Xinrui Zu
PhD Student at Vrije Universiteit Amsterdam (VU Amsterdam)
Rotterdam and The Hague Netherlands
Summary
👤
Senior🎓
Top SchoolXinrui Zu is a PhD student and researcher specializing in generative models and unsupervised learning with nine years of experience spanning robot learning, NLP, and cloud research. Currently based in the Netherlands, she moved from ML research roles at TU Delft to robot learning at VU Amsterdam, bringing practical experience from internships at HP, iFLYTEK, and Tencent Cloud. Her background fuses theoretical training in mechanics (Fudan) with hands-on robotics and machine learning education in Twente and Delft, plus interdisciplinary exposure to Chinese business studies in Hong Kong. Comfortable across research and applied settings, she explores how generative methods can enable autonomous systems, and her personal mantra “stay naive” suggests a curiosity-driven approach to tackling hard problems.
9 years of coding experience
4 years of employment as a software developer
MSc, Electrical Engineering - Robotics and Mechatronics, MSc, Electrical Engineering - Robotics and Mechatronics at University of TwenteBachelor of Science - BS, Theoretical and Applied Mechanics, Bachelor of Science - BS, Theoretical and Applied Mechanics at Fudan UniversityThe University of Hong Kong (HKU)Exchange MSc, Machine learning, Exchange MSc, Machine learning at Delft University of Technology
Chinese, English, Dutch
Github Skills (6)
moveit9
operating-system8
ros8
dimensionality-reduction5
localization5
geometric3
Programming languages (4)
Github contributions (5)
zuxinrui/zuxinrui.github.io
Sep 2017 - Jun 2026
Contributions:145 pushes, 3 branches in 8 years 9 months
zuxinrui/SpaceMAP
Jun 2022 - Jul 2022
[ICML 2022] SpaceMAP is a dimensionality reduction method utilizing the local and global intrinsic dimensions of the data to better alleviate the 'crowding problem' analytically.
Contributions:11 commits, 20 pushes, 1 branch in 24 days
dimensionality-reduction
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