Xi Chen is a researcher and Tsinghua master's student with 11 years of industry experience focused on deep learning and neural architecture design. Currently at Megvii, he applies research-grade methods to practical computer vision challenges after internships at Microsoft Research (quantization strategies for FPGA-friendly DNNs) and SenseTime (ticket OCR with Faster-RCNN). His background blends electrical engineering fundamentals from BUPT with advanced machine learning research, enabling a systems-aware approach to model design and deployment. Outside work he publishes thoughtful technical writing on his personal blog, reflecting a habit of distilling complex ideas for broader audiences. An understated strength is his practical emphasis on hardware-aware algorithms, informed by hands-on experience across academia and industry.
11 years of coding experience
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Beijing University of Posts and Telecommunications
Master's degree, Computer Science, Master's degree, Computer Science at Tsinghua University
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