Quantile regression is a method of fundamental importance. How to efficiently conduct quantile regression for a large dataset on a distributed system is of great importance. We show that the popula…
A tunable light source with narrow linewidth, small size and low power consumption is necessary for high-speed digital coherent communication system. We have developed a monolithically integrated n…
Problem definition: This paper focuses on subscription box services in which a provider selects the assortment of products to include in the box by taking into account the customer’s preferences.…
In traditional data stream mining, classification models are typically trained on labeled samples from a single source. However, in real-world scenarios, obtaining accurate labels is very hard and …
800G Ethernet is expected to be the dominant solution for the next generation inter- and intra-data-center connections. To boost the transmission capacity to 800 Gb/s, utilizing multi-level pulse a…
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 …
Characterization of the thermo-optically tuned multi -channel interference widely tunable semiconductor laser for quasi-continuous tuning is demonstrated for the first time. The characterization st…
We demonstrate a new method for measuring the stimulated emission cross-section ( $\sigma _{s}$ ) of laser crystals for high-power solid-state lasers at working state using the relaxation oscillati…
Heterogeneity plays an important role in cancer genesis and progression. In this paper, we theoretically and computationally show that the increase of heterogeneity signals predeterioration during …
Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability. In this paper, we first introduce an Addit…