Yang Xiang, University of Guelph

Profile photo of Yang Xiang, expert at University of Guelph

Associate Director, Undergraduate Studies Professor Guelph, Ontario yxiang@uoguelph.ca Office: (519) 824-4120 ext. 52824

Bio/Research

Dr. Xiang’s research investigates how to build intelligent programs that can reason and support decision-making in uncertain environments. His work applies normative approaches to the construction of such systems. Systems thus built are guided by a normative theory such as Bayesian probability th...

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Bio/Research

Dr. Xiang’s research investigates how to build intelligent programs that can reason and support decision-making in uncertain environments. His work applies normative approaches to the construction of such systems. Systems thus built are guided by a normative theory such as Bayesian probability theory or decision theory, and are subject to formal analysis of performance and error bounds. For efficient inference and decision making, his research focuses on graphical models, such as Bayesian networks, decomposable Markov networks, influence diagrams, Markov decision processes, and constraint networks. His work extends these graphical models from single intelligent agent-based to multi-agent-based systems, e.g., multiply sectioned Bayesian networks, where multiple intelligent subsystems cooperate in problem-solving. In recent years, his team has focused on refining graphical models with local models for tractable inference, and for learning such tractable models from data.

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