Demo Data from EDBT 2026 / reviewers in the wild / expert
Weiping Luo
dblp:04/5417
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware reliability and fault tolerance · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance
fault-tolerant control |
0.4 | 1 | 2019 | Robust constrained iterative learning predictive fault-tolerant control of uncertain batch processes · Sci. China Inf. Sci. 2019 |
Mathematical optimization › control theory
model predictive control |
0.4 | 1 | 2019 | Robust constrained iterative learning predictive fault-tolerant control of uncertain batch processes · Sci. China Inf. Sci. 2019 |
Methods — techniques the papers use, named apart from their topics
model predictive control · 0.8iterative learning control · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Robust constrained iterative learning predictive fault-tolerant control of uncertain batch processes
Limin Wang 0003, Limei Sun, Weiping Luo |
Sci. China Inf. Sci. | 3 |
| 2006 | Capture Dynamic Aspects of Software Architecture for Distributed Self-Adaptive EnvironmentsabstractAn architectural description to capture dynamic aspects of software architecture provides the fundamental information to the external adaptation mechanism for self-adaptive systems. This paper presents a dAcme framework for distributed self-adaptive systems and introduces an architecture description language to address the dynamism of software architecture. In dAcme, the traditional model layer is separated into model and instance layers. Multi-domain constraints and self-adaptive tactics are extended based on basic Acme syntax. These extensions turn the analyzing and planning phase of the adaptation life circle into searching a solution for distributed constraint satisfactory problems. A media distribution case study is presented to demonstrate the expressiveness of the proposed approach Weiping Luo, Hamada H. Ghenniwa, Weiming Shen 0001, Zhaohua Rao |
CSCWD | 1 |