Demo Data from VLDB 2026 / reviewers in the wild / expert
Shuhan Liang
dblp:222/2280
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 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 |
|---|---|---|---|---|
Medical and health informatics › precision medicine
dynamic treatment regime |
0.3 | 1 | 2017 | Sparse Concordance-assisted Learning for Optimal Treatment Decision · J. Mach. Learn. Res. 2017 |
Mathematical optimization
high-dimensional statistics |
0.3 | 1 | 2017 | Sparse Concordance-assisted Learning for Optimal Treatment Decision · J. Mach. Learn. Res. 2017 |
Methods — techniques the papers use, named apart from their topics
sparse concordance-assisted learning · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Sparse Concordance-assisted Learning for Optimal Treatment Decision
Shuhan Liang, Wenbin Lu, Rui Song 0006 |
J. Mach. Learn. Res. | 1 |