Kyuhan Lee

Orcid: 0000-0003-2356-2463

According to our database1, Kyuhan Lee authored at least 16 papers between 2017 and 2023.

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

Timeline

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On csauthors.net:

Bibliography

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
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


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