VLDB 2026 Research / reviewers in the wild / expert
Wanchang Zhang 0002
dblp:49/9909-2
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 first-author · 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 · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › mechanism design
bilateral trade |
0.6 | 1 | 2022 | Random Double Auction: A Robust Bilateral Trading Mechanism · EC 2022 |
Algorithmic game theory and mechanism design › mechanism design › auction design
double auction |
0.6 | 1 | 2022 | Random Double Auction: A Robust Bilateral Trading Mechanism · EC 2022 |
Algorithmic game theory and mechanism design
mechanism design |
0.6 | 1 | 2022 | Random Double Auction: A Robust Bilateral Trading Mechanism · EC 2022 |
Algorithmic game theory and mechanism design › mechanism design
robust mechanism design |
0.6 | 1 | 2022 | Random Double Auction: A Robust Bilateral Trading Mechanism · EC 2022 |
Methods — techniques the papers use, named apart from their topics
worst-case analysis · 0.6dominant strategy incentive compatibility · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Random Double Auction: A Robust Bilateral Trading MechanismabstractI construct a novel random double auction as a robust bilateral trading mechanism for a profit-maximizing intermediary who facilitates trade between a buyer and a seller. It works as follows. The intermediary publicly commits to charging a fixed commission fee and randomly drawing a spread from a uniform distribution. Then the buyer submits a bid price and the seller submits an ask price simultaneously. If the difference between the bid price and the ask price is greater than the realized spread, then the asset is transacted at the midpoint price, and each pays the intermediary half of the fixed commission fee. Otherwise, no trade takes place, and no one pays or receives anything. I show that the random double auction maximizes the worst-case expected profit across all dominant-strategy incentive compatible and ex-post individually rational mechanisms for the symmetric case. I also construct a robust trading mechanism with similar properties for the asymmetric case. Wanchang Zhang 0002 |
EC | 1 |