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Li Pu
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Artificial Intelligence Laboratory
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PhD - Assistant
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office(s):
INR240
phone(s): [+41 21 69] 36711
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MISSION
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I am a 4th year PhD student in the IC school advised by Prof. Boi Faltings. My main research interests are activity recognition in network environment and graph/hypergraph based data mining.
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BIOGRAPHY
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Sep. 2008 - present, PhD student, Artificial Intelligence Laboratory, EPFL, Lausanne
Sep. 2006 - Jun. 2008, M.Sc, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing
Jul. 2005 - Aug. 2006, hardware and software engineer at Up-tech Technology, Beijing
Sep. 2001 - Jun. 2005, B.Eng, School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing
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PUBLICATIONS
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Li Pu and Boi Faltings, "Hypergraph Clustering for Better Network Traffic Inspection," in the 3rd Workshop on Intelligent Security at IJCAI, 2011
Li Pu, Boi Faltings, Qiang Yang and Derek H. Hu, "Relational Network-Service Clustering Analysis with Set Evidences," in the 3rd Workshop on Artificial Intelligence and Security, 2010
Li Pu, Jinchun Hu, and Badong Chen, "Information Theoretical Approach to Identification of Hybrid Systems," in Proceedings of the 11th International Conference on Hybrid Systems: Computation and Control, 2008
Badong Chen, Jinchun Hu, Li Pu, and Zengqi Sun "Stochastic Gradient Algorithm under (h, phi)-entropy," Circuits Systems and Signal Processing, 26(6), 941-960, 2007
Li Pu, Tianmiao Wang, Jianhong Liang, and Song Wang, "An Attitude Estimate Approach using MEMS Sensors for Small UAVs," in Proceedings of the 4th IEEE International Conference on Industrial Informatics, 2006
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DSP_INS
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I developed the open source project DSP_INS between 2005 and 2008. It is a miniature inertial navigation system on the TI DSP platform TMS320F28335 with MEMS inertial sensors and consumer GPS receiver. This system has been successfully applied to several robots and UAVs (unmanned air vehicles). A variation of DSP_INS was deployed in an Antarctic expedition mission.
Click here to visit the open source DSP_INS page.
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