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个人简介
Jiawei Xu (Member, IEEE) received the B.S. degree in electronic engineering in 2016 from Fudan University, Shanghai, China, where she is currently working toward the Ph.D. degree in microelectronics and solid-state electronics.
She has been working in the field of low-power deep learning design since 2016. Her current research interests include embedded learning, low-power architecture for microprocessor, and efficient hardware design for artificial neural network.
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论文共 16 篇作者统计合作学者相似作者
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2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)pp.52-57, (2024)
Jiawei Xu , Yi Zheng,Feng Li,Dimitrios Stathis , Ruisi Shen, Haoming Chu,Anders Lansner,Lirong Zheng ,Zhuo Zou,Ahmed Hemani
IEEE Trans. Circuits Syst. II Express Briefsno. 2 (2024): 627-631
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERSno. 12 (2023): 5380-5393
Jiawei Xu, Yi Zheng,Chenxu Sheng,Yichen Cai,Dimitrios Stathis, Ruisi Shen,Li-Rong Zheng,Zhuo Zou,Laigui Hu,Ahmed Hemani
2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)pp.1-5, (2023)
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