Diabetes mellitus is a common chronic disease, which requires continuous monitoring of blood glucose levels in patients during treatment. In this work, we propose and experimentally demonstrate a g…
Neural architecture search (NAS), which automatically designs the architectures of deep neural networks, has achieved breakthrough success over many applications in the past few years. Among differ…
Fiber optofluidic lasers (FOFLs) have attracted considerable research attention in the field of biochemical sensing due to their merits such as high sensitivity, low sample consumption, and real-ti…
Time-series forecasting is one of the most active research topics in artificial intelligence. It has the power to bring light to problems in several areas of knowledge, such as epidemiological stud…
Visual Question Answering (VQA) has attracted extensive research focus recently. Along with the ever-increasing data scale and model complexity, the enormous training cost has become an emerging ch…
Significant progress has been made in single source recognition for fiber-optical distributed acoustic sensor (DAS). However, it is still challenging to detect and identify more than one unpredicta…
A taper-based in-line Mach-Zehnder interferometer (MZI) coated with the magnetic fluids (MFs) is designed and experimentally verified for the highly sensitive magnetic field measurement. The effect…
A novel fast-response sensitivity-enhanced high-temperature all-fiber Fabry–Pérot high-pressure sensor formed with a hard-core diaphragm is proposed and demonstrated. The structure can effective…
Variational autoencoders (VAEs) have demonstrated their superiority in unsupervised learning for image processing in recent years. The performance of the VAEs highly depends on their architectures,…
Hybrid Silicon and Lithium Niobate photonic integration platform has emerged as a promising candidate to combine the scalability of silicon photonic with the high modulation performance of Lithium …