Paper › peer-review

  • Convolutional 100%
  • Spectral Domain 100%
  • Cepstral Domain 100%
  • FastSpeech2 100%
  • Speech Adaptation 100%

• How to judge learning on online learning minimum learning judgment system

  Jo, J. & Lim, H., 2016, p. 597-598. 2 p.

  Research output: Contribution to conference › Paper › peer-review

  • Educational Data Mining 100%
  • Learning Analytics 100%
  • Massive Open Online Course 100%
  • Information Retention 25%
  • Game Performance 25%
  2 Citations (Scopus)

• Hybrid checkpointing protocol based on selective sender-based message logging

  Chung, K. S., Kim, K. B., Hwang, C. S., Shon, J. G. & Yu, H. C., 1997, p. 788-793. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  • Hybrid Checkpointing 100%
  • Message Sending 66%
  • Asynchronous Checkpointing 33%
  • Dependency Tree 33%
  • Process Message 33%
  6 Citations (Scopus)

• You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona

  Lim, J., Kang, M., Hur, Y., Jung, S., Kim, J., Jang, Y., Lee, D., Ji, H., Shin, D., Kim, S. & Lim, H., 2022, p. 1053-1066. 14 p.

  Research output: Contribution to conference › Paper › peer-review

  • Conversational Agent 100%
  • Chat 100%
  • Art Performance 100%
  • External Knowledge 100%
  • Pre-Trained Language Models 100%
  6 Citations (Scopus)
• Review article

  A development of learning widget on m-learning and e-learning environments

  Kim, S., Kim, H. & Han, S., 2013 Feb 1, In: Behaviour and Information Technology. 32, 2, p. 190-202 13 p.

  Research output: Contribution to journal › Review article › peer-review

  • Widgets 100%
  • Mobile Learning 100%
  • Learning Development 100%
  • E-learning Environment 100%
  • e-learning environment 100%
  22 Citations (Scopus)

• A systematic review of data-driven approaches in player modeling of educational games

  Hooshyar, D., Yousefi, M. & Lim, H., 2019 Oct 1, In: Artificial Intelligence Review. 52, 3, p. 1997-2017 21 p.

  Research output: Contribution to journal › Review article › peer-review

  • Player Modeling 100%
  • Educational Game 100%
  • Player Model 14%
  • Procedural Content Generation 14%
  • Game Data 14%
  35 Citations (Scopus)

• A systematic review of defensive and offensive cybersecurity with machine learning

  Aiyanyo, I. D., Samuel, H. & Lim, H., 2020 Sept, In: Applied Sciences (Switzerland). 10, 17, 5811.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Machine Learning 100%
  • Cybersecurity 100%
  • Offensive Cybersecurity 100%
  • Detection Method 16%
  • Supervised Learning 16%
  23 Citations (Scopus)

• Data-driven approaches to game player modeling: A systematic literature review

  Hooshyar, D., Yousefi, M. & Lim, H., 2018 Jan, In: ACM Computing Surveys. 50, 6, 90.

  Research output: Contribution to journal › Review article › peer-review

  • Systematic Review 100%
  • Data Driven Approach 100%
  • Behavioral Goals 16%
  • Classification via Clustering 16%
  • Model Choice 16%
  93 Citations (Scopus)