Reconsidering the measurement of tie strength in online social networks. - Kyuhan Lee; Sudha Ram (ICIS, 2017)

Investigating Knowledge Flows between Information Systems and Other Disciplines: : Seeking Greater Research Opportunities. - Kyuhan Lee; Jinsoo Park 001; Jihae Suh (Data Base, 2018)

Predicting movie success with machine learning techniques: ways to improve accuracy. - Kyuhan Lee; Jinsoo Park 001; Iljoo Kim; Youngseok Choi (Inf. Syst. Frontiers, 2018)

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks. - Jihoon Ko; Kyuhan Lee; Kijung Shin; Noseong Park (ASONAM, 2020)

PERSONA: Personality-Based Deep Learning for Detecting Hate Speech. - Kyuhan Lee; Sudha Ram (ICIS, 2020)

SSumM: Sparse Summarization of Massive Graphs. - Kyuhan Lee; Hyeonsoo Jo; Jihoon Ko; Sungsu Lim; Kijung Shin (KDD, 2020)

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks. - Jihoon Ko; Kyuhan Lee; Kijung Shin; Noseong Park (CoRR, 2020)

Summarizing graphs using the configuration model. - Houquan Zhou 002; Shenghua Liu; Kyuhan Lee; Kijung Shin; Huawei Shen; Xueqi Cheng (CoRR, 2020)

Intention-based Deep Learning Approach for Detecting Online Fake News. - Kyuhan Lee; Sudha Ram (ICIS, 2021)

DPGS: Degree-Preserving Graph Summarization. - Houquan Zhou 002; Shenghua Liu; Kyuhan Lee; Kijung Shin; Huawei Shen; Xueqi Cheng (SDM, 2021)

Theory-Driven Design Science Research: Addressing Social Media Issues through Predictive Analytics. - Kyuhan Lee (2021)

Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications. - Shinhwan Kang; Kyuhan Lee; Kijung Shin (ICDE, 2022)

SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. - Kyuhan Lee; Jihoon Ko; Kijung Shin (ICDE, 2022)

Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data. - Jihoon Ko; Kyuhan Lee; Hyunjin Hwang; Kijung Shin (ICDM (Workshops), 2022)

Are Edge Weights in Summary Graphs Useful? - A Comparative Study. - Shinhwan Kang; Kyuhan Lee; Kijung Shin (PAKDD (1), 2022)

Effective training strategies for deep-learning-based precipitation nowcasting and estimation. - Jihoon Ko; Kyuhan Lee; Hyunjin Hwang; Seok-Geun Oh; Seok-Woo Son; Kijung Shin (Comput. Geosci., 2022)

Uncovering the Root of Hate Speech: A Dataset for Identifying Hate Instigating Speech. - Hyoungjun Park; Ho Shim; Kyuhan Lee (EMNLP (Findings), 2023)

Deep Learning for Hate Speech Detection: A Personality-based Approach. - Kyuhan Lee; Sudha Ram (WWW (Companion Volume), 2024)

Data Augmentation for Smishing Detection: A Theory-based Prompt Engineering Approach. - Ho Sung Shim; Hyoungjun Park; Kyuhan Lee; Jang-Sun Park; Seonhye Kang (WWW (Companion Volume), 2024)

A Persuasion-Based Prompt Learning Approach to Improve Smishing Detection through Data Augmentation. - Ho Sung Shim; Hyoungjun Park; Kyuhan Lee; Jang-Sun Park; Seonhye Kang (CoRR, 2024)

Explainable Deep Learning for False Information Identification: An Argumentation Theory Approach. - Kyuhan Lee; Sudha Ram (Inf. Syst. Res., 2024)

MARIOH: Multiplicity-Aware Hypergraph Reconstruction. - Kyuhan Lee; Geon Lee; Kijung Shin (ICDE, 2025)