Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhi Liao
dblp:02/8454
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 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 |
Network measurement and analytics · 61% Cellular and mobile networks · 26% Wireless networking · 13% |
Topics — the 1 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics
bandwidth estimation |
0.6 | 1 | 2022 | Mobile access bandwidth in practice: measurement, analysis, and implications · SIGCOMM 2022 |
Methods — techniques the papers use, named apart from their topics
longitudinal measurement study · 0.9cross-layer analysis · 0.9fine-grained measurement · 0.6diagnostic information analysis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A Four-Year Retrospective of Mobile Access Bandwidth Evolution: The Inspiring, the Frustrating, and the FluctuatingabstractRecent advances in mobile technologies (like WiFi 6 and 5G) do not seem to deliver the promised access bandwidth. To effectively characterize mobile access bandwidth in the wild, we work with a major commercial mobile bandwidth testing app to conduct a long-term (2020-2023) and large-scale (involving 4.76M users) measurement study in China, based on coarse-grained general statistics and fine-grained sampling diagnostics. Our study presents distinct facts as to WiFi, 5G, and 4G: in the past few years, the average WiFi download bandwidth exhibits a considerable rise (by 119.7% ), the average 5G download bandwidth constantly decreases (by a total of 20.2% ) despite the enormous infrastructure investments, while the average 4G download bandwidth first declines (by 22.1% ) and then increases (by 22.5% ). The situations of upload bandwidths are generally similar to those of download bandwidths, except that 5G upload bandwidths manifestN-shaped$(\nearrow \searrow \nearrow )$fluctuations. Our cross-layer and cross-technology analysis reveals a variety of impact factors as well as their complicated interplay as the root causes, such as the bottlenecks in underlying infrastructure (e.g., communication devices and wired Internet access), the traffic offloading from one access technology to another, the influence of the COVID-19 pandemic, and the side effects of aggressively migrating radio resources from 4G to 5G. With the longitudinal, holistic picture of today's mobile access bandwidth, we finally provide multifold practical implications on closing the technology gaps. Zhenhua Li 0001, Xinlei Yang, Jing Yang 0052, Xingyao Li, Hao Lin 0005, Feng Qian 0001, Yunhao Liu 0001, Zhi Liao, Daqiang Hu |
IEEE Trans. Mob. Comput. | 9 |
| 2022 | Mobile access bandwidth in practice: measurement, analysis, and implicationsabstractRecent advances in mobile technologies such as 5G and WiFi 6E do not seem to deliver the promised mobile access bandwidth. To effectively characterize mobile access bandwidth in the wild, we work with a major commercial mobile bandwidth testing app to analyze mobile access bandwidths of 3.54M end users in China, based on fine-grained measurement and diagnostic information. Our analysis presents a surprising and frustrating fact---in the past two years, the average WiFi bandwidth remains largely unchanged, while the average 4G/5G bandwidth decreases remarkably. Our analysis further reveals the root causes---the bottlenecks in the underlying infrastructure (e.g., devices and wired Internet access) and side effects of aggressively migrating radio resources from 4G to 5G---with implications on closing the technology gaps. Additionally, our analysis provides insights on building ultra-fast, ultra-light bandwidth testing services (BTSes) at scale. Our new design dramatically reduces the test time of the commercial BTS from 10 seconds to 1 second on average, with a 15× reduction on the backend cost. Xinlei Yang, Hao Lin 0005, Zhenhua Li 0001, Feng Qian 0001, Xingyao Li, Zhiming He, Xianlong Wang 0003, Yunhao Liu 0001, Zhi Liao, Daqiang Hu, Tianyin Xu |
SIGCOMM | 10 |