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Ziniu Wu
- Author ID
- u2025
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Massachusetts Institute of Technology
- Pagerank
- 0.10693234
- Overall Rank
- 630 | 97.10%
- Paper Count
- 13
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing all 13 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 983 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
80 |
0.00012677179 |
| 2,009 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
51 |
9.1813272e-05 |
| 2,190 |
Lero: A Learning-to-Rank Query Optimizer |
2023 |
VLDB |
42 |
8.8848923e-05 |
| 2,852 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
35 |
7.9201312e-05 |
| 3,269 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
38 |
7.463682e-05 |
| 4,833 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
23 |
6.3834856e-05 |
| 6,402 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
13 |
5.7800842e-05 |
| 6,561 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
9 |
5.7288224e-05 |
| 7,363 |
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD |
2024 |
VLDB |
7 |
5.5279826e-05 |
| 9,011 |
Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries |
2025 |
VLDB |
3 |
5.2238303e-05 |
| 9,143 |
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes |
2023 |
VLDB |
6 |
5.2074327e-05 |
| 11,139 |
KEN: An Execution Engine for Unstructured Database Systems |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,238 |
Virtualizing Cloud Data Infrastructures with BRAD |
2025 |
SIGMOD |
0 |
4.9605343e-05 |
Frequent Co-authors
Co-authored at least 5 papers.