• Find an Expert
  • Contact
  • SearchSearch icon
  • Menu
  • Help
  • Report an issue

Contact


Email

xiaocai.zhang@unimelb.edu.au

Credentials


Position
Research Fellow, Transport
Department of Infrastructure Engineering
ORCID

0000-0002-3783-6560

Dr Xiaocai Zhang

Research Fellow, Transport
Department of Infrastructure Engineering

54 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Adaptive and asynchronous integration of gray and white matter fMRI for brain disorder diagnosis
    DOI: 10.1016/j.patcog.2026.113502
  • 2026

    Journal article

    Human-centric traffic signal control for equity: A multi-agent action branching deep reinforcement learning approach
    DOI: 10.1016/j.engappai.2026.114904
  • 2026

    Journal article

    Regulating jaywalking behaviour in adaptive traffic signal control using a novel deep reinforcement learning approach
    DOI: 10.1016/j.multra.2025.100271
  • 2026

    Journal article

    AI-driven Just-In-Time coordination between port and ships: Advancing maritime decarbonization
    DOI: 10.1016/j.tre.2025.104569
  • 2026

    Journal article

    Natural language processing and text mining in transportation: Current status, challenges, and future roadmap
    DOI: 10.1016/j.eswa.2025.129050
  • 2026

    Conference Proceedings

    Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification
    DOI: 10.1007/978-3-032-04965-0_25
  • 2026

    Conference Proceedings

    Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation
    DOI: 10.1609/aaai.v40i46.41313
Xiaocai Zhang

RECENT SCHOLARLY WORKS

  • 2026

    Conference Proceedings

    Task-Aligned fMRI Generation Model for Brain Disorder Diagnosis
    DOI: 10.1007/978-3-032-05162-2_61
  • 2026

    Journal article

    Multi‐Objective Multi‐Step Adaptive Traffic Control (MOMSATC): Prioritising Pedestrians for a Safe and Sustainable Transport Development
    DOI: 10.1049/itr2.70150
  • 2025

    Journal article

    Towards fair lights: A multi-agent masked deep reinforcement learning for efficient corridor-level traffic signal control
    DOI: 10.1016/j.commtr.2025.100203

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

About us  

Careers at Melbourne  

Safety and respect  

Newsroom  

Contact  

Campus locations  

Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


Address:
The University of Melbourne
Grattan Street, Parkville,
Victoria, 3010, Australia

facebookIconlinkedinIconinstagramIcon

Emergency information  |  Disclaimer and copyright  |  Accessibility  |  Privacy

CRICOS number: 00116K     ABN: 84 002 705 224