About me

My name is Hang Su (่‹ๆญ). I am now a PhD student in ShanghaiTech University and a member of Mobile Perception Lab. My advisor is Prof. Laurent Kneip. I received my Bachelorโ€™s degree from ShanghaiTech University in Computer Science. Iโ€™m currently visiting GRASP Lab in University of Pennsylvania with Prof. Kostas Daniilidis.

My research interest includes SLAM, Event-based Vision and Deep Learning.

๐Ÿ“– Educations

  • 2025 - present: Visiting PhD Student, University of Pennsylvania, United States.
  • 2021 - present: Ph.D. in Computer Science, ShanghaiTech University, China.
  • 2017 - 2021: B.Eng. in Computer Science, ShanghaiTech University, China.

๐Ÿ“ Publications

  • A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
    Su, H., Feng, Y., Gehrig, D., Jiang, P., Gao, L., Lagorce, X., Kneip, L.
    ICCV 2025 (Highlight)
    |

  • Motion-Aware Optical Camera Communication with Event Cameras
    Su, H., Gao, L., Liu, T., Kneip, L.
    IEEE Robotics and Automation Letters (RA-L). 2024., presented at ICRAโ€™25
    |

  • An N-Point Linear Solver for Line and Motion Estimation with Event Cameras
    Gao, L., Gehrig, D., Su, H., Scaramuzza, D., Kneip, L.,
    CVPR 2024 (Oral Presentation)
    Paper | Project Page |

  • A 5-Point Minimal Solver for Event Camera Relative Motion Estimation
    Gao, L.*, Su, H.*, Gehrig, D., Cannici, M., Scaramuzza, D., Kneip, L.
    ICCV 2023 (Oral Presentation)
    Paper | Project Page |

  • Denoised internal models: a brain-inspired autoencoder against adversarial attacks.
    Liu, K. Y., Li, X. Y., Lai, Y. R., Su, H., Wang, J. C., Guo, C. X., Xie, H., Guan, J. S., Zhou, Y.
    Machine Intelligence Research, 2022, 19(5), pp.456-471
    Paper

๐Ÿ† Honors and Awards

  • 2024 Nov: Outstanding Student (Top 5%)
  • 2023 Nov: Merit Student (Top 10%)
  • 2022 Nov: Outstanding Student (Top 5%)
  • 2021 Jul: Outstanding Undergraduate Thesis
  • 2018 Nov: Merit Student (Top 10%)
  • 2015 Nov: First Prize of National Olympiad in Informatics in Provinces (NOIP)

๐Ÿ’ผ Internship Experience

  • Autonomous Driving Group at Changan Automobile (2021 Summer)

๐Ÿ‘จโ€๐Ÿซ Teaching Assistant Experience

  • Introduction to Programming (2022 Spring)
  • Machine Learning (2021 Fall)
  • Introduction to Programming (2021 Spring)
  • Computer Architecture (2020 Spring)