Zhengyi Wang
Machine Learning Engineer at Tsinghua University
Haidian District, Beijing, China
Summary
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Rockstar🎓
Top SchoolZhengyi Wang is a Machine Learning Engineer and PhD candidate at Tsinghua University with seven years of experience advancing AI research and applied models. He has held research roles at NVIDIA and contributed to open projects like LLaMA-Mesh, and was a core contributor to Qwen Image during a research internship. Zhengyi has moved between industry research scientist positions and high-impact internships, demonstrating fluency in both prototyping and productionizing large-scale vision and language models. Based in Haidian, Beijing, he blends rigorous academic training with practical engineering at startups and global labs. He also holds a minor in Music Engineering, signaling an interdisciplinary curiosity that informs creative approaches to ML problems.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tsinghua University
Github Skills (50)
probability10
multiview10
logic-programming10
neural-symbolic10
probabilistic10
generative-model10
logic10
bayesian-deep-learning9
adversarial-attacks9
graph-algorithms9
security9
data-mining9
ppl9
adversarial-machine-learning9
bayesian9
Programming languages (2)
Github contributions (5)
thuwzy/Neural-Symbolic-and-Probabilistic-Logic-Papers
Feb 2021 - Oct 2022
A curated paper list on neural symbolic and probabilistic logic.
Contributions:1 review, 78 commits, 1 PR in 1 year 8 months
logic-programmingdeep-learningmachine-learningprobabilityneural-symbolic
thuwzy/ZhuSuan-PyTorch
Jul 2021 - Dec 2022
An Elegant Library for Bayesian Deep Learning in PyTorch
Contributions:1 review, 94 commits, 67 pushes in 1 year 4 months
pytorchpythondeep-learningbayesian-inferencemachine-learning
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