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Kwanghyun Park
- Author ID
- o0000-0003-0757-2725
- ORCID
-
0000-0003-0757-2725
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.10364503
- Overall Rank
- 650 | 97.00%
- Paper Count
- 12
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 12 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 896 |
Froid: Optimization of Imperative Programs in a Relational Database |
2018 |
VLDB |
47 |
0.00013203085 |
| 1,139 |
Query Processing on Smart SSDs: Opportunities and Challenges |
2013 |
SIGMOD |
26 |
0.0001185547 |
| 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 |
| 2,661 |
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 |
| 4,257 |
BlackMagic: Automatic Inlining of Scalar UDFs into SQL Queries with Froid |
2019 |
VLDB |
9 |
6.6976163e-05 |
| 4,990 |
Optimizing Databases by Learning Hidden Parameters of Solid State Drives |
2020 |
VLDB |
6 |
6.3233984e-05 |
| 5,774 |
Optimizing Data Pipelines for Machine Learning in Feature Stores |
2023 |
VLDB |
4 |
5.9959266e-05 |
| 9,311 |
VIP Hashing - Adapting to Skew in Popularity of Data on the Fly |
2022 |
VLDB |
3 |
5.1955151e-05 |
| 10,447 |
DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,551 |
SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs |
2024 |
SIGMOD |
0 |
4.9769913e-05 |
Frequent Co-authors
Co-authored at least 5 papers.