Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhengxu Xia
dblp:229/1943
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 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
2 papers |
Edge and fog computing · 46% Internet architecture and protocols · 23% Network optimization and economics · 23% | |
| Artificial intelligence
1 paper |
Efficient and distributed learning · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Edge and fog computing
continuous learning |
0.6 | 1 | 2022 | Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers · NSDI 2022 |
Internet architecture and protocols
network adaptation |
0.6 | 1 | 2022 | Genet: automatic curriculum generation for learning adaptation in networking · SIGCOMM 2022 |
Network optimization and economics
network optimization |
0.6 | 1 | 2022 | Genet: automatic curriculum generation for learning adaptation in networking · SIGCOMM 2022 |
Edge and fog computing
video analytics |
0.6 | 1 | 2022 | Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers · NSDI 2022 |
Machine learning › Efficient and distributed learning
distributed training |
0.2 | 1 | 2022 | Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers · NSDI 2022 |
Methods — techniques the papers use, named apart from their topics
video analytics · 1.1model retraining · 1.1deep reinforcement learning · 0.6curriculum learning · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica |
NSDI | 2 |
| 2022 | Genet: automatic curriculum generation for learning adaptation in networkingabstractAs deep reinforcement learning (RL) showcases its strengths in networking, its pitfalls are also coming to the public's attention. Training on a wide range of network environments leads to suboptimal performance, whereas training on a narrow distribution of environments results in poor generalization. Zhengxu Xia, Francis Y. Yan, Junchen Jiang |
SIGCOMM | 1 |
| 2021 | Towards Performance Clarity of Edge Video Analytics
Zhujun Xiao, Zhengxu Xia, Haitao Zheng 0001, Ben Y. Zhao, Junchen Jiang |
SEC | 2 |