About me
I am a Master in the Department of Computer Science and Technology and the Institute for Network Sciences and Cyberspace at Tsinghua University. My advisers are Professor Dan Pei and Professor Ying Liu. I am interested in data-driven research in the Internet and machine data, such as device logs analysis and KPI anomaly detection.My research now focuses on deep generative model and semi-supervised learning.I do my research as an intern in Tencent,one of the most famous game companies in the world.I received my B.S. in Electronic Engineering in Tsinghua University in 2016.
Research Interests
- Failure prediction for network devices in datacenter networks
- Syslog analysis for switches
- Deep generative model in time series analysis
- Semi-supervised learning in KPI anomaly detection
Publications
- PreFix: Switch Failure Prediction in Datacenter Networks
Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun (Jim) Xu, Yuzhi Zhang, Yu Chen, Hui Dong, Xianping Qu, Lei Song.
SIGMETRICS 2018, Irvine, California, USA, June 18-22, 2018.
Paper - Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang and Honglin Qiao
WWW 2018, Lyon, France, 23-27 April 2018
Paper
- Syslog Processing for Switch Failure Diagnosis and Prediction in Datacenter Networks
Shenglin Zhang, Weibin Meng, Jiahao Bu, Sen Yang, Ying Liu, Dan Pei, Jun(Jim) Xu, Yu Chen, Hui Dong, Xianping Qu, Lei Song
IWQoS 2017,Vilanova i la Geltrú, Barcelona, Spain, 14-16 June 2017.
Paper Slides
Contact me
Address: Room 4-204, FIT Building, Tsinghua University, Beijing, China, 100084