Yuchen Song / 宋裕琛
I'm currently pursuing the Ph.D. degree with the School of Electronic Engineering, BUPT. Supervised by Prof. Danshi Wang 王丹石 （强烈欢迎报考咨询）.My primary research interests include
- Optical performance modeling and optimization in wideband optical networks
- Digital twin of optical networks (DTON)
- Physics-informed machine learning
- Large models for optical networks
本博客中还有【科研感受】栏目，分享了读博期间对如何进行不同科研项目工作的个人经验总结，欢迎指正；【论文列表】栏目总结了不同领域方向上不同技术点阅读过的感觉有用的好文章，为了方便阅读查找，各个方向和技术点在【论文列表】整体框架里有罗列。锐意更新中~欢迎阅读、评论、交流！
Education
- Sept. 2020 — June 2025: Ph.D. in Electronic Science and Technology, School of Electronic Engineering, Beijing University of Posts and Telecommunications (expected)
- Sept. 2016 — June 2020: B. Sc. in Electromagnetic fields and wireless technology, School of Electronic Engineering, Beijing University of Posts and Telecommunications （原光电信息学院）
- Sept. 2012 — June 2016: Zibo No.4 High School of Shandong Province
Publications
Google_scholar- Yuchen Song, Min Zhang, Yao Zhang, Yan Shi, Shikui Shen, Xiongyan Tang, Shanguo Huang, and Danshi Wang, "Lifecycle Management of Optical Networks with Dynamic-Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach". IEEE Journal on Selected Areas in Communications Early Access (2025).
- Yuchen Song, Min Zhang, Xiaotian Jiang, Fan Zhang, Cheng Ju, Shanguo Huang, Alan Pak Tao Lu, and Danshi Wang, "SRS-Net: A Universal Solution for Stimulated Raman Scattering in Nonlinear Fibre-Optic Systems Using Physics-Informed Neural Networks". Communications Engineering 3, 109 (2024).
- Yuchen Song, Yao Zhang, Anni Zhou, Yan Shi, Shikui Shen, Xiongyan Tang, Jin Li, Min Zhang, and Danshi Wang. "Synergistic Interplay of Large Language Model and Digital Twin for Autonomous Optical Networks: Field Demonstrations." IEEE Communications Magazine, Early Access (2025).
- Yuchen Song, and Min Zhang, and Yao Zhang, and Yan Shi, and SHikui Shen, and Bingli Guo, and Shanguo Huang, and Danshi Wang , "Implementing Digital Twin in Field-Deployed Optical Networks: Uncertain Factors, Operational Guidance, and Field-Trial Demonstration", IEEE Network Magazine 38, 38-45 (2024).
- Yuchen Song, Danshi Wang, Jun Qin, Jin Li, Han Ye, Zhiguo Zhang, Xue Chen, Min Zhang, and Anthony C Boucouvalas, "Physical Information-Embedded Deep Learning for Forward Prediction and Inverse Design of Nanophotonic Devices," Journal of Lightwave Technology 39, 6498-6508 (2021).
- Yuchen Song, Qirui Fan, Chao Lu, Danshi Wang, and Alan Pak Tao Lau, "Efficient three-step amplifier configuration algorithm for dynamic C+ L-band links in presence of stimulated Raman scattering," Journal of Lightwave Technology 41, 1445-1453 (2022).
- Danshi Wang, Yuchen Song, Jin Li, Jun Qin, Tao Yang, Min Zhang, Xue Chen, and Anthony C Boucouvalas, "Data-driven optical fiber channel modeling: A deep learning approach," Journal of Lightwave Technology 38, 4730-4743 (2020).
- Danshi Wang, Yuchen Song, Yao Zhang, Xiaotian Jiang, Jiawei Dong, Faisal Nadeem Khan. Takeo Sasai, Shanguo Huang, Alan Pak Tao Lau, Massimo Tornatore, Min Zhang, "Digital Twin of Optical Networks: A Review of Recent Advances and Future Trends," Journal of Lightwave Technology, vol. 42, no. 12, pp. 4233-4259, (2024).
- Yuchen Song, Qirui Fan, Chao Lu, Danshi Wang, and Alan Pak Tao Lau, "Simple amplifier configuration algorithm for dynamic C+ L-band systems in the presence of stimulated Raman scattering," Optics Letters 47, 4712-4715 (2022).
- Yuchen Song, Min Zhang, Yan Shi, Yu Tang, Yakun Hu, Shikui Shen, and Danshi Wang. "Physics-informed digital twin with parameter refinement for a field-trial C+ L-band transmission link." In 2023 European Conference on Optical Communications (ECOC), oral.
- Yuchen Song, Danshi Wang, Han Ye, Jun Qin, and Min Zhang, "Wavelength controllable forward prediction and inverse design of nanophotonic devices using deep learning," in 2020 European Conference on Optical Communications (ECOC), oral.
- Yuchen Song, Qirui Fan, Danshi Wang, Chao Lu, and Alan Pak Tao Lau, "A Fast Amplifier Gain and Tilt Configuration Algorithm for Dynamic C+ L-band Networks," in 2022 Optical Fiber Communications Conference and Exhibition (OFC), oral.
- Yuchen Song, Xiaotian Jiang, Xiao Luo, Ximeng Zhang, Min Zhang, and Danshi Wang, "Physics-Informed Neural Operator-based Full Wavefield Back-Propagation for Multi-span Optical Transmission," in Optical Fiber Communications Conference and Exhibition (OFC) 2023, oral.
- Yuchen Song, Yao Zhang, Chunyu Zhang, Jin Li, Min Zhang, and Danshi Wang, "PINN for Power Evolution Prediction and Raman Gain Spectrum Identification in C+ L-Band Transmission System," in Optical Fiber Communications Conference and Exhibition (OFC) 2023, oral.
- Yuchen Song, Danshi Wang, Qirui Fan, Xiaotian Jiang, Xiao Luo, and Min Zhang, "Physics-Informed Neural Operator for Fast and Scalable Optical Fiber Channel Modelling in Multi-Span Transmission," in 2022 European Conference on Optical Communication (ECOC), poster.
- Yuchen Song, et al, Neural Operator for Optical Fiber Channel Modeling: A Hybrid Physics and Data Driven Approach, Photonics Global Conference (PGC 2023), oral.