徐绍夫,上海交通大学助理教授,博士生导师,分别于2017、2022年在上海交通大学电子工程系取得学士与博士学位,2022年加入上海交通大学。在Light: Science & Applications等光电子学重要期刊上发表学术论文20余篇,授权中国发明专利11项,美国发明专利3项。获2022年自然科学基金委青年科学基金支持,以骨干身份参与参与重点研发计划、科技委专题项目、装发预研课题等项目。
[1]
邹卫文,徐绍夫,陈建平,可实现智能信号处理的高速高精度光模数转换装置和方法,CN108375861B
[2]
邹卫文,于磊,徐绍夫,马伯文,陈建平,智能决策的光子处理系统和处理方法,CN108599849B
[3]
邹卫文,徐绍夫,王静,陈建平,平铺型光子神经网络卷积层芯片,CN109254350B
[4]
邹卫文,徐绍夫,王静,陈建平,硅基铌酸锂薄膜电光调制器阵列集成的方法,CN110161625B
[5]
邹卫文,王静,徐绍夫,王兴军,基于铌酸锂-硅晶圆的高速低电压电光调制器,CN111175999B
[6]
邹卫文,邹秀婷,徐绍夫,钱娜,基于卷积循环自动编码器的并行光模数转换系统和方法,CN111650803B
[7]
邹卫文,王静,徐绍夫,一种基于多材料体系的光电单片集成系统,CN111474745B
[8]
邹卫文,徐绍夫,王静,王兴军,基于铌酸锂-硅晶圆的单片集成光模数转换系统及制备方法,CN111176053B
[9]
邹卫文,王静,徐绍夫,刘建国,基于铌酸锂-硅晶圆的光电单片集成系统,CN111273464B
[10] 邹卫文,邹秀婷,徐绍夫,陈建平,基于神经网络的宽带微波瞬时频率测量优化方法和装置,CN110133382B
[11] 邹卫文,徐绍夫,陈建平,基于微环谐振器的光子神经网络卷积层芯片,CN109639359B
[12] 邹卫文,徐绍夫,陈建平,Deep learning based method and device for noise suppression and
distortion correction of analog-to-digital converters,US10812095B2
[13] 邹卫文,徐绍夫,陈建平,High-speed and high-precision photonic analog-to-digital conversion
device and method for realizing intelligent signal processing using the same,US10651867B2
[14] 邹卫文,徐绍夫,王静,陈建平,Silicon-based lithium niobate film electro-optic modulator array and
integration method thereof, US11204535B2
[1]
Xinrui Zhao, Shaofu Xu, Sicheng
Yi, Shiyu Hua, Xing Li, and Weiwen Zou, Photonic parallel channel estimation of
MIMO-OFDM wireless communication systems, Optics Express 31, 1394-1408
(2023).
[2]
Shaofu Xu, Jing Wang, Sicheng Yi,
and Weiwen Zou, High-order tensor flow processing using integrated photonic
circuits, Nature Communications 13, 7970 (2022).
[3]
Sicheng Yi, Shaofu Xu, Jing Wang, and
Weiwen Zou, Enhancement of calculation accuracy of the integrated photonic
tensor flow processer by global optical power allocation, Optics Letters 47, 6409-6412 (2022).
[4]
Shaofu Xu, Jing Wang, Sicheng Yi,
Xinrui Zhao, Binshui Liu, Jiayi Shao, and Weiwen Zou, Parallel optical coherent
dot-product architecture for large-scale matrix multiplication with
compatibility for diverse phase shifters, Optics Express 30, 42057-42068
(2022).
[5]
Yunkun Liu, Anyi Deng, Shiyu Hua,
Shaofu Xu, and Weiwen Zou, Photonic ADC-based scheme for joint wireless
communication and radar by adopting a broadband OFDM shared signal, Optics
Letters 47, 5421-5424 (2022).
[6]
Shaofu Xu, Jing Wang, Haowen Shu,
Zhike Zhang, Sicheng Yi, Bowen Bai, Xingjun Wang, Jianguo Liu, and Weiwen Zou,
Optical coherent dot-product chip for sophisticated deep learning
regression, Light: Science & Applications 10, 221 (2021).
[7]
Shaofu Xu, Jing Wang, and Weiwen
Zou, Optical convolutional neural network with WDM-based optical patching and
microring weighting banks, IEEE Photonics Technology Letters 33, 89-92 (2021).
[8]
Shaofu Xu, Jing Wang, and Weiwen
Zou, Optical patching scheme for optical convolutional neural networks based on
wavelength-division multiplexing and optical delay lines, Optics Letters 45, 3689-3692 (2020).
[9]
Shaofu Xu, Xiuting Zou, Bowen Ma,
Jianping Chen, Lei Yu, and Weiwen Zou, Deep-learning-powered photonic analog-
to-digital conversion, Light: Science & Applications 8, 66 (2019).
[10]
Shaofu Xu, Jing Wang, Rui Wang,
Jianping Chen, and Weiwen Zou, High-accuracy optical convolution unit
architecture for convolutional neural networks by cascaded acousto-optical
modulator arrays, Optics Express 27, 19778-19787 (2019).