Meta-Wrapper : Differentiable Wrapping Operator for User Interest Selection i…
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…
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research …
Many state-of-the-art evolutionary algorithms (EAs) can be categorized as sequential hybrid EAs, in which various EAs are sequentially executed. The timing to switch from one EA to another is criti…
Elastic Adaptive Network Slicing Scheme Based on Multi-Priority Cooperative P…
With the development of information technology, optical access network gradually presents the characteristics of multi-domain, multi-layer and multi-vendor. The network slicing technology provides …
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and…
It is quite laborious and costly to manually label LiDAR point cloud data for training high-quality 3D object detectors. This work proposes a weakly supervised framework which allows learning 3D de…
Predicting the Number of Future Events
This article describes prediction methods for the number of future events from a population of units associated with an on-going time-to-event process. Examples include the prediction of warranty r…
COVID-19 and E-Commerce Operations : Evidence from Alibaba
Problem definition: This paper investigates the impact of COVID-19 on e-commerce sales and the underlying operational driver. Academic/practical relevance: As COVID-19 continues to disrupt offline …
Ultra-High Frequency Signal Transmission Based on Temporal Ghost Imaging
We propose a method based on temporal ghost imaging (TGI) that enables signal transmission at an ultra-high frequency much higher than the bandwidth of the emitter in a visible light communication …
Secrecy Performance Analysis for Water-to-Air Visible Light Communication
This paper investigates the physical-layer security for water-to-air (W2A) visible light communication (VLC). The impacts of surface fluctuation and underwater scattering on the channel gain are th…
BuildingFusion : Semantic-Aware Structural Building-Scale 3D Reconstruction
Scalable geometry reconstruction and understanding is an important yet unsolved task. Current methods often suffer from false loop closures when there are similar-looking rooms in the scene, and of…
Deep Partial Multi-View Learning
Although multi-view learning has made significant progress over the past few decades, it is still challenging due to the difficulty in modeling complex correlations among different views, especiall…
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