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20112019
most citedUnsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

803 citations · 1.2k across the 20 of their papers we have counts for

collaborators

20 papers

quant-ph2019

Szegedy Quantum Walks with Memory on Regular Graphs

Dan Li, Ying Liu, Yu-Guang Yang +2

Quantum walks with memory(QWM) are a type of modified quantum walks that record the walker's latest path. The general model of coined QWM is presented in Phys. Rev. A 93, 042323 (2…

cs.HC2018★ 59 cited

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…

cs.NI2018★ 2 cited

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…

math.ST2018★ 3 cited

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…

cs.NI2018

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…

cs.CY2018★ 3 cited

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…