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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
- 0.19375804
- 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 24 of 24 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 1,046 |
Parallel Subgraph Listing in a Large-Scale Graph |
2014 |
SIGMOD |
0.00012319866 |
| 1,134 |
SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks |
2022 |
VLDB |
0.00011893521 |
| 2,007 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning |
2021 |
SIGMOD |
9.198944e-05 |
| 2,506 |
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU |
2023 |
SIGMOD |
8.3774747e-05 |
| 2,723 |
Exploiting Matrix Dependency for Efficient Distributed Matrix Computation |
2015 |
SIGMOD |
8.0944934e-05 |
| 4,303 |
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs |
2015 |
VLDB |
6.6772109e-05 |
| 4,755 |
Efficient Cohesive Subgraphs Detection in Parallel |
2014 |
SIGMOD |
6.4323525e-05 |
| 4,764 |
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs |
2024 |
VLDB |
6.4276208e-05 |
| 4,777 |
Tornado: A System For Real-Time Iterative Analysis Over Evolving Data |
2016 |
SIGMOD |
6.4184698e-05 |
| 4,825 |
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning |
2024 |
VLDB |
6.3923554e-05 |
| 4,963 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
6.3384091e-05 |
| 5,433 |
PS2: Parameter Server on Spark |
2019 |
SIGMOD |
6.1308667e-05 |
| 5,723 |
An Experimental Evaluation of Large Scale GBDT Systems |
2019 |
VLDB |
6.0178515e-05 |
| 6,301 |
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs |
2020 |
SIGMOD |
5.8188746e-05 |
| 6,674 |
Reliable Data Distillation on Graph Convolutional Network |
2020 |
SIGMOD |
5.7125691e-05 |
| 6,752 |
An Experimental Evaluation of SimRank-based Similarity Search Algorithms |
2017 |
VLDB |
5.6905975e-05 |
| 6,826 |
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement |
2024 |
SIGMOD |
5.6700316e-05 |
| 7,263 |
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs |
2022 |
VLDB |
5.5711876e-05 |
| 9,700 |
Experimental Analysis of Large-scale Learnable Vector Storage Compression |
2024 |
VLDB |
5.1381949e-05 |
| 10,084 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
5.0830849e-05 |
| 10,706 |
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling |
2026 |
VLDB |
4.9793485e-05 |
| 10,920 |
CoeusBI: A Comprehensive Interactive Business Intelligence System Powered by LLMs at Baidu |
2026 |
VLDB |
4.9793485e-05 |
| 11,412 |
DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs |
2025 |
VLDB |
4.9793485e-05 |
| 12,296 |
LDA*: A Robust and Large-scale Topic Modeling System |
2017 |
VLDB |
4.9793485e-05 |
Frequent Co-authors
Co-authored at least 5 papers.