Demo Data from EDBT 2026 / reviewers in the wild / expert
Qing Zhang 0012
dblp:68/1429-12
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorComputer networks · 1Security and privacy · 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.
| Databases, data mining, and information retrieval
1 paper |
Web and social media mining · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Web and social media mining
web spam detection |
0.2 | 1 | 2014 | DSpin: Detecting Automatically Spun Content on the Web · NDSS 2014 |
Web and social media mining › web mining
web content analysis |
0.1 | 1 | 2014 | DSpin: Detecting Automatically Spun Content on the Web · NDSS 2014 |
Methods — techniques the papers use, named apart from their topics
text similarity · 0.2machine learning · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | DSpin: Detecting Automatically Spun Content on the Web
Qing Zhang 0012, David Y. Wang, Geoffrey M. Voelker |
NDSS | 1 |
| 2010 | Neon: system support for derived data managementabstractModern organizations face increasingly complex information management requirements. A combination of commercial needs, legal liability and regulatory imperatives has created a patchwork of mandated policies. Among these, personally identifying customer records must be carefully access-controlled, sensitive files must be encrypted on mobile computers to guard against physical theft, and intellectual property must be protected from both exposure and "poisoning." However, enforcing such policies can be quite difficult in practice since users routinely share data over networks and derive new files from these inputs--incidentally laundering any policy restrictions. In this paper, we describe a virtual machine monitor system called Neon that transparently labels derived data using byte-level "tints" and tracks these labels end to end across commodity applications, operating systems and networks. Our goal with Neon is to explore the viability and utility of transparent information flow tracking within conventional networked systems when used in the manner in which they were intended. We demonstrate that this mechanism allows the enforcement of a variety of data management policies, including data-dependent confinement, mandatory I/O encryption, and intellectual property management. Qing Zhang 0012, John McCullough, Justin Ma, Nabil Schear, Michael Vrable, Amin Vahdat, Alex C. Snoeren, Geoffrey M. Voelker, Stefan Savage |
VEE | 1 |
| 2006 | Glavlit: Preventing Exfiltration at Wire Speed
Nabil Schear, Carmelo Kintana, Qing Zhang 0012, Amin Vahdat |
HotNets | 3 |