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Zilong Tao

Showing results (1-10 of 11) with videos related to

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Applied Optics|July 15, 2021
Graphic-processable deep neural network for the efficient prediction of 2D diffractive chiral metamaterialsJun Zhang, Yukun Luo, Zilong Tao, et al.
Optics Express|July 16, 2021
Achieving efficient inverse design of low-dimensional heterostructures based on a vigorous scalable multi-task learning networkShiyin Du, Jie You, Yuhua Tang, et al.
Optics Letters|February 15, 2024
Parallel edge extraction operators on chip speed up photonic convolutional neural networksHao Ouyang, Zeyu Zhao, Zilong Tao, et al.
Optics Letters|March 13, 2020
Optical circular dichroism engineering in chiral metamaterials utilizing a deep learning networkZilong Tao, Jie You, Jun Zhang, et al.
Optics Letters|January 16, 2025
Silicon photonic convolution operator exploiting on-chip nonlinear activation functionZilong Tao, Jie You, Hao Ouyang, et al.
Optics Letters|July 1, 2024
On-chip silicon photonic micro-ring processor lights up optical image encryptionZeyu Zhao, Hao Ouyang, Jie You, et al.
Nanophotonics (Berlin, Germany)|December 5, 2024
Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterialsZeyu Zhao, Jie You, Jun Zhang, et al.
Optics Express|July 19, 2020
BER evaluation in a multi-channel graphene-silicon photonic crystal hybrid interconnect: a study of fast- and slow-light effectsJie You, Zilong Tao, Yukun Luo, et al.
Optics Letters|February 28, 2025
Co-design for Kolmogorov-Arnold networks to unlock the full potential of optical intelligent acceleratorsShiyin Du, Hao Ouyang, Zilong Tao, et al.
Light, Science & Applications|April 14, 2025
Multi-wavelength optical information processing with deep reinforcement learningQiuquan Yan, Hao Ouyang, Zilong Tao, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Applied Optics|July 15, 2021
Graphic-processable deep neural network for the efficient prediction of 2D diffractive chiral metamaterialsJun Zhang, Yukun Luo, Zilong Tao, et al.
Optics Express|July 16, 2021
Achieving efficient inverse design of low-dimensional heterostructures based on a vigorous scalable multi-task learning networkShiyin Du, Jie You, Yuhua Tang, et al.
Optics Letters|February 15, 2024
Parallel edge extraction operators on chip speed up photonic convolutional neural networksHao Ouyang, Zeyu Zhao, Zilong Tao, et al.
Optics Letters|March 13, 2020
Optical circular dichroism engineering in chiral metamaterials utilizing a deep learning networkZilong Tao, Jie You, Jun Zhang, et al.
Optics Letters|January 16, 2025
Silicon photonic convolution operator exploiting on-chip nonlinear activation functionZilong Tao, Jie You, Hao Ouyang, et al.
Optics Letters|July 1, 2024
On-chip silicon photonic micro-ring processor lights up optical image encryptionZeyu Zhao, Hao Ouyang, Jie You, et al.
Nanophotonics (Berlin, Germany)|December 5, 2024
Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterialsZeyu Zhao, Jie You, Jun Zhang, et al.
Optics Express|July 19, 2020
BER evaluation in a multi-channel graphene-silicon photonic crystal hybrid interconnect: a study of fast- and slow-light effectsJie You, Zilong Tao, Yukun Luo, et al.
Optics Letters|February 28, 2025
Co-design for Kolmogorov-Arnold networks to unlock the full potential of optical intelligent acceleratorsShiyin Du, Hao Ouyang, Zilong Tao, et al.
Light, Science & Applications|April 14, 2025
Multi-wavelength optical information processing with deep reinforcement learningQiuquan Yan, Hao Ouyang, Zilong Tao, et al.
Pageof 2