Conventional deformable registration methods aim at solving an optimization model carefully designed on image pairs and their computational costs are exceptionally high. In contrast, recent deep le…
Orbital angular momentum (OAM) modes have becoming more promising to further achieve higher spectral efficiency and data capacity in space-division-multiplexing (SDM) fiber communication systems. I…
Recently, orbital angular momentum (OAM) multiplexing has attracted much attention for providing an exponential growth in optical fiber capacity. As an irreplaceable component to promote long-haul …
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…
Recently, hyperbolic deep neural networks (HDNNs) have been gaining momentum as the deep representations in the hyperbolic space provide high fidelity embeddings with few dimensions, especially for…
In this study, we investigate a unique Al-content engineered superlattice electron blocking layer (AESL-EBL) for improving the charge carrier transport properties of AlGaN quantum well (QW) deep ul…
A high-sensitivity low-frequency fiber-optic Fabry-Perot (F-P) acoustic sensing scheme was proposed based on optical cross-correlation (OCC). The finite element method (FEM) is used to analyze the …
Mode division multiplexing (MDM) is considered to be an efficient solution to alleviate the exponentially increasing “capacity crunch”. Here, we numerically and experimentally demonstrate a hig…
Microwave photonic sensing is an emerging technology that uses broadband analog optical signal processing to help traditional optical sensor achieve higher detection speed, sensitivity, and resolut…
Designing effective architectures is one of the key factors behind the success of deep neural networks. Existing deep architectures are either manually designed or automatically searched by some Ne…