Demo Data from EDBT 2026 / reviewers in the wild / expert
William Y. Huang
dblp:44/2927
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1989
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 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.
| Artificial intelligence
2 papers |
Speech recognition and synthesis · 57% Learning theory · 43% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Speech recognition and synthesis › automatic speech recognition
hidden markov model speech recognition |
0.0 | 1 | 1989 | HMM Speech Recognition with Neural Net Discrimination · NIPS 1989 |
Machine learning › Learning theory › classification
neural network classifier |
0.0 | 1 | 1987 | Neural Net and Traditional Classifiers · NIPS 1987 |
Algorithms and data structures
classification |
0.0 | 1 | 1987 | Neural Net and Traditional Classifiers · NIPS 1987 |
Methods — techniques the papers use, named apart from their topics
neural network · 0.0traditional classifiers · 0.0hidden markov model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | HMM Speech Recognition with Neural Net Discrimination
William Y. Huang, Richard Lippmann |
NIPS | 1 |
| 1987 | Neural Net and Traditional Classifiers
William Y. Huang, Richard Lippmann |
NIPS | 1 |