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Yiwen Zhu
- Author ID
- 1666
- ORCID
-
0009-0005-6857-7505
- Links
-
(found by gpt-5.2 on feb 8th, 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.10479222
- Overall Rank
- 627 | 97.00%
- Paper Count
- 14
Affiliation Timeline
-
Microsoft
Most frequent
2020 - 2025
| 14 papers
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing 14 of 14 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 3,509 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
7.4227748e-05 |
| 6,092 |
Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud |
2022 |
VLDB |
6.0417656e-05 |
| 6,674 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
5.8659519e-05 |
| 6,825 |
KEA: Tuning an Exabyte-Scale Data Infrastructure |
2021 |
SIGMOD |
5.8197529e-05 |
| 7,635 |
Runtime Variation in Big Data Analytics |
2023 |
SIGMOD |
5.6361495e-05 |
| 8,066 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
5.5542266e-05 |
| 8,778 |
Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud |
2024 |
SIGMOD |
5.4311509e-05 |
| 9,091 |
Phoebe: A Learning-based Checkpoint Optimizer |
2021 |
VLDB |
5.3855277e-05 |
| 9,116 |
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud |
2024 |
VLDB |
5.3792636e-05 |
| 9,628 |
Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment |
2025 |
SIGMOD |
5.3018378e-05 |
| 9,820 |
Exploiting Structure in Regular Expression Queries |
2023 |
SIGMOD |
5.2648912e-05 |
| 10,802 |
Horizon: Robust Checks for SQL Migration Using LLMs |
2025 |
VLDB |
5.1725247e-05 |
| 10,969 |
Lorentz: Learned SKU Recommendation Using Profile Data (DMDS) |
2024 |
SIGMOD |
5.1725247e-05 |
| 11,014 |
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service |
2024 |
VLDB |
5.1725247e-05 |
Frequent Co-authors
Co-authored at least 5 papers.