VLDB 2026 Research / reviewers in the wild / expert
Qingchun Song
dblp:356/9428
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2026
0009-0001-7360-1013ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 3 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.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Cloud and datacenter computing · 44% Distributed systems · 34% Hardware accelerators and domain-specific architectures · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › data aggregation
in-network aggregation |
1.9 | 2 | 2026 | Fine-Grained Scheduling of In-Network Aggregation Resources for Efficient Machine Learning Service · IEEE Trans. Netw. 2026 Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service · INFOCOM 2025 |
Hardware accelerators and domain-specific architectures
machine learning accelerator |
1.3 | 2 | 2026 | Fine-Grained Scheduling of In-Network Aggregation Resources for Efficient Machine Learning Service · IEEE Trans. Netw. 2026 Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service · INFOCOM 2025 |
Cloud and datacenter computing › cluster resource management and scheduling
resource scheduling |
1.0 | 1 | 2026 | Fine-Grained Scheduling of In-Network Aggregation Resources for Efficient Machine Learning Service · IEEE Trans. Netw. 2026 |
Cloud and datacenter computing
cluster resource management and scheduling |
0.9 | 1 | 2025 | Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service · INFOCOM 2025 |
Cloud and datacenter computing
machine learning as a service |
0.6 | 2 | 2026 | Fine-Grained Scheduling of In-Network Aggregation Resources for Efficient Machine Learning Service · IEEE Trans. Netw. 2026 Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service · INFOCOM 2025 |
Methods — techniques the papers use, named apart from their topics
in-network aggregation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Fine-Grained Scheduling of In-Network Aggregation Resources for Efficient Machine Learning Service
Shichen Dong, Zhixiong Niu, Mingchao Zhang, Zhiying Xu, Chuntao Hu, Pengzhi Zhu, Qingchun Song, Peng Cheng 0005, Cam-Tu Nguyen, Shaoling Sun, Xiaohu Xu, Yongqiang Xiong, Wei Wang 0002, Xiaoliang Wang 0001, Guihai Chen |
IEEE Trans. Netw. | 7 |
| 2025 | Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service
Shichen Dong, Zhixiong Niu, Mingchao Zhang, Zhiying Xu, Chuntao Hu, Pengzhi Zhu, Qingchun Song, Peng Cheng 0005, Cam-Tu Nguyen, Shaoling Sun, Xiaohu Xu, Yongqiang Xiong, Wei Wang 0002, Xiaoliang Wang 0001 |
INFOCOM | 7 |
| 2023 | MINA: Auto-scale In-network Aggregation for Machine Learning Service
Shichen Dong, Zhixiong Niu, Mingchao Zhang, Zhiying Xu, Chuntao Hu, Wei Wang 0002, Pengzhi Zhu, Qingchun Song, Peng Cheng 0005, Yongqiang Xiong, Chen Tian 0001, Cam-Tu Nguyen, Xiaoliang Wang 0001 |
APNet | 8 |