Demo Data from SIGIR 2026 / reviewers in the wild / expert
Chunhe Ni
dblp:298/4227
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 |
Content delivery and video streaming · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming
web content delivery |
0.5 | 1 | 2021 | Web-LEGO: Trading Content Strictness for Faster Webpages · INFOCOM 2021 |
Content delivery and video streaming › web content delivery
web page load optimization |
0.5 | 1 | 2021 | Web-LEGO: Trading Content Strictness for Faster Webpages · INFOCOM 2021 |
Content delivery and video streaming
content delivery network |
0.1 | 1 | 2021 | Web-LEGO: Trading Content Strictness for Faster Webpages · INFOCOM 2021 |
Methods — techniques the papers use, named apart from their topics
user study · 0.5automated testing · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Web-LEGO: Trading Content Strictness for Faster WebpagesabstractThe current Internet content delivery model assumes strict mapping between a resource and its descriptor, e.g., a JPEG file and its URL. Content Distribution Networks (CDNs) extend it by replicating the same resources across multiple locations, and introducing multiple descriptors. The goal of this work is to build Web-LEGO, an opt-in service, to speedup webpages at client side. Our rationale is to replace the slow original content with fast similar or equal content. Further, we perform a reality check of this idea both in term of the prevalence of CDN-less websites, availability of similar content, and user perception of similar webpages via millions of scale automated tests and thousands of real users. Then, we devise Web-LEGO, and address natural concerns on content inconsistency and copyright infringements. The final evaluation shows that Web-LEGO brings significant improvements both in term of reduced Page Load Time (PLT) and user-perceived PLT. Specifically, CDN-less websites provide more room for speedup than CDN-hosted ones, i.e., 7x more in the median case. Besides, Web-LEGO achieves high visual accuracy (94.2%) and high scores from a paid survey: 92% of the feedback collected from 1,000 people confirm Web-LEGO's accuracy as well as positive interest in the service. Pengfei Wang 0013, Matteo Varvello, Chunhe Ni, Ruiyun Yu, Aleksandar Kuzmanovic |
INFOCOM | 3 |