Junliang Yu
Lecturer (Assistant Professor) at The University of Queensland
Brisbane City, Queensland, Australia
Summary
🤩
Rockstar🎓
Top SchoolJunliang Yu is a Lecturer (Assistant Professor) and ARC DECRA Fellow at Griffith University with 11 years of experience bridging data science research and engineering. He earned his PhD in Data Science from The University of Queensland and progressed from postdoctoral roles to an ARC fellowship, focusing on recommender systems and practical machine learning frameworks. Junliang contributes to open-source projects such as QRec, where he implemented foundational back-end components for TensorFlow-based recommender algorithms, reflecting hands-on engineering alongside academic rigor. Based in Brisbane, he combines a strong academic record from Chongqing University with applied software development experience, and his Github motto—“A light heart lives long”—hints at a collaborative, curiosity-driven approach to research and code.
11 years of coding experience
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at The University of QueenslandMaster's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Chongqing University
Github Skills (7)
algorithm10
deep-learning10
tensorflow10
python10
recommender-system10
web-framework9
data-engineering8
Programming languages (6)
Github contributions (5)
Coder-Yu/QRec
Sep 2016 - Jan 2023
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:792 commits, 218 PRs, 568 pushes in 6 years 4 months
Contributions summary:Junliang appears to be a back-end developer actively contributing to the QRec framework, a TensorFlow-based recommender system. Their initial commits focused on foundational code, including the creation of base classes for recommenders and metrics. They added new files to implement key functionality and completed configuration modules, and they also implemented a data access object. Overall, their work involved laying down the groundwork for the recommendation algorithms.
pythonrecommender-systemtensorflowsocial-recommendationdeep-learning
Coder-Yu/Coder-Yu
May 2021 - Oct 2022
Contributions:91 commits, 92 pushes, 1 branch in 1 year 5 months
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