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Yuanyuan Tian
- Author ID
- o0000-0002-6835-8434
- ORCID
-
0000-0002-6835-8434
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- IBM
- Pagerank
- 0.21376898
- Overall Rank
- 266 | 98.78%
- Paper Count
- 25
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 25 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 486 |
From "Think Like a Vertex" to "Think Like a Graph" |
2014 |
VLDB |
43 |
0.00017462718 |
| 499 |
Efficient Aggregation for Graph Summarization |
2008 |
SIGMOD |
30 |
0.00017292147 |
| 799 |
A Comparison of Join Algorithms for Log Processing in MapReduce |
2010 |
SIGMOD |
33 |
0.00013839554 |
| 1,083 |
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML |
2014 |
VLDB |
36 |
0.00012089325 |
| 1,327 |
Hybrid Transactional/Analytical Processing: A Survey |
2017 |
SIGMOD |
30 |
0.00011014905 |
| 2,249 |
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations |
2019 |
SIGMOD |
18 |
8.7479608e-05 |
| 2,699 |
CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop |
2011 |
VLDB |
16 |
8.100024e-05 |
| 3,625 |
Db2 Event Store: A Purpose-Built IoT Database Engine |
2020 |
VLDB |
10 |
7.1334017e-05 |
| 3,788 |
Evolving Databases for New-Gen Big Data Applications |
2017 |
CIDR |
10 |
6.9993946e-05 |
| 4,134 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
14 |
6.7721426e-05 |
| 4,172 |
Wildfire: Concurrent Blazing Data Ingest and Analytics |
2016 |
SIGMOD |
9 |
6.7509765e-05 |
| 5,793 |
Optimizing Data Pipelines for Machine Learning in Feature Stores |
2023 |
VLDB |
4 |
5.9761004e-05 |
| 5,844 |
IBM Db2 Graph: Supporting Synergistic and Retrofittable Graph Queries Inside IBM Db2 |
2020 |
SIGMOD |
6 |
5.9557264e-05 |
| 6,536 |
Big Graph Analytics Systems |
2016 |
SIGMOD |
9 |
5.7354915e-05 |
| 6,590 |
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? |
2025 |
CIDR |
5 |
5.7233093e-05 |
| 7,162 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
6 |
5.5798063e-05 |
| 7,991 |
Periscope/GQ: A Graph Querying Toolkit |
2008 |
VLDB |
1 |
5.3949937e-05 |
| 8,372 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
7 |
5.3287108e-05 |
| 8,992 |
GEqO: ML-Accelerated Semantic Equivalence Detection |
2023 |
SIGMOD |
2 |
5.2295579e-05 |
| 9,370 |
Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare |
2020 |
CIDR |
1 |
5.1721076e-05 |
| 9,469 |
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud |
2024 |
VLDB |
5 |
5.1588001e-05 |
| 10,227 |
Synergistic Graph and SQL Analytics Inside IBM Db2 |
2019 |
VLDB |
2 |
5.0447997e-05 |
| 10,435 |
I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server |
2026 |
CIDR |
0 |
4.9605343e-05 |
| 11,025 |
How Out-of-Bounds Are Your Cardinality Estimates? |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 12,227 |
HERMIT in Action: Succinct Secondary Indexing Mechanism via Correlation Exploration |
2019 |
VLDB |
0 |
4.9605343e-05 |
Frequent Co-authors
Co-authored at least 5 papers.