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, embodied AI, and machine learning. I was fortunate to work with Professor Yangsheng Xu and Professor Tin Lun Lam during my studies.

News & Updates

  • Nov 2025

    One paper accepted by IEEE TITS. Focus: unbiased scene graph generation for traffic scene understanding with peer-learning-based generalization.

  • Dec 2024

    One paper accepted by ICASSP. Focus: class-relevance learning for out-of-distribution (OOD) detection in open-world settings.

  • Sep 2023

    One paper accepted by IEEE RAL. Focus: self-supervised single-line LiDAR depth completion.

  • Mar 2023

    One paper accepted by IEEE TCSVT. Focus: natural image matting with sampling propagation attention and trimap generation.

  • Feb 2023

    One paper accepted by IEEE TIM. Focus: structure-aware audio-visual scene classification with graph convolution.

  • Feb 2023

    One paper accepted by ICASSP 2023. Focus: blind-spot self-supervised affinity learning for image denoising.

  • Oct 2022

    One paper accepted by BMVC 2022. Focus: open-set matting with OOD detection and few-shot adaptation.

  • Aug 2022

    One paper accepted by IEEE TIP. Focus: divide-and-co-training for better accuracy-efficiency trade-offs.

  • Jul 2021

    Three papers accepted by IROS 2021. Topics include indoor scene recognition, object relation modeling, and BCI-assisted robot navigation.

  • Mar 2021

    One paper accepted by ICRA 2021. Focus: long-range hand gesture recognition with an attention-based SSD network.

Selected Publications

Journals

    Conference Proceedings

      Interested in the full list? Add your complete publication list here or link out to Google Scholar.

      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

      • Spring 2021

        TA, EIE3080 Microprocessors, CUHKSZ.

      • Spring 2020

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

      • Fall 2019

        TA, CSC4160 Cloud Computing, CUHKSZ.

      • Spring 2019

        TA, EIE3080 Microprocessors, CUHKSZ.

      • Fall 2018

        TA, CSC3050 Computer Architecture, CUHKSZ.

      • Spring 2018

        TA, EIE3080 Microprocessors, CUHKSZ.

      • Fall 2017

        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

      Links to datasets and benchmarks can be listed here. Add short descriptions and citations as needed.

      Dataset Placeholder

      Replace this with your dataset name, focus, and access link.

      Coming soon

      Contact

      Best way to reach me is email.

      Email

      zhouliguang@cuhk.edu.cn

      Office

      Shenzhen, China

      Links

      Google Scholar · GitHub · LinkedIn

      Visitor Summary

      Geographic visitor overview based on recent server access logs (auto-updated data source).

      Total Visitors --
      Countries --
      US States --

      By Region

        Top Locations