@article{hang_zhang_singh_2013, title={Shin: Generalized Trust Propagation with Limited Evidence}, volume={46}, ISSN={["1558-0814"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84875836507&partnerID=MN8TOARS}, DOI={10.1109/mc.2012.116}, abstractNote={Shin incorporates a probabilistic method for revising trust estimates in trustees, yielding higher prediction accuracy than traditional approaches that base trust exclusively on a series of referrals culminating with the trustee.}, number={3}, journal={COMPUTER}, author={Hang, Chung-Wei and Zhang, Zhe and Singh, Munindar P.}, year={2013}, month={Mar}, pages={78–85} }
 @article{hang_singh_2012, title={Generalized framework for personalized recommendations in agent networks}, volume={25}, ISSN={["1573-7454"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84861476514&partnerID=MN8TOARS}, DOI={10.1007/s10458-011-9186-1}, number={3}, journal={AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS}, author={Hang, Chung-Wei and Singh, Munindar P.}, year={2012}, month={Nov}, pages={475–498} }
 @article{wang_hang_singh_2011, title={A Probabilistic Approach for Maintaining Trust Based on Evidence}, volume={40}, ISSN={["1943-5037"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-79956343086&partnerID=MN8TOARS}, DOI={10.1613/jair.3108}, abstractNote={Leading agent-based trust models address two important needs.  First, they show how an agent may estimate the trustworthiness of another agent based on prior interactions.  Second, they show how agents may share their knowledge in order to cooperatively assess the trustworthiness of others.  However, in real-life settings, information relevant to trust is usually obtained piecemeal, not all at once.  Unfortunately, the problem of maintaining trust has drawn little attention.  Existing approaches handle trust updates in a heuristic, not a principled, manner.

This paper builds on a formal model that considers probability and certainty as two dimensions of trust.  It proposes a mechanism using which an agent can update the amount of trust it places in other agents on an ongoing basis.  This paper shows via simulation that the proposed approach (a) provides accurate estimates of the trustworthiness of agents that change behavior frequently; and (b) captures the dynamic behavior of the agents.  This paper includes an evaluation based on a real dataset drawn from Amazon Marketplace, a leading e-commerce site.}, journal={JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH}, author={Wang, Yonghong and Hang, Chung-Wei and Singh, Munindar P.}, year={2011}, pages={221–267} }
 @article{hang_singh_2011, title={Trustworthy Service Selection and Composition}, volume={6}, ISSN={1556-4665}, url={http://dx.doi.org/10.1145/1921641.1921646}, DOI={10.1145/1921641.1921646}, abstractNote={We consider Service-Oriented Computing (SOC) environments. Such environments are populated with services that stand proxy for a variety of information resources. A fundamental challenge in SOC is to select and compose services, to support specified user needs directly or by providing additional services. Existing approaches for service selection either fail to capture the dynamic relationships between services or assume that the environment is fully observable. In practical situations, however, consumers are often not aware of how the services are implemented. We propose two distributed trust-aware service selection approaches: one based on Bayesian networks and the other on a beta-mixture model. We experimentally validate our approach through a simulation study. Our results show that both approaches accurately punish and reward services in terms of the qualities they offer, and further that the approaches are effective despite incomplete observations regarding the services under consideration.}, number={1}, journal={ACM Transactions on Autonomous and Adaptive Systems}, publisher={Association for Computing Machinery (ACM)}, author={Hang, Chung-Wei and Singh, Munindar P.}, year={2011}, month={Feb}, pages={1–17} }
 @inproceedings{hang_singh_2010, title={From quality to utility: Adaptive service selection framework}, volume={6470}, booktitle={Service-oriented computing}, author={Hang, C. W. and Singh, M. P.}, year={2010}, pages={456–470} }