Liguang Zhou | Personal Website

Research Focus

I work on robotics, embodied AI, and machine learning, with a focus on building perception systems that connect agents to real-world environments.

Robotics Core domain

Vision Perception focus

ML Learning systems

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

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.

Contact Me

Datasets

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Coming soon

Contact

Best way to reach me is email.

zhouliguang@cuhk.edu.cn

Office

Shenzhen, China

Links

Google Scholar · GitHub · LinkedIn