Taek Ho Lee

Emailtaekho.leeseoultech.ackr

h-index

Research activity per year

Fingerprint

Dive into the research topics where Taek Ho Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

A graph convolutional network for time series classification using recurrence plots
Kang, H., Lee, T. H. & Lee, J., Oct 2025, In: Applied Intelligence. 55, 15, 972.
Research output: Contribution to journal › Article › peer-review

Open Access
Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector
Park, D. Y., Ko, I. Y., Lee, T. H. & Lee, J., 10 Nov 2025, CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, p. 5089-5093 5 p. (CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values
Kim, S., Lee, T. H. & Lee, J., 25 May 2025, In: Expert Systems with Applications. 275, 127001.
Research output: Contribution to journal › Article › peer-review

Open Access
9 Scopus citations
HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis
Lee, T. H., Kim, S., Lee, J. & Jun, C. H., Mar 2024, In: Information Sciences. 662, 120265.
Research output: Contribution to journal › Article › peer-review

Open Access
5 Scopus citations
Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting
Lee, T. H., Kim, S., Lee, J. & Jun, C. H., Dec 2023, In: Information Sciences. 651, 119728.
Research output: Contribution to journal › Article › peer-review

Open Access
11 Scopus citations

Taek Ho Lee

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A graph convolutional network for time series classification using recurrence plots

Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector

TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values

HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis

Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting

Taek Ho Lee

Fingerprint

Collaborations and top research areas from the last five years

Research output

A graph convolutional network for time series classification using recurrence plots

Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector

TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values

HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis

Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting