3 citations · 6 across the 8 of their papers we have counts for
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cs.DS2020
Outliers Detection Is Not So Hard: Approximation Algorithms for Robust Clustering Problems Using Local Search Techniques
Yishui Wang, Rolf H. Möhring, Chenchen Wu +2
In this paper, we consider two types of robust models of the -median/-means problems: the outlier-version (-MedO/-MeaO) and the penalty-version (-MedP/-MeaP), in…
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…