Chao-yuan Wu
Member Of Technical Staff at World Labs
United States
Summary
👤
Senior🎓
Top SchoolChao-yuan Wu is a research-driven software engineer and Ph.D. candidate in Computer Science at UT Austin with 11 years of experience applying computer vision and machine learning to real-world problems. He has a strong industry-research pedigree, having held research and internship roles at Facebook AI (including Research Scientist), Amazon, Google, Netflix, and Yahoo!, and now serves as Member of Technical Staff at World Labs. His work bridges cutting-edge research and production systems, informed by an MS in Machine Learning from Carnegie Mellon and a background in electrical engineering from National Taiwan University. Colleagues describe him as someone who moves fluidly between prototyping novel vision models and deploying scalable, application-focused solutions—an ability sharpened by repeated transitions between top-tier labs and industry teams.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The University of Texas at AustinBachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at National Taiwan UniversityExchange Student, Exchange Student at Kyushu UniversityMaster of Science (M.S.) Machine Learning, Master of Science (M.S.) Machine Learning at Carnegie Mellon University
English, Chinese, Japanese
Github Skills (53)
portable10
javascript10
dep10
dataflow10
python10
data-science10
mxnet10
machine-learning10
scheduler10
scala10
video-compression10
deep-learning10
golang10
mutation10
julia10
Programming languages (3)
Github contributions (5)
chaoyuaw/pytorch-vcii
Sep 2018 - Mar 2019
Video Compression through Image Interpolation (ECCV'18) [PyTorch]
Contributions:7 commits, 2 PRs, 5 pushes in 5 months
pytorchvideo-compressioneccvcompressioninterpolation
facebookresearch/video-long-term-feature-banks
Apr 2019 - Mar 2021
Long-Term Feature Banks for Detailed Video Understanding
Contributions:1 PR, 2 pushes, 110 comments in 1 year 10 months
pytorchunderstandinglong-termdeep-learningmachine-learning
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