Welcome to my corner of the internet!

I’m an ECE MASc student under Dr. Jane Z Wang at UBC currently working on combining Deep Learning and signal processing for automatic diagnosis of Parkinson’s Disease. My BASc in Electrical Engineering was completed with distinction at UBC in 2022.

I like thinking about AI, robotics and a whole other list of things too long to mention explicitly.

I’ve also worked on ML for particle physics at TRIUMF, developing neutrino event classification algorithms for the under-construction Hyper-K experiment in Japan.

I’ll fill this page out soon^tm   ¯\_(ツ)_/¯

Publications (Google Scholar)

PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation
Tianze Yu, Luke Bidulka, Martin J. McKeown, Z. Jane Wang
Sensors, 2023
[Code]

Projects (GitHub)

Music is All You Need for Art
Novel method to create visually appealing, mood and genre informed image representations directly from music audio data.

Misc

Heres a list of some papers I’ve found interesting recently:

• Perceiver IO: A General Architecture for Structured Inputs & Outputs
• Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
• Open-Ended Learning Leads to Generally Capable Agents
• Curiosity-driven Exploration by Self-supervised Prediction (PMLR, 2017)
• Deep physical neural networks trained with backpropagation (Nature 2022)