Yitao Liang
Assistant Professor at Peking University
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolYitao 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.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at Franklin & Marshall CollegeNanjing Foreign Language SchoolDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Los Angeles
Github Skills (40)
ctr8
transfer-learning5
image-classification4
machine-learning4
click-through-rate4
mlr4
time-series-forecasting4
deep-learning4
natural-language-processing4
python4
interaction4
sequence4
information-theory3
forecasting3
least-squares3
Programming languages (5)
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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