Ziniu Wu
Ziniu Wu
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
Y Han*, Z Wu*, P Wu, R Zhu, J Yang, LW Tan, K Zeng, G Cong, Y Qin, ...
Proceedings of the VLDB Endowment 15 (2150-8097), 752-765, 2021
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation
R Zhu*, Z Wu*, Y Han, K Zeng, A Pfadler, Z Qian, J Zhou, B Cui
Proceedings of the VLDB Endowment 14 (2150-8097), 1489 - 1502, 2020
Bayescard: Revitilizing bayesian frameworks for cardinality estimation
Z Wu, A Shaikhha, R Zhu, K Zeng, Y Han, J Zhou
arXiv preprint arXiv:2012.14743, 2020
A Unified Transferable Model for ML-Enhanced DBMS
Z Wu, P Yang, P Yu, R Zhu, Y Han, Y Li, D Lian, K Zeng, J Zhou
Conference on Innovative Data Systems Research (CIDR), 2021
Robust query driven cardinality estimation under changing workloads
P Negi, Z Wu, A Kipf, N Tatbul, R Marcus, S Madden, T Kraska, ...
Proceedings of the VLDB Endowment 16 (6), 1520-1533, 2023
Lero: A learning-to-rank query optimizer
R Zhu, W Chen, B Ding, X Chen, A Pfadler, Z Wu, J Zhou
Proceedings of the VLDB Endowment 16 (6), 1466-1479, 2023
Efficient and scalable structure learning for bayesian networks: Algorithms and applications
R Zhu, A Pfadler, Z Wu, Y Han, X Yang, F Ye, Z Qian, J Zhou, B Cui
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2613-2624, 2021
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning
Z Xu, S Liu, Z Wu, X Chen, K Zeng, K Zheng, H Su
ACM International Conference on Information and Knowledge Management, 2021
FactorJoin: A New Cardinality Estimation Framework for Join Queries
Z Wu, P Negi, M Alizadeh, T Kraska, S Madden
SIGMOD 2023, 2022
FSPN: A New Class of Probabilistic Graphical Model
Z Wu, R Zhu, A Pfadler, Y Han, J Li, Z Qian, K Zeng, J Zhou
arXiv preprint arXiv:2011.09020, 2020
Learned Query Optimizer: At the Forefront of AI-Driven Databases.
R Zhu, Z Wu, C Chai, A Pfadler, B Ding, G Li, J Zhou
EDBT, 1-4, 2022
Check out the big brain on BRAD: simplifying cloud data processing with learned automated data meshes
T Kraska, T Li, S Madden, M Markakis, A Ngom, Z Wu, GX Yu
Proceedings of the VLDB Endowment 16 (11), 3293-3301, 2023
HeGA: heterogeneous graph aggregation network for trajectory prediction in high-density traffic
S Liu, X Chen, Z Wu, L Deng, H Su, K Zheng
Proceedings of the 31st ACM International Conference on Information …, 2022
Extract-transform-load for video streams
F Kossmann, Z Wu, E Lai, N Tatbul, L Cao, T Kraska, S Madden
arXiv preprint arXiv:2310.04830, 2023
Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons
Z Wu, H Rockwell, Y Zhang, S Tang, TS Lee
PLoS computational biology 17 (10), e1009528, 2021
Stage: Query Execution Time Prediction in Amazon Redshift
Z Wu, R Marcus, Z Liu, P Negi, V Nathan, P Pfeil, G Saxena, M Rahman, ...
arXiv preprint arXiv:2403.02286, 2024
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Artikkelit 1–16