19 citations · 41 across the 10 of their papers we have counts for
10 papers
Mathematical Reasoning Enhanced LLM for Formula Derivation: A Case Study on Fiber NLI Modellin
Yao Zhang, Yuchen Song, Xiao Luo +4
Recent advances in large language models (LLMs) have demonstrated strong capabilities in code generation and text synthesis, yet their potential for symbolic physical reasoning in…
Large language models for optical network O&M: Agent-embedded workflow for automation
Shengnan Li, Yidi Wang, Fubin Wang +7
With the continuous expansion of optical networks and the increasing diversity of services, existing operation and maintenance (O&M) approaches are increasingly challenged to meet…
Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
Yao Zhang, Yuchen Song, Shengnan Li +5
The rapid development of Generative Artificial Intelligence (GenAI) has catalyzed a transformative technological revolution across all walks of life. As the backbone of wideband co…
Lifecycle Management of Optical Networks with Dynamic-Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach
Yuchen Song, Min Zhang, Yao Zhang +5
Digital twin (DT) techniques have been proposed for the autonomous operation and lifecycle management of next-generation optical networks. To fully utilize potential capacity and a…
Physics-Informed Machine Learning for EDFA: Parameter Identification and Gain Estimation
Xiaotian Jiang, Jiawei Dong, Yuchen Song +3
As the key component that facilitates long-haul transmission in optical fiber communications by increasing capacity and reducing costs, accurate characterization and gain settings…
Synergistic Interplay of Large Language Model and Digital Twin for Autonomous Optical Networks: Field Demonstrations
Yuchen Song, Yao Zhang, Anni Zhou +6
The development of large language models (LLM) has revolutionized various fields and is anticipated to drive the advancement of autonomous systems. In the context of autonomous opt…
Implementing Digital Twin in Field-Deployed Optical Networks: Uncertain Factors, Operational Guidance, and Field-Trial Demonstration
Yuchen Song, Min Zhang, Yao Zhang +5
Digital twin has revolutionized optical communication networks by enabling their full life-cycle management, including design, troubleshooting, optimization, upgrade, and predictio…
Physics-Informed Neural Operator for Fast and Scalable Optical Fiber Channel Modelling in Multi-Span Transmission
Yuchen Song, Danshi Wang, Qirui Fan +3
We propose efficient modelling of optical fiber channel via NLSE-constrained physics-informed neural operator without reference solutions. This method can be easily scalable for di…
Reconfigurable optical logic operations through scattering media with wavefront shaping
Zhipeng Yu, Yuchen Song, Tianting Zhong +3
Optical logic gates are fundamental blocks of optical computing to accelerate information processing. While significant progress has been achieved in recent years, existing impleme…
Wavelength Controllable Forward Prediction and Inverse Design of Nanophotonic Devices Using Deep Learning
Yuchen Song, Danshi Wang, Han Ye +2
A deep learning-based wavelength controllable forward prediction and inverse design model of nanophotonic devices is proposed. Both the target time-domain and wavelength-domain inf…