activity
20142021
most citedUniversal Phase Transition in Community Detectability under a Stochastic Block Model

26 citations · 113 across the 20 of their papers we have counts for

collaborators

5 papers

cs.PL20165 cited

FEAST: An Automated Feature Selection Framework for Compilation Tasks

Pai-Shun Ting, Chun-Chen Tu, Pin-Yu Chen +2

The success of the application of machine-learning techniques to compilation tasks can be largely attributed to the recent development and advancement of program characterization,…

cs.SI20163 cited

AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering

Pin-Yu Chen, Thibaut Gensollen, Alfred O. Hero

One of the longstanding problems in spectral graph clustering (SGC) is the so-called model order selection problem: automated selection of the correct number of clusters. This is e…

cs.SI201525 cited

Sequential Defense Against Random and Intentional Attacks in Complex Networks

Pin-Yu Chen, Shin-Ming Cheng

Network robustness against attacks is one of the most fundamental researches in network science as it is closely associated with the reliability and functionality of various networ…

cs.SI201426 cited

Universal Phase Transition in Community Detectability under a Stochastic Block Model

Pin-Yu Chen, Alfred O. Hero

We prove the existence of an asymptotic phase transition threshold on community detectability for the spectral modularity method [M. E. J. Newman, Phys. Rev. E 74, 036104 (2006) an…

cs.SI20141 cited

Node Removal Vulnerability of the Largest Component of a Network

Pin-Yu Chen, Alfred O. Hero

The connectivity structure of a network can be very sensitive to removal of certain nodes in the network. In this paper, we study the sensitivity of the largest component size to n…