Back to authors
Yanyan Shen
- Author ID
- o0000-0001-8364-3674
- ORCID
-
0000-0001-8364-3674
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Shanghai Jiao Tong University
- Pagerank
- 0.19478067
- Overall Rank
- 303 | 98.61%
- 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 |
| 1,134 |
SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks |
2022 |
VLDB |
30 |
0.0001188789 |
| 1,265 |
CDAS: A Crowdsourcing Data Analytics System |
2012 |
VLDB |
26 |
0.00011277921 |
| 1,273 |
Discovering Queries based on Example Tuples |
2014 |
SIGMOD |
25 |
0.00011243661 |
| 2,175 |
Efficient Processing of k Nearest Neighbor Joins using MapReduce |
2012 |
VLDB |
17 |
8.918268e-05 |
| 2,506 |
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU |
2023 |
SIGMOD |
18 |
8.3735089e-05 |
| 3,018 |
Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank |
2023 |
VLDB |
20 |
7.743467e-05 |
| 3,286 |
Camel: Managing Data for Efficient Stream Learning |
2022 |
SIGMOD |
8 |
7.4524975e-05 |
| 3,399 |
Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees |
2023 |
SIGMOD |
15 |
7.3314353e-05 |
| 3,701 |
Stable Learned Bloom Filters for Data Streams |
2020 |
VLDB |
13 |
7.0820503e-05 |
| 4,767 |
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs |
2024 |
VLDB |
13 |
6.4245781e-05 |
| 6,168 |
Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving |
2025 |
SIGMOD |
3 |
5.8603375e-05 |
| 6,673 |
Efficient Training of Graph Neural Networks on Large Graphs |
2024 |
VLDB |
5 |
5.7120259e-05 |
| 6,831 |
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement |
2024 |
SIGMOD |
9 |
5.6673474e-05 |
| 7,062 |
Fast Failure Recovery in Distributed Graph Processing Systems |
2015 |
VLDB |
3 |
5.6079605e-05 |
| 8,032 |
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database |
2025 |
CIDR |
13 |
5.4017794e-05 |
| 8,141 |
DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web |
2015 |
VLDB |
3 |
5.3902593e-05 |
| 8,955 |
HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle |
2022 |
SIGMOD |
5 |
5.2508006e-05 |
| 10,018 |
ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program Reuse |
2022 |
VLDB |
3 |
5.0947732e-05 |
| 10,442 |
CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 10,716 |
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,767 |
Mil: Cost-guided Minimum Makespan Scheduling for Applications of Multiple LLMs |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,846 |
HEXA: A Disjoint-Subgraph-Based Indexing Framework for Approximate Nearest Neighbor Search at Billion Scale |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 11,368 |
Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation |
2025 |
VLDB |
1 |
4.9769913e-05 |
| 11,725 |
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation |
2023 |
SIGMOD |
1 |
4.9769913e-05 |
| 13,676 |
STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically |
2024 |
SIGMOD |
3 |
- |
Frequent Co-authors
Co-authored at least 5 papers.