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Bin Yu
Researcher at Carnegie Mellon University
Publications - 29
Citations - 2991
Bin Yu is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Wireless sensor network & Software agent. The author has an hindex of 18, co-authored 28 publications receiving 2951 citations. Previous affiliations of Bin Yu include North Carolina State University.
Papers
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Proceedings ArticleDOI
An evidential model of distributed reputation management
Bin Yu,Munindar P. Singh +1 more
TL;DR: This approach adapts the mathematical theory of evidence to represent and propagate the ratings that agents give to their correspondents and establishes that some important properties of trust are captured by it.
Book ChapterDOI
A Social Mechanism of Reputation Management in Electronic Communities
Bin Yu,Munindar P. Singh +1 more
TL;DR: This work proposes a social mechanism of reputation management, which aims at avoiding interaction with undesirable participants, and leads to a decentralized society in which agents help each other weed out undesirable players.
Proceedings ArticleDOI
Detecting deception in reputation management
Bin Yu,Munindar P. Singh +1 more
TL;DR: This paper introduces some models of deception and study how to efficiently detect deceptive agents following those models, and describes simulation experiments to study the number of apparently accurate witnesses found in different settings, theNumber of witnesses on prediction accuracy, and the evolution of trust networks.
Journal ArticleDOI
Distributed Reputation Management for Electronic Commerce
Bin Yu,Munindar P. Singh +1 more
TL;DR: One of the major challenges for electronic commerce is how to establish a relationship of trust between different parties, because the traditional physical or social means of trust cannot apply directly in virtual settings.
Proceedings ArticleDOI
Searching social networks
Bin Yu,Munindar P. Singh +1 more
TL;DR: This paper evaluates the proposed approach empirically for a community of AI scientists (partially derived from bibliographic data), and presents a prototype system that assists users in finding other users in practical social networks.