Yanbin Liu
Senior Lecturer at Auckland University of Technology
Auckland, Auckland, New Zealand
Summary
👤
Senior🎓
Top SchoolYanbin Liu is a Senior Lecturer and researcher in deep learning at Auckland University of Technology with 11 years of experience bridging academic research and applied AI. His work focuses on learning under limited labels and distribution shifts, with notable expertise in few-shot/meta-learning, spatio-temporal modeling, and medical imaging including brain-inspired neural networks. He progressed through postdoctoral and research fellow roles at leading Australian institutions (ANU, UWA, UTS) and brings hands-on industry internship experience at RIKEN and AITRICS. Yanbin combines rigorous PhD training with a practical bent toward robust models for real-world, label-scarce domains—a profile suited to collaborative projects that require both theoretical depth and translational impact.
11 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Tianjin UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Technology Sydney
Github Skills (36)
pytorch10
utf10
meta-learning10
few-shot-learning10
metric-learning8
youtube7
autoencoder7
action-recognition7
bayesian6
deep-learning6
interaction5
paper5
localization5
machine-learning5
classification5
Programming languages (7)
Github contributions (5)
csyanbin/NewMachineConfig
Dec 2016 - Oct 2022
Contributions:64 commits, 67 pushes, 1 branch in 5 years 10 months
csyanbin/SCOT
Jul 2020 - Oct 2021
CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.
Contributions:6 commits, 4 pushes, 1 branch in 1 year 3 months
pytorchsemantic-correspondenceoptimal-transport
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.