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Zekun Niu

Showing results (1-10 of 8) with videos related to

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Optics Express|July 2, 2026
Efficient waveform modeling of 10,000-km ultra-long submarine optical fiber channels based on cascaded training neural network architectureYunfan Zhang, Minghui Shi, Zekun Niu, et al.
Optics Letters|August 2, 2024
Enhanced mutual information neural estimators for optical fiber communicationZekun Niu, Chenhao Dai, Hang Yang, et al.
Light, Science & Applications|August 12, 2024
Learnable digital signal processing: a new benchmark of linearity compensation for optical fiber communicationsZekun Niu, Hang Yang, Lyu Li, et al.
Optics Express|December 16, 2022
Low-complexity full-field ultrafast nonlinear dynamics prediction by a convolutional feature separation modeling methodHang Yang, Haochen Zhao, Zekun Niu, et al.
Optics Letters|March 14, 2025
Low complexity exponential pruning learned digital back-propagation method for fiber nonlinearity mitigationLyu Li, Zekun Niu, Hang Yang, et al.
Optics Express|November 11, 2025
Enhancing generalization in neural network-based waveform-level channel modeling for optical fiber transmission through parameter encoding structuresMinghui Shi, Hang Yang, Chuyan Zeng, et al.
Optics Letters|April 1, 2025
Fast and accurate waveform modeling based on sequence-to-sequence framework for multi-channel and high-rate optical fiber transmissionMinghui Shi, Zekun Niu, Hang Yang, et al.
National Science Review|June 13, 2025
Experimental demonstration of integrated encryption and communication over optical fiberZekun Niu, Yunhao Xie, Guozhi Xu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Optics Express|July 2, 2026
Efficient waveform modeling of 10,000-km ultra-long submarine optical fiber channels based on cascaded training neural network architectureYunfan Zhang, Minghui Shi, Zekun Niu, et al.
Optics Letters|August 2, 2024
Enhanced mutual information neural estimators for optical fiber communicationZekun Niu, Chenhao Dai, Hang Yang, et al.
Light, Science & Applications|August 12, 2024
Learnable digital signal processing: a new benchmark of linearity compensation for optical fiber communicationsZekun Niu, Hang Yang, Lyu Li, et al.
Optics Express|December 16, 2022
Low-complexity full-field ultrafast nonlinear dynamics prediction by a convolutional feature separation modeling methodHang Yang, Haochen Zhao, Zekun Niu, et al.
Optics Letters|March 14, 2025
Low complexity exponential pruning learned digital back-propagation method for fiber nonlinearity mitigationLyu Li, Zekun Niu, Hang Yang, et al.
Optics Express|November 11, 2025
Enhancing generalization in neural network-based waveform-level channel modeling for optical fiber transmission through parameter encoding structuresMinghui Shi, Hang Yang, Chuyan Zeng, et al.
Optics Letters|April 1, 2025
Fast and accurate waveform modeling based on sequence-to-sequence framework for multi-channel and high-rate optical fiber transmissionMinghui Shi, Zekun Niu, Hang Yang, et al.
National Science Review|June 13, 2025
Experimental demonstration of integrated encryption and communication over optical fiberZekun Niu, Yunhao Xie, Guozhi Xu, et al.
Pageof 1