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Yingxia Shao
- Author ID
- u15708
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Beijing Institute of Technology
- Pagerank
- 0.19372062
- Overall Rank
- 305 | 98.60%
- Paper Count
- 24
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 24 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 1,042 |
Parallel Subgraph Listing in a Large-Scale Graph |
2014 |
SIGMOD |
32 |
0.00012331317 |
| 1,134 |
SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks |
2022 |
VLDB |
30 |
0.0001188789 |
| 2,010 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning |
2021 |
SIGMOD |
14 |
9.1945893e-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 |
| 2,724 |
Exploiting Matrix Dependency for Efficient Distributed Matrix Computation |
2015 |
SIGMOD |
12 |
8.090674e-05 |
| 4,304 |
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs |
2015 |
VLDB |
10 |
6.67405e-05 |
| 4,758 |
Efficient Cohesive Subgraphs Detection in Parallel |
2014 |
SIGMOD |
7 |
6.4293075e-05 |
| 4,767 |
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs |
2024 |
VLDB |
13 |
6.4245781e-05 |
| 4,781 |
Tornado: A System For Real-Time Iterative Analysis Over Evolving Data |
2016 |
SIGMOD |
9 |
6.4154314e-05 |
| 4,827 |
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning |
2024 |
VLDB |
13 |
6.3893293e-05 |
| 4,965 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
14 |
6.3354086e-05 |
| 5,437 |
PS2: Parameter Server on Spark |
2019 |
SIGMOD |
8 |
6.1279659e-05 |
| 5,724 |
An Experimental Evaluation of Large Scale GBDT Systems |
2019 |
VLDB |
8 |
6.0150027e-05 |
| 6,305 |
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs |
2020 |
SIGMOD |
5 |
5.8161222e-05 |
| 6,678 |
Reliable Data Distillation on Graph Convolutional Network |
2020 |
SIGMOD |
9 |
5.7098648e-05 |
| 6,757 |
An Experimental Evaluation of SimRank-based Similarity Search Algorithms |
2017 |
VLDB |
4 |
5.6879037e-05 |
| 6,831 |
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement |
2024 |
SIGMOD |
9 |
5.6673474e-05 |
| 7,260 |
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs |
2022 |
VLDB |
3 |
5.5695153e-05 |
| 9,705 |
Experimental Analysis of Large-scale Learnable Vector Storage Compression |
2024 |
VLDB |
4 |
5.1357625e-05 |
| 10,089 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
2 |
5.0806786e-05 |
| 10,716 |
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,929 |
CoeusBI: A Comprehensive Interactive Business Intelligence System Powered by LLMs at Baidu |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 11,418 |
DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 12,302 |
LDA*: A Robust and Large-scale Topic Modeling System |
2017 |
VLDB |
5 |
4.9769913e-05 |
Frequent Co-authors
Co-authored at least 5 papers.