Liguang Zhou
EN / 中文

About

I am currently a researcher at the Shenzhen Institute of Artificial Intelligence and Robotics for Society in Shenzhen. I earned my PhD in Computer and Information Engineering from The Chinese University of Hong Kong, Shenzhen, in 2024. My research focuses on robotics, computer vision, and machine learning. I was fortunate to work with Professor Yangsheng Xu and Professor Tin Lun Lam during my studies.

News & Updates

  • Sep 2023

    One paper accepted by IEEE RAL.

  • Mar 2023

    One paper accepted by IEEE TCSVT.

  • Feb 2023

    One paper accepted by IEEE TIM.

  • Feb 2023

    One paper accepted by ICASSP 2023.

  • Oct 2022

    One paper accepted by BMVC 2022.

  • Aug 2022

    One paper accepted by IEEE TIP.

  • Jul 2021

    Three papers accepted by IROS 2021.

  • Mar 2021

    One paper accepted by ICRA 2021.

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      Selected Publications

      Journals

        Conference Proceedings

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          Projects

          Scene Graph Understanding

          Research on unbiased scene graph generation for traffic scene understanding with peer learning strategies.

          Perception

          Audio-Visual Scene Classification

          Feature pyramid attention and graph-based modeling for multi-modal scene recognition.

          Multi-modal

          Embodied AI Systems

          Perception pipelines for robotics applications, with focus on robustness and real-world deployment.

          Robotics

          Professional Activities

          Conference

          • IROS 2021

            Session co-chair, “Semantic Machine Learning I”.

          Conference Reviewers

          • IEEE International Conference on Robotics and Automation (ICRA)
          • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
          • Conference on Robot Learning (CoRL)
          • ACM Multimedia (ACM MM)
          • IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP)
          • IEEE International Conference on Automation Science and Engineering (CASE)
          • IEEE International Conference on Ubiquitous Robots (UR)

          Journal Reviewers

          • IEEE Transactions on Robotics (T-RO)
          • IEEE Robotics and Automation Letters (RA-L)
          • Journal of Field Robotics (JFR)
          • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
          • Pattern Recognition (PR)
          • Knowledge-Based Systems (KBS)
          • Neurocomputing
          • IET Cyber-Systems and Robotics

          Academic Awards

          • 2019

            Finalist Award, Life Long Robotic Vision Challenge of IROS 2019.

          • 2018

            Honorable Award, JRC-TEDA 2018 JDX Robotics Challenge (Picking Challenge in Unmanned Supermarket).

          • 2017

            Best Student Paper Finalist Award, ICIA 2017.

          Teaching

          • 2020 Spring

            TA, CSC1001 Introduction to Computer Science: Programming Methodology, CUHKSZ.

          • 2019 Fall

            TA, CSC4160 Cloud Computing, CUHKSZ.

          • 2018 Spring · 2019 Spring · 2021 Spring

            TA, EIE3080 Microprocessors, CUHKSZ.

          • 2017 Fall · 2018 Fall

            TA, CSC3050 Computer Architecture, CUHKSZ.

          Manuscripts in Preprints

          • Preprint

            Liguang Zhou, Yuhongze Zhou, Tin Lun Lam, Yangsheng Xu, “Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation.”

          Openings

          I am always happy to discuss collaborations and research opportunities. If you are interested in working together, please reach out with a brief introduction and your CV.

          Datasets

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          Coming soon

          Contact

          Best way to reach me is email.

          Email

          zhouliguang@cuhk.edu.cn

          Office

          Shenzhen, China

          Links

          Google Scholar · GitHub · LinkedIn