Talks

Invited Talks

  • From TinyML to On-Device LLMs: Bringing Trustworthy AI into the Physical World

    Physical AI Meetup, Auckland, New Zealand.
    June 8, 2026.

  • From TinyML to On-Device LLMs: Reliable and Scalable Edge Intelligence

    Tsinghua University, China
    Jan 14, 2026.

  • On-Device ML: Opportunities and Challenges

    Wuhan University, China
    Dec 25, 2025.

  • Efficient, Robust, and Applied Artificial Intelligence for the Edge

    University of Auckland, Auckland, New Zealand.
    April 9, 2025.

  • Robust and Adaptive On-Device AI: From TinyML to On-device LLMs

    Samsung AI Centre Cambridge, UK
    April 4, 2025.

  • Advancing Mobile Sensing Systems and Efficient AI: Bridging the gap between AI and resource-constrained wearable devices

    Microsoft Research Asia, China
    Mar 26, 2025.

  • Efficient Compilers for TinyML and LLMs

    Google
    Nov 11, 2024.

  • Mobile HCI via Edge Intelligence

    CSE, University of New South Wales, Sydney, Australia
    July 9, 2024

  • Mobile Human-Computer Interaction and Edge AI

    CIS, FEIT, University of Melbourne, Melbourne, Australia
    June 26, 2024.

  • MobileHCI via Novel Mobile Sensing and Edge Intelligence

    x-Lab & IITP, University of Melbourne, Melbourne, Australia
    September 3, 2024.

  • Empowering Personalized Intelligence Through Adaptive Pocket AI

    RMIT University, Melbourne, Australia
    November 13, 2024

  • Ubiquitous, Secure and Efficient Mobile Sensing Intelligence

    MobiSys'23, Helsinki, Finland
    June 19, 2023.

  • Resource and Uncertainty Aware Event Detection for Microcontrollers

    Mobile System Lab, University of Cambridge, Cambridge, UK
    April 16, 2022.

  • TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices

    NeurIPS'24, Vancouver, Canada.
    December 10, 2024, paper presentation

  • Uncertainty and Resource-Aware Event Detection on Microcontrollers

    PerCom'24, Biarritz, France.
    March 11, 2024, paper presentation

  • Ubiquitous Fine-Grained Swing Tracking Framework via Stochastic Neural Architecture Search and Adversarial Learning

    IMWUT'21, Virtual
    September 22, 2021, paper presentation

  • Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Network

    EWSN'21, Delft, Netherlands
    February 18, 2021, paper presentation

  • Mobile Golf Swing Tracking Using Deep Learning with Data Fusion

    Sensys'19, New York, USA
    January 13, 2019, paper presentation