Demo Data from EDBT 2026 / reviewers in the wild / expert
Liuming Zhou
dblp:206/0892
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2020
0000-0002-7384-5755ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.
| Theoretical computer science
1 paper |
Mathematical optimization · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization › control theory
iterative learning control |
0.4 | 1 | 2019 | A robust integrated model predictive iterative learning control strategy for batch processes · Sci. China Inf. Sci. 2019 |
Mathematical optimization › control theory
model predictive control |
0.4 | 1 | 2019 | A robust integrated model predictive iterative learning control strategy for 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 |
|---|---|---|---|
| 2020 | A just-in-time-learning based two-dimensional control strategy for nonlinear batch processes
Liuming Zhou, Li Jia 0002, Yu-Long Wang |
Inf. Sci. | 1 |
| 2019 | A robust integrated model predictive iterative learning control strategy for batch processes
Liuming Zhou, Li Jia 0002, Yu-Long Wang |
Sci. China Inf. Sci. | 1 |