Zhongzhi Yu received his Ph.D. in Computer Science from Georgia Tech in 2025, advised by Dr. Yingyan (Celine) Lin. He holds an M.S. from Columbia University and a B.Eng. from Zhejiang University. His research focuses on two primary areas: (1) developing adaptation techniques to enable hardware-aware AI design and deployment, with recent work in RTL coding and broader interests in hardware design automation; and (2) creating efficient methods to bring advanced AI capabilities to everyday devices, with experience in large language models, vision-language models, and vision transformers. He has authored over 20 publications in top-tier conferences spanning AI and design automation, including ICML, NeurIPS, ICLR, CVPR, DAC, and ICCAD.
