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Education

Ph.D in Artificial Intelligence at AI Graduate School, Gwangju Institute of Science and Technology (GIST), 2021-present
M.S. in Big Data Science at Korea Institute of Science and Technology Information (KISTI), University of Science and Technology (UST), 2018-2020
B.S. in Software, Ajou University, 2014-2018

Work experience

Sep. 2020 - Feb. 2021: Research Assistant
- IRR Lab (Intelligence Representation & Reasoning Lab.) in AIGS, GIST
- Duties includes: Analyze the search space of neural networks
- Supervisor: Prof. Kangil Kim (Google Scholar)
Mar. 2019 - Aug. 2020: Research Student
- Research Data Sharing Center in Div. of National S&T Data, KISTI
- Duties included: Develop clustering module for issue analysis from news articles
- Supervisor: Prof. Dongmin Seo (Google Scholar)
Jul. 2015 - Feb. 2018: Research Intern
- DILAB (Data Mining & Artificial Intelligence Lab.) in School of Software, Kunsan National University (KSNU)
- Duties included: Deep Learning Model for Traffic Accident Points Prediction
- Supervisor: Prof. Byung-won On (Google Scholar)

Skills

Programming
- C, java, Python, PyTorch, Tensorflow
Softwares
- Window series, LaTex, Vim, git, and other Linux based tools
Background Knowledge
- Linear Algebra, Data Mining, Text Mining, Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing, Computer Vision, Numerical Optimization

Publications

Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation

Kim, H. & Kim, K. (2024), Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation. The Twelfth International Conference on Learning Representations

Spherization Layer: Representation Using Only Angles

Kim, H. & Kim, K. (2022). Spherization Layer: Representation Using Only Angles. Advances in Neural Information Processing Systems, 35, 16398-16410

Hoyong Kim

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