Liang Zhao

Institution of Computational Linguistics at Peking University, China
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Summary

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Rockstar
Liang Zhao is a Principal Engineer based in Sunnyvale with a Ph.D. in video coding and more than a decade of deep expertise in video compression standards and encoder optimization. He has authored 20+ papers across HEVC, VVC, AV2 and practical encoding topics, and has driven standardization work and technical leadership at Tencent Americas. Liang’s career blends research and product-focused engineering—from academic contributions at Harbin Institute of Technology and University of Missouri to applied encoding projects at Hulu and MediaTek where several proposals influenced HEVC. He specializes in video coding algorithms, image processing, C/C++ and Python, and is known for practical speedups and quality-aware pipeline design. Notably, his work spans both algorithmic innovation and real-world deployment concerns like parallel encoding, HDR pipelines, and native frame-rate restoration. Colleagues rely on him to translate cutting-edge research into standards-ready and production-grade solutions.
code7 years of coding experience
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Github Skills (47)

training-data10
sequence-to-sequence8
python8
llm8
artificial-intelligence8
pytorch8
representation-learning7
alpaca7
ai7
torchvision7
jekyll-theme7
quantization6
lora6
contrastive-learning6
unsupervised-learning6

Programming languages (5)

TypeScriptLuaHTMLJupyter NotebookPython

Github contributions (5)

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lancopku/CGM

Jul 2021 - Dec 2021

Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling"
Contributions:10 commits, 9 pushes, 1 branch in 5 months
graphtrading
lancopku/LexicalAT

Oct 2019 - Oct 2019

Codes for paper "LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification"
Contributions:5 commits, 5 pushes in 1 day
sentiment-classification
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