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.
9 years of coding experience
Github Skills (16)
deep-learning10
graph-neural-network10
graph9
recurrent-neural-networks8
graph-convolutional-networks7
scatter7
time-series7
pytorch6
attention-mechanism6
geometric-deep-learning6
self-attention6
segment6
python4
tensorflow4
sdk2
Programming languages (4)
Github contributions (5)
nnzhan/MTGNN
Jun 2020 - Mar 2022
Contributions:8 commits, 2 PRs, 9 pushes in 1 year 9 months
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-neural-networkgraph-networkconvolutional-networksdeep-learninggraph-attention
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