Hang yang

Research Direction：Fast and Accurate Modeling Technology of Fiber Channel Based on Artificial Intelligence
PhD candidate (2018 - present)

Office address: Room 5-501, Telecommunication Group Building, Jiaotong University, No. 800 Dongchuan Road, Shanghai
Zip code: 200240
E-mail: hangyang@sjtu.edu.cn

In 2018, he received a bachelor's degree in engineering from Hunan University. In September of the same year, he joined the Future Optical Network Research Group of the State Key Laboratory of Regional Optical Fiber Communication Networks and New Optical Communication Systems of Shanghai Jiao Tong University to conduct research on fast and accurate modeling of optical fiber channels based on artificial intelligence. Published many papers in important journals such as Journal of Lightwave Technology, Optics Express, etc., and won honors such as the Optical Fiber Guozhong Graduate Student Scholarship and the Best Paper Award of the All-Optical Photonics Technology Forum.

periodicals

[1]Hang Yang, Zekun Niu, Shilin Xiao, Jiafei Fang, Zhiyang Liu, David Fainsin, Lilin Yi. Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network[J], Journal of Lightwave Technology, 2021, 39(5) :1322-1333, doi: 10.1109/JLT.2020.3037905.

[2]Hang Yang, Zekun Niu, Haochen Zhao, Shilin Xiao, Weisheng Hu and Lilin Yi. Fast and Accurate Waveform Modeling of Long-Haul Multi-Channel Optical Fiber Transmission Using a Hybrid Model-Data Driven Scheme[J]. Journal of Lightwave Technology, 2022, 40(14):4571-4580.

[3]Hang Yang, Haochen Zhao, Zekun Niu, Guoqing Pu, Shilin Xiao, Weisheng Hu, and Lilin Yi,. Low-complexity full-field ultrafast nonlinear dynamics prediction by a convolutional feature separation modeling method[J]. Optics Express, 2022, 30:43691-43705.

[4] Zekun Niu, Hang Yang, Haochen. Zhao, Chenhao. Dai, Weisheng Hu and Lilin Yi, End-to-End Deep Learning for Long-haul Fiber Transmission Using Differentiable Surrogate Channel[J]. Journal of Lightwave Technology, 2022 , 40(9), 2807-2822.

[5] Niuyong Zhang, Hang Yang, Zekun Niu, Lizhuo Zheng, Cao Chen, Shilin Xiao and Lilin Yi, Transformer-Based Long Distance Fiber Channel Modeling for Optical OFDM Systems[J]. Journal of Lightwave Technology, 2022, 40(24 ): 7779-7789.

patent:

[1] Lilin Yi, Hang Yang, Zekun Niu, "End-to-end modeling method and system for optical fiber communication experimental system based on data drive", patent number: CN202211281083.7

[2] Lilin Yi, Haochen Zhao, Hang Yang, "Modeling method and system for ultrafast pulse optical fiber transmission based on convolution feature extraction", patent number: CN202210277959.4

[3] Lilin Yi, Hang Yang, Zekun Niu, "Fast and Accurate Modeling Method and System for Distributed Fiber Channel Based on Feature Decoupling", Patent No.: CN202111478750.6

[4] Lilin Yi, Zekun Niu, Hang Yang, "End-to-end optimization method and system based on differentiable auxiliary channels", patent number: CN202111405475.5

[5] Lilin Yi, Zekun Niu, Chenhao Dai, Hang Yang, "Mutual information calculation method and system of optical fiber communication transmission system based on deep learning", patent number: CN202210540923.0

• 2023-2024

  Huawei cooperation project, fiber channel modeling technology based on artificial intelligence
• 2022-2023

  Huawei cooperation project, artificial intelligence-based fiber channel modeling and nonlinear compensation technology