Chang Xiao (肖昶) (original) (raw)

I’m a Research Scientist at Adobe Research. I am also an incoming Assistant Professor in the Computer Science Department at Boston University, starting in Fall 2025. I received my Ph.D. in Computer Science from Columbia University and B.S. from Zhejiang University. I am a recipient of the Snap Research Fellowship (2019) and the Cheung-Kong Innovation Doctoral Fellowship.

My research lies at the intersection of Human-Computer Interaction, Generative AI, Visual Computing, and AR/VR. I am particularly interested in developing human-centered interaction techniques that are intuitive, immersive, and natural. This work spans three key areas: (1) Enablement: Leveraging computational design and developing AI-driven sensing methods to make passive physical object/environment interactive, as if they were digital. (2) Creation: Empowering users to design interactive experiences with ease and creativity by building new GenAI systems. (3) Evaluation: Studying human factors to ensure our techniques align with human values, needs, and perceptions.

My research outcomes have had various impacts beyond academia. At Adobe, I have presented my research twice during Adobe’s annual event, Summit Sneaks (2022, 2024). These features have also been integrated into Adobe’s product. My past work has received more than 50 media interviews and coverages, including by CNN, Adweek, CACM, and IEEE Spectrum. I also hold 10+ US patents.

Here is my CV.

news

selected publications

1. 
   ReactFold: Towards Camera-based Tangible Interaction on Passive Paper Artifacts
   ACM International Conference on Tangible, Embedded, and Embodied Interaction, TEI (Best Paper Honorable Mention), 2025
2. 
   Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception
   Martin Feick, Xuxin Tang, Raul Garcia-Martin, Alexandru Luchianov, Roderick Wei Xiao Huang, Chang Xiao, Alexa Siu, and Mustafa Doga Dogan
   ACM CHI Conference on Human Factors in Computing Systems, CHI, 2025
3. 
   Evaluating Visual Perception of Object Motion in Dynamic Environments
   Budmonde Duinkharjav, Jenna Kang, Gavin Miller, Chang Xiao, and Qi Sun
   ACM Transactions on Graphics, SIGGRAPH Asia (Journal Track), 2024
4. 
   SonifyAR: Context-Aware Sound Effect Generation in Augmented Reality
   Xia Su, Jon Froehlich, Eunyee Koh, and Chang Xiao
   ACM Symposium on User Interface Software and Technology, UIST, 2024
5. 
   MoiréWidgets: High-Precision, Passive Tangible Interfaces via Moiré Effect
   Daniel Campos Zamora, M. Doga Dogan, Alexa F. Siu, Eunyee Koh, and Chang Xiao
   ACM Conference on Human Factors in Computing Systems, CHI, 2024
6. 
   iMarker: Instant and True-to-scale AR with Invisible Markers
   Chang Xiao, Ryan A. Rossi, and Eunyee Koh
7. 
   Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel
   Henrique Teles Maia, Chang Xiao, Dingzeyu Li, Eitan Grinspun, and Changxi Zheng
   USENIX Security, 2022
8. 
   MoiréBoard: A Stable, Accurate and Low-cost Camera Tracking Method
   Chang Xiao, and Changxi Zheng
   ACM Symposium on User Interface Software and Technology, UIST, 2021
9. 
   DeepCAD: A Deep Generative Network for Computer-Aided Design Models
   Rundi Wu, Chang Xiao, and Changxi Zheng
   International Conference on Computer Vision, ICCV, 2021
10. 
    BackTrack: 2D Back-of-device Interaction through Front Touchscreen
    Chang Xiao, Karl Bayer, Changxi Zheng, and Shree K. Nayar
    ACM Conference on Human Factors in Computing Systems, CHI, 2021
11. 
    RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification
    Jingtian Peng, Chang Xiao, and Yifan Li
    arxiv preprint, 2006.12634, 2021
12. 
    One Man’s Trash is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples
    Chang Xiao, and Changxi Zheng
    Conference on Computer Vision and Pattern Recognition, CVPR, 2020
13. 
    Enhancing Adversarial Defense by k-Winners-Take-All
    Chang Xiao, Peilin Zhong, and Changxi Zheng
    International Conference on Learning Representations, ICLR (Spotlight, top 3%), 2020
14. 
    Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
    Peilin Zhong*, Yuchen Mo*, Chang Xiao*, Pengyu Chen, and Changxi Zheng
    (*equal contribution) Neural Information Processing Systems, NeurIPS, 2019
15. 
    Vidgets: Modular Mechanical Widgets for Mobile Devices
    Chang Xiao, Karl Bayer, Changxi Zheng, and Shree K. Nayar
    ACM Transactions on Graphics, SIGGRAPH (50K+ views on Youtube), 2019
16. 
    Mechanics-Aware Modeling of Cloth Appearance
    Montazerim Zahra, Chang Xiao, Raymond Yun Fei, Changxi Zheng, and Shuang Zhao
    IEEE Transactions on Visualization and Computer Graphics, TVCG, 2019
17. 
    BourGAN: Generative Networks with Metric Embeddings
    Chang Xiao, Peilin Zhong, and Changxi Zheng
    Neural Information Processing Systems, NeurIPS (Spotlight, top 3%), 2018
18. 
    Fontcode: Embedding Information in Text Documents Using Glyph Perturbation
    Chang Xiao, Cheng Zhang, and Changxi Zheng
    ACM Transactions on Graphics, SIGGRAPH (100K+ Views on Youtube), 2018
19. 
    Two-color and 3d Phase-amplitude Modulation Holograms
    Adam Overvig, Sajan Shrestha, Chang Xiao, Changxi Zheng, and Nanfang Yu
    Conference on Lasers and Electro-Optics, CLEO, 2018