Mengyu Yang
Machine Learning PhD Student at Georgia Tech
About Me
Hi! I’m a second-year Machine Learning PhD student at Georgia Tech working with James Hays. I received my BASc in Engineering Science with Honours from the University of Toronto, where I specialized in Machine Intelligence.
I will be interning at Google Cambridge during Fall 2023 working on audio-visual sound source separation!
Here’s my CV.
Research Interests
My interests lie at the intersection of computer vision and machine learning. My goal is to build models capable of understanding the visual world through multi-modal data.
Topics include:
- Multi-modal learning (most recently in audiovisual learning)
- Representation learning
- Video understanding
Publications
(2023).
The Un-Kidnappable Robot: Acoustic Localization of Sneaking People.
arXiv 2023.
(2021).
TriBERT: Human-centric Audio-visual Representation Learning.
NeurIPS 2021.
(2021).
Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio Processing.
CHI 2021.
(2020).
Mask-Guided Discovery of Semantic Manifolds in Generative Models.
NeurIPS 2020 Creativity Workshop.
(2020).
Musical Speech: A Transformer-based Composition Tool.
NeurIPS 2020 Demonstration Track.