Changwoo Baek

About me

I'm a master's student working on hardware-efficient Multimodal Large Language Models (MLLMs). My goal is to make these models lightweight, fast, and reliable enough to run on edge devices. I'm particularly interested in understanding how MLLMs work internally and using that insight to develop practical solutions. 

Educations

• Pusan National University, Busan, Republic of Korea  (Mar. 2025 - )
  M.S. Department of Electronics Engineering
  Advisor: Prof. Kyeongbo Kong

• Pusan National University, Busan, Republic of Korea  (Mar. 2019 - Feb. 2025)
  B.S. Department of Electronics Engineering

Publications

Submitted

• Anonymized Title

C. Baek*, J. Song*, S. Kim*, K. Kong†

• Entropy Dynamics across Layers in Vision Encoders for Visual Token Pruning

C. Baek*, S. Kim*, J. Song*, K. Kong†

International Journal

• [J2] Unsupervised Knowledge Distillation via Local Representations for Vision-Language Models 

C. Baek*, J. Song, K. Kong† 

IEEE Signal Processing Letters (IF: 3.9) (SPL), Aug. 2025

International conference

• [C3] An empirical study of Attention and Diversity for Adaptive Visual Token Pruning in Multimodal Reasoning Models

C. Baek*, J. Song*, S. Kim*, K. Kong†

Initial version accepted NeruIPS Workshop on Efficient Reasoning, Dec. 2025

• [C2] Efficient Token Pruning for Vision-Language Models in Multi-turn Scenarios

C. Baek*, S. Kim*, J. Song*, K. Kong†

IEEE Asia Pacific Conference on Circuits and Systems (APCCAS Oral), Oct. 2025

• [C1] Low-Light Face Recognition for Mobile Robots

C. Baek*, J. Song, K. Kong†   

ITC-CSCC (Special session), Jul. 2025

Domestic Journal

• [J1] Deep Learning-Based Face Recognition through Low-Light Enhancement 

C. Baek*, K. Kong†

IEMEK Journal of Embedded Systems and Applications, Oct. 2024

Domestic Conference

• [C4] Analysis of Visual Token Pruning in Large Vision-Language Models from the Perspectives of Image Complexity and Hallucination Generation 

S. Kim*, C. Baek*, J. Song*,  K. Kong†

The Korean Institute of Electrical Engineers (KIEE) Autumn Conference, Undergraduate Paper Competition, (3rd Prize), Nov. 2025

Projects

• Development of Anomaly and Environment Detection Technology for Home Robot Applications

Collaborating with LG Electronics, Seoul, Korea (June. 2025 -)

• Developed vision-language model-based technologies for visual perception and situation awareness in home robot systems 

Collaborating with LG Electronics, Seoul, Korea (June. 2025 - )

• Development of Nighttime Human Detection and Daytime Face Recognition Enhancement for Home Robot Environments  

Collaborated with LG Electronics, Seoul, Korea (Dec. 2023 - Dec. 2024)

Awards

• Outstanding Award, Industrial AI Convergence Club

Industrial AI Specialized Talent Development Program, Pusan National University, 2024 

Extra

Teaching Experiences

• [EE1600575] C Programming, Teaching Assistant

Dept. of EE, Pusan National University, Spring 2025

• [EE3100695] Digital Circuits Laboratory, Teaching Assistant

Dept. of EE, Pusan National University, Fall 2025

• Signals and Systems, Academic Tutor

Departmental Tutoring Program, Dept. of EE, Pusan National University, Fall 2023

Scholarship

• Graduate Research Encouragement Scholarship

National Research Foundation of Korea (NRF), 2025

Skills

• Python, Pytorch, C, C++, ROS2