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Warm Greetings! I'm currently a fifth year Ph.D. student at the Department of Electrical and Computer Engineering of the University of Virginia. I'm working on biomedical image processing projects under the guidance of Prof. Daniel Weller. I completed my bachelor's degree with honor in Information Engineering (2010-2014) from Shanghai Jiao Tong University. My main research interests include image quality assessment, 3D image reconstruction, and biomedical image segmentation. After work, I love sports, such as pingpong (NCTTA ranking), squash and badminton.


  • [January 2019] One paper accepted by IEEE Trans. on Image Processing
  • [October 2018] One paper accepted by IEEE Trans. on Medical Imaging

Ongoing projects

  • example graphic 3D Brain Reconstruction with Multilayer Confocal Microscopy
    The high resolution and flexible choices of stains make the microscopy an irreplaceable tool to observe fine brain structures, such as cells. The raw data (~20 brain sections after tissue clearing) of the reconstructed brain on the left is acquired by Dr. Kapur's lab, and the red fluorescence of tdTomato reflects the seizure spreading during epilepsy. Visualizing and analyzing the seizure spreading pathway help neuroscientists find out the mechanism of epilepsy and the drugs to terminate epilepsy an early stage.
    More details about the reconstruction method can be found here.

  • example graphic Cell Counting and Segmentation in the Dentate Gyrus
    The dentate gyrus is one of the most active regions in the hippocampus. Numerous brain activities are proved to be related to the dentate gyrus, such as the formation of episodic memories and exploration of novel environments.
    The image on the left is a zoom-in view of the dentate gyrus. The brain specimens in this experiment are double stained by the fluorescence of NeuN and tdTomato. NeuN labels all the nucleus, and tdTomato indicates the activated ones. The segmentation method is based on U-net, and more details will be introduced later.

  • example graphic Analysis of the Cell Activation topology
    The dentate gyrus of adult mice contains millions of granule cells, but only a few hundreds to a few thousands of these cells are activated to differentiate environments. The sparse coding by sparse activation in the mouse brain is linked to the task of exploring new environments.
    The image on the left shows the activated granule cells in the dentate gyrus. The processing pipeline is based on Mask-RCNN, and more details will be introduced later.



  • Haoyi Liang and Daniel S. Weller. “System, Method and Computer Readable Medium for Quality Assessment for Parameter Selection”, non-provisional US patent application, 15/349, 971, filed on November 11, 2016.

Professional Activities

  • Reviewer, IEEE Transactions on Multimedia
  • Reviewer, IEEE Transactions on Circuits and Systems for Video Technology
  • Reviewer, IEEE Access
  • Reviewer, Signal Processing: Image Communication
  • Reviewer, Journal of Visual Communication and Image Representation