About Me

I’m a second-year PhD student at the Department of Computer Science & Engineering, Hong Kong University of Science and Technology, co-supervised by Prof. Heung-Yeung Shum and Prof. Lionel M. Ni. I am an intern at International Digital Economy Academy (IDEA), advised by Prof. Lei Zhang. Previously, I obtained my bachelor’s degree from Computer Science and Technology, South China University of Science and Technology in 2021.

My research interests lie in machine learning, computer vision, object detection, and multi-modal learning.

🔥 News

📝 Publications

  • Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation.
    Feng Li*, Hao Zhang*, Huaizhe Xu, Shilong Liu, Lei Zhang, Lionel M. Ni, Heung-Yeung Shum.
    arxiv 2022.
    [Paper][Code]

  • DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
    Hao Zhang*, Feng Li*, Shilong Liu*, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum.
    arxiv 2022.
    [Paper][Code]

  • Vision-Language Intelligence: Tasks, Representation Learning, and Large Models.
    Feng Li*, Hao Zhang*, Yi-Fan Zhang, Shilong Liu, Jian Guo, Lionel M Ni, PengChuan Zhang, Lei Zhang.
    arxiv 2022.
    [Paper]

  • DN-DETR: Accelerate DETR Training by Introducing Query DeNoising.
    Feng Li*, Hao Zhang*, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022. Oral presentation.
    [Paper][Code]

  • DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.
    Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang.
    International Conference on Learning Representations (ICLR) 2022.
    [Paper][Code]

(* denotes equal contribution.)

🎖 Selected Awards

  • Hong Kong Postgraduate Scholoarship, 2021
  • Contemporary Undergraduate Mathematical Contest in Modeling(CUMCM), National first prize, 2019.