Mrs Kunzi Xie

Senior Research Associate
UNSW Canberra
School of Eng & Tech

Dr Kunzi (Winnie) Xie is a postdoctoral researcher at UNSW Canberra Space specialising in applied artificial intelligence and computer vision for real-world sensing systems. Her research focuses on spatio-temporal deep learning, multimodal perception, and predictive modelling in challenging environments, with applications in autonomous sensing, satellite and aerial tracking, and environmental monitoring.

She completed her PhD in computer science and engineering, where she developed weakly supervised and domain-generalizable learning methods for microscopy image analysis. Her current work extends these foundations to defence-relevant and industry-driven problems, where AI systems must operate reliably under noisy, sparse, and resource-constrained conditions. She has designed deployable models for mobile sensing platforms, real-time prediction, and embedded hardware, bridging academic research with operational capability.

Dr Xie has published in leading AI and sensing venues and collaborates with government and industry partners to translate research outcomes into practical systems.

  • Book Chapters | 2024
    Xie K; Guo R; Cong C; Pagnucco M; Song Y, 2024, 'Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning', in ECAI 2024, IOS Press, pp. 354 - 361, http://dx.doi.org/10.3233/FAIA240508
  • Journal articles | 2023
    Guo R; Xie K; Pagnucco M; Song Y, 2023, 'SAC-Net: Learning with weak and noisy labels in histopathology image segmentation', Medical Image Analysis, 86, pp. 102790, http://dx.doi.org/10.1016/j.media.2023.102790
  • Conference Papers | 2024
    Xie K; Guo R; Cong C; Pagnucco M; Song Y, 2024, 'Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning', in Endriss U; Melo FS; Bach K; Bugarín-Diz A; Alonso-Moral JM; Barro S; Heintz F (eds.), Frontiers in Artificial Intelligence and Applications, IOS Press, Santiago de Compostela, pp. 354 - 361, presented at 27th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, 19 October 2024 - 24 October 2024, http://dx.doi.org/10.3233/FAIA240508
    Conference Papers | 2022
    Xie K; Yang Y; Pagnucco M; Song Y, 2022, 'Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Singapore, pp. 310 - 319, presented at 25th International Conference, Medical Image Computing and Computer Assisted Intervention, MICCAI 2022, Singapore, 18 September 2022 - 22 September 2022, http://dx.doi.org/10.1007/978-3-031-16446-0_30
    Conference Papers | 2022
    Xie K; Zhong H; Chang J; Pagnucco M; Song Y, 2022, 'D2E2-Net: Double Deep Edge Enhancement for Weakly-Supervised Cell Nuclei Segmentation with Incomplete Point Annotations', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, pp. 1 - 8, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034599