Song Chun Zhu

Affiliations: 
Computer Science University of California, Los Angeles, Los Angeles, CA 
Area:
computer vision; statistical modeling and computing; vision and visual arts; machine learning
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"Song Zhu"

Children

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Adrian G. Barbu grad student 2005 UCLA
Cheng-en Guo grad student 2005 UCLA
Romeo Maciuca grad student 2006 UCLA
Zijian Xu grad student 2007 UCLA
Kent X. Shi grad student 2009 UCLA
Jacob M. Porway grad student 2010 UCLA
Zhangzhang Si grad student 2011 UCLA
Tianfu Wu grad student 2011 UCLA
Zhenyu Yao grad student 2011 UCLA
Mingtian Zhao grad student 2011 UCLA
Wenze Hu grad student 2012 UCLA
Brandon Rothrock grad student 2013 UCLA
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Publications

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Xing X, Gao R, Han T, et al. (2020) Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry. Ieee Transactions On Pattern Analysis and Machine Intelligence
Zhang Q, Ren J, Huang G, et al. (2020) Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. Ieee Transactions On Pattern Analysis and Machine Intelligence
Zhang Q, Wang X, Cao R, et al. (2020) Extracting an Explanatory Graph to Interpret a CNN. Ieee Transactions On Pattern Analysis and Machine Intelligence
Zhang Q, Wang X, Wu YN, et al. (2020) Interpretable CNNs for Object Classification. Ieee Transactions On Pattern Analysis and Machine Intelligence
Qi S, Jia B, Huang S, et al. (2020) A Generalized Earley Parser for Human Activity Parsing and Prediction. Ieee Transactions On Pattern Analysis and Machine Intelligence
Nan Z, Shu T, Gong R, et al. (2020) Learning to infer human attention in daily activities Pattern Recognition. 103: 107314
Zhu Y, Gao T, Fan L, et al. (2020) Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense Engineering. 6: 310-345
Xie J, Zhu SC, Wu YN. (2019) Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns. Ieee Transactions On Pattern Analysis and Machine Intelligence
Edmonds M, Gao F, Liu H, et al. (2019) A tale of two explanations: Enhancing human trust by explaining robot behavior Science Robotics. 4: eaay4663
Hill M, Nijkamp E, Zhu S. (2019) Building a telescope to look into high-dimensional image spaces Quarterly of Applied Mathematics. 77: 269-321
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