Summary
Yu Yang is a tenured Associate Professor in Data Science at City University of Hong Kong with a decade of experience at the intersection of algorithms, combinatorial data structures, and data-driven operations management. He focuses on creating efficient, theory-driven algorithmic tools for graphs, sets, and sequences, and applies learning theory to speed up data processing rather than chasing trendy deep nets or large-model hype. Trained with a PhD from Simon Fraser University and prior industry experience at Alibaba, he blends rigorous theoretical work with practical insight into scalable systems. Based in Hong Kong, he is known for a principled stance against AGI claims and for prioritizing provable, efficient solutions over flashy applications.
10 years of coding experience
Master of Engineering (MEng), Computer Science, Master of Engineering (MEng), Computer Science at University of Science and Technology of China
Bachelor of Engineering (BEng), Computer Science, Bachelor of Engineering (BEng), Computer Science at Hefei University of Technology
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Simon Fraser University