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]
- FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight ReplicationIn 2021 IEEE 41th International Conference on Distributed Computing Systems (ICDCS) 2021
- HotML: A DSM-based machine learning system for social networksJournal of Computational Science 2018
- Zero-cost Fast Reactive Recovery for Parameter ServerIn proceedings of the 26th Symposium on Operating Systems Principles (SOSP, Poster) 2017
- Towards an efficient snapshot approach for virtual machines in cloudsInformation Sciences 2017
- SPFC: An effective optimization for vertex-centric graph processing systemsIEEE Transactions on Sustainable Computing 2017
- PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and MiningIn Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM) 2017
- FluteDB: an efficient and dependable time-series database storage engineIn International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (DependSys) 2017 (Best paper award)
- Hotsnap: A hot distributed snapshot system for virtual machine clusterIn 27th Large Installation System Administration Conference ({LISA} 13) 2013
Experience
- Research Intern (May 2021 - Aug 2021)
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
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Programming
C++, Java, Python, Javascript, Bash, etc.
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Open-source systems
Pytorch, TensorFlow, Flink, Spark, Qemu & KVM, etc.
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System design/analysis
Parallel/distributed system design, performance tuning, bottleneck investigation