EDBT 2026 Demo / reviewers in the wild / expert
Yucheng Shang
dblp:315/5681
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0000-2416-2213ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Theory of computation · 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.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 75% Automated reasoning and model checking · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Automated reasoning and model checking
certification |
0.9 | 1 | 2025 | The Design and Price of Certification · EC 2025 |
Algorithmic game theory and mechanism design › mechanism design
information design |
0.9 | 1 | 2025 | The Design and Price of Certification · EC 2025 |
Algorithmic game theory and mechanism design
mechanism design |
0.9 | 1 | 2025 | The Design and Price of Certification · EC 2025 |
Algorithmic game theory and mechanism design › mechanism design › contract design
screening |
0.9 | 1 | 2025 | The Design and Price of Certification · EC 2025 |
Methods — techniques the papers use, named apart from their topics
mechanism design · 0.9bayesian persuasion · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | The Design and Price of CertificationabstractWe consider a model with three economic agents: a certifier, a sender and a receiver (e.g., test provider, student and school). The sender has imperfect private information about the state of the world (e.g., student's ability), assumed to be binary. The certifier offers a menu of tests with different prices, from which the sender chooses her preferred option. The test generates a certificate which is informative about the state and therefore guides the receiver's action (e.g., admission decision), also assumed to be binary. The sender would like the receiver to always take the high action, but the receiver would only like to do so if the state is high. The test may provide information to the receiver through two channels. The first channel is informativeness of actual tests. Second, selection of different types into different tests conveys information, as the receiver updates her belief about the state based on which test the sender chooses. Mikael Mäkimattila, Yucheng Shang, Ryo Shirakawa |
EC | 2 |