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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
- 0.19500893
- 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 |
| 1,047 |
SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks |
2022 |
VLDB |
31 |
0.00012313386 |
| 1,267 |
CDAS: A Crowdsourcing Data Analytics System |
2012 |
VLDB |
26 |
0.00011253716 |
| 1,275 |
Discovering Queries based on Example Tuples |
2014 |
SIGMOD |
25 |
0.00011213614 |
| 2,183 |
Efficient Processing of k Nearest Neighbor Joins using MapReduce |
2012 |
VLDB |
17 |
8.8973287e-05 |
| 2,513 |
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU |
2023 |
SIGMOD |
18 |
8.3467757e-05 |
| 3,027 |
Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank |
2023 |
VLDB |
20 |
7.7178623e-05 |
| 3,298 |
Camel: Managing Data for Efficient Stream Learning |
2022 |
SIGMOD |
8 |
7.4278549e-05 |
| 3,411 |
Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees |
2023 |
SIGMOD |
15 |
7.3074792e-05 |
| 3,709 |
Stable Learned Bloom Filters for Data Streams |
2020 |
VLDB |
13 |
7.0586477e-05 |
| 4,785 |
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs |
2024 |
VLDB |
13 |
6.4033344e-05 |
| 4,910 |
Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving |
2025 |
SIGMOD |
4 |
6.3468554e-05 |
| 6,686 |
Efficient Training of Graph Neural Networks on Large Graphs |
2024 |
VLDB |
5 |
5.6931383e-05 |
| 6,849 |
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement |
2024 |
SIGMOD |
9 |
5.6488938e-05 |
| 7,082 |
Fast Failure Recovery in Distributed Graph Processing Systems |
2015 |
VLDB |
3 |
5.5894172e-05 |
| 8,050 |
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database |
2025 |
CIDR |
13 |
5.3839177e-05 |
| 8,159 |
DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web |
2015 |
VLDB |
3 |
5.3724358e-05 |
| 8,978 |
HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle |
2022 |
SIGMOD |
5 |
5.2334381e-05 |
| 10,054 |
ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program Reuse |
2022 |
VLDB |
3 |
5.0779982e-05 |
| 10,508 |
CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,777 |
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 10,828 |
Mil: Cost-guided Minimum Makespan Scheduling for Applications of Multiple LLMs |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 10,907 |
HEXA: A Disjoint-Subgraph-Based Indexing Framework for Approximate Nearest Neighbor Search at Billion Scale |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,421 |
Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation |
2025 |
VLDB |
1 |
4.9605343e-05 |
| 11,771 |
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation |
2023 |
SIGMOD |
1 |
4.9605343e-05 |
| 13,716 |
STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically |
2024 |
SIGMOD |
3 |
- |
Frequent Co-authors
Co-authored at least 5 papers.