EDBT 2026 Demo / reviewers in the wild / expert
Mingyi Cao
dblp:418/3593
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0007-9646-764XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Efficient and distributed learning · 57% Graph learning · 43% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Cloud and datacenter computing · 77% High-performance computing · 23% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
distributed training |
1.7 | 2 | 2025 | NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments · Proc. VLDB Endow. 2025 NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters · Proc. ACM Manag. Data 2025 |
Machine learning › Graph learning › graph neural network training
distributed GNN training |
0.9 | 1 | 2025 | NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments · Proc. VLDB Endow. 2025 |
Machine learning › Efficient and distributed learning › distributed training › distributed DNN training
distributed graph neural network training |
0.9 | 1 | 2025 | NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters · Proc. ACM Manag. Data 2025 |
Machine learning › Graph learning
graph neural network |
0.9 | 1 | 2025 | NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters · Proc. ACM Manag. Data 2025 |
Cloud and datacenter computing › resource management
cloud resource management |
0.9 | 1 | 2025 | NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments · Proc. VLDB Endow. 2025 |
Machine learning › Graph learning
graph neural network training |
0.3 | 1 | 2025 | NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments · Proc. VLDB Endow. 2025 |
High-performance computing › cluster computing
heterogeneous clusters |
0.3 | 1 | 2025 | NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters · Proc. ACM Manag. Data 2025 |
Methods — techniques the papers use, named apart from their topics
resource-aware scheduling · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters
Chunyu Cao, Xin Ai 0006, Qiange Wang, Yanfeng Zhang 0001, Zhenbo Fu, Mingyi Cao, Chaoyi Chen, Yingyou Wen, Yu Gu 0002, Ge Yu 0001 |
Proc. ACM Manag. Data | 7 |
| 2025 | NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments
Mingyi Cao, Chunyu Cao, Yanfeng Zhang 0001, Zhenbo Fu, Xin Ai 0006, Qiange Wang, Yu Gu 0002, Ge Yu 0001 |
Proc. VLDB Endow. | 1 |