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2021年5月21日,《IEEE Transactions on Multimedia》正式刊发了国地质大学计算机学院与国防科技大学、深圳大学以及国家超算济南中心等单位合作完成的研究成果—Consensus Graph Learning for Multi-view Clustering(基于一致图学习的多视图聚类算法),论文的第一作者为中国地质大学计算机学院硕士研究生李正来,通讯作者为唐厂教授。
We consider a stochastic model for distributed average consensus, which arises in applications such as load balancing for parallel processors, distributed coordination of mobile autonomous agents, and...
Stochastic Multiscale Approaches to Consensus Problems     Consensus Problems  Multiscale       font style='font-size:12px;'> 2015/6/19
While peer-to-peer consensus algorithms have enviable robustness and locality for distributed estimation and computation problems, they have poor scaling behavior with network diameter. We show how de...
The Anthropocene is recognized (though not yet formally defined) as the time when human impacts are widespread on Earth. While some of the impacts are essential to supporting large human populatio...
We study the problem of achieving average consensus between a group of agents over a network with erasure links. In the context of consensus problems, the unreliability of communication links between ...
We study the role of hierarchical structures in a simple model of collective consensus formation based on the bounded confidence model with continuous individual opinions. For the particular variation...
Distributed consensus and other linear systems with system stochastic matrices $W_k$ emerge in various settings, like opinion formation in social networks, rendezvous of robots, and distributed infere...
Consensus in the two-state Axelrod model     Interacting particle systems  Axelrod model  annihilating random walks       font style='font-size:12px;'> 2011/9/19
Abstract: The Axelrod model is a spatial stochastic model for the dynamics of cultures which, similarly to the voter model, includes social influence, but differs from the latter by also accounting fo...
Abstract: This note studies a network of agents having continuous-time dynamics with quantized interactions and time-varying topology. We show that under a mild connectivity condition, the agents reac...
Characterizing the process of reaching consensus for social systems     Characterizing  social systems       font style='font-size:12px;'> 2011/9/8
A novel way of characterizing the process of reaching consensus for a social system is given. The foundation of the characterization is based on the theorem which states that the sufficient and necess...
Representation of a swarm of independent robotic agents under graph-theoretic constructs allows for more formal analysis of convergence properties. We consider the local and global convergence behavio...
Fastest Distributed Consensus on Petal Networks      Fastest Distributed Consensus  Petal Networks        font style='font-size:12px;'> 2010/12/13
Providing an analytical solution for the problem of finding Fastest Distributed Consensus (FDC) is one of the challenging problems in the field of sensor networks. Here in this work we present analyti...
Solving Fastest Distributed Consensus (FDC) averaging problem over sensor networks with different topologies has received some attention recently and one of the well known topologies in this issue is ...
The objective of this note is to give several comments regarding the paper [1] published in the Proceedings of the IEEE and to mention some closely related results published in 2000 and 2001. I will f...
Temperature and precipitation from 16 climate models each using two emissions scenarios (lower B1 and mid-high A2) were used to characterize the range of potential climate changes for the Rio Lempa ba...

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