activity
20162022
most citedExplainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine

10 citations · 29 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

physics.ao-ph2019★ 1 cited

Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK using Hierarchical Directed Graphs

Parya Broomandi, Xueyu Geng, Weisi Guo +3

Worldwide exposure to fine atmospheric particles can exasperate the risk of a wide range of heart and respiratory diseases, due to their ability to penetrate deep into the lungs an…

eess.SP2019★ 10 cited

Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine

Weisi Guo

As the 5th Generation (5G) mobile networks are bringing about global societal benefits, the design phase for the 6th Generation (6G) has started. 6G will need to enable greater lev…

nlin.AO2019

Organisational Social Influence on Directed Hierarchical Graphs, from Tyranny to Anarchy

Charlie Pilgrim, Weisi Guo, Samuel Johnson

Coordinated human behaviour takes place within a diverse range of social organisational structures, which can be thought of as power structures with "managers" who influence "subor…

physics.soc-ph2019★ 1 cited

Graph Hierarchy: A novel approach to understanding hierarchical structures in complex networks

Giannis Moutsinas, Choudhry Shuaib, Weisi Guo +1

Trophic coherence, a measure of a graph's hierarchical organisation, has been shown to be linked to a graph's structural and dynamical aspects such as cyclicity, stability and norm…

eess.SP2019★ 1 cited

Optimal Sampling for Dynamic Complex Networks with Graph-Bandlimited Initialization

Zhuangkun Wei, Bin Li, Weisi Guo

Many engineering, social, and biological complex systems consist of dynamical elements connected via a large-scale network. Monitoring the network's dynamics is essential for a var…