An Optimal Transport Approach for Selecting a Representative Subsample with A…
Subsampling methods aim to select a subsample as a surrogate for the observed sample. Such methods have been used pervasively in large-scale data analytics, active learning, and privacy-preserving …
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differen…
This article deals with a practical distributed hybrid differentiation flowshop scheduling problem (DHDFSP) for the first time, where manufacturing products to minimize makespan criterion goes thro…
Hybrid Sapphire Dual-Fabry—Perot-Cavities Sensor for High Temperature and R…
We presented a hybrid sapphire dual-Fabry-Perot- cavities sensor for high temperature and refractive index measurement. A double-sided polished sapphire solid wafer is connected in series with a do…
Signaling Quality with Return Insurance : Theory and Empirical Evidence
This paper examines an innovative return policy, return insurance, emerging on various shopping platforms such as Taobao.com and JD.com. Return insurance is underwritten by an insurer and can be pu…
Delay Information in Virtual Queues : A Large-Scale Field Experiment on a Maj…
The growing adoption of virtual queues in the service and retail industries has been greatly accelerated in recent times. In collaboration with a major ride-sharing platform, we study how the wait …
Multi-Label Classification With Label-Specific Feature Generation : A Wrapped…
Label-specific features serve as an effective strategy to learn from multi-label data, where a set of features encoding specific characteristics of each label are generated to help induce multi-lab…
Optical Uplink, D2D and IoT Links Based on VCSEL Array : Analysis and Demonst…
In this paper, vertical cavity surface emitting laser (VCSEL) array is used to establish gigabits/second (Gbps) optical uplink, device-to-device (D2D), and Internet-of-thing (IoT) links, as a suppl…
Recursive Copy and Paste GAN : Face Hallucination From Shaded Thumbnails
Existing face hallucination methods based on convolutional neural networks (CNNs) have achieved impressive performance on low-resolution (LR) faces in a normal illumination condition. However, thei…
Deep Model Intellectual Property Protection via Deep Watermarking
Despite the tremendous success, deep neural networks are exposed to serious IP infringement risks. Given a target deep model, if the attacker knows its full information, it can be easily stolen by …
Interfacial Sensitivity Enhancement in Optical Microfiber Functionalized With…
The nanointerface-sensitized optical microfiber is shown with ultrahigh sensing sensitivity to the small variation of the external refractive index. By optimizing localized surface plasmon resonanc…
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