Summary
Yao Fu is a PhD candidate in Computer and Data Sciences at Case Western Reserve University with nine years of research experience spanning large language model compression, truthfulness probing, and federated learning privacy. He combines deep theory and systems work—implementing AWQ/Wanda quantization, FasterVLM token pruning, and optimized on-device LLaMA deployments—to make state-of-the-art models both smaller and faster. His interdisciplinary background (MS degrees from USC and NC State) includes applied projects in diffusion MRI, smart-meter imputation, and adversary-aware pruning, reflecting a knack for transferring ML advances across domains. At Futurewei he developed metrics and alignment techniques (Trust-Score, Sufficient Context) to reduce RAG hallucinations, demonstrating attention to model honesty as well as performance. Colleagues describe him as a hands-on researcher who bridges rigorous evaluation (NeurIPS/ICLR/ICML/ACL venues) with pragmatic system optimizations that enable real-world inference.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.67, Doctor of Philosophy - PhD, Computer Science, 3.67 at Case Western Reserve University
Master of Science - MS, Electrical and Computer Engineering (Machine Learning and Data Science), 4.0, Master of Science - MS, Electrical and Computer Engineering (Machine Learning and Data Science), 4.0 at University of Southern California
Bachelor of Engineering - BE, Automation Engineer Technology/Technician, 3.39 (43/175), Bachelor of Engineering - BE, Automation Engineer Technology/Technician, 3.39 (43/175) at Nanjing University of Science and Technology
High School Diploma, High School Certificate of Competence Program, High School Diploma, High School Certificate of Competence Program at Chengdu NO.7 High School 成都市第七中学
Master of Science - MS, Electrical and Computer Engineering, 4.0, Master of Science - MS, Electrical and Computer Engineering, 4.0 at North Carolina State University
Chinese, English, Japanese