刘惠

个人信息:Personal Information

副教授 博士生导师 研究生导师

性别:女

毕业院校:西安电子科技大学

学历:博士研究生毕业

学位:博士学位

在职信息:在岗

所在单位:计算机科学与技术学院

学科:计算机科学与技术 软件工程

办公地点:南校区网安大楼

联系方式:923091954@qq.com

电子邮箱:

扫描关注

学术成果

当前位置:中文主页>>学术成果

部分列举如下:

[1] Task Scheduling With UAV-Assisted Dispersed Computing for Disaster Scenario, IEEE Systems Journal, 2022(2区)

[2] Question and answer robot's technology for air traffic control[J]. Command Information System and Technology,2021

[3] A Performance Evaluation Method of Load Balancing Capability in SaaS Layer of Cloud Platform , Journal of Physics Conference Series,2021

[4] Kuberntes集群中多节点合作博弈负载均衡策略西安电子科技大学学报,Vol.48 page 16-22 and 122,No.6,Dec. 2021

[5] AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles,"IEEE Transactions on Mobile Computing,Vol.20,Issue 12, page 3282-3297, DECEMBER 2021(1区)

[6] SmartMeeting: An Novel Mobile Voice Meeting Minutes Generation and Analysis System, Mobile Networks & Applications,vol.25,no.2,pp.521-536,APR 2020

[7] Privacy Adversarial Network: Representation Learning for Mobile Data PrivacyProceedings of the ACM Interact Mobile Wearable Ubiquitous Technol, Vol.3,No.4, December 2019(UbiComp 2019 CCF A类会议)

[8] Deep Model Compression for Mobile Platforms: A Survey,TSINGHUA SCIENCE AND TECHNOLOGY, 2019

[9] On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Seletion Framework, proceedings of the 16th ACM International Conference on Mobile Systems, Applications, and Services(MobiSys 2018 移动计算旗舰会议)

[10] Understanding Sensor Data using Deep Learning Methods on Resource-Constrained edge devices,"""WIRELESS SENSOR NETWORKS (CWSN 2017),vol.812,pp.139-152,2018 [11th China Wireless Sensor Network Conference (CWSN2017)

[11] ProMETheus: An Intelligent Mobile Voice Meeting Minutes System, Proceedings of the 15th EAI international conference on mobile and ubiquitous systems: computing, networking and services (MobiQuitous 2018),pp.392-401,Nov 2018,New York City, United States.

[12] UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies archive, 2017

[13] Energy-efficient Algorithm to Construct the Information Potential Field in WSNs,"""IEEE sensor journal, 2017

[14] Poster: MobiEar-building an environment-independent acoustic sensing platform for the deaf using deep learningMobiSys 2016 Companion - Companion Publication of the 14th Annual International Conference on Mobile Systems, Applications, and Services,p 50, June 25, 2016 - June 30, 2016,Singapore

[15] CrowdBlueNet: Maximizing Crowd Data Collection Using Bluetooth Ad Hoc NetworksWIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS,vol.9798,pp.356-366, WASA 2016.[Proceedings of the 11th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2016,AUG 2016, Bozeman, MT, United states

[16] Air Pollution Source Estimation Profiling via Mobile Sensor Networks"Proceedings of the 2016 International Conference on Computer, Information, and Telecommunication Systems, IEEE CITS 2016,July 2016,KunMing,China

[17] PiPDR:A Placement-Independent Pedestrian Dead Reckoning System in Mobile Phone,"""Ad Hoc & Sensor Wireless Networks,vol.26,no.1-4,pp.73-96,2015

[18] SmartCare: Energy-efficient Long-Term Physical Activity Tracking using SmartphonesTSINGHUA Science and Technology, Volume 20,Number 4, pp348-363, August 2015.

Baidu
map