activity
20232026
collaborators

6 papers

cs.DS2026

Certifying Capacity and Gaps of the Rank-Dependent Gain-Sharing Framework for Ranking

Pan Xu

The randomized primal-dual framework of Devanur, Jain, and Kleinberg (SODA 2013) splits each unit matching gain between endpoint dual variables according to the matched offline ran…

cs.DS2025

Online Matching under KIID: Enhanced Competitive Analysis through Ordinary Differential Equation Systems

Pan Xu

We consider the (offline) vertex-weighted Online Matching problem under Known Identical and Independent Distributions (KIID) with integral arrival rates. We propose a meta-algorith…

cs.DS2025

Correcting the Foundational Analysis of Karp--Vazirani--Vazirani (STOC 1990): A Rigorous Revision of the Upper Bound

Pan Xu

We revisit the classical analysis of Karp, Vazirani, and Vazirani (KVV, STOC~1990), which established the well-known upper bound of as the limiting proportion of vertices…

cs.DC2024

Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option

Yohai Trabelsi, Pan Xu, Sarit Kraus

Assigning tasks to service providers is a frequent procedure across various applications. Often the tasks arrive dynamically while the service providers remain static. Preventing t…

cs.DS2024

Tight Competitive and Variance Analyses of Matching Policies in Gig Platforms

Pan Xu

In this paper, we propose an online-matching-based model to tackle the two fundamental issues, matching and pricing, existing in a wide range of real-world gig platforms, including…

cs.DS2023

Two-Sided Capacitated Submodular Maximization in Gig Platforms

Pan Xu

In this paper, we propose three generic models of capacitated coverage and, more generally, submodular maximization to study task-worker assignment problems that arise in a wide ra…