Short biography
I am originally from Beijing, China. I moved to Canada in 2005. I am currently a MASc student in the VIP lab working on biomedical imaging applications, hyperspectral imaging technologies and image sparse reconstruction.
Supervisors
Research interests
My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on sparse reconstruction, conditional random fields, Hyperspectral imaging, MRI, Optical Coherence Tomography (OCT) and other medical imaging techniques and applications.
Research topics
Research demos
Publications
Journal articles
Scott, A. K., E. Li, and A. Wong, "Sea ice surface temperature estimation using MODIS and AMSR-E data within a guided variational model along the Labrador Coast", IEEE Journal of Special Topics in Remote Sensing, Accepted. Details
Conference papers
Li, E., M. J. Shafiee, F. Kazemzadeh, and A. Wong, "Sparse Reconstruction of Compressed Sensing Multi-spectral Data using Cross-Spectral Multi-layered Conditional Random Field Model
", SPIE optics and photonics 2015, San Diego, SPIE , May, Accepted. Details
Li, F., E. Li, M. J. Shafiee, A. Wong, and J. S. Zelek, "Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model", Computer and Robot Vision, March, Accepted. Details
Deglint, J., F. Kazemzadeh, M. J. Shafiee, E. Li, I. Khodadad, S. S. Saini, A. Wong, and D. A. Clausi, "Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena", SPIE Optics and Photonics, Applications of Digital Image Processing XXXVIII, August, 2015. Details
Li, E., M. J. Shafiee, A. Chung, F. Khalvati, A. Wong, and M. A. Haider, "Enhanced Reconstruction of Compressive Sensing MRI via Cross-Domain Stochastically Fully-Connected Random Field Model", International Society for Magnetic Resonance in Medicine, February, 2014. Details
Wong, A., A. K. Scott, E. Li, and R. Amelard, "Continuous sea ice thickness estimation using a joint MODIS and AMSR-E guided variational model", IEEE International Geoscience and Remote Sensing Symposium, March, 2013 Details
