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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
- 0.1067051
- Overall Rank
- 630 | 97.09%
- 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 |
| 981 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
80 |
0.00012713454 |
| 2,002 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
51 |
9.2076835e-05 |
| 2,209 |
Lero: A Learning-to-Rank Query Optimizer |
2023 |
VLDB |
41 |
8.8360101e-05 |
| 2,844 |
FactorJoin: A New Cardinality Estimation Framework for Join Queries |
2023 |
SIGMOD |
35 |
7.9446987e-05 |
| 3,327 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
37 |
7.4233639e-05 |
| 5,216 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
21 |
6.2218868e-05 |
| 6,408 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
13 |
5.7921918e-05 |
| 6,586 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
9 |
5.741099e-05 |
| 7,869 |
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD |
2024 |
VLDB |
6 |
5.4342182e-05 |
| 9,124 |
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes |
2023 |
VLDB |
6 |
5.2247088e-05 |
| 10,152 |
Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries |
2025 |
VLDB |
1 |
5.0691578e-05 |
| 11,078 |
KEN: An Execution Engine for Unstructured Database Systems |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 11,179 |
Virtualizing Cloud Data Infrastructures with BRAD |
2025 |
SIGMOD |
0 |
4.9769913e-05 |
Frequent Co-authors
Co-authored at least 5 papers.