Xinyi Zhang (张心怡)

Homepage in Chinese: 中文主页

XinYi Zhang, Ph.D., is a lecturer in School of Information, Renmin University of China, and is selected into the Wu-Yuzhang Young Talents Program of Renmin University of China. She obtained her Bachelor's degree from the School of Information, Renmin University of China in 2019, and her Ph.D. from the School of Computer Science, Peking University in 2024, under the supervision of Professor Bin Cui.
https://cs.pku.edu.cn/English/Home.htm Her research focuses on autonomous database systems. She has published more than ten papers in top international conferences and journals (CCF Class A) in these areas.

Publications

2024
  • Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui:
    An Efficient Transfer Learning Based Configuration Adviser for Database Tuning.
    Accepted by VLDB 2024.
2023
  • Xinyi Zhang Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui:
    A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning.
    In Proceedings of the 2023 International Conference on Management of Data (SIGMOD 2023), 15 pages.
  • Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui:
    ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems.
    International Conference on Very Large Data Bases (VLDB 2023), 14 pages.
  • Shiyue Huang, Ziwei Wang, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui:
    DBPA: A Benchmark for Transactional Database Performance Anomalies.
    In Proceedings of the 2023 International Conference on Management of Data (SIGMOD 2023), 15 pages.
  • Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui:
    Towards General and Efficient Online Tuning for Spark.
    International Conference on Very Large Data Bases (VLDB 2023), 14 pages.
2022
  • Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, and Bin Cui:
    Towards Dynamic and Safe Configuration Tuning for Cloud Databases.
    In Proceedings of the 2022 International Conference on Management of Data (SIGMOD 2022), 13 pages.
  • Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:
    Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation.
    International Conference on Very Large Data Bases (VLDB 2022), 14 pages.
  • Shiyue Huang, Yanzhao QIN, Xinyi Zhang, Yaofeng Tu, Bin Cui:
    A Survey on Performance Optimization for Database Systems.
    SCIENCE CHINA Information Sciences. (IF: 7.275)
2021 and Before
  • Xinyi Zhang, Hong Wu, Zhuo Chang, Shuowei Jin, Jian Tan, Feifei Li, Tieying Zhang, and Bin Cui:
    ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases.
    In Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021), 13 pages.
  • Xinyi Zhang, Zhipeng Zhang, Tieying Zhang, Bin Cui, Ju Fan:
    RLO: a reinforcement learning-based method for join optimization.
    SCIENTIA SINICA Informationis..
  • Wei Lu, Xinyi Zhang, Zhiyu Shui, Zhe Peng, Xiao Zhang, Xiaoyong Du, Hao Huang, Xiaoyu Wang, Anqun Pan, Haixiang Li:
    MSQL+: A Plugin Toolkit for Similarity Search under Metric Spaces in Distributed Relational Database Systems.
    International Conference on Very Large Data Bases (VLDB 2018), 4 pages.

Services

Reviewer

  • ACM Transactions on Database Systems (TODS)

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)

  • International Conference on Very Large Data Bases (VLDB 2024)

More details in Publons

Awards and Honors

  1. 2023 ByteDance Scholarship (100,000 RMB, only 13 recipients nationwide)

  2. 2023 Huawei Ph.D. Scholarship (top 0.5%)

  3. 2023 Peking University Presidential Scholarship (highest honor for Ph.D. students at Peking University)

  4. 2022 Microsoft Scholar Award Nominee (21 recipients in the Asia-Pacific region)

  5. 2020-2021 National Scholarship (top 1%)

  6. 2021 Alibaba Academic Cooperation Outstanding Intern (only 12 recipients nationwide)

  7. 2020-2021 Peking University Academic Innovation Award (top 0.5%)

  8. Best Student Paper Award at CCF National Database Conference NDBC 2019

  9. 2017-2018 National Scholarship (top 1%)