School of Humanities and Sciences
Showing 2,001-2,010 of 2,079 Results
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Xiaoze Xie
Paul L. and Phyllis Wattis Professor of Art
BioXiaoze Xie received his Master of Fine Art degrees from the Central Academy of Arts & Design in Beijing and the University of North Texas. He has had solo exhibitions at the Scottsdale Museum of Contemporary Art, AZ; Dallas Visual Art Center, TX; Modern Chinese Art Foundation, Gent, Belgium; Charles Cowles Gallery, New York; Gallery Paule Anglim, San Francisco; Nicholas Metivier Gallery, Toronto; China Art Archives and Warehouse, Beijing; Gaain Gallery, Seoul; Devin Borden Hiram Butler Gallery, Houston, TX; among others. He has participated in numerous group exhibitions including Shu: Reinventing Books in Contemporary Chinese Art at the China Institute Gallery in New York and Seattle Asian Art Museum, and the traveling exhibition Regeneration: Contemporary Chinese Art from China and the US. His 2004 solo at Charles Cowles was reviewed in “The New York Times”, “Art in America” and "Art Asia Pacific". More recent shows have been reviewed in “Chicago Tribune”, “The Globe and Mail” and “San Francisco Chronicle”. His work is in the permanent collection of the Museum of Fine Arts, Houston and the Scottsdale Museum of Contemporary Art and the Arizona State University Art Museum. Xie received the Pollock-Krasner Foundation Grant (2003) and artist awards from Phoenix Art Museum (1999) and Dallas Museum of Art (1996). Xie is the Paul L. & Phyllis Wattis Professor of Art at Stanford University.
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Daniel Yamins
Associate Professor of Psychology and of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.
