Ceyu Xu

Entropy Xu (徐策羽) obtained his Ph.D. in the Computer Science Department at Duke University. His research focuses on the intersection of computer architecture and machine learning, with two main directions: designing efficient computer architectures for machine learning algorithms and developing machine learning algorithms for efficient computer architectures. His interests include Machine Learning Hardware Accelerator, Large Language Models, Compression and Quantization, and AI for EDA.