Demo Data from EDBT 2026 / reviewers in the wild / expert
Yinchuan Cong
dblp:388/9985
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0001-5487-2814ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 since 2021Security and privacy · 1 · 1 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 networks
1 paper |
Network measurement and analytics · 39% Software-defined and programmable networks · 30% Internet architecture and protocols · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols › packet processing
network processor |
0.8 | 1 | 2024 | Per-Packet Traffic Measurement in Storage, Computation and Bandwidth Limited Data Plane · IEEE/ACM Trans. Netw. 2024 |
Software-defined and programmable networks
programmable data plane |
0.8 | 1 | 2024 | Per-Packet Traffic Measurement in Storage, Computation and Bandwidth Limited Data Plane · IEEE/ACM Trans. Netw. 2024 |
Network measurement and analytics › network telemetry
data plane measurement |
0.2 | 1 | 2024 | Per-Packet Traffic Measurement in Storage, Computation and Bandwidth Limited Data Plane · IEEE/ACM Trans. Netw. 2024 |
Methods — techniques the papers use, named apart from their topics
p4 · 0.8compression algorithms · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Low Energy Consumption Hierarchical Federated Learning
Shengaocheng Zhang, Jigang Wen, Xiaofan Zhou, Kun Xie 0001, Yinchuan Cong, Tianxiong Liu |
SecureComm (5) | 5 |
| 2024 | Per-Packet Traffic Measurement in Storage, Computation and Bandwidth Limited Data PlaneabstractPacket level measurement in the data plane provides a microscopic view of the network’s state. Although advances in programmable switches and routers make it possible to measure the Sequence of Packet Lengths and Arrival Times (SPLT) in the data plane, collecting this information remains challenging due to limited storage, processing resources, and bandwidth. To address this issue, we propose MES, which Measures and Encodes Simultaneously the packet length and timestamp when each packet passes through the Network Processor (NP) in the switch/router. We design the packet length compression and timestamp compression algorithms to be lightweight and implement the designed algorithms using simple operations supported by the network processor, while taking into account the computation constraints of the NP. Through extensive experiments on five packet traces, we demonstrate that our MES achieves high precision SPLT measurements (up to 99.82% cosine similarity) while reducing storage and bandwidth overhead by up to 87%. Simulations conducted on the BMV2 P4 software switch demonstrate that our designed SPLT measurement mechanism imposes little impact on network throughput and delay. Yinchuan Cong, Kun Xie 0001, Jigang Wen, Jiwei Zhang 0018, Yansong Yin, Gaogang Xie, Wei Liang 0005 |
IEEE/ACM Trans. Netw. | 1 |