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20192026
most citedOptimization of CNOT circuits on limited connectivity architecture

19 citations · 24 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.DS2026

A Deterministic -Approximation for Non-monotone Submodular Maximization under Matroid Constraints

Shengminjie Chen, Kaifeng Lin, Xiaoming Sun +1

Submodular maximization arises in a wide range of combinatorial optimization problems and has been extensively studied from the perspective of approximation algorithms. For maximiz…

cs.DS2026

Deterministic Algorithm for Non-monotone Submodular Maximization under Matroid and Knapsack Constraints

Shengminjie Chen, Yiwei Gao, Kaifeng Lin +2

Submodular maximization constitutes a prominent research topic in combinatorial optimization and theoretical computer science, with extensive applications across diverse domains. W…

cs.DS2024

Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions

Zongqi Wan, Jialin Zhang, Xiaoming Sun +1

Symmetric submodular maximization is an important class of combinatorial optimization problems, including MAX-CUT on graphs and hyper-graphs. The state-of-the-art algorithm for the…

cs.DS2023

Improved Deterministic Streaming Algorithms for Non-monotone Submodular Maximization

Xiaoming Sun, Jialin Zhang, Shuo Zhang

Submodular maximization is one of the central topics in combinatorial optimization. It has found numerous applications in the real world. Streaming algorithms for submodule maximiz…

cs.DS2022★ 1 cited

Improved Deterministic Algorithms for Non-monotone Submodular Maximization

Xiaoming Sun, Jialin Zhang, Shuo Zhang +1

Submodular maximization is one of the central topics in combinatorial optimization. It has found numerous applications in the real world. In the past decades, a series of algorithm…

cs.DS2020

Simple Deterministic Approximation for Submodular Multiple Knapsack Problem

Xiaoming Sun, Jialin Zhang, Zhijie Zhang

Submodular maximization has been a central topic in theoretical computer science and combinatorial optimization over the last decades. Plenty of well-performed approximation algori…