Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yanfei Gao
dblp:43/10877
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author
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 performance modeling · 44% Routing and switching · 44% Internet architecture and protocols · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling
queueing analysis |
0.1 | 1 | 2012 | Large Deviations for Re-Sequencing Buffer Size · IEEE Trans. Inf. Theory 2012 |
Routing and switching › switch architecture
resequencing buffer |
0.1 | 1 | 2012 | Large Deviations for Re-Sequencing Buffer Size · IEEE Trans. Inf. Theory 2012 |
Methods — techniques the papers use, named apart from their topics
m/m/1 queues · 0.1large deviation theory · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Large Deviations for Re-Sequencing Buffer SizeabstractIn-order delivery of packets is a key issue in data communication networks. Re-sequencing delay and re-sequencing buffer size are two important measures in design, performance and optimization. In this paper, a large deviation result is proved for the re-sequencing buffer, which is fed bymparallelM/M/1 queues. The result provides a limit for the probability of a large buffer. This limit can be significantly simplified when themparallelM/M/1 queues are symmetric; that is, with the same arrival and service rates, respectively. The large deviation result obtained in this paper extends a recent result in the literature. Yanfei Gao, Yiqiang Q. Zhao |
IEEE Trans. Inf. Theory | 1 |