Summary
Hanyang Xu is a PhD candidate and graduate research assistant specializing in hardware-software co-design for deep learning acceleration, with nine years of experience across academia and industry. He contributed significantly to GeneSys, an end-to-end acceleration framework for emerging DNNs with publications at ASPLOS and HPCA, and has hands-on experience bringing systolic-array and SIMD-like accelerators up on FPGA plus building cycle-accurate simulators. His internships at NVIDIA focused on power architecture and RTL/debug work, complementing prior UCSD projects that yielded publications in CV and DAC/DATE venues. Comfortable at the intersection of computer architecture, SoC development, and AR/VR robotics acceleration, he seeks research or industry internships and plans to graduate in 2026. Less obvious: as a US green card holder he does not require export control licensing, which simplifies industry hiring for sensitive-platform work.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at University of Washington
University of California, San Diego
Guangdong Experimental High School
English, Chinese, Chinese