at Sai Wan Beach in 2022
My topics of interest include computer graphics, computer vision and deep learning.
In particular, I work on projects in neural rendering, 3D reconstruction, and physically-based simulation for healthcare applications.
(Note: * indicates equal contribution.)
Early accepted by MICCAI 2022 (Oral, Student Travel Award)
We propose a neural rendering framework for reconstructing deformable tissues from stereo endoscopic images captured in robotic surgery.
[Pdf] [arXiv] [Code] [Webpage]
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] [arXiv] [Code]
Implementation of essential algorithms and applications for rendering and geometry processing in the area of computer graphics, including OpenGL, global illumination, volume rendering, Loop subdivision, etc.
- CSCI4190 Introduction to Social Networks - Spring 2022 (TA)
- CSCI3230 Fundamentals of Artificial Intelligence - Fall 2021 (TA)
- CS171 Computer Graphics - Spring 2021 (TA)
- MATH1112 Linear Algebra - Fall 2019, Fall 2020 (TA)
- UTech Academy AI Camp - Summer 2020 (TA of Data Science)
- SI100 Introduction to Computer Programming - Fall 2018 (TA)
As a hardcore of music, especially for rock music, I practice guitar (checkout my song covers) and try to write songs when I am not doing research. I adore many vintage bands like Led Zeppelin, Guns N' Roses, Pink Floyd, Queen, Eagles, and The Beatles. My favorite guitarists are Jimmy Page, Slash, David Gilmour and George Harrison.
As a music amateur, I made this toy music album with Apple's Garageband™ loop packs. Each song was made to reflect my innermost mood. Drawing inspiration from many artists' masterpieces, I portrayed every song with various music styles.