EDBT 2026 Demo / reviewers in the wild / expert
Alan S. L. Wong
dblp:345/8069
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
gene regulation |
0.7 | 1 | 2023 | Translation Rate Prediction and Regulatory Motif Discovery with Multi-task Learning · RECOMB 2023 |
Bioinformatics and computational biology › sequence analysis › motif discovery
regulatory motif discovery |
0.7 | 1 | 2023 | Translation Rate Prediction and Regulatory Motif Discovery with Multi-task Learning · RECOMB 2023 |
Methods — techniques the papers use, named apart from their topics
multi-task learning · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Translation Rate Prediction and Regulatory Motif Discovery with Multi-task Learning
Weizhong Zheng, John H. C. Fong, Yuk Kei Wan, Athena H. Y. Chu, Yuanhua Huang, Alan S. L. Wong, Joshua W. K. Ho |
RECOMB | 6 |