61 citations · 329 across the 74 of their papers we have counts for
5 papers · 1 filter
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems
Jack Liell-Cock, Ian R. Manchester, Guodong Shi
The nature of information sharing in common distributed consensus algorithms permits network eavesdroppers to expose sensitive system information. An important parameter within dis…
Initial-Value Privacy of Linear Dynamical Systems
Lei Wang, Ian R. Manchester, Jochen Trumpf +1
This paper studies initial-value privacy problems of linear dynamical systems. We consider a standard linear time-invariant system with random process and measurement noises. For s…
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee
Most of the recent deep learning-based 3D human pose and mesh estimation methods regress the pose and shape parameters of human mesh models, such as SMPL and MANO, from an input im…
Controllability and Accessibility on Graphs for Bilinear Systems over Lie Groups
Xing Wang, Bo Li, Jr-Shin Li +2
This paper presents graph theoretic conditions for the controllability and accessibility of bilinear systems over the special orthogonal group, the special linear group and the gen…
Distributed Algorithms that Solve Boolean Equations with Local and Differential Privacies
Hongsheng Qi, Bo Li, Rui-Juan Jing +3
In this paper, we propose distributed algorithms that solve a system of Boolean equations over a network, where each node in the network possesses only one Boolean equation from th…