Zhiqi Wang [王之祺] Ph.D. Department of Computer Science and Engineering The Chinese University of Hong Kong Email:867245430@qq.com

Biography

Education

• Ph.D. in Computer Science and Engineering from CUHK in July, 2023 (supervisd by Prof. Zili Shao)
• B.Eng. in Computer Engineering from CUHK in July, 2019 (first class honour, dean list of 2017, 2019) (2+2 joint education with SYSU)

My research includes -

• year 1-3: timeseries management systems, key-value stores, and databases.
• year 4: in-storage computing, file systems.

I am currently in the job market.

Activities

• Google Summer of Code 2019: Optimization of the storage engine of Prometheus.
• Huawei Cloud Database Innovation Lab (June - August, 2022): Optimization of the storage engine of OpenGemini.

Publications

• Tianyu Wang, Jin Xue, Zelin Du, Zhiqi Wang, Yaotian Cui, and Zili Shao.
  Lightning Talk: Model, Framework and Integration for In-Storage Computing with Computational SSDs.
  60th ACM/IEEE Design Automation Conference (DAC 2023)(CCF-A).
  [code] [paper]
  
  
• Zhiqi Wang, and Zili Shao.
  MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying.
  The 43th ACM SIGMOD International Conference on Management of Data (SIGMOD 2024)(CCF-A).
  [code] [paper]
  
  
• Zhiqi Wang, and Zili Shao.
  ForestTI: A Scalable Inverted-Index-Oriented Timeseries Management System with Flexible Memory Efficiency.
  The 42nd ACM SIGMOD International Conference on Management of Data (SIGMOD 2023)(CCF-A).
  [code] [paper]
  
  
• Kai Zhang, Zhiqi Wang, and Zili Shao.
  BSCache: A Brisk Semantic Caching Scheme for Cloud-based Performance Monitoring Timeseries Systems.
  Proceedings of the 51st International Conference on Parallel Processing (ICPP 2022)(CCF-B).
  [code] [paper]
  
  
• Zhiqi Wang, and Zili Shao.
  TimeUnion: An Efficient Architecture with Unified Data Model for Timeseries Management Systems on Hybrid Cloud Storage.
  The 41st ACM SIGMOD International Conference on Management of Data (SIGMOD 2022)(CCF-A).
  [code] [paper]
  
  
• Jin Xue, Zhiqi Wang, and Zili Shao.
  TagTree: Global Tagging Index with Efficient Querying for Time Series Databases.
  The 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2022)(CCF-B).
  [code] [paper]
  
  
• Zhiqi Wang, Jin Xue, and Zili Shao.
  Heracles: An Efficient Storage Model and Data Flushing for Performance Monitoring Timeseries.
  The 47th International Conference on Very Large Data Bases (VLDB 2021)(CCF-A), Volume 14(6), 1080-1092.
  [code] [paper]