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Information Systems

Lee, Kyuhan이규한

  • IS
  • Assistant Professor
  • NLP, Machine Learning, Human-AI Interaction
  • Hyundai Motors Hall 522
  • TEL :
  • Email : kyuhanlee@korea.ac.kr
  • Fax :
  • Homepage :
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    Teaching:

    - Introduction to MIS (BUSS215)

    - Database Management Systems and Business Intelligence (BUSS453)

    - Data Mining (BUS674)

     

     

  • Office Hour :

Education

  • Ph.D. University of Arizona, 2021 
  • M.S. Seoul National University, 2016
  • B.B.A. Seoul National University, 2014  

Career

  • Assistant Professor, Korea University, March 2023 - Present
  • Assistant Professor, Arizona State University, August 2021 – February 2023
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Publications

Refereed Journal Publications

  • Lee, K. & Ram, S. (2023) “Explainable Deep Learning for False Information Identification: An Argumentation Theory Based Approach”. Information Systems Research (ISR).
  • Kim, N., Lee, K., Lee, J., & Suh, J. (2023). The motivation to work in an online platform economy money-view or self-view?. Current Psychology, 1-16.
  • Lee, K., Park, J., & Suh, J. (2018) “Investigating knowledge flows between information systems and other disciplines: seeking greater research opportunities”, ACM SIGMIS Database: The Data Base for Advances in Information Systems, 49(2), 14-34.
  • Lee, K., Park, J., Kim, I., & Choi, Y. (2018) “Predicting movie success with machine learning techniques: ways to improve accuracy”, Information Systems Frontier, 20(3), 577-588.
  • Park, J., Lee, K., Suh, J., & Rahman A. (2018) “The success case of Dorsia in the online dating market”, Journal of Society for e-Business Studies, 23(1), 65-88.

 

Refereed Conference Proceedings

  • Lee, K., & Ram, S. (May, 2024). Deep Learning for Hate Speech Detection: A Personality-based Approach. In Companion Proceedings of the ACM Web Conference 2024 (WWW'24 Companion), May 13-17, 2024, Singapore, Singapore.
  • Shim, H., Park, H., Lee, K., Park, J., Kang, S. (May, 2024). Data Augmentation for Smishing Detection: A Theory-based Prompt Engineering Approach. In Companion Proceedings of the ACM Web Conference 2024 (WWW'24 Companion), May 13-17, 2024, Singapore, Singapore.
  • Park, H., Shim, H., & Lee, K. (December, 2023). Unconvering the Root of Hate Speech: A Dataset for Identifying Hate Instigating Speech. In Findings of the Association for Computational Linguistics: EMNLP 2023.
  • Lee, K., Suh, J., & Park, J. “Is Honesty the Best Policy? Impact of (Im)plausible AI Transparency on Human Adoption of AI for Fake News Detection,” The 32nd Workshop on Information Technologies and Systems (WITS) 2022, Copenhagen, Denmark (Prabuddha De Best Paper Award Winner).
  • Kim, B., Lee, K., Shin, D., Han, S., & Ram, S. (December, 2022) “Graph Representation Learning for Reciprocal Recommendation in IT-enabled Social Networks: Social Relations Model Approach,” The 32nd Workshop on Information Technologies and Systems (WITS) 2022, Copenhagen, Denmark.
  • Kim, B., Lee, K., Shin, D., Han, S., & Ram, S. (October, 2022) “Graph Representation Learning for Reciprocal Recommendation in IT-enabled Social Networks: Social Relations Model Approach,” INFORMS 6th Workshop on Data Science 2022, Indianapolis, USA.
  • Lee, K., & Ram, S. (December, 2021) “Intention-based Deep Learning Approach for Detecting Online Fake News,” Proceedings of International Conference on Information Systems (ICIS) 2021, Austin, USA (Best Completed Research Paper Winner).
  • Kim, B., Lee, K., & Ram, S. (December 2021) “A theory-driven graph representation learning method for improving environmental impact assessment”, The 31st Workshop on Information Technologies and Systems (WITS) 2021, Austin, USA.
  • Ram, S., Kim, B., & Lee, K. (September, 2021) “NEPACCESS: Leveraging AI methods and Tools for Environmental Impact Assessment”, The 3rd NOAA Workshop on Leveraging AI in Environmental Sciences, virtual.
  • Lee, K., & Ram, S. (December, 2020) “PERSONA: Personality-based deep learning for detecting hate speech,” Proceedings of International Conference on Information Systems (ICIS) 2020, India (Best Student Paper Winner).
  • Lee, K., & Ram, S. (December, 2017) “To be followed or not to be followed: identifying target audience for marketing on social media”, The 27th Workshop on Information Technologies and Systems (WITS) 2017, Seoul, Korea.
  • Lee, K., & Ram, S. (December, 2017) “Reconsidering the measurement of tie strength in online social networks,” Proceedings of International Conference on Information Systems (ICIS) 2017, Seoul, Korea.
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Books

Research