activity
20152020
most citedA constant FPT approximation algorithm for hard-capacitated k-means

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2020★ 1 cited

Too Much Information Kills Information: A Clustering Perspective

Yicheng Xu, Vincent Chau, Chenchen Wu +3

Clustering is one of the most fundamental tools in the artificial intelligence area, particularly in the pattern recognition and learning theory. In this paper, we propose a simple…

cs.NI2020

Online Joint Placement and Allocation of Virtual Network Functions with Heterogeneous Servers

Yicheng Xu, Vincent Chau, Chenchen Wu +2

Network Function Virtualization (NFV) is a promising virtualization technology that has the potential to significantly reduce the expenses and improve the service agility. NFV make…

cs.MA2019

LAC-Nav: Collision-Free Mutiagent Navigation Based on The Local Action Cells

Li Ning, Yong Zhang

Collision avoidance is one of the most primary requirement in the decentralized multiagent navigations: while the agents are moving towards their own targets, attentions should be…

cs.DS2019★ 3 cited

A constant FPT approximation algorithm for hard-capacitated k-means

Yicheng Xu, Rolf H. Möhring, Dachuan Xu +2

Hard-capacitated -means (HCKM) is one of the fundamental problems remaining open in combinatorial optimization and data mining areas. In this problem, one is required to partiti…

cs.SI2015★ 1 cited

Influence Maximization under The Non-progressive Linear Threshold Model

T. -H. Hubert Chan, Li Ning

In the problem of influence maximization in information networks, the objective is to choose a set of initially active nodes subject to some budget constraints such that the expect…

cs.DC2015★ 2 cited

Uniform Information Exchange in Multi-channel Wireless Ad Hoc Networks

Li Ning, Dongxiao Yu, Yong Zhang +3

In the information exchange problem, k packets that are initially maintained by k nodes need to be disseminated to the whole network as quickly as possible. We consider this proble…