Yukun Yang
Doctoral Student at Technische Universität Graz
Graz, Styria, Austria
Summary
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Senior🎓
Top SchoolYukun Yang is a computational neuroscience-focused PhD student at TU Graz with nine years of experience bridging machine learning research and applied algorithm engineering. His work spans spiking neural network training (ICML2021), INT8 fixed-point operator development that accelerated ResNet50 training by 68% at SenseTime, and hands-on sensor optimization for LiDAR at Analog Devices. He combines strong academic foundations from Duke, UCSB and Xian Jiaotong with practical systems know-how, teaching experience, and a track record of translating theoretical ideas into measurable performance gains. Based in Graz, he brings a rare mix of low-level optimization, ML research, and hardware-aware algorithm design useful for both academic labs and industry R&D.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Technische Universität GrazSummer Session, Information & Communication Eng, Signal & Linear Systems 102/100; MATLAB Programming 97.3/100, Summer Session, Information & Communication Eng, Signal & Linear Systems 102/100; MATLAB Programming 97.3/100 at 美国加州大学圣迭戈分校Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at UC Santa BarbaraMS, ECE Signal Processing & Machine Learning, 3.81/4.0, MS, ECE Signal Processing & Machine Learning, 3.81/4.0 at Duke UniversityBachelor, Information & Communication Eng, 90.1/100, Bachelor, Information & Communication Eng, 90.1/100 at Xian Jiaotong University
English, Chinese
Github Skills (4)
ranking10
react9
science9
computer-science9
Programming languages (2)
Github contributions (5)
Contributions:82 commits, 14 pushes in 2 years
Contributions:30 commits, 29 pushes, 1 branch in 5 months
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