I am ZHANG Yangyang (张扬扬), currently a Ph.D. candidate at the School of Computer Science and Engineering, Beihang University, China under the supervision of Prof. Jianxin Li.

Research interests

  • Machine Learning Systems
  • Distributed Graph Processing
  • Stream Processing
  • Operating System & Virtualization

Publications [more]

  1. FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight Replication
    Zhang Yangyang, Li Jianxin, Zhang Yiming, Wang Lijie, and Liu Ling
    In 2021 IEEE 41th International Conference on Distributed Computing Systems (ICDCS) 2021
  2. HotML: A DSM-based machine learning system for social networks
    Zhang Yangyang, Li Jianxin, Sun Chenggen, Bhuiyan Md Zakirul Alam, Yu Weiren, and Zhang Richong
    Journal of Computational Science 2018
  3. SPFC: An effective optimization for vertex-centric graph processing systems
    Li Jianxin, Cao Yingjie, Zhang Yangyang, Bhuiyan Md Zakirul Alam, and Li Bo
    IEEE Transactions on Sustainable Computing 2017
  4. Towards an efficient snapshot approach for virtual machines in clouds
    Li Jianxin, Zhang Yangyang, Zheng Jingsheng, Liu Hanqing, Li Bo, and Huai Jinpeng
    Information Sciences 2017
  5. Zero-cost Fast Reactive Recovery for Parameter Server
    Zhang Yangyang, Li Jianxin, Wang Haoyue, Cao Yingjie, and Yu Weiren
    In proceedings of the 26th Symposium on Operating Systems Principles (SOSP, Poster) 2017
  6. FluteDB: an efficient and dependable time-series database storage engine
    Li Chen, Li Jianxin, Si Jinghui, and Zhang Yangyang
    In International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (DependSys) 2017 (Best paper award)
  7. PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining
    Cao Yingjie, Zhang Yangyang, and Li Jianxin
    In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM) 2017
  8. Hotsnap: A hot distributed snapshot system for virtual machine cluster
    Cui Lei, Li Bo, Zhang Yangyang, and Li Jianxin
    In 27th Large Installation System Administration Conference ({LISA} 13) 2013

Experience

  • Research Intern (May 2021 - Now)

    Alibaba Beijing

    Conduct research works about failover in Flink.

Education

  • 2014 - 2021 (Expected)
    Ph.D. Student in Computer Science
    Beihang University
  • 2010 - 2014
    B.S in Computer Science
    Beihang University

Awards

  • ICDCS Student Registration Award, 2021
  • DependSys Best Paper Award, 2017
  • Outstanding Graduate Award from Beihang University, 2014
  • Outstanding Undergraduate Thesis Award from Beihang University, 2014

Talks

  • FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight Replication, AI Time, online, 2021
  • Big data in-memory computing systems and research of ACT Lab, Alluxio Meetup, Beijing, China, 2016
  • Fine-grained memory deduplication, Hangzhou, China, 2013

Academic/Teaching Services

  • Reviewer for TKDE, 2021
  • Reviewer for ICPADS, 2019
  • Reviewer for ACM Computing Surveys, 2018
  • Executive Committee Member of CCF YOCSEF GS, 2015
  • Teaching assistant, Object-oriented Programming Language (Java, for foreigner students) 2018 - 2019

Skills

  • Programming

    C++, Java, Python, Javascript, Bash, etc.

  • Open-source systems

    Pytorch, TensorFlow, Flink, Spark, Qemu & KVM, etc.

  • System design/analysis

    Parallel/distributed system design, performance tuning, bottleneck investigation