Chao-yuan Wu

Member Of Technical Staff at World Labs

United States
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Summary

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Senior
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Top School
Chao-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.
code12 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at The University of Texas at Austin
bookBachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at National Taiwan University
bookExchange Student, Exchange Student at Kyushu University
bookMaster of Science (M.S.), Machine Learning, Master of Science (M.S.), Machine Learning at Carnegie Mellon University
languagesEnglish, Chinese, Japanese
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Github Skills (28)

javascript10
dataflow10
python10
mxnet10
video-understanding10
scala10
video-compression10
go10
deep-learning10
mobile10
julia10
convolutional-neural-networks8
action-recognition7
first-order-logic7
tensorboard6

Programming languages (4)

JavaC++Jupyter NotebookPython

Github contributions (5)

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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-compression
Long-Term Feature Banks for Detailed Video Understanding
Contributions:1 PR, 2 pushes, 110 comments in 1 year 10 months
video-understanding
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