Xiangmeng Wang

研究助理教授 at 香港理工大学

Sydney, New South Wales, Australia
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Summary

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Senior
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Top School
Xiangmeng Wang is a research-focused assistant professor based in Sydney with eight years of experience bridging causal machine learning, explainable AI, and data analysis. She completed a PhD in Data Analytics at UTS after an MEng from Shanghai University and has published in top-tier ML venues, combining rigorous theory with applied work in recommender systems. Her doctoral research emphasized causal inference methods for recommendation, and prior industry roles included graph learning and large-scale anti-fraud modeling—skills she continues to apply in academic projects. Known for translating complex causal ideas into practical analyses, she brings both teaching experience and hands-on data science to interdisciplinary teams.
code8 years of coding experience
bookMaster of Engineering - MEng, 89.0/100, Master of Engineering - MEng, 89.0/100 at Shanghai University
bookDoctor of Philosophy - PhD, Data Analytics, Doctor of Philosophy - PhD, Data Analytics at University of Technology Sydney
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Stackoverflow

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Github Skills (23)

recommender5
relation-extraction4
deep-learning4
recommender-system4
thesaurus4
python3
tensorflow3
algorithm3
machine-learning3
record-linkage2
graph2
dbpedia2
skos2
entity-resolution2
wikidata2

Programming languages (1)

Python

Github contributions (5)

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Chrystalii/Spider

Dec 2017 - Jun 2020

Contributions:2 pushes, 1 branch in 2 years 6 months
Chrystalii/CERec

Jul 2022 - Jul 2022

Contributions:19 commits, 28 pushes, 1 branch in 1 day
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Xiangmeng Wang - 研究助理教授 at 香港理工大学