Demo Data from SIGIR 2026 / reviewers in the wild / expert
Cunhuan Liu
dblp:282/5294
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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.
| Artificial intelligence
1 paper |
Deep learning architectures and training · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training › memory-augmented neural networks
neural turing machine |
0.2 | 1 | 2023 | A novel frequency-dependent hysteresis model based on improved neural Turing machine · Sci. China Inf. Sci. 2023 |
Methods — techniques the papers use, named apart from their topics
neural turing machine · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A novel frequency-dependent hysteresis model based on improved neural Turing machine
Yinan Wu 0003, Yongchun Fang, Zhi Fan, Cunhuan Liu |
Sci. China Inf. Sci. | 4 |