Bei Yu is a professor at The Chinese University of Hong Kong with 12 years of experience bridging combinatorial algorithms and machine learning for VLSI CAD and computer vision applications. Trained at UT Austin (PhD) and Tsinghua (MS), Bei progressed from postdoc work on Design-for-Manufacturing cyber-physical systems and hardware security to a faculty trajectory culminating in a professorship. Her work blends theoretical algorithm design with practical CAD tool development—experience that includes industry internships at Oracle and Mentor Graphics and early tooling contributions like code-coverage work at Jeda. Based in Hong Kong, she is known for translating complex, hardware-aware ML ideas into tangible improvements for VLSI design flows.
12 years of coding experience
11 years of employment as a software developer
PhD, ECE, PhD, ECE at The University of Texas at Austin
M.S., Computer Science, M.S., Computer Science at Tsinghua University
B.S., Info and Computing Science, B.S., Info and Computing Science at University of Electronic Science and Technology of China
Contributions:391 commits, 3 PRs, 410 pushes in 8 years 3 months
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