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.
Publications
2024
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning. Accepted by VLDB 2024. 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. ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. International Conference on Very Large Data Bases (VLDB 2023), 14 pages. DBPA: A Benchmark for Transactional Database Performance Anomalies. In Proceedings of the 2023 International Conference on Management of Data (SIGMOD 2023), 15 pages. Towards General and Efficient Online Tuning for Spark. International Conference on Very Large Data Bases (VLDB 2023), 14 pages. Towards Dynamic and Safe Configuration Tuning for Cloud Databases. In Proceedings of the 2022 International Conference on Management of Data (SIGMOD 2022), 13 pages. Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. International Conference on Very Large Data Bases (VLDB 2022), 14 pages. A Survey on Performance Optimization for Database Systems. SCIENCE CHINA Information Sciences. (IF: 7.275) 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. RLO: a reinforcement learning-based method for join optimization. SCIENTIA SINICA Informationis.. 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. Reviewer
Awards and Honors
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