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Shangyu Luo
- Author ID
- u1192
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Rice University
- Pagerank
- 0.078123529
- Overall Rank
- 930 | 95.72%
- Paper Count
- 10
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 10 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 2,407 |
Declarative Recursive Computation on an RDBMS or, Why You Should Use a Database For Distributed Machine Learning |
2019 |
VLDB |
22 |
8.4928721e-05 |
| 3,331 |
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning |
2017 |
CIDR |
15 |
7.4065701e-05 |
| 3,577 |
A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms |
2014 |
SIGMOD |
7 |
7.1748186e-05 |
| 5,157 |
ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency |
2022 |
VLDB |
19 |
6.2362793e-05 |
| 5,505 |
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra |
2021 |
SIGMOD |
7 |
6.0884328e-05 |
| 6,159 |
The BUDS Language for Distributed Bayesian Machine Learning |
2017 |
SIGMOD |
5 |
5.851731e-05 |
| 9,785 |
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development |
2018 |
SIGMOD |
9 |
5.115551e-05 |
| 10,064 |
Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees |
2021 |
VLDB |
3 |
5.0751093e-05 |
| 10,109 |
veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System |
2025 |
VLDB |
2 |
5.0672857e-05 |
| 10,334 |
AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators |
2025 |
VLDB |
3 |
5.0225409e-05 |
Frequent Co-authors
Co-authored at least 5 papers.