Geunhyeok Yu

Geunhyeok Yu

Ph.D. Student

AIRLab, Kyung Hee University

Biography

I am a Ph.D. student at the Artificial Intelligence and Robotics Lab., Department of Software Convergence, Kyung Hee University, Republic of Korea. I study visual perception using deep neural representation. I received B.S. degree in the Department of Software at Gachon University in 2022 and M.S. degree in the Department of Software Convergence at Kyung Hee University in 2024. My research interest includes Computer Vision, Deep Representation Learning, and Model Compression. Recently, I focus on model compression in the perspective of redundant representation of neural networks.

Interests
  • Computer Vision
  • Artificial Intelligence
  • Representation Learning
  • Model Compression
Education
  • Ph.D. in Artificial Intelligence, 2024 - Present

    Kyung Hee Univeresity

  • M.S. in Artificial Intelligence, 2022 - 2024

    Kyung Hee University

  • B.S. in Computer Science, 2018 - 2022

    Gachon University

Skills

Technical
Python
Machine Learning
Computer Vision
Hobbies
Cats
Table Tennis
Drawing

Projects

Development of solubility measurement technology using computer vision
Hubidity Detection, Machine Learning, Computer Vision
Development of solubility measurement technology using computer vision

Publications

*
(2023). Generative Perturbation Network for Universal Adversarial Attacks on Brain-Computer Interfaces. IEEE JBHI 2023 [IF:7.76].

PDF Cite Code

(2023). Real-Time Automated Solubility Screening Method Using Deep Neural Networks with Handcrafted Features. MDPI Sensors 2023 23(12) [IF:3.847].

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Experience

 
 
 
 
 
AIRLab
Ph.D./M.S. Student Researcher
March 2022 – Present Yongin-si, Republic of Korea

Responsibilities include:

  • Lab. Leader (2023)
  • M.S. Researcher

PyTorch / Deep Learning / Probabilistics / Linear Algebra

 
 
 
 
 
DDS
Internship Student
July 2020 – August 2020 Geumcheon-gu, Seoul, Republic of Korea

Responsibilities include:

  • CAD Development Team
  • 3D Model Visualization

C++ / VTK / Linear Algebra / Geometry

Contact