activity
20212026
most citedDynamic Bipartite Matching Market with Arrivals and Departures

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GT2026

Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce

Xiaolin Xu, Donghao Zhu

Agentic buyers can cheaply fork a procurement task into many parallel negotiations, but concurrency is not free: every thread consumes resources, and simultaneous agreements create…

math.OC2026

Huge-Scale Assortment Optimization with Customer Choice: A Parallel Primal-Dual Approach

Donghao Zhu, Hanzhang Qin, Ching-pei Lee +3

We study huge-scale assortment optimization problems to maximize expected revenue under customer choice, addressing a fundamental challenge in industries such as transportation, re…

cs.LG2026

A Learning-Based Hybrid Decision Framework for Matching Systems with User Departure Detection

Ruiqi Zhou, Donghao Zhu, Houcai Shen

In matching markets such as kidney exchanges and freight exchanges, delayed matching has been shown to improve overall market efficiency. The benefits of delay are highly sensitive…

cs.DS2022

Superiority of Instantaneous Decisions in Thin Dynamic Matching Markets

Johannes Bäumler, Martin Bullinger, Stefan Kober +1

We study a dynamic matching setting where homogeneous agents arrive at random according to a Poisson process and randomly form edges yielding a sparse market. Agents stay in the ma…

cs.DS2021★ 2 cited

Dynamic Bipartite Matching Market with Arrivals and Departures

Naonori Kakimura, Donghao Zhu

In this paper, we study a matching market model on a bipartite network where agents on each side arrive and depart stochastically by a Poisson process. For such a dynamic model, we…