Kyuhan Lee

Orcid: 0000-0002-1029-161X

According to our database1, Kyuhan Lee authored at least 25 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Programming education with ChatGPT: outcomes for beginners and intermediate students.
Educ. Inf. Technol., September, 2025

Inductive influence estimation and maximization over unseen social networks under two diffusion models.
Data Min. Knowl. Discov., September, 2025

MARIOH: Multiplicity-Aware Hypergraph Reconstruction.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

From Human Cashiers to Machine: An Empirical Analysis of Self-Service Technologies in the Retail Stores.
Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

2024
Explainable Deep Learning for False Information Identification: An Argumentation Theory Approach.
Inf. Syst. Res., 2024

A Persuasion-Based Prompt Learning Approach to Improve Smishing Detection through Data Augmentation.
CoRR, 2024

Data Augmentation for Smishing Detection: A Theory-based Prompt Engineering Approach.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Deep Learning for Hate Speech Detection: A Personality-based Approach.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023
Uncovering the Root of Hate Speech: A Dataset for Identifying Hate Instigating Speech.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Effective training strategies for deep-learning-based precipitation nowcasting and estimation.
Comput. Geosci., 2022

Are Edge Weights in Summary Graphs Useful? - A Comparative Study.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

SLUGGER: Lossless Hierarchical Summarization of Massive Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Theory-Driven Design Science Research: Addressing Social Media Issues through Predictive Analytics.
PhD thesis, 2021

DPGS: Degree-Preserving Graph Summarization.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Intention-based Deep Learning Approach for Detecting Online Fake News.
Proceedings of the 42nd International Conference on Information Systems, 2021

2020
Summarizing graphs using the configuration model.
CoRR, 2020

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks.
CoRR, 2020

SSumM: Sparse Summarization of Massive Graphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

PERSONA: Personality-Based Deep Learning for Detecting Hate Speech.
Proceedings of the 41st International Conference on Information Systems, 2020

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2018
Predicting movie success with machine learning techniques: ways to improve accuracy.
Inf. Syst. Frontiers, 2018

Investigating Knowledge Flows between Information Systems and Other Disciplines: : Seeking Greater Research Opportunities.
Data Base, 2018

2017
Reconsidering the measurement of tie strength in online social networks.
Proceedings of the International Conference on Information Systems, 2017


  Loading...