CV

Current CV and professional background.

Contact Information

Name Yangzheng Wu
Professional Title Team Lead, Embodied AI Senior Researcher
Email aaron1994wu@gmail.com

Professional Summary

Embodied AI and computer vision researcher focused on vision-language-action systems, robotics, and 6DoF object pose estimation.

Experience

  • 2025 - present

    Canada

    Team Lead, Embodied AI Senior Researcher
    Huawei Canada Research Institute
    • Led embodied AI research using diffusion-based vision-language-action models for intelligent agent behavior in real-world and simulated environments.
    • Technical Lead for The NorthStar Team, ranked 4th worldwide in the NeurIPS 2025 BEHAVIOR-1K Challenge.
    • Proposed and validated VLA-based embodied AI architectures for improved task completion across diverse environments.
  • 2018 - 2020

    Canada

    Augmented Reality Software Developer
    ARxAI Inc.
    • Built ball and cue detection algorithms with OpenCV.
    • Developed an FFmpeg-based mini video player rendered with OpenGL.
    • Worked with Blackfly and Daheng camera APIs, plus pool-table camera and projector homographies.
  • 2017 - 2017

    Wuxi, China

    Robotics Intern
    Jabil Circuit (Wuxi, China) Co., Ltd.
    • Developed a nozzle QR code scanner algorithm for NXT machines.
    • Debugged C# code for NXT nozzle management and cleaning equipment.
  • 2016 - 2016

    China

    Statistics Analysis Intern
    L'Oreal China Research and Innovation Center
    • Conducted statistical analysis using regression models, neural networks, and decision trees in SPSS and R.

Education

  • 2022 - 2025

    Kingston, Ontario, Canada

    PhD
    Queen's University
    Electrical and Computer Engineering
    • Supervisor: Dr. Michael Greenspan
    • Thesis: Advancing 6DoF Object Pose Estimation: Keypoint Voting, Optimal Keypoint Sampling, and Bridging the Simulation-to-Real Gap
  • 2021 - 2022

    Kingston, Ontario, Canada

    MASc
    Queen's University
    Electrical and Computer Engineering
    • Supervisor: Dr. Michael Greenspan
    • Thesis: Radial Voting Based Keypoint and 6DoF Pose Estimation
  • 2017 - 2018

    Kingston, Ontario, Canada

    MEng
    Queen's University
    Electrical and Computer Engineering
    • Advisor: Dr. Michael Greenspan
    • Report: Detection, Identification, and Tracking of Ball and Cue Stick in ARPool
  • 2014 - 2017

    Nanjing, China

    BS
    Nanjing Forestry University
    Electrical Engineering and Automation
    • Undergraduate research advisor: Dr. Chunhua Hu
    • Thesis: Identification of water shortage in poplar saplings based on SVM
  • 2015 - 2015

    London, United Kingdom

    Summer School
    Imperial College London
    Robotics Summer School
    • Built a tennis ball collection robot with Lego NXT and vision algorithms.

Awards

  • 2025
    Technical Lead, The NorthStar Team - 4th Place Worldwide
    NeurIPS BEHAVIOR-1K Challenge

    Stanford University and NVIDIA challenge for long-horizon embodied AI.

  • 2022
    Main Contributor, Best-Performing Method on ITODD
    BOP 2022 6DoF Rigid Object Pose Estimation Challenge

    Meta and Niantic challenge benchmark.

  • 2021
    Fully Funded MASc and PhD Scholarships
    NSERC Canada

Patents

Skills

Embodied AI and Robotics: Vision-Language-Action Models, Isaac Sim, ManiSkill, CuRobo
Machine Learning and Vision: Python, PyTorch, scikit-learn, OpenCV, Open3D, CUDA C
Systems: Docker, Git, C++, OpenGL, FFmpeg