Zonghan Wu
Summary
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RockstarZonghan Wu is a PhD student in Information Technology at the University of Technology Sydney with eight years of experience bridging academic research and applied NLP. He previously worked as an NLP engineer in industry and completed a master’s thesis implementing a neural dependency parser in Java, demonstrating both research depth and hands-on systems skills. Trained in statistics, data mining and financial-engineering–oriented systems science, he combines probabilistic thinking with practical model-building for language tasks. Based in Australia, he has international experience across China, Sweden and India, including hands-on community work teaching children with disabilities, which speaks to his collaborative and service-oriented approach.
8 years of coding experience
Github Skills (22)
geometric-deep-learning10
lists10
chainer10
graph10
deep-learning10
graph-convolutional-networks10
graph-representation-learning10
recurrent9
machine-learning9
pytorch7
graph-neural-network7
self-attention6
segment6
time-series6
arxiv5
Programming languages (3)
Github contributions (5)
TrustAGI-Lab/Awesome-Graph-Neural-Networks
Dec 2018 - Dec 2020
Paper Lists for Graph Neural Networks
Contributions:21 commits, 3 PRs, 16 pushes in 2 years
graph-convolutional-networksgeometric-deep-learningneural-graphneural-networksmachine-learning
nnzhan/MTGNN
Jun 2020 - Mar 2022
Contributions:8 commits, 2 PRs, 9 pushes in 1 year 9 months
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