We present a high-power, polarization-maintaining (PM) Er 3+ -doped fluoride fiber amplifier, which enables watt- level, linearly-polarized (LP) superfluorescent outputs around 2.8 μm by using a n…
We are concerned with using user-tagged images to learn proper hashing functions for image retrieval. The benefits are two-fold: (1) we could obtain abundant training data for deep hashing models; …
A major gap between few-shot and many-shot learning is the data distribution empirically oserved by the model during training. In few-shot learning, the learned model can easily become over-fitted …
Dissipative Kerr cavity soliton and optical frequency comb (OFC) can be generated in fiber cavities or microresonators with anomalous group velocity dispersion (GVD), which has achieved great break…
Traditional phase generation carrier technology requires to control the modulation depth at an optimal value for accurate demodulation. In this paper, we proposed an algorithm to directly eliminate…
Training supervised video captioning model requires coupled video-caption pairs. However, for many targeted languages, sufficient paired data are not available. To this end, we introduce the unpair…
Influence maximization is a crucial issue for mining the deep information of social networks, which aims to select a seed set from the network to maximize the number of influenced nodes. To evaluat…
A microfiber Bragg grating (MFBG) bonded using tapered cantilever was designed to improve ultrasonic sensitivity, and was investigated using experimental, theoretical, and numerical methods. The ul…
In this study, a modulation format identification (MFI) scheme based on a searching cluster boundary (SCB) algorithm is designed for space optical communication. Particularly, we design a clusterin…
Optical full-field recovery allows for fiber impairments compensation such as chromatic dispersion and polarization mode dispersion (PMD) in the digital signal processing. For cost-sensitive short-…