Donghao Zhu

dblp:157/4758 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0002-1889-3076ORCID · 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 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
YearPublicationVenuePosition
2023 Superiority of Instantaneous Decisions in Thin Dynamic Matching Markets
abstract
Dynamic matching markets are an ubiquitous object of study with applications in health, labor, or dating. We study a model proposed by Akbarpour et al. [2020] and Anderson et al. [2017], where homogeneous agents arrive at random according to a Poisson process and possess a random compatibility with other agents as in the Erdős-Rényi model. Agents leave according to a certain departure distribution and may leave early by forming a pair with a compatible agent. If agents are not matched until the end of their sojourn time, they perish and have to leave the market unmatched.
Johannes Bäumler, Martin Bullinger, Stefan Kober, Donghao Zhu
EC4
2021 Dynamic Bipartite Matching Market with Arrivals and Departures
Naonori Kakimura, Donghao Zhu
WINE2