Wei Wang
Research Assistant at University of Melbourne
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolWei Wang is a research-focused machine learning engineer based in Melbourne with eight years' experience exploring generative models, Bayesian inference, and convolutional neural networks. As a PhD candidate and Research Assistant at the University of Melbourne since 2014, he bridges theoretical work and applied experimentation across transformers for NLP, physics-informed and implicit neural networks, and reinforcement learning. His portfolio emphasizes probabilistic modeling and generative architectures, with practical interests in bringing domain knowledge into neural solvers. Colleagues describe him as someone who blends rigorous Bayesian thinking with hands-on deep learning implementation, often investigating underexplored intersections like physics constraints in generative models.
8 years of coding experience
The University of Melbourne
English, Chinese
Github Skills (54)
pytorch10
loss-functions10
python10
dcgan10
machine-learning10
discriminator10
generative-adversarial-network10
ml10
audio10
learning-rate10
deep-learning10
tensorflow10
deep-neural-networks10
natural-language-processing10
neural-network10
Programming languages (3)
Github contributions (5)
richardwth/MMD-GAN
Jun 2018 - May 2019
Improving MMD-GAN training with repulsive loss function
Contributions:236 commits, 208 pushes, 1 branch in 11 months
pytorchloss-functionslearning-ratedeep-learninggenerative-adversarial-network
richardwth/ai_for_mechatronics
Mar 2019 - May 2019
Contributions:21 commits, 19 pushes, 1 branch in 2 months
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