😀 About me

I am a PhD student at the University of Macau, supervised by Prof. Chi-Man Pun and Prof. Qieshi Zhang. Prior to this, I earned my Master’s degree from Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences.

My research is at the intersection of Computer Vision and Robotics, with a core focus on Visual Place Recognition (VPR). Now, I am particularly interested in developing robust, lightweight methods for autonomous navigation.

🔍 Research Interests

  • Visual Place Recognition (VPR): Lightweight feature extraction and distilled representation for large-scale scene recognition.
  • Generative Features for VPR: (Ongoing) Exploring Diffusion-based descriptors (DIFT) for localization tasks.

🎓 Education

  • Ph.D. in Computer Science, University of Macau, 2024 – Present
  • M.Sc. in Computer Technology, University of Chinese Academy of Sciences (UCAS) & SIAT, 2021 – 2024
  • B.Tech. in Computer Science, Dongguan University of Technology (DGUT), 2016 – 2020

📖 Publications

  • Zhenyu Xu, Q. Zhang, et al. “Enhancing Visual Place Recognition using Discrete Cosine Transform and Difference-based Descriptors”, IEEE Transactions on Circuits and Systems II (TCAS-II), 2024. (JCR-Q2, Co-first Author)
  • Q. Zhang, Zhenyu Xu, et al. “Distilled Representation Using Patch-based Local-to-global Similarity Strategy for Visual Place Recognition”, Knowledge-Based Systems (KBS), 2023. (JCR-Q1, Co-first Author)
  • Zhenyu Xu, Z. Ren, Q. Zhang, et al. “Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition”, IEEE International Conference on Robotics and Automation (ICRA), 2024. (CCF-B)
  • Zhenyu Xu, et al. “VGG-CAE: Unsupervised Visual Place Recognition using VGG16-Based Convolutional Autoencoder”, PRCV, 2021. (CCF-C)

(Google Scholar)

💡 Patents

  • Zhenyu Xu, et al. “Image Recognition Method and Apparatus, and Electronic Device”, Chinese Invention Patent, CN202111205293.3.
  • Q. Zhang, Zhenyu Xu, et al. “Image Matching Method and Apparatus, and Electronic Device”, Chinese Invention Patent, CN202211484161.3.

Last updated: Dec 2025