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20212026
most citedOnline Stochastic Matching, Poisson Arrivals, and the Natural Linear Program

8 citations · 11 across the 8 of their papers we have counts for

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cs.DS2026

A Faster Directed Single-Source Shortest Path Algorithm

Ran Duan, Xiao Mao, Xinkai Shu +1

This paper presents a new deterministic algorithm for single-source shortest paths (SSSP) on real non-negative edge-weighted directed graphs, with running time $O(m\sqrt{\log n}+\s…

cs.DS2025★ 3 cited

Breaking the Sorting Barrier for Directed Single-Source Shortest Paths

Ran Duan, Jiayi Mao, Xiao Mao +2

We give a deterministic -time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition m…

cs.DS2024

Online Matching Meets Sampling Without Replacement

Zhiyi Huang, Chui Shan Lee, Jianqiao Lu +1

Sampling without replacement is a natural online rounding strategy for converting fractional bipartite matching into an integral one. In Online Bipartite Matching, we can use the B…

cs.DS2023

A Randomized Algorithm for Single-Source Shortest Path on Undirected Real-Weighted Graphs

Ran Duan, Jiayi Mao, Xinkai Shu +1

In undirected graphs with real non-negative weights, we give a new randomized algorithm for the single-source shortest path (SSSP) problem with running time $O(m\sqrt{\log n \cdot…

cs.DS2022

Online Nash Welfare Maximization Without Predictions

Zhiyi Huang, Minming Li, Xinkai Shu +1

The maximization of Nash welfare, which equals the geometric mean of agents' utilities, is widely studied because it balances efficiency and fairness in resource allocation problem…

cs.DS2022

The Power of Multiple Choices in Online Stochastic Matching

Zhiyi Huang, Xinkai Shu, Shuyi Yan

We study the power of multiple choices in online stochastic matching. Despite a long line of research, existing algorithms still only consider two choices of offline neighbors for…

cs.DS2021★ 8 cited

Online Stochastic Matching, Poisson Arrivals, and the Natural Linear Program

Zhiyi Huang, Xinkai Shu

We study the online stochastic matching problem. Consider a bipartite graph with offline vertices on one side, and with i.i.d.online vertices on the other side. The offline vertice…