Sang June Lee

Emailsjlee242khu.ackr
Websitehttp://science.khu.ac.kr/

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22 Article
1 Conference contribution

List Dynamic 4-Coloring of Planar Graphs
Kim, S. J., Lee, S. J., Lian, X. & Zhu, X., Feb 2025, In: Graphs and Combinatorics. 41, 1, 6.
Research output: Contribution to journal › Article › peer-review
On Graham partitions twisted by the Legendre symbol
Kim, B., Kim, J. Y., Lee, C. G., Lee, S. J., Park, P. S. & Park, Y. K., 1 Jan 2023, In: Open Mathematics. 21, 1
Research output: Contribution to journal › Article › peer-review

Open Access
On zero-sum free sequences contained in random subsets of finite cyclic groups
Lee, S. J. & Oh, J. S., 15 May 2023, In: Discrete Applied Mathematics. 330, p. 118-127 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)
ON THE EXISTENCE OF GRAHAM PARTITIONS WITH CONGRUENCE CONDITIONS
Kim, B., Kim, J. Y., Lee, C. G., Lee, S. J. & Park, P. S., Jan 2022, In: Bulletin of the Korean Mathematical Society. 59, 1, p. 15-25 11 p.
Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Detecting and Recovering Integer Data Manipulated by Multiplication with a Nonintegral Real Number and a Rounding Operation
Park, T., Song, H. & Lee, S. J., 2021, In: IEEE Access. 9, p. 57149-57164 16 p., 9399095.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Citations (Scopus)

Studies from Korea Advanced Institute of Science and Technology (KAIST) Add New Findings in the Area of Fluids Physics (Fine-scale Urban Wind Field Prediction Via Small-scale Generator and Spectral Loss With Rolling-out Transfer Learning)
Lee, S. & Lee, S. J.
24/09/26
1 item of Media coverage
Press/Media
Data from Korea Advanced Institute of Science and Technology (KAIST) Provide New Insights into Aerospace Research (Physics-guided Residual Learning for Predicting Aerodynamic Characteristics of 3d Wing Under Diverse Operating Conditions)
Lee, S. & Lee, S. J.
3/09/26
1 item of Media coverage
Press/Media
New Wind Farms Data Have Been Reported by Researchers at Korea Advanced Institute of Science and Technology (KAIST) (A Fully Three-dimensional Deep Learning Surrogate Model for Large-eddy Simulation-resolved Wake Dynamics In Wind Farm)
Lee, S., Lee, S. J. & Park, C.
12/06/26
1 item of Media coverage
Press/Media
Study Results from Korea Advanced Institute of Science and Technology (KAIST) in the Area of Wind Turbines Reported (Control-induced Modification In a Tension-leg Platform Floating Wind Turbine)
Lee, S. & Lee, S. J.
11/06/26
1 item of Media coverage
Press/Media
Study Findings from Korea Advanced Institute of Science and Technology (KAIST) Provide New Insights into Fluids Physics (Three-dimensional Primitive Prediction With Building Embedded Swin Transformer for Urban Turbulence)
Lee, S., Lee, S. J. & Park, C.
14/05/26
1 item of Media coverage
Press/Media

Sang June Lee

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

List Dynamic 4-Coloring of Planar Graphs

On Graham partitions twisted by the Legendre symbol

On zero-sum free sequences contained in random subsets of finite cyclic groups

ON THE EXISTENCE OF GRAHAM PARTITIONS WITH CONGRUENCE CONDITIONS

Detecting and Recovering Integer Data Manipulated by Multiplication with a Nonintegral Real Number and a Rounding Operation

Studies from Korea Advanced Institute of Science and Technology (KAIST) Add New Findings in the Area of Fluids Physics (Fine-scale Urban Wind Field Prediction Via Small-scale Generator and Spectral Loss With Rolling-out Transfer Learning)

Data from Korea Advanced Institute of Science and Technology (KAIST) Provide New Insights into Aerospace Research (Physics-guided Residual Learning for Predicting Aerodynamic Characteristics of 3d Wing Under Diverse Operating Conditions)

New Wind Farms Data Have Been Reported by Researchers at Korea Advanced Institute of Science and Technology (KAIST) (A Fully Three-dimensional Deep Learning Surrogate Model for Large-eddy Simulation-resolved Wake Dynamics In Wind Farm)

Study Results from Korea Advanced Institute of Science and Technology (KAIST) in the Area of Wind Turbines Reported (Control-induced Modification In a Tension-leg Platform Floating Wind Turbine)

Study Findings from Korea Advanced Institute of Science and Technology (KAIST) Provide New Insights into Fluids Physics (Three-dimensional Primitive Prediction With Building Embedded Swin Transformer for Urban Turbulence)

Sang June Lee

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media