Jingjie's Notes

Jingjie Zheng
Master's Candidate, University of Waterloo


About Me

  • Master's Student in Computer Science at University of Waterloo, focusing on Expressive Interaction Design with Prof. Daniel Vogel.
  • Interested in Human-Computer Interaction, Computer Vision, Computer Graphics, Machine Learning, and Medical Image Processing.
  • Proficient in Full-Stack Web Development, Systems Programming, and Desktop Application Development.


    Finger-Aware Shortcuts

    We leveraged computer vision and machine learning techniques to identify the hand, finger, and posture on a laptop keyboard when a key is being pressed to enable more shortcut commands. (more)

    Knee Image Registration

    We proposed a robust solution to align the human knee images in the modalities of Computed Tomography (CT) and Magnetic Resonance (MR) to construct 3D models for disease diagnosis and stress analysis.


conference papers

  1. Jingjie Zheng, Daniel Vogel. 2016. Finger-Aware Shortcuts. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 4274-4285.

journal articles

  1. Zhenyan Ji, Jingjie Zheng, Kuangdi Yu, Qin An, Zhiming Guo, and Zuyi Wu. 2014. From Image Registration to Shape Correspondence: New Solution for Preprocessing CT and MRI of Human Knee. Journal of Computational Information Systems 10, 22 (2014), 9771-9778.
  2. Jingjie Zheng, Zhenyan Ji, Kuangdi Yu, Qin An, Zhiming Guo, and Zuyi Wu. 2015. A Feature-Based Solution for 3D Registration of CT and MRI Images of Human Knee. Signal, Image and Video Processing 9, 8 (2015), 1815–1824.