Luyao Xia's Personal Page

About Me

I am a Postdoctoral Fellow at the Auckland Bioengineering Institute, The University of Auckland. My research sits at the intersection of artificial intelligence, medical robotics, and biomedical engineering.

I received my Ph.D. in Control Science and Engineering from Tongji University in 2025. My work develops AI systems for 3D spatial understanding, robotic perception, embodied intelligence, and healthcare applications.

Research Interest

My research focuses on embodied AI, medical robotics, multimodal perception, causal inference, and human-robot interaction. I am especially interested in intelligent systems that can perceive, reason, and act safely in complex physical and clinical environments.

Current projects include soft tissue segmentation, deformation tracking, force-augmented visual tracking, and mixed-reality surgical guidance for healthcare platforms.

Selected Publications

  1. ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization. Y. Liu, L. Xia, H. Liu, J. Liang, H. Li, K. Gai, and H. Bai. International Conference on Learning Representations (ICLR), 2026.
  2. Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning Recommendations. Y. Liu, Y. Miao, and L. Xia. AAAI Conference on Artificial Intelligence, 2025.
  3. Augmented reality and indoor positioning based mobile production monitoring system to support workers with human-in-the-loop. L. Xia, J. Lu, Y. Lu, H. Zhang, Y. Fan, and Z. Zhang. Robotics and Computer-Integrated Manufacturing, 2024.
  4. Semantic knowledge-driven A-GASeq: A dynamic graph learning approach for assembly sequence optimization. L. Xia, J. Lu, Y. Lu, W. Gao, Y. Fan, Y. Xu, and H. Zhang. Computers in Industry, 2024.
  5. Construction and application of smart factory digital twin system based on DTME. L. Xia, J. Lu, H. Zhang, M. Xu, and Z. Li. The International Journal of Advanced Manufacturing Technology, 2022.

Selected Honors and Grants

  • Gold Reviewer Reward, International Conference on Machine Learning (ICML), 2026.
  • Research Grant from Beijing Dajia Internet Information Technology Co., Ltd., PI, 2026-2027.
  • ABI Rapid-test project fund, PI, Force-Augmented Visual Tracking for Soft Tissue Deformation in Mixed-Reality Surgical Guidance, 2025.
  • Excellent Doctoral Dissertation, Tongji University, 2025.

CV

Education

  • Ph.D., Control Science and Engineering, Tongji University, China, 2025.
  • M.E., Control Engineering, Tongji University, China, 2020.
  • B.E., Electrical Engineering and Automation, China University of Mining and Technology, China, 2015.

Professional Experience

  • Postdoctoral Fellow, Auckland Bioengineering Institute, The University of Auckland, New Zealand, July 2025 - Present.
  • Research Assistant, Tongji University, China, September 2020 - January 2021.
  • AI Engineer, China UnionPay, China, July 2019 - October 2019.
  • R&D Engineer, KingClean, China, July 2015 - April 2016.

Research Outputs

  • 6 peer-reviewed journal articles and 16 peer-reviewed conference proceedings listed in the New Zealand Standard CV.
  • 2 granted China patents and 3 issued software copyrights.