Shengwen Liang
Shengwen Liang is an Associate Professor at the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). His research focuses on intelligent storage systems, chip agile design, and AI-driven integrated circuit design automation. He is known for his work on in-storage computing architectures, including Cognitive SSD and in-storage acceleration for large language model inference, as well as hardware design automation using large language models.
“Yucheng Zhao, Shengwen Liang, Xing Hu, Ying Wang, Huawei Li — Institute of Computing Technology, CAS. Senior researchers from the State Key Lab of Processors, bringing systems-level hardware optimization expertise to the inference architecture problem.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.