Yu Liu
Research Scientist at 字节跳动
Pudong, Shanghai, China
Summary
👤
Senior🎓
Top SchoolYu Liu is a research scientist at Bytedance AI Lab with 18 years of engineering and research experience focused on computer and robotic vision, particularly deep learning for 2D and 3D scene understanding. He completed a joint PhD training between the University of Adelaide and ETH Zurich, contributing to robotic vision and light-stage 3D reconstruction projects at top labs including USC and ETH. Yu has bridged academia and industry through internships at JD AI and Tencent, led a 25-person technical team building SaaS and AR try-on products, and shipped production software earlier in his career at the Agricultural Bank of China. He combines rigorous PhD-level research with hands-on product delivery, aiming to equip domain experts with practical data-science tools. Based in Pudong, Shanghai, he is approachable for collaboration and maintains a public research portfolio and personal site for deeper detail.
19 years of coding experience
1 year of employment as a software developer
PhD, Computer Vision and Deep Learning, PhD, Computer Vision and Deep Learning at The University of AdelaideBachelor's degree, Software Enginnering, 1/106, Bachelor's degree, Software Enginnering, 1/106 at Southwest UniversityDoctor of Philosophy-PhD, Computer Science, Doctor of Philosophy-PhD, Computer Science at ETH ZurichMaster's degree, Computer Science, 1/51, Master's degree, Computer Science, 1/51 at Zhejiang University
Chinese, English
Stackoverflow
1,309reputation
57kreached
31answers
5questions
Github Skills (59)
python10
risc-v10
parquet10
data-science9
image-processing9
data-structure9
pandas9
opencv9
statistics9
profiling9
apache-arrow9
data-analysis9
data-structures9
cpp8
computer-vision8
Programming languages (7)
Github contributions (5)
liuyu81/spike
Aug 2023 - Feb 2026
Spike, a RISC-V ISA Simulator
Contributions:31 pushes in 2 years 6 months
liuyu81/datagator-contrib
Jun 2015 - Dec 2015
Contributions:22 commits, 220 pushes, 2 branches in 5 months
pre-release
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