Dr Chengpei Xu

Dr Chengpei Xu

Research Associate
Engineering
Mineral and Energy Resources Engineering

Dr. Chengpei Xu is a Postdoc Fellow at the Mine Internet of Things and Indoor Positioning (MIoT & IPIN) Lab, MERE, University of New South Wales, Sydney.

He received his Bachelor's degree in System Engineering from NUDT, China, Master's degree in Information Technology from University of New South Wales (UNSW), and Ph.D. degree in Computing Sciences and Engineering from University of Technology Sydney (UTS) in 2022.

His research focuses on Multi-modal Learning and Generative AI. He is dedicated to designing deep learning algorithms for multi-modal scene/document understanding and analysis, as well as developing generative AI for various applications such as healthcare, eLearning and human–computer interaction. Additionally, his works extends to multi-modal sensor fusion aimed at understanding complex, degraded environments and the detection and recognition of arbitrarily shaped scene text. His expertise spans several applied domains, enhancing the practical impact.

  • Journal articles | 2023
    Wang W; Pagnucco M; Xu C; Song Y, 2023, 'InterREC: An Interpretable Method for Referring Expression Comprehension', IEEE Transactions on Multimedia, 25, pp. 9330 - 9342, http://dx.doi.org/10.1109/TMM.2023.3251111
    Journal articles | 2023
    Xu C; Jia W; Wang R; He X; Zhao B; Zhang Y, 2023, 'Semantic Navigation of PowerPoint-Based Lecture Video for AutoNote Generation', IEEE Transactions on Learning Technologies, 16, pp. 1 - 17, http://dx.doi.org/10.1109/TLT.2022.3216535
  • Conference Papers | 2022
    Gu Z; Yang X; Jia W; Xu C; Yu P; He X; Chen H; Lin Y, 2022, 'StrokePEO: Construction of a Clinical Ontology for Physical Examination of Stroke', in Proceedings - 2022 9th International Conference on Digital Home, ICDH 2022, pp. 218 - 223, http://dx.doi.org/10.1109/ICDH57206.2022.00041

Australia’s Economic Accelerator (AEA), 2024-2025, “Rock bolt identification based on LiDAR point cloud”, $160,000 (CI)

My Research Supervision

MPhil student: Birgul Topal, from Middle East Technical University, Ankara, Turkey. Thesis: Using Rock Bolts to Enhance
Partially Overlapping Point Cloud Registration Accuracy in Mine Tunnels.