Linear discriminant analysis (LDA) has been proven to be effective in dimensionality reduction. However, the performance of LDA depends on the consistency assumption of the global structure and the…
Frequentist model averaging is an effective technique to handle model uncertainty. However, calculation of the weights for averaging is extremely difficult, if not impossible, even when the dimensi…
An advanced light source at blue-green waveband is the key to improve the link-distance and communication performance of an underwater wireless optical communication (UWOC) system. This work presen…
Large-scale optimization problems (LSOPs) are challenging because the algorithm is difficult in balancing too many dimensions and in escaping from trapped bottleneck dimensions. To improve solution…
To apply convolutional neural networks (CNNs) on high-resolution images, a common approach is to split the input image into smaller patches. However, the field-of-view is restricted by the input si…
High-power, single-frequency lasers are important in the applications of coherent optical communication, Doppler wind lidar, and remote sensing. Here, a 10-kHz, 353-μJ, single-frequency, 574-ns, 1…
Government bonds might provide reference entities that reduce corporate bond yields. We study China’s 2017 issuance of two U.S. dollar (USD)-denominated sovereign bonds when there were (effective…
Communities in multi-layer networks consist of nodes with similar connectivity patterns across all layers. This article proposes a tensor-based community detection method in multi-layer networks, w…
Tactile sensation is one of the critical ways humans perceive the world and is fundamental for the interaction with the surroundings. The development of haptic sensors can enable us to extend and t…