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Yanyan Shen
- Author ID
- 2555
- ORCID
-
0000-0001-8364-3674
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Shanghai Jiao Tong University
- Pagerank
- 0.18148593
- Overall Rank
- 328 | 98.45%
- Paper Count
- 23
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 23 of 23 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 1,132 |
SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks |
2022 |
VLDB |
0.00012041292 |
| 1,262 |
Discovering Queries based on Example Tuples |
2014 |
SIGMOD |
0.00011427456 |
| 1,270 |
CDAS: A Crowdsourcing Data Analytics System |
2012 |
VLDB |
0.00011388453 |
| 2,137 |
Efficient Processing of k Nearest Neighbor Joins using MapReduce |
2012 |
VLDB |
9.110238e-05 |
| 2,668 |
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU |
2023 |
SIGMOD |
8.2750247e-05 |
| 3,210 |
Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank |
2023 |
VLDB |
7.6352864e-05 |
| 3,221 |
Camel: Managing Data for Efficient Stream Learning |
2022 |
SIGMOD |
7.6271601e-05 |
| 3,634 |
Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees |
2023 |
SIGMOD |
7.2358691e-05 |
| 4,073 |
Stable Learned Bloom Filters for Data Streams |
2020 |
VLDB |
6.9242783e-05 |
| 5,205 |
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs |
2024 |
VLDB |
6.318626e-05 |
| 6,630 |
Efficient Training of Graph Neural Networks on Large Graphs |
2024 |
VLDB |
5.8192133e-05 |
| 6,730 |
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement |
2024 |
SIGMOD |
5.7895038e-05 |
| 6,900 |
Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving |
2025 |
SIGMOD |
5.7430032e-05 |
| 7,218 |
Fast Failure Recovery in Distributed Graph Processing Systems |
2015 |
VLDB |
5.6683391e-05 |
| 7,969 |
DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web |
2015 |
VLDB |
5.5165897e-05 |
| 8,221 |
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database |
2025 |
CIDR |
5.4640314e-05 |
| 8,791 |
HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle |
2022 |
SIGMOD |
5.3717005e-05 |
| 9,826 |
ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program Reuse |
2022 |
VLDB |
5.2141422e-05 |
| 10,214 |
CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation |
2026 |
SIGMOD |
5.093636e-05 |
| 10,521 |
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling |
2026 |
VLDB |
5.093636e-05 |
| 10,975 |
Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation |
2025 |
VLDB |
5.093636e-05 |
| 11,404 |
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation |
2023 |
SIGMOD |
5.093636e-05 |
| 13,354 |
STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically |
2024 |
SIGMOD |
- |
Frequent Co-authors
Co-authored at least 5 papers.