803 citations · 1.2k across the 20 of their papers we have counts for
6 papers · 1 filter
Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks
Qiqi Zhang, Ying Liu
One of the big restrictions in brain computer interface field is the very limited training samples, it is difficult to build a reliable and usable system with such limited data. In…
ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing
Shangguang Wang, Chuntao Ding, Ning Zhang +3
This article proposes an edge content delivery framework (ECD) based on mobile edge computing in the era of Internet of Things (IOT), to alleviate the load of the core network and…
Batch size selection for variance estimators in MCMC
Ying Liu, Dootika Vats, James M. Flegal
We consider batch size selection for a general class of multivariate batch means variance estimators, which are computationally viable for high-dimensional Markov chain Monte Carlo…
On Maximizing Sampling Time of RF-Harvesting Sensor Nodes Over Random Channel Gains
Changlin Yang, Kwan-Wu Chin, Ying Liu
In the future, sensor nodes or Internet of Things (IoTs) will be tasked with sampling the environment. These nodes/devices are likely to be powered by a Hybrid Access Point (HAP) w…
A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection
Kun Hu, Zhe Li, Ying Liu +3
Customer retention is one of the primary goals in the area of customer relationship management. A mass of work exists in which machine learning models or business rules are establi…
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
Haowen Xu, Wenxiao Chen, Nengwen Zhao +10
To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e.g., Page Views, number of online users, and number of orders) of its Web applicatio…