Short Bio

I'm current a second-year PhD student at MIT, CSAIL, Data System Group. I'm super fortunately co-advised by Prof. Samuel Madden and Prof. Tim Kraska. Before MIT, I achieved a master degree from University of Oxford and bachelor degrees from Carnegie Mellon University. My primary research focus is to use traditional machine learning or deep learning techniques to build better query optimizers. I'm also working on hybrid transactional and analytical processing system (HTAP) and video database management systems.

Selected Publications

• FactorJoin: A New Cardinality Estimation Framework for Join Queries.
  Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
  SIGMOD 2023.

• Robust Query Driven Cardinality Estimation under Changing Workloads.
  Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh.
  To appear VLDB 2023.

• Extract-Transform-Load for Video Streams.
  Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Tim Kraska, Samuel Madden.
  To appear VLDB 2023.

• Lero: A Learning-to-Rank Query Optimizer.
  Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou.
  To appear VLDB 2023.

• A Unified Transferable Model for ML-Enhanced DBMS.
  Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou.
  CIDR 2022.

• Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
  Yuxing Han*, Ziniu Wu*, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui.
  VLDB 2022.

• FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation.
  Rong Zhu*, Ziniu Wu*, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui.
  VLDB 2021.

• BayesCard: Revitilizing Bayesian Frameworks for Cardinality Estimation.
  Ziniu Wu, Amir Shaikhha, Rong Zhu, Kai Zeng, Yuxing Han, Jingren Zhou.
  In Submission.

• Efficient and scalable structure learning for Bayesian networks: Algorithms and Applications.
  Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui.
  ICDE 2021.

• FSPN: A New Class of Probabilistic Graphical Model.
  Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou.
  CoRR 2020.

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Service

• Information Systems Journal (INFOSYS) 2022 Reviewer
• MLSys 2022 External Reviewer
• KDD 2022 External Reviewer

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