Song-Chun Zhu is a Chinese computer scientist and applied mathematician known for his work in computer vision, cognitive artificial intelligence and robotics.
21 Facts About Song-Chun Zhu
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Song-Chun Zhu previously served as Director of the UCLA Center for Vision, Cognition, Learning and Autonomy.
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In 2005, Song-Chun Zhu founded the Lotus Hill Institute, an independent non-profit organization to promote international collaboration within the fields of computer vision and pattern recognition.
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In 1992, Song-Chun Zhu continued his study of computer vision at the Harvard Graduate School of Arts and Sciences.
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At Harvard, Song-Chun Zhu studied under the supervision of American mathematician David Mumford and gained an introduction to "probably approximately correct" learning under the instruction of Leslie Valiant.
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Song-Chun Zhu concluded his studies at Harvard in 1996 with a Ph.
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In 2002, Song-Chun Zhu joined the University of California, Los Angeles in the Departments of Computer Science and Statistics as associate professor, rising to the rank of full professor in 2006.
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At UCLA, Song-Chun Zhu established the Center for Vision, Cognition, Learning and Autonomy.
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In 2005, Song-Chun Zhu established an independent non-profit organization in his hometown of Ezhou, the Lotus Hill Institute.
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Since establishing LHI, Song-Chun Zhu has organized numerous workshops and conferences, along with serving as the general chair for both the 2012 Conference on Computer Vision and Pattern Recognition in Providence, Rhode Island, where he presented Ulf Grenander with a Pioneer Medal, and the 2019 CVPR held in Long Beach, California.
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In July 2017, Song-Chun Zhu founded DMAI in Los Angeles as an AI startup engaged in developing a unified cognitive AI platform.
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In September 2020, Song-Chun Zhu returned to China to join Peking University to lead its Institute for Artificial Intelligence, thus joining another Chinese AI expert in the US and a long-time acquaintance of Song-Chun Zhu, Microsoft's former head of artificial intelligence and research, Harry Shum.
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Song-Chun Zhu is working on setting up a new and separate AI research institute - Beijing Institute for General Artificial Intelligence.
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Song-Chun Zhu has published over three hundred articles in peer-reviewed journals and proceedings in the following four phases:.
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In 2004, Song-Chun Zhu moved to high level vision by studying stochastic grammar.
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Song-Chun Zhu developed grammatical models for a few key vision problems, such as face modeling, face aging, clothes, object detection, rectangular structure parsing, and the sort.
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Song-Chun Zhu wrote a monograph with Mumford in 2006 titled A Stochastic Grammar of Images.
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Song-Chun Zhu has extended the and-or graph models to the spatial, temporal, and causal and-or graph to express the compositional structures as a unified representation for objects, scenes, actions, events, and causal effects in physical and social scene understanding problems.
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Song-Chun Zhu, instead, advocated for a "small data for big task" paradigm to achieve general AI.
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At the 2023 meeting of the Chinese People's Political Consultative Conference's National Committee, Song-Chun Zhu said that, in the wake of ChatGPT's release, China should make artificial general intelligence a strategic goal, analogous to the pursuit of nuclear, missile, and satellite technology by the Two Bombs, One Satellite project of the 1960s.
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In February 2024, the Beijing Institute for General Artificial Intelligence operating under the leadership of Song-Chun Zhu unveiled what they referred to as the world's first artificial intelligence child named "Tong Tong" who possesses her own emotions and intellect and is capable of assigning tasks to herself independently demonstrating a level of autonomy previously unseen in virtual entities.