Haoyu Wei

512 Chow Yei Ching Building, The University of Hong Kong

I am a second-year Ph.D. student at Imaging Systems Lab, HKU. I am fortunate to be advised by Prof. Edmund Y. Lam and Dr. Evan Peng.

Before that, I was a master student at Northwestern University in Prof. Oliver Cossairt’s group. My Ph.D. research is in the field of computational imaging with more emphasis on computational photography. Specifically I am desigining optical encoding and inverse algorithsm. I’ve also investigated sparse CT reconstruction, light field holographic rendering, deflectometry for 3D surface profile.

I love hiking, running, and all kinds of sports. Thriller is my favorate type of movies.

news

Aug 14, 2023	I am presenting in COSI 2023, Boston, on “Learned Large FoV Imaging with Efficient Shift-Variant Wave Optics Modeling”.
Jul 20, 2023	New Optica paper on “Modeling Off-Axis Diffraction with the Least-Sampling Angular Spectrum Method” is online!
May 24, 2023	Updated this website

selected publications

Modeling Off-Axis Diffraction with the Least-Sampling Angular Spectrum Method

Haoyu Wei, Xin Liu, Xiang Hao, and 2 more authors

Optica, Jul 2023

Abstract Bib Paper Code Website

@article{Wei:23,
  title = {Modeling Off-Axis Diffraction with the Least-Sampling Angular Spectrum Method},
  author = {Wei, Haoyu and Liu, Xin and Hao, Xiang and Lam, Edmund Y. and Peng, Yifan},
  journal = {Optica},
  volume = {10},
  number = {7},
  pages = {959--962},
  publisher = {Optica Publishing Group},
  year = {2023},
  month = jul,
  doi = {10.1364/OPTICA.490223},
}

2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network

Haoyu Wei, Florian Schiffers, Tobias Würfl, and 4 more authors

arXiv, Jul 2020

Abstract arXiv Bib Code

@article{wei:2020:2,
  title = {2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network},
  author = {Wei, Haoyu and Schiffers, Florian and W{\"u}rfl, Tobias and Shen, Daming and Kim, Daniel and Katsaggelos, Aggelos K and Cossairt, Oliver},
  journal = {arXiv},
  year = {2020},
}