laiso
Beijing, China
Summary
👤
SeniorYitao Liang is an assistant professor and machine learning researcher with eight years of industry and academic experience bridging knowledge representation, statistical learning, and reinforcement learning. He completed a PhD at UCLA where he developed a novel semantic loss for semi-supervised deep learning and the first structure-learning algorithm for PSDDs, achieving state-of-the-art results on multiple benchmarks. Before academia he built production systems at Amazon, designing a payment/refund pipeline serving 20k+ orders per day and improving promotional click-through by optimizing category predictions. His work consistently blends theoretical advances with practical systems — from interpretable structured prediction to scalable pipelines — and he has a track record of translating domain knowledge into models that perform well in the wild. Based in Los Angeles, he brings a researcher’s rigor to real-world decision-making under uncertainty, with a knack for making structured constraints practical in modern ML.
9 years of coding experience
Github Skills (30)
transfer-learning7
ctr6
webservice6
time-series-forecasting5
mlr5
machine-learning5
python5
neural-machine-translation5
tensorflow-model5
machine-translation4
deep-learning4
natural-language-processing4
tensorflow4
convolution4
forecasting3
Programming languages (6)
Github contributions (5)
perveil/JavaTest
Aug 2018 - Apr 2020
Contributions:84 commits, 48 pushes, 1 branch in 1 year 9 months
perveil/perveil.github.io
Dec 2018 - Jan 2020
Contributions:57 pushes, 1 branch in 1 year
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