Chang Xiao (肖昶)

changxiao0731 at


Research Scientist,

Adobe Research,

San Jose

I’m a Research Scientist at Adobe Research. I obtained my PhD from Columbia University. I am broadly interested in the intersection of HCI, AI/ML, and AR/VR, with a special focus on leveraging AI/ML to develop human-centered interaction techniques. I aim to develop techniques that bridge the digital and physical worlds, fostering a more integrated and intuitive user experience. I have also worked on developing trustworthy ML models that produce consistent and reliable output. I am a recipient of the Snap Research Fellowship (2019) and the Cheung-Kong Innovation Doctoral Fellowship.

My research outcomes have an impact beyond academia. At Adobe, my research on new AR shopping experiences has been presented at Adobe’s Summit Sneaks 2022. This feature has also been integrated into Adobe Commerce’s product, the AR Viewer, where I lead the research and development. My past work has received more than 50 media interviews and coverages, including by CNN, Adweek, CACM, and IEEE Spectrum. I also hold 8 US patents.

I’m always on the lookout for interns and collaborators. If you’re interested in my research and would like to collaborate, please send me an email.

representative publications

  1. HCIAR/VRVision
    MoiréWidgets: High-Precision, Passive Tangible Interfaces via Moiré Effect
    Daniel Campos Zamora, M. Doga Dogan, Alexa F. Siu, Eunyee Koh, and Chang Xiao
    ACM CHI Conference on Human Factors in Computing Systems, CHI (to appear), 2024
  2. HCIAR/VRVision
    MoiréBoard: A Stable, Accurate and Low-cost Camera Tracking Method
    Chang Xiao, and Changxi Zheng
    ACM User Interface Software and Technology, UIST, 2021
  3. backtrack.png
    BackTrack: 2D Back-of-device Interaction through Front Touchscreen
    Chang Xiao, Karl Bayer, Changxi Zheng, and Shree K. Nayar
    ACM CHI Conference on Human Factors in Computing Systems, CHI , 2021
  4. kwta.png
    Enhancing Adversarial Defense by k-Winners-Take-All
    Chang Xiao, Peilin Zhong, and Changxi Zheng
    International Conference on Learning Representations, ICLR 2020 (Spotlight, top 3%), 2020
  5. vidgets.jpg
    Vidgets: Modular Mechanical Widgets for Mobile Devices
    Chang Xiao, Karl Bayer, Changxi Zheng, and Shree K. Nayar
    SIGGRAPH, ACM Transactions on Graphics (TOG). (50K+ views on Youtube), 2019
  6. fontcode.png
    Fontcode: Embedding Information in Text Documents Using Glyph Perturbation
    Chang Xiao, Cheng Zhang, and Changxi Zheng
    SIGGRAPH, ACM Transactions on Graphics (TOG). (100K+ Views on Youtube), 2018