Qiu-Shi YANG 杨秋实

Ph.D. Candidate

Department of Electrical Engineering,
City University of Hong Kong,
Kowloon, Hong Kong.
Email: qsyeung at gmail dot com

Email | Google Scholar | Github | LinkedIn


About Me

I am a final-year Ph.D candidate in the Department of Electrical Engineering, City University of Hong Kong, advisor by Prof. Yixuan YUAN. I have spent wonderful vacations as an intern at Alibaba DAMO, Meituan, Westlake University, and Horizon Robotics. Previously, I received the B.Eng degree from Computer Science and Engineering, Northeastern University in 2019.

Research Highlights

I am broadly interested in building powerful, efficient and robust intelligent systems that are capable of perception, generation, and interaction with the real world. My current research highlights the following perspectives:

  • Multi-modal foundation model for efficiently understanding and interacting with information from multiple modalities.
  • Generative AI to synthesize controllable image/video/3D content.
  • AI applications include healthcare AI, robotic learning, federated learning, etc.
  • Welcome all research collaboration, please don't hesitate to drop me emails if interested. Also feel free to discuss any interesting topics or questions related to AI techniques/engineering, starup, products and investment!

    News

    Selected Publications

    A full list of publications is here.

    Work Experience

    Selected Awards

    Outstanding Academic Performance Award of City University of Hong Kong, 2023

    Northeastern University Outstanding Student Scholarship, 2016-2017

    1st-Level Prize on National Mathematic Contest in Liaoning for Undergraduate Students, 2016

    Teaching

    EE3001: Foundations of Data Engineering, 2021, 2022 Fall, CityU.

    EE5805: Java Network Programming, 2022, 2023 Summer, CityU.

    EE3206: Java Programming and Applications, 2024 Spring, CityU.

    Services

    Conference Reviewer: CVPR'25,24,23,22, ICCV'23, ECCV'24,22, MICCAI'25,24,23,22.

    Journal Reviewer: TMI, TNNLS, TCSVT, Neural Networks

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