Ziniu Wu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Query Execution

Query Optimizer

Cardinality Estimation

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

Publications

Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
Stage: Query Execution Time Prediction in Amazon Redshift. SIGMOD Conference Companion (2024)
Yijie Chu, Ziniu Wu, Xiaohui Zhu, Yong Yue, Eng Gee Lim, Paolo Paoletti
Self-supervised Dock Pose Estimator for Unmanned Surface Vehicles Autonomous Docking. ICMRE (2024)
Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Samuel Madden, Tim Kraska
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version. CoRR (2024)
Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
Stage: Query Execution Time Prediction in Amazon Redshift. CoRR (2024)
Ferdi Kossmann, Ziniu Wu, Alex Turk, Nesime Tatbul, Lei Cao, Samuel Madden
CascadeServe: Unlocking Model Cascades for Inference Serving. CoRR (2024)
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden
Extract-Transform-Load for Video Streams. Proc. VLDB Endow. 16 (9) (2023)
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
FactorJoin: A New Cardinality Estimation Framework for Join Queries. Proc. ACM Manag. Data 1 (1) (2023)
Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou
Lero: A Learning-to-Rank Query Optimizer. Proc. VLDB Endow. 16 (6) (2023)
Tim Kraska, Tianyu Li, Samuel Madden, Markos Markakis, Amadou Ngom, Ziniu Wu, Geoffrey X. Yu
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes. Proc. VLDB Endow. 16 (11) (2023)
Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh
Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. 16 (6) (2023)
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden
Extract-Transform-Load for Video Streams. CoRR (2023)
Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou
Lero: A Learning-to-Rank Query Optimizer. CoRR (2023)
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
FactorJoin: A New Cardinality Estimation Framework for Join Queries. CoRR (2022)
Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
A Unified Transferable Model for ML-Enhanced DBMS. CIDR (2022)
Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou
Learned Query Optimizer: At the Forefront of AI-Driven Databases. EDBT (2022)
Dawei Liu, Qiwen Chen, Shuchang Li, Ziniu Wu, Liqi Chen, Xu He, Xin Huang, Wei Wang
Connect Your UAV to the Cloud Using Urban 4G and 5G Cellular Networks: Performance Evaluation and Comparison. IEEE Internet Things Mag. 5 (4) (2022)
Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng
HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic. CIKM (2022)
Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
A Unified Transferable Model for ML-Enhanced DBMS. CoRR (2021)
Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. ICDE (2021)
Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning. CIKM (2021)
Ziniu Wu, Harold Rockwell, Yimeng Zhang, Shiming Tang, Tai Sing Lee
Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons. PLoS Comput. Biol. 17 (10) (2021)
Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. Proc. VLDB Endow. 14 (9) (2021)
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
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. CoRR (2021)
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
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. Proc. VLDB Endow. 15 (4) (2021)
Ziniu Wu, Amir Shaikhha
BayesCard: A Unified Bayesian Framework for Cardinality Estimation. CoRR (2020)
Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. CoRR (2020)
Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou
FSPN: A New Class of Probabilistic Graphical Model. CoRR (2020)
Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. CoRR (2020)