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MOE-Microsoft Key Laboratory of Statistics and Information Technology, Peking University
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 In April 2005, Microsoft Research Asia collaborated with Peking University to set up a joint laboratory. The lab is solving problems in information technology by using statistics, mathematics, and computing technologies, and is fostering a new generation of talent with skills and knowledge in statistics and information technology. Projects undertaken include integrating advanced statistical methods with other disciplines. The lab is to collaborate with the NASA Jet Propulsion Laboratory in the United States to do remote sensing and detection of the Beijing atmosphere. In addition to doing research, the lab also organizes an annual summer school to cultivate talent in statistics and information technologies. More than 100 faculty members and students have benefited from the summer school.
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MOE-Microsoft Key Laboratory of Statistics and Information Technology, Peking University
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 Research Direction
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Statistics and Machine Learning
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Data and Information Technology
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Visual computing
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Image processing
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Selected Publications
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Xin Jiang, Yang Liu, Bin Yu and Ming Jiang, Comparison of MISR aerosol optical thickness with AERONET measurements in Beijing metropolitan area, accepted by Remote Sensing of Environment (Special Issue on Multi-angle Imaging SpectroRadiometer), 2006.
- Xin Jiang, Yang Liu, Bin Yu, Ming Jiang, Comparison of MISR and AERONET aerosol optical depths at a highly polluted urban site: Preliminary results. In MISR Science Team Meeting, Pasadena, CA, 2006. (poster presentation by Dr. Yang Liu, Harvard School of Public Health)
- Xie, X., Geng, Z. and Zhao, Q. (2006) Decomposition of structural learning about directed acyclic graphs. Artificial Intelligence,170, 422-439.
- Ma, Z. M., Xie, X. C. and Geng, Z. (2006) Collapsibility of distribution dependence. J. Royal Statist. Soc. Ser. B 68, 127-133.
- Wang, M., Geng, Z., et al. (2006) Combination of network construction and cluster analysis and its application to traditional Chinese medicine. LNCS vol. 3973, 777-785, Springer-Verlag.
- Jia, J., Geng, Z., Wang, M. (2006) Identifiability and estimation of probabilities from multiple databases with incomplete data and sampling selection. LNCS,vol. 4109, 792-798.
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