
My topics of interest include computer graphics, computer vision and deep learning.
In particular, I work on projects in neural rendering, 3D reconstruction, and graph learning.
Below are listed my research works.
(Note: * indicates equal contribution.)

Peihao Wang*, Yuehao Wang*, Hua Lin, Jianbo Shi
Submitted to ICML 2021
We show that multi-layer second-order graph convolution (SoGC) is sufficient to attain the ability of expressing polynomial spectral filters with arbitrary coefficients.
[Pdf] [Supplement] [Code]
- CS171 Computer Graphics - Spring 2021 (TA)
- MATH1112 Linear Algebra - Fall 2019, Fall 2020 (TA)
- UTech Academy AI Camp - Summer 2020 (TA of Data Science Track)
- SI100 Introduction to Computer Programming - Fall 2018 (TA)

A course project implemented essential algorithms and applications for rendering and geometry processing in the area of computer graphics, including OpenGL, global illumination, volume rendering, Loop subdivision, etc.
[Github]

I am a hardcore of music, especially Rock & Roll music. I am fond of songs composed by Led Zeppelin, Pink Floyd, Queen, and The Beatles. I play guitar and try to write songs when I have spare time. My favorite guitarists are Jimmy Page, David Gilmour and George Harrison.

As a music amateur, Yuehao Wang made this toy music album with Apple's Garageband™. The album is named after 1970's United States human spaceflight program "Apollo", standing for authors' exploring in musical world is exactly like a spaceship travelling over the galaxy.
[Listen Online]
I have worked with many excellent collaborators during my academic journey. I would like to express my gratitude to them for their efforts devoted to our jobs.
- Peihao Wang (Undergra @ ShanghaiTech)
- Ge Zhang (Undergra @ ShanghaiTech)
- Minye Wu (PhD @ ShanghaiTech)
- Hua Lin (MS @ CAS)
- Rui Wang (Undergra @ ShanghaiTech)
- Yincen Xia (MS @ UPenn)
- Guangyuan Weng (Undergra @ ShanghaiTech)
- Qixuan Zhang (Undergra @ ShanghaiTech)