About Me

I am a Ph.D. student at SKKU (Sungkyunkwan University), South Korea, advised by Prof. Sungeun Hong in the AI & Media Lab (AIM Lab). My research interests include vision-language models, multimodal learning, visual token pruning, and test-time adaptation.

🔥 News

  • 2026.02:  🎉🎉 One paper is accepted to CVPR 2026.
  • 2025.09:  🎉🎉 One paper is accepted to NeurIPS 2025.
  • 2025.06:  🎉🎉 One paper is accepted to IJCV 2025 (Q1, JCR: Top 10%).

📝 Publications

* Equal contribution. Corresponding author.

  • ZOO-Prune: Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models
    • Youngeun Kim*, Youjia Zhang*, Huiling Liu, Aecheon Jung, Sunwoo Lee, and Sungeun Hong
    • CVPR 2026 [Project page]
  • Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
    • Youjia Zhang, Youngeun Kim, Young-Geun Choi, Hongyeob Kim, Huiling Liu, and Sungeun Hong
    • NeurIPS 2025 [Project page]
  • CAT-TPT: Class-Agnostic Text-based Test-time Prompt Tuning for Vision-Language Models
    • Youjia Zhang, Huiling Liu, Youngeun Kim, and Sungeun Hong
    • IJCV 2025 [Q1, JCR Top 3%, IF 11.6] [DOI]

📁 Projects

  • Visuo-Tactile World Model for Dexterous Robotic Manipulation with Non-Standard Sensors (2026.03 – Present)

    • Funded by the National Research Foundation of Korea
    • This project studies a world model-based robotic manipulation framework that integrates visual and tactile information under non-standard tactile sensor environments. It focuses on sensor-invariant tactile representation learning and visuo-tactile sim-to-real transfer for stable and precise robotic manipulation across diverse sensors and environments.
  • Human-oriented AI Model that Imitates the Human Growth Process based on Cognitive Science (2025.04 – 2025.12)

    • Funded by the Institute for Information & Communications Technology Promotion (IITP)
    • This project aims to develop a human-oriented AI model that can understand and explain diverse physical phenomena and causal relationships through cognitive science-inspired learning mechanisms.

🎖️ Honors and Awards

  • SKKU STEM Full Scholarship, 2024 – Present.
  • IEIE Encouraging Paper Award, 2024.

🪄 Patents

  • Apparatus and Method for Prompt Tuning ( U.S. Patent Application No. 19/545,275; Pending.)

💬 Academic Activities

  • Reviewer

    • NeurIPS 2025
    • CVPR 2026
  • Teaching Assistant

    • Advanced Machine Learning / Deep Learning, SKKU, Spring 2026.
    • Generative Deep Learning, SKKU, Fall 2025.
    • Introduction to Deep Learning, SKKU, Spring 2025.
    • Introduction to Deep Learning, SKKU, Fall 2024.

🎓 Education

  • Sungkyunkwan University, South Korea, 2024.03 - Present
    • Ph.D. Student, Department of Immersive Media Engineering
    • Advisor: Prof. Sungeun Hong
  • Chongqing University of Technology, China, 2020.09 - 2023.06
    • M.S. in Information and Communication Engineering
    • Advisor: Prof. Nan Xiang
  • KAIST, South Korea, 2022.03 - 2022.08
  • Suzhou University, China, 2015.09 - 2019.06
    • B.Eng. in Communication Engineering