Long Bai

白龙

Ph.D. Candidate

The Chinese University of Hong Kong

Email: b.long@link.cuhk.edu.hk


Biography

I am a final-year Ph.D. candidate at Department of Electronic Engineering, The Chinese University of Hong Kong (CUHK), advised by Prof. Hongliang Ren and Prof. Jiewen Lai. During my Ph.D. study, I was a visiting student at Technical University of Munich (TUM), advised by Prof. Nassir Navab; and at The University of Sydney (USYD), advised by Prof. Luping Zhou. Previously, I received the B. Sc. degree in Opto-Electronics Information Science and Engineering from Beijing Institute of Technology (BIT) in 2021, advised by Prof. Kun Gao. I am fortunate to have been working with Dr. Mobarakol Islam (UCL), Dr. Zhongliang Jiang (TUM), Prof. Mohamed Abdel-Mottaleb (UMiami), and Yanheng Li (CityU HK).

My research interests include artificial intelligence and its applications in medical image computing, human-robot interaction, and surgical data science. I recently work on vision-language understanding and generation.

I will join the Medical AI Lab, Alibaba DAMO Academy in Aug 2025 as an algorithm expert under the leadership of Dr. Le Lu, recruited by the honor of Alibaba Star ("阿里星").

News

Selected Awards

2024, MICCAI Best Paper Runner Up
2024, Runner Up of MICCAI BraTS Challenge on Sub-Sahara-Africa Adult Glioma
2024, PhD International Mobility for Partnerships and Collaborations (IMPAC) Award
2024, IPCAI Best Paper Award Shortlist
2024, CUHK Overseas Research Attachment Scholarship
2024, Best Poster Award of ICRA 2024 C4SR+ Workshop
2024, IEEE ICRA RAS Travel Grants Award
2023, ICBIR Best Student Paper Award
2023, Best Poster Award of IEEE ICRA Workshop on Surgical Robotics
2023, IEEE ICRA RAS Travel Grants Award
2021, Merit Award of EMedIC Global
2021-2025, CUHK Vice-Chancellor's Ph.D. Scholarship Scheme

Publications [Full list at Google Scholar]

* indicates equal contribution; † indicates project lead.

Preprints

Book Chapters

Journal Papers

Conference Papers

Workshop Papers

Professional Services

  • Associate Editor:
    IEEE International Conference on Robotics and Biomimetics (ROBIO) 2024
  • Organizing Chair:
    The 1st MICCAI Workshop on Efficient Medical AI (EMA4MICCAI) 2025
  • Program Committee:
    MICCAI 2024 Workshop on Embodied AI and Robotics for Healthcare (EARTH)
    ACM International Conference on Multimodal Interaction (ICMI) 2023 LBR
  • Regular Reviewer:
    ICLR, MICCAI, ICRA, IROS, IPCAI, ISBI, CHI, VR, CSCW, ETRA, IUI, ROBIO, ICBIR
    T-PAMI, T-MI, T-NNLS, T-CSVT, T-ASE, T-IM, RA-L, OJ-IM, IEEE Sensors Journal, Information Fusion, Information Sciences, CMIG, CBM, MBEC, JSCE, JMRR
  • Invited Talks

  • Surgical Visual Question Localized-Answering.
    Pre-ICRA Online, May. 2023.
  • Lifelong Learning: Background, Methodology, and Applications.
    Hong Kong University of Science and Technology (HKUST), Oct. 2022.
  • Teaching

    Teaching Assistant:
    2024-2025 Spring ELEG5757 Intelligent Wearable Electronics
    2024-2025 Spring ELEG3103 Robotic Perception and Intelligence
    2023-2024 Spring ELEG5600 Advanced Perception for Intelligent Robotics
    2023-2024 Fall ENGG2760 Probability for Engineers
    2022-2023 Spring ELEG5757 Intelligent Wearable Electronics
    2022-2023 Fall ENGG2760 Probability for Engineers
    2021-2022 Spring ELEG3201 Microelectronic Devices and Circuits
    2021-2022 Fall ENGG2760 Probability for Engineers

    Mentees:
    Jieming Yu Intern 2022-2025 -> Ph.D. Student, HKUST
    Zhicheng He Intern 2024-2025
    Yanguang Zhao Intern 2024-2025 -> M.Sc. Student, NUS
    Zhaoxi Zhang Intern 2024-2025 -> M.Phil. Student, PKU
    Boyi Ma Intern 2023-2024 -> Ph.D. Student, UToronto
    Ruohan Wang Intern 2023-2024 -> Ph.D. Student, Brown
    Qiaozhi Tan Intern 2023-2024 -> Ph.D. Student, CityU HK
    Yihan Ma Intern 2023-2024 -> M.Sc. Student, UCL
    Tianhang Liu CUHK M.Sc. 2022-2023 -> R&D, ASTRI HK
    Guankun Wang Intern 2022-2023 -> Ph.D. Student, CUHK
    Yuanhao Zhao CUHK M.Sc. 2021-2022 -> R&D, Samsung China
    Liangyu Wang CUHK M.Sc. 2021-2022 -> Ph.D. Student, KAUST
    Tong Chen Intern 2021-2022 -> M.Phil.-Ph.D. Student, USYD

    Some Links

  • Lab of Robotics, Embodied AI, and Navigation in Vivo, CUHK.
  • Chair for Computer Aided Medical Procedures & Augmented Reality (CAMP), TUM.
  • CAMP Personal Page, TUM.

  • © Long Bai | Last updated: Feb 2025