Zeyu Zhu
Zeyu Zhu (朱泽雨) is an incoming postdoctoral researcher in the FACT Lab, working under the supervision of Prof. Yuan Xie. He is currently a Ph.D. student at the Institute of Automation, Chinese Academy of Sciences, advised by Prof. Jian Cheng. His research interests are efficient AI computing, with a focus on large language models, graph neural networks, and hardware/software co-design. His first-author work has appeared in IEEE Transactions on Computers, DAC, ASPLOS, HPCA, ICLR, and ACL.