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Matteo Interlandi
- Author ID
- u1534
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.2157546
- Overall Rank
- 262 | 98.79%
- Paper Count
- 27
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 27 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 1,564 |
Titian: Data Provenance Support in Spark |
2016 |
VLDB |
23 |
0.00010219222 |
| 1,920 |
QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques |
2013 |
VLDB |
6 |
9.3737796e-05 |
| 2,184 |
Extending Relational Query Processing with ML Inference |
2020 |
CIDR |
31 |
8.8953085e-05 |
| 2,460 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
32 |
8.4308406e-05 |
| 2,636 |
Big Data Analytics with Datalog Queries on Spark |
2016 |
SIGMOD |
23 |
8.1926426e-05 |
| 2,661 |
End-to-end Optimization of Machine Learning Prediction Queries |
2022 |
SIGMOD |
25 |
8.1568473e-05 |
| 3,685 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
17 |
7.0972826e-05 |
| 3,948 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
16 |
6.9051584e-05 |
| 3,955 |
Tensors: An abstraction for general data processing |
2021 |
VLDB |
20 |
6.8994712e-05 |
| 4,484 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
19 |
6.5776765e-05 |
| 4,638 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
13 |
6.4901967e-05 |
| 5,110 |
Steering Query Optimizers: A Practical Take on Big Data Workloads |
2021 |
SIGMOD |
22 |
6.2678118e-05 |
| 5,696 |
Debugging Big Data Analytics in Spark with BigDebug |
2017 |
SIGMOD |
3 |
6.030237e-05 |
| 5,774 |
Optimizing Data Pipelines for Machine Learning in Feature Stores |
2023 |
VLDB |
4 |
5.9959266e-05 |
| 5,778 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
10 |
5.9953658e-05 |
| 5,991 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
7 |
5.9219616e-05 |
| 7,813 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
3 |
5.4474823e-05 |
| 7,873 |
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model |
2022 |
VLDB |
4 |
5.4339503e-05 |
| 8,280 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
8 |
5.3616863e-05 |
| 8,357 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
7 |
5.3463255e-05 |
| 9,367 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
8 |
5.1845217e-05 |
| 9,835 |
Transforming ML Predictive Pipelines into SQL with MASQ |
2021 |
SIGMOD |
3 |
5.1225987e-05 |
| 9,870 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
2 |
5.115241e-05 |
| 10,025 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
10 |
5.091949e-05 |
| 10,733 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,914 |
ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs |
2026 |
VLDB |
1 |
4.9769913e-05 |
| 10,932 |
TQP++: Bridging ML Compilers and Analytical Query Processing on GPUs |
2026 |
VLDB |
0 |
4.9769913e-05 |
Frequent Co-authors
Co-authored at least 5 papers.