Weizhe Liu is a researcher specializing in generative AI for image, video, and 3D content, currently based at ByteDance with 11 years of experience across industry and academia. He earned a PhD in Computer Vision from EPFL, where his thesis focused on human-centered scene understanding and crowd counting, and has held research roles at Tencent, Microsoft, and Amazon applying self-supervised and semi-supervised methods to real-world vision problems. Comfortable moving between foundational research and applied systems, he has a track record in mixed reality, semantic segmentation, and lightweight deep learning for mobile. Fluent in both Western and Chinese research ecosystems, he leverages multidisciplinary training in communication systems and electronic engineering to bridge theory and production. Notably, his career blends deep academic rigor with industry-driven GenAI deployment experience, making him adept at turning cutting-edge vision research into scalable products.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (BE), Electronic Information Engineering, Bachelor of Engineering (BE), Electronic Information Engineering at University of Electronic Science and Technology
Master's degree, Communication Systems, Master's degree, Communication Systems at Ecole polytechnique fédérale de Lausanne
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at EPFL (École polytechnique fédérale de Lausanne)
Visiting Scholar, Computer vision, Visiting Scholar, Computer vision at University of California, Los Angeles
Contributions:18 pushes, 1 branch in 4 years 4 months
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