Xingzhou Zhang
张星洲

Personal Information

I am a Ph.D. student at Institute of Computing Technology (ICT) , Chinese Academy of Sciences (CAS). My advisor is Prof. Zhiwei Xu . Sponsored by China Scholarship Council (CSC), I am a visiting PhD student supervised by Prof. Weisong Shi in the Mobile and Internet Systems Laboratory (MIST), Wayne State University. My research interests focus on edge computing, machine learning and computer system.


Education

Ph.D.

Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS)

Studying for a doctor's degree of computer architecture.

2014 - Now

B.S.

Shandong University (SDU)

Received the bachelor's degree in computer science and technology.

2010 - 2014

Publications

JCST (2015)

SCI, IF=0.545

Zhang X Z, Liu J J, Xu Z W. Tencent and Facebook data validate Metcalfe's law[J]. Journal of Computer Science and Technology, 2015, 30(2): 246.

Bib  PDF   Link

UIC 2017

SF, USA

Zhang X, Wang Y, Chao L, et al. IEHouse: A Non-Intrusive Household Appliance State Recognition System [C]// Ubiquitous Intelligence and Computing (UIC). 2017 IEEE 14th International Conference on. IEEE, 2017

Bib PDF Link

IGSC 2017

Florida, USA

Y. Wang, X. Zhang, L. Chao, et al. PowerAnalyzer: An Energy-Aware Power Monitor System Aiming at Energy-Saving [C]// International Green and Sustainable Computing Conference. IEEE Computer Society, 2017

Bib PDF Link

Projects

OpenVDAP

2017.10-

WSU&ICT

A OPEN source of Vehicle Data Analytics Platform.
IO Isolation

2017.4-2017.11

Alibaba&ICT

Leveraging hardware and software co-design methods to improve the read performance (latency) under the write interference of NVMe SSD in data center.
IEHouse

2015.10-2016.12

ICT

A Non-Intrusive Household Appliance State Recognition System. It aims to discern devices by identifying a single measurement from the aggregate data. It uses Deep Neural Network (DNN) and the average accuracy of recognizing 10 mixed typical appliance states is 92.9%.
2014.7-2015.2

Metcalfe's law

ICT

Expand Metcalfe’s law to developing country by utilizing the actual data of Tencent and Facebook. It find that both Tencent and Facebook data fit Metcalfe’s law quite well.

Interests

Edge computing

Computer system

Machine learning

Economy & History

Languages

Python

Java

C/C++

PHP Html

Copyright (C) 2015-2017 by Xingzhou Zhang
Last updated: 2017-11-16