Biography

Chi-Ming Chung is a research assistant at Academia Sinica, currently collaborating with Yu-Te Wang on integrating brain signals with robotics. Previously, he worked as a research engineer at MediaTek Research and earned his master’s degree from National Taiwan University under the supervision of Winston Hsu. His research focuses on real-time NeRF-SLAM systems, with a current emphasis on developing real-world robotics and brain-computer interface (BCI) systems.

News :fire:

  • October 2024: The poster “BrainPrint: Innovative Head-Mounted EEG Technology for Secure Personal Identification” has been accepted to IEEE Brain Discovery & Neurotechnology Workshop 2024.
  • September 2024: The paper “AED: Adaptable Error Detection for Few-shot Imitation Policy” has been accepted to NeurIPS 2024.

Education

  • National Taiwan University, Taipei, Taiwan
    Master of Science in Graduate Institute of Networking and Multimedia
    Sep 2020 – Jun 2022

  • National Taiwan University, Taipei, Taiwan
    Bachelor of Science in Computer Science Information Engineering
    Sep 2016 – Jun 2020

Work Experience

  • MediaTek Research, Taipei, Taiwan
    Research Engineer
    Feb 2023 – Apr 2024
    • Led dataset collection and fine-tuning of Large Language Models (LLM).
    • Developed prototypes for autonomous agents at MediaTek.

Research Experience

  • Academia Sinica, Taipei, Taiwan
    Research Assistant
    July 2024 – Present
    • Supervisor: Yu-Te Wang
    • Conducted research on Brain-Computer Interface (BCI) technologies.
  • National Taiwan University, Taipei, Taiwan
    Research Assistant
    May 2024 – July 2024
    • Advisor: Prof. Winston Hsu
    • Research on Gaussian Splatting and SLAM, submitted to AAAI 2025.

Teaching Experience

  • National Taiwan University, Taipei, Taiwan
    Teaching Assistant for Introduction to Computer
    Sep 2020 – Jan 2021
    • Instructor: Prof. Winston Hsu
  • National Taiwan University, Taipei, Taiwan
    Teaching Assistant for Deep Learning For Human Language Processing
    Sep 2019 – Jan 2020
    • Instructor: Prof. Hung-Yi Lee

Skills

  • Programming:
    ARM Assembly Language, Python, C/C++, Pytorch, Java, CUDA, ROS

  • Technologies:
    LangChain, Git, Docker, Linux, OpenCV, FastAPI, Kubernetes, Google Cloud Platform

  • Certifications:
    Self-Driving Car Engineer Nanodegree

Selected Publications

  1. (First Author) C.-M. Chung, et al., Orbeez-slam: A real-time monocular visual slam with orb features and nerf-realized mapping, ICRA 2023. Link

  2. (Co-First Author) Yeh, J. F., C.-M. Chung, et al., Stage Conscious Attention Network (scan): A demonstration-conditioned policy for few-shot imitation, AAAI 2022. Link