# Pei Xie

## Contact Details

NamePei Xie |
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## Pubs By Year |
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## Pub CategoriesComputer Science - Distributed; Parallel; and Cluster Computing (3) Mathematics - Optimization and Control (2) High Energy Physics - Experiment (1) Computer Science - Computer Vision and Pattern Recognition (1) High Energy Physics - Phenomenology (1) |

## Publications Authored By Pei Xie

This paper studies problems on locally stopping distributed consensus algorithms over networks where each node updates its state by interacting with its neighbors and decides by itself whether certain level of agreement has been achieved among nodes. Since an individual node is unable to access the states of those beyond its neighbors, this problem becomes challenging. In this work, we first define the stopping problem for generic distributed algorithms. Read More

This paper is concerned with a constrained optimization problem over a directed graph (digraph) of nodes, in which the cost function is a sum of local objectives, and each node only knows its local objective and constraints. To collaboratively solve the optimization, most of the existing works require the interaction graph to be balanced or "doubly-stochastic", which is quite restrictive and not necessary as shown in this paper. We focus on an epigraph form of the original optimization to resolve the "unbalanced" problem, and design a novel two-step recursive algorithm with a simple structure. Read More

This paper considers a distributed convex optimization problem with inequality constraints over time-varying unbalanced digraphs, where the cost function is a sum of local objectives, and each node of the graph only knows its local objective and inequality constraints. Although there is a vast literature on distributed optimization, most of them require the graph to be balanced, which is quite restrictive and not necessary. Very recently, the unbalanced problem has been resolved only for either time-invariant graphs or unconstrained optimization. Read More

We revisit the study of a wrist-mounted camera system (referred to as HandCam) for recognizing activities of hands. HandCam has two unique properties as compared to egocentric systems (referred to as HeadCam): (1) it avoids the need to detect hands; (2) it more consistently observes the activities of hands. By taking advantage of these properties, we propose a deep-learning-based method to recognize hand states (free v. Read More

Exchange of unparticle stuff of dimension $d_\U$ with FCNC interaction can induce $M^{12,u}$ and $\Gamma^{12,u}$ causing meson and anti-meson mixing with the relation $\Gamma^{12,u}/M^{12,u} = 2 \tan(\pi d_\U)$. We show that this type of unparticle contribution can provide the much needed large $\Gamma^{12}_s$ to explain the recently observed anomalously large dimuon asymmetry in $B_s -\bar B_s$ system reported by D0 collaboration. The same interaction can also accommodate large mixing induced CP violation in $B_s \to J/\psi \phi$ indicated by CDF and D0 data. Read More