Research output per year
Research output per year
Personal profile
In Korean
최하영 (수학과)
Education
o (2007) B.S, Kyungpook National University
o (2012) M.S, Kyungpook National University
o (2015) Ph.D., University of Wyoming, USA
o (2012) M.S, Kyungpook National University
o (2015) Ph.D., University of Wyoming, USA
Professional Experience
o (2024~Present) Associate Professor, Kyungpook National University, Daegu, South Korea
o (2020~2024) Assistant Professor, Kyungpook National University, Daegu, South Korea
o (2019~2020) Korea Research Fellowship (KRF), Research institute of Mathematics, Seoul National University, Seoul, South Korea
o (2016~2019) Postdoctoral Research Fellowship, School of Information Science and Technology, ShanghaiTech University, China
o (2015~2016) Adjunct Faculty, University of Wyoming, USA
o (2015~2016) Adjunct Faculty, Laramie County Community College, USA
Research Interests
matrix analysis, numerical linear algebra, spectral graph theory, wireless communication, data analysis, machine learning, information theory
Major Research Achievements
o Large-Scale Beamforming for Massive MIMO via Randomized Sketching
o Comparing large-scale graphs based on quantum probability theory
o An algebraic-geometric approach for linear regression without correspondences
o Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee
o Comparing large-scale graphs based on quantum probability theory
o An algebraic-geometric approach for linear regression without correspondences
o Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Recursive reservoir concatenation for salt-and-pepper denoising
Lee, I. M., Kim, Y., Kim, T., Choi, H., Yang, S. Y. & Kim, Y., Apr 2025, In: Pattern Recognition. 160, 111196.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
ROBUST WEIGHT INITIALIZATION FOR TANH NEURAL NETWORKS WITH FIXED POINT ANALYSIS
Lee, H., Choi, H. & Kim, H., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 33115-33135 21 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Scaling of nodal resilience and influence in complex dynamical networks
Han, L. L., Zeng, L., Choi, H., Lai, Y. C. & Do, Y., 1 May 2025, In: Chaos. 35, 5, 053111.Research output: Contribution to journal › Article › peer-review
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The Geometric Mean of Min Matrices
Shin, B. C., Lim, Y. & Choi, H., 1 Jun 2025, In: Taiwanese Journal of Mathematics. 29, 3, p. 449-465 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
The tensor phase under a tensor–tensor product
Ding, J., Choi, H., Wei, Y. & Xie, P., Feb 2025, In: Computational and Applied Mathematics. 44, 1, 121.Research output: Contribution to journal › Article › peer-review
5 Scopus citations