Weibin Meng (孟伟彬)

About me

I am a Ph.D. candidate 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 also supervised by Assistant Professor Shenglin Zhang.  My research focus is on logs analysis.

Research Interests

  • AIOps
  • Log analysis

Research Internships

  • Huawei 2012 Lab, from May 2018 to present.
  • Baidu, from February 2016 to May 2018

Publications

  • A Semantic-aware Representation Framework forOnline Log Analysis
    Weibin Meng, Ying Liu, Yuheng Huang, Shenglin Zhang, Federico Zaiter, Bingjin Chen, Dan Pei
    ICCCN 2020, Honolulu, Hawaii, USA, Auguest 3 – August 6, 2020.
    PaperSlidesCode
  • LogParse: Making Log Parsing Adaptive through Word Classification
    Weibin Meng, Ying Liu, Federico Zaiter, Shenglin Zhang, Yihao Chen, Yuzhe Zhang, Yichen Zhu, En Wang, Ruizhi Zhang, Shimin Tao, Dian Yang, Rong Zhou, Dan Pei
    ICCCN 2020, Honolulu, Hawaii, USA, Auguest 3 – August 6, 2020.
    PaperSlidesCode
  • Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks
    Shenglin Zhang, Ying Liu, Weibin Meng, Jiahao Bu, Sen Yang, Yongqian sun, Dan Pei, Jun Xu, Yuzhi Zhang, Lei Sone, Ming Zhang
    IEEE Access 2020
    Paper Code (A journal paper, no slides)
  • ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks
    Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, Yan Liu
    INFOCOM 2020, Beijing, China, Apr 27-30, 2020
    PaperSlides
  • Storage Management Strategy in Mobile Phones for Photo Crowdsensing
    En Wang, Zhengdao Qu, Xinyao Liang, Xiangyu Meng, Yongjian Yang, Weibin Meng
    Sensors 2020
    Paper  (A journal paper, no slides)
  • LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
    Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou
    IJCAI 2019, Macao, China, August 10-16 2019.
    PaperSlides
  • Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams
    Jiahao Bu, Ying Liu , Shenglin Zhang , Weibin Meng , Qitong Liu, Xiaotian Zhu, Dan Pei
    IPCCC 2018, Orlando, Florida, USA, November 17-19, 2018.
    PaperSlides
  • Device-Agnostic Log Anomaly Classification with Partial Labels
    Weibin Meng, Ying Liu, Shenglin Zhang, Dan Pei, Hui Dong, Lei Song, Xulong Luo
    IWQoS 2018, Banff, Alberta, Canada, June 4-6, 2018. (Short paper)
    PaperSlidesCode
  • 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.
    PaperSlides
  • Syslog Processing for Switch Failure Diagnosis and Prediction in Datacenter Networks
    Shenglin Zhang, Weibin Meng, Jiahao Bu, Sen Yang, Ying Liu, Dan Pei, Jun Xu, Yu Chen, Hui Dong, Xianping Qu, Lei Song
    IWQoS 2017,Vilanova i la Geltrú, Barcelona, Spain, 14-16 June 2017.
    Paper SlidesCode

Contact me

AddressRoom 4-204, FIT Building, Tsinghua University, Beijing, China, 100084
 
 
 
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