Huaiyuan Xu

Postdoctoral Fellow @ Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University

I am a Postdoctoral Fellow at the Department of Electrical and Electronic Engineering (EEE), The Hong Kong Polytechnic University (PolyU). My research centers on Computer Vision and Artificial Intelligence, towards a better end-to-end automated system for edge intelligent agents. My work focuses on three key areas:

  1. Vision-Centric Autonomous Driving – Advancing understanding, interaction, and navigation in the 3D world through vision-based observation.

  2. Robustness Across Modalities – Ensuring robust performance of AI models across various sensors used by different agents.

  3. Efficiency For On-Board Deployment – Pushing the efficiency frontier of space intelligence systems to enhance cost-effectiveness.

Before coming to PolyU, I received my PhD degree from the School of Precision Instrument and Optoelectronics Engineering at Tianjin University (TJU), advised by Prof. CHEN Xiaodong. I completed both B.Eng and M.Eng study at Tianjin University. Currently, I work closely with Prof. CHAU Lap-Pui and Dr. WANG Yi.

I am open to collaborations (anytime & anywhere & any type). If you are interested in working with me, feel free to reach out via email at huaiyuan.xu@polyu.edu.hk. I will provide GPU support if we are a good fit.

news

Sep 4, 2024 🎉 One paper was accepted at Information Fusion (IF: 14.7), with GitHub link.
Jul 2, 2024 🎉 One paper was accepted at IEEE Transactions on Intelligent Vehicles (IF: 14.0).

selected publications

  1. Inf. Fusion
    A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
    Huaiyuan Xu, Junliang Chen, Shiyu Meng, Yi Wang, and Lap-Pui Chau
    Information Fusion 2025
  2. T-IV
    C2L-PR: Cross-modal Camera-to-LiDAR Place Recognition via Modality Alignment and Orientation Voting
    Huaiyuan Xu, Huaping Liu, Shoudong Huang, and Yuxiang Sun
    IEEE Transactions on Intelligent Vehicles 2024
  3. T-CSVT
    Learning Semantic Alignment Using Global Features and Multi-Scale Confidence
    Huaiyuan Xu, Jing Liao, Huaping Liu, and Yuxiang Sun
    IEEE Transactions on Circuits and Systems for Video Technology 2023