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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
- 0.19365245
- Overall Rank
- 306 | 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 |
| 1,046 |
Parallel Subgraph Listing in a Large-Scale Graph |
2014 |
SIGMOD |
32 |
0.00012315969 |
| 1,047 |
SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks |
2022 |
VLDB |
31 |
0.00012313386 |
| 2,020 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning |
2021 |
SIGMOD |
14 |
9.1641863e-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 |
| 2,720 |
Exploiting Matrix Dependency for Efficient Distributed Matrix Computation |
2015 |
SIGMOD |
12 |
8.0778267e-05 |
| 4,320 |
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs |
2015 |
VLDB |
10 |
6.6519974e-05 |
| 4,731 |
Efficient Cohesive Subgraphs Detection in Parallel |
2014 |
SIGMOD |
7 |
6.4313179e-05 |
| 4,785 |
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs |
2024 |
VLDB |
13 |
6.4033344e-05 |
| 4,800 |
Tornado: A System For Real-Time Iterative Analysis Over Evolving Data |
2016 |
SIGMOD |
9 |
6.3942642e-05 |
| 4,850 |
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning |
2024 |
VLDB |
13 |
6.3682022e-05 |
| 4,961 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
14 |
6.3246342e-05 |
| 5,454 |
PS2: Parameter Server on Spark |
2019 |
SIGMOD |
8 |
6.1077156e-05 |
| 5,738 |
An Experimental Evaluation of Large Scale GBDT Systems |
2019 |
VLDB |
8 |
5.9951855e-05 |
| 6,315 |
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs |
2020 |
SIGMOD |
5 |
5.7968933e-05 |
| 6,693 |
Reliable Data Distillation on Graph Convolutional Network |
2020 |
SIGMOD |
9 |
5.6909845e-05 |
| 6,776 |
An Experimental Evaluation of SimRank-based Similarity Search Algorithms |
2017 |
VLDB |
4 |
5.6690965e-05 |
| 6,849 |
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement |
2024 |
SIGMOD |
9 |
5.6488938e-05 |
| 7,279 |
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs |
2022 |
VLDB |
3 |
5.551099e-05 |
| 9,737 |
Experimental Analysis of Large-scale Learnable Vector Storage Compression |
2024 |
VLDB |
4 |
5.1187805e-05 |
| 10,123 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
2 |
5.0638787e-05 |
| 10,777 |
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 10,990 |
CoeusBI: A Comprehensive Interactive Business Intelligence System Powered by LLMs at Baidu |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,471 |
DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 12,345 |
LDA*: A Robust and Large-scale Topic Modeling System |
2017 |
VLDB |
5 |
4.9605343e-05 |
Frequent Co-authors
Co-authored at least 5 papers.