Demo Data from VLDB 2026 / reviewers in the wild / expert
JinLong Zhang
dblp:61/714
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0002-1161-5460ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2Human-computer interaction and ubiquitous computing · 1
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.
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › signal processing
blind source separation |
0.1 | 1 | 2008 | Source number estimation and separation algorithms of underdetermined blind separation · Sci. China Ser. F Inf. Sci. 2008 |
Methods — techniques the papers use, named apart from their topics
underdetermined blind separation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Source number estimation and separation algorithms of underdetermined blind separation
ZuYuan Yang, BeiHai Tan, GuoXu Zhou, JinLong Zhang |
Sci. China Ser. F Inf. Sci. | 4 |
| 2002 | Dynamic conflict analysis by integrating value-focused thinking and the graph model for conflict resolutionabstractA new approach to dynamic conflict analysis is presented that integrates value-focused thinking and the graph model for conflict resolution. This approach is based on the premise that values are the driving forces behind the evolution of a conflict from one frame to another. Value-focused thinking is employed to identify the decision makers' values and objectives, which facilitate the establishment of a conflict model consisting of decision makers as well as each decision maker's options and preference rankings of states for each frame. A decision support system called GMCR II is utilized to analyze the conflict model and predict possible resolutions for each frame, which are assessed against the measures established from value-focused thinking for evaluating the achievement of objectives. A case study is presented to illustrate how the approach can be applied to a real world conflict. Liping Fang, Keith W. Hipel, JinLong Zhang |
SMC (2) | 3 |