Xun Xu
Research Group Lead at A*STAR Institute for Infocomm Research (A*STAR I²R)
Singapore
Summary
👤
Senior🎓
Top SchoolXun Xu is a research group lead and scientist at A*STAR I²R in Singapore with a decade of experience building data-efficient and robust deep learning methods for 3D vision and semiconductor applications. He holds a PhD from Queen Mary University of London and has a track record of securing multi-million-dollar programmatic grants and competitive early-career funding for work on semi-/self-supervised learning, domain adaptation and point-cloud deep learning. Previously a research fellow at NUS, he has collaborated with prominent academics and steered projects on dynamic vision for autonomous driving and weakly supervised 3D segmentation. Xun combines academic rigor—evidenced by an active Google Scholar presence—with applied leadership, running a group that recruits and funds PhD and intern talent. He is particularly focused on learning-with-less-data approaches and is bringing that expertise to developing foundation models and robust algorithms for 3D perception in industrial contexts.
10 years of coding experience
3 years of employment as a software developer
Master of Science Control Theory and Control Engineering, Master of Science Control Theory and Control Engineering at Sichuan UniversityDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Queen Mary University of London
Stackoverflow
11reputation
75reached
0answers
1question
Github Skills (18)
pointnet8
computer-science6
cluster-analysis6
optimization6
math6
algorithm6
segmentation5
autoencoder5
classification5
visualization4
pytorch4
machine-learning4
deep-learning4
pure-python3
python3
Programming languages (2)
Github contributions (5)
alex-xun-xu/MachineLearningPython
Dec 2017 - Feb 2025
Contributions:4 pushes, 1 branch in 7 years 3 months
alex-xun-xu/WeakSupPointCloudSeg
May 2020 - Aug 2020
Contributions:4 commits, 17 pushes, 1 branch in 3 months
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