Acoustically-induced fiber gratings (AIFGs) can be employed as the main device to achieve wide-range, time-linear, and fast wavelength tunability of various lasers, due to their fast spectral respo…
Click-through rate (CTR) prediction, whose goal is to predict the probability of the user to click on an item, has become increasingly significant in the recommender systems. Recently, some deep le…
Determining how to add more signal channels without enlarging the cable volume is continually an issue in managing submarine cables. To improve the cost per bit and the power efficiency, space divi…
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome…
This paper reviews the novel concept of a controllable variational autoencoder (ControlVAE), discusses its parameter tuning to meet application needs, derives its key analytic properties, and offer…
Variable screening methods have been shown to be effective in dimension reduction under the ultra-high dimensional setting. Most existing screening methods are designed to rank the predictors accor…
An ultra-widely tunable acousto-optic add-drop filter is proposed and demonstrated based on the acoustically-induced polarization conversion of cladding-etched single-mode fiber, which covers wavel…
High-power supercontinuum (SC) sources are important for remote sensing, homeland defense, and scientific research. Despite recent advances in power scaling of the SC generation in optical fibers, …
In this work, a perturbation-based neural network (P-NN) scheme with an embedded bidirectional long short-term memory (biLSTM) layer is investigated to compensate for the Kerr fiber nonlinearity in…
Random distributed-feedback Raman fiber lasers (RRFLs) are promising contenders in the applications of remote sensing, biotechnology, imaging, thanks to the unique properties on low coherence and w…