Liangke Gui
PhD Candidate
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolLiangke Gui is a PhD candidate and researcher at Google DeepMind specializing in large-scale image and video generation that leverages multimodal “found data” across text, image, and video. He aims to turn massive, unstructured multimedia corpora into practical systems that advance vision-and-language understanding and real-world applications. Trained at Carnegie Mellon University with a PhD in Artificial Intelligence and a prior MS in Computational Data Science, he combines rigorous academic foundations with applied research at the intersection of perception and generative modeling. With 11 years of industry and research experience and an undergraduate background in electronic information engineering, he brings both systems thinking and signal-processing intuition to visual AI problems. Notably, his work emphasizes learning from naturally occurring data rather than curated datasets, enabling models that better generalize to in-the-wild scenarios. Based in Pittsburgh, he balances deep technical depth with a focus on deployable, multimodal AI.
10 years of coding experience
Bachelor’s Degree, Electronic Information Engineering, 3.84, Bachelor’s Degree, Electronic Information Engineering, 3.84 at Shandong UniversityDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Carnegie Mellon University
English, Chinese
Github Skills (14)
pytorch10
python10
data-science9
tensorflow9
machine-learning9
deep-learning9
jax8
neural-network7
ctc3
temporal2
unsupervised-learning2
warp2
semi-supervised-learning1
meta-learning1
Programming languages (2)
Github contributions (5)
guilk/SOT_track
Jul 2017 - Jul 2017
Contributions:16 commits, 15 pushes, 1 branch in 1 day
guilk/EmotionRecognition
Aug 2016 - Aug 2016
Contributions:75 pushes, 1 branch in 12 days
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