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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
5596
World Ranking
5141
National Ranking
755

Overview

Lilin Yi is affiliated with Shanghai Jiao Tong University in China and has made significant contributions to the field of engineering, particularly within electrical and electronic engineering. Their research spans multiple subfields including atomic and molecular physics, optics, artificial intelligence, statistical and nonlinear physics, and molecular biology, reflecting a broad interdisciplinary approach.

The scientist's work is largely centered on advanced optical and photonic technologies. Key topics in their research include:

  • Optical Network Technologies
  • Advanced Photonic Communication Systems
  • Advanced Fiber Laser Technologies
  • Photonic and Optical Devices
  • Advanced Optical Network Technologies
  • Neural Networks and Reservoir Computing
  • Photonic Crystal and Fiber Optics

Frequent publication venues for Lilin Yi include:

  • Journal of Lightwave Technology
  • Optics Express
  • Optics Letters
  • arXiv (Cornell University)
  • Journal of Optical Communications and Networking

Lilin Yi's notable recent papers are as follows:

  • "Intelligent control of mode-locked femtosecond pulses by time-stretch-assisted real-time spectral analysis," 2020, Light Science & Applications
  • "Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network," 2020, Journal of Lightwave Technology
  • "Chaotic Optical Communication Over 1000 km Transmission by Coherent Detection," 2020, Journal of Lightwave Technology
  • "Comparative study of cost-effective coherent and direct detection schemes for 100 Gb/s/λ PON," 2020, Journal of Optical Communications and Networking
  • "Deep photonic reservoir computing recurrent network," 2023, Optica

Collaboration is a component of their research profile, with frequent co-authors including:

  • Weisheng Hu
  • Qunbi Zhuge
  • Mengfan Fu
  • Xiaomin Liu
  • Yihao Zhang

Lilin Yi's contributions predominantly address challenges in optical communication, photonic devices, and computing, employing methods from neural networks and photonic reservoir computing. This indicates an integration of traditional optical engineering with emerging artificial intelligence techniques.

Best Publications

  • Optical millimeter-wave generation or up-conversion using external modulators

    Jianjun Yu;Zhensheng Jia;L. Yi;Y. Su

  • Chaotic optical communications over 100-km fiber transmission at 30-Gb/s bit rate.

    Junxiang Ke;Lilin Yi;Guangqiong Xia;Weisheng Hu

  • Intelligent programmable mode-locked fiber laser with a human-like algorithm

    Guoqing Pu;Lilin Yi;Li Zhang;Weisheng Hu

  • Machine Learning for 100 Gb/s/ λ Passive Optical Network

    Lilin Yi;Tao Liao;Luyao Huang;Lei Xue

  • 32 Gb/s chaotic optical communications by deep-learning-based chaos synchronization.

    Junxiang Ke;Lilin Yi;Zhao Yang;Yunpeng Yang

  • Bandwidth-tunable narrowband rectangular optical filter based on stimulated Brillouin scattering in optical fiber.

    Wei Wei;Lilin Yi;Yves Jaouën;Weisheng Hu

  • Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network

    Hang Yang;Zekun Niu;Shilin Xiao;Jiafei Fang

  • Reservoir computing system with double optoelectronic feedback loops.

    Yaping Chen;Lilin Yi;Junxiang Ke;Zhao Yang

  • Chaotic Optical Communication Over 1000 km Transmission by Coherent Detection

    Zhao Yang;Lilin Yi;Junxiang Ke;Qunbi Zhuge

  • Symmetric 40-Gb/s TWDM-PON With 39-dB Power Budget

    Lilin Yi;Zhengxuan Li;Meihua Bi;Wei Wei

  • Application of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks

    Qunbi Zhuge;Xiaobo Zeng;Huazhi Lun;Meng Cai

  • Transmission of 2 × 56 Gb/s PAM-4 signal over 100 km SSMF using 18 GHz DMLs

    Shiwei Zhou;Xiang Li;Lilin Yi;Qi Yang

  • Coherent chaotic optical communication of 30 Gb/s over 340-km fiber transmission via deep learning.

    Unknown

  • Delay of Broadband Signals Using Slow Light in Stimulated Brillouin Scattering With Phase-Modulated Pump

    L. Yi;Li Zhan;Weisheng Hu;Yuxing Xia

  • Comparative study of cost-effective coherent and direct detection schemes for 100 Gb/s/λ PON

    Yixiao Zhu;Lilin Yi;Bo Yang;Xingang Huang

  • Building a digital twin for intelligent optical networks

    Unknown

  • Deep photonic reservoir computing recurrent network

    Unknown

  • Watt-level ultrahigh-optical signal-to-noise ratio single-longitudinal-mode tunable Brillouin fiber laser.

    Gaomeng Wang;Li Zhan;Jinmei Liu;Tao Zhang

  • Watt-level ultrahigh-OSNR single-longitudinal-mode tunable Brillouin fiber laser

    Gaomeng Wang;Li Zhan;Jinmei Liu;Tao Zhang

  • All-Optical Format Conversion From NRZ to BPSK Using a Single Saturated SOA

    Cishuo Yan;Yikai Su;Lilin Yi;Lufeng Leng

  • 28 Gb/s duobinary signal transmission over 40 km based on 10 GHz DML and PIN for 100 Gb/s PON.

    Zhengxuan Li;Lilin Yi;Xiaodong Wang;Weisheng Hu

  • AI-Based Modeling and Monitoring Techniques for Future Intelligent Elastic Optical Networks

    Xiaomin Liu;Huazhi Lun;Mengfan Fu;Yunyun Fan

  • Polarization-Independent Rectangular Microwave Photonic Filter Based on Stimulated Brillouin Scattering

    Lilin Yi;Wei Wei;Yves Jaouen;Mengyue Shi

  • 56 Gbps IM/DD PON based on 10G-Class Optical Devices with 29 dB Loss Budget Enabled by Machine Learning

    Peixuan Li;Lilin Yi;Lei Xue;Weisheng Hu

Frequent Co-Authors

Weisheng Hu
Weisheng Hu Shanghai Jiao Tong University
Qunbi Zhuge
Qunbi Zhuge Shanghai Jiao Tong University
Yikai Su
Yikai Su Shanghai Jiao Tong University
Qi Yang
Qi Yang Huazhong University of Science and Technology
David V. Plant
David V. Plant McGill University
Zhaohui Li
Zhaohui Li Sun Yat-sen University
Songnian Fu
Songnian Fu Huazhong University of Science and Technology
Jianjun Yu
Jianjun Yu Fudan University
Gee-Kung Chang
Gee-Kung Chang Georgia Institute of Technology
Ting Wang
Ting Wang Washington University in St. Louis

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