Ziniu Wu

According to our database, Ziniu Wu authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stage: Query Execution Time Prediction in Amazon Redshift.

Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska

CoRR, 2024

2023

Lero: A Learning-to-Rank Query Optimizer.

Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou

Proc. VLDB Endow., 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

Proc. VLDB Endow., 2023

Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes.

Tim Kraska, Tianyu Li, Samuel Madden, Markos Markakis, Amadou Ngom, Ziniu Wu, Geoffrey X. Yu

Proc. VLDB Endow., 2023

Extract-Transform-Load for Video Streams.

Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden

Proc. VLDB Endow., 2023

FactorJoin: A New Cardinality Estimation Framework for Join Queries.

Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden

Proc. ACM Manag. Data, 2023

2022

Connect Your UAV to the Cloud Using Urban 4G and 5G Cellular Networks: Performance Evaluation and Comparison.

Dawei Liu, Qiwen Chen, Shuchang Li, Ziniu Wu, Liqi Chen, Xu He, Xin Huang, Wei Wang

IEEE Internet Things Mag., 2022

Learned Query Optimizer: At the Forefront of AI-Driven Databases.

Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou

Proceedings of the 25th International Conference on Extending Database Technology, 2022

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic.

Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Unified Transferable Model for ML-Enhanced DBMS.

Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

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

Proc. VLDB Endow., 2021

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

Proc. VLDB Endow., 2021

Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons.

Ziniu Wu, Harold Rockwell, Yimeng Zhang, Shiming Tang, Tai Sing Lee

PLoS Comput. Biol., 2021

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

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning.

Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

BayesCard: A Unified Bayesian Framework for Cardinality Estimation.

Ziniu Wu, Amir Shaikhha

CoRR, 2020

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