A5101970827- Optical Network Technologies
- Advanced Photonic Communication Systems
- Advanced Optical Network Technologies
- Numerical methods in engineering
- Photonic and Optical Devices
- Electromagnetic Simulation and Numerical Methods
- Electromagnetic Scattering and Analysis
- Semiconductor Lasers and Optical Devices
- Power Systems and Renewable Energy
- High-Voltage Power Transmission Systems
- Neural Networks and Reservoir Computing
- Advanced Numerical Methods in Computational Mathematics
- Advanced Computational Techniques and Applications
- HVDC Systems and Fault Protection
- Power System Optimization and Stability
- Graph Labeling and Dimension Problems
- graph theory and CDMA systems
- Limits and Structures in Graph Theory
- Law, AI, and Intellectual Property
- UAV Applications and Optimization
- Urban and Freight Transport Logistics
- Wireless Sensor Networks and IoT
- Fluid Dynamics and Vibration Analysis
- Environmental Education and Sustainability
- Soil, Finite Element Methods
Beijing University of Posts and Telecommunications
2023-2025
Nanjing Forestry University
2025
State Key Laboratory of Information Photonics and Optical Communications
2023-2024
Nanjing University of Science and Technology
2024
Shanghai Jiao Tong University
2023
Shanghai University of Political Science and Law
2023
Ruijin Hospital
2023
Chang'an University
2020-2021
Beijing University of Chemical Technology
2020
Beijing Center for Disease Prevention and Control
2019
Since the advent of GPT, large language models (LLMs) have brought about revolutionary advancements in all walks life. As a superior natural processing (NLP) technology, LLMs consistently achieved state-of-the-art performance numerous areas. However, are considered to be general-purpose for NLP tasks, which may encounter challenges when applied complex tasks specialized fields such as optical networks. In this study, we propose framework LLM-empowered networks, facilitating intelligent...
Camptotheca acuminata Decne. is an endemic and valuable tree species in China that renowned for its medicinal economic value due to secondary metabolites like camptothecin, a potent anti-cancer compound. With wild resources dwindling, it key protected species. Predicting analyzing suitable habitats under different future environmental scenarios essential conservation, introduction, development, planting strategies. This study used 1008 distribution points 32 factors, applying the MaxEnt...
The generalized signal-to-noise ratio (GSNR) is a typical metric for quality of transmission (QoT), which in wideband systems may not be uniform without adjustment after multi-span transmission. In this study, we utilize symmetric neural network structure including reverse and forward models to optimize the GSNR by controlling transmitter launch power equalized wavelength-selective switch (WSS) both C- C+L-band systems. proposed digital twin (DT)-assisted method enables accurate optimization...
Bridging the gap between real and virtual worlds, a digital twin (DT) leverages data, models, algorithms for comprehensive connectivity. The research on DTs in optical networks has increased recent years; however, are evolving toward wideband capabilities, highly dynamic states, ever-increasing scales, posing huge challenges, including high complexity, extensive computational duration, limited accuracy DT modeling. In this study, models developed based Gaussian noise (GN) model deep neural...
A GPT-enabled digital twin (DT) assistant is implemented with the capabilities of intention understanding, analysis, reasoning, and complex multi-task collaboration, which integrate DT technologies to enhance automated operation, monitoring, control, upgrade optical networks.
With the increasing capacity and complexity of optical fiber communication systems, both academic industrial requirements for essential tasks transmission systems simulation, digital signal processing (DSP) algorithms verification, system performance evaluation, quality (QoT) optimization are becoming significantly important. However, due to intricate nonlinear nature these generally implemented in a divide-and-conquer manner, which necessitates profound level expertise proficiency software...
Abstract Silicon hybrid benzoxazine has good flame retardance, but generally these polymer' curing temperature is higher than 220°C, limiting its application in the field of electronics. In this study, under Nickel acetylacetonate catalyzed, a new was synthesized using copolymerization polysilazane and allyl containing benzoxazine. Differential scanning calorimeter (DSC) Fourier transform infrared spectroscopy (FTIR) studied behavior The results DSC FTIR indicated that can decrease from 269...
This paper introduces the characteristic of Japanese dynamic pricing model, meanwhile, summarizes results from an exploratory analysis about 200 households that took part in price experiment Kitakyushu, Japan. Using hourly load data collected smart meter, we find statistically reduction for participants during DP time block. With incentive different levels DP, peak demand ratio changes 6% to 14% which proved residential customers have potential respond variable signals. In addition, also...
When a large disturbance resulting in active power deficiency occurs, emergency automatic generation control (EAGC) and under frequency load shedding (UFLS) are the effective means to maintain stability. In order coordinate with UFLS, this paper considers coordinated of increasing generators output support HVDC enhance system stability interconnected AC/DC system. On basis, an optimization model that concerns both recovery performance minimum amount has been proposed, setting action UFLS...
We experimentally demonstrate multi-channel power evolution prediction and identification of frequency-dependent fiber characteristics using PINN. A maximum absolute error 0.3 dB for is observed on C+L-band transmission under different loadings.\
Digital twin has revolutionized optical communication networks by enabling their full life-cycle management, including design, troubleshooting, optimization, upgrade, and prediction. While extensive literature exists on frameworks, standards, applications of digital twin, there is a pressing need in implementing field-deployed operating real-world environments, as opposed to controlled laboratory settings. This paper addresses this challenge examining the uncertain factors behind inaccuracy...
We experimentally demonstrate multi-channel power evolution prediction and identification of frequency-dependent fiber characteristics using PINN. A maximum absolute error 0.3 dB for is observed on C+L-band transmission under different loadings.
A fast and accurate QoT estimation scheme using deep neural network is proposed for dynamic C+L-band large-scale mesh networks. The calculation time decreased dramatically it applied to measure the fiber broken case.