activity
20142023
most citedPredicting Network Controllability Robustness: A Convolutional Neural Network Approach

85 citations · 458 across the 12 of their papers we have counts for

collaborators

12 papers

cs.SI2023★ 85 cited

Structural Robustness of Complex Networks: A Survey of A Posteriori Measures

Yang Lou, Lin Wang, Guanrong Chen

Network robustness is critical for various industrial and social networks against malicious attacks, which has various meanings in different research contexts and here it refers to…

eess.SY2022★ 71 cited

A Learning Convolutional Neural Network Approach for Network Robustness Prediction

Yang Lou, Ruizi Wu, Junli Li +3

Network robustness is critical for various societal and industrial networks again malicious attacks. In particular, connectivity robustness and controllability robustness reflect h…

cs.NE2021★ 2 cited

Computing Cliques and Cavities in Networks

Dinghua Shi, Zhifeng Chen, Xiang Sun +4

Complex networks contain complete subgraphs such as nodes, edges, triangles, etc., referred to as simplices and cliques of different orders. Notably, cavities consisting of higher-…

physics.soc-ph2020★ 31 cited

A Framework of Hierarchical Attacks to Network Controllability

Yang Lou, Lin Wang, Guanrong Chen

Network controllability robustness reflects how well a networked dynamical system can maintain its controllability against destructive attacks. This paper investigates the network…

physics.soc-ph2020★ 53 cited

Knowledge-Based Prediction of Network Controllability Robustness

Yang Lou, Yaodong He, Lin Wang +2

Network controllability robustness reflects how well a networked system can maintain its controllability against destructive attacks. Its measure is quantified by a sequence of val…

eess.SY2019★ 39 cited

Towards Optimal Robustness of Network Controllability: An Empirical Necessary Condition

Yang Lou, Lin Wang, Kim Fung Tsang +1

To better understand the correlation between network topological features and the robustness of network controllability in a general setting, this paper suggests a practical approa…

eess.SY2019★ 85 cited

Predicting Network Controllability Robustness: A Convolutional Neural Network Approach

Yang Lou, Yaodong He, Lin Wang +1

Network controllability measures how well a networked system can be controlled to a target state, and its robustness reflects how well the system can maintain the controllability a…

cs.NE2019★ 1 cited

On-line Search History-assisted Restart Strategy for Covariance Matrix Adaptation Evolution Strategy

Yang Lou, Shiu Yin Yuen, Guanrong Chen +1

Restart strategy helps the covariance matrix adaptation evolution strategy (CMA-ES) to increase the probability of finding the global optimum in optimization, while a single run CM…

eess.SY2018★ 72 cited

Toward Stronger Robustness of Network Controllability: A Snapback Network Model

Yang Lou, Lin Wang, Guanrong Chen

A new complex network model, called q-snapback network, is introduced. Basic topological characteristics of the network, such as degree distribution, average path length, clusterin…

cs.SI2016★ 9 cited

Local communities obstruct global consensus: Naming game on multi-local-world networks

Yang Lou, Guanrong Chen, Zhengping Fan +1

Community structure is essential for social communications, where individuals belonging to the same community are much more actively interacting and communicating with each other t…

cs.CL2015★ 10 cited

Communicating with sentences: A multi-word naming game model

Yang Lou, Guanrong Chen, Jianwei Hu

Naming game simulates the process of naming an object by a single word, in which a population of communicating agents can reach global consensus asymptotically through iteratively…

cs.SI2014

Naming game with learning errors in communications

Yang Lou, Guanrong Chen

Naming game simulates the process of naming an objective by a population of agents organized in a certain communication network topology. By pair-wise iterative interactions, the p…