Li Jing

Li JingJing Li, Ph.D., Associate Professor, Supervisor. She received Ph.D. degrees in Beijing Institute of Technology in 2011. She is now Associate Professor of School of Automation, Beijing Institute of Technology. Expert member of the "Space Information Tchnology" Youth Committee of China Electronics Society, the main research direction is robot environmental awareness, image detection and target tracking, multi-sensor information fusion. She has presided over more than 10 projects including the National Natural Science Youth Fund, the Postdoctoral Special Fund, the Key Laboratory of the Ministry of Education, and the Science and Technology Cooperation. She has published 25 academic papers (including 10 SCI papers and 15 EI papers) and the book "Image Detection and Target Tracking Technology", granted 7 national invention patents as the first author and the National Science and Technology Progress Award 2 (ranked 8th). The guided postgraduates have awarded the second prize of the 14th China Graduate Electronic Design Competition, the second prize of the first China-Russia (Industrial) Innovation Competition, and the second prize of the 14th National College Student Smart Car Competition. Read More Read Less

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Lunch from Home33 % NR
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Art of War Collection22 % NR
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Atlas of Non-Gynecologic Cytology32 %
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Electroslag Remelting Towards Clean Steel37 %
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China's Publishing Industry in the Era of Big Data37 %
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G Protein-Coupled Receptors37 %
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Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate37 %
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Research on Poverty Reduction in China37 %
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Advanced Data Mining and Applications37 %
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Advanced Data Mining and Applications37 %
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Advanced Data Mining and Applications37 %
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Advanced Data Mining and Applications37 %
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Advanced Data Mining and Applications37 %
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Satellite Photoelectric Sensing Technology37 %
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Carbide in Special Steel37 %
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Analysis of Reaction-Diffusion Models with the Taxis Mechanism37 %
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Analysis of Reaction-Diffusion Models with the Taxis Mechanism37 %
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China’s Publishing Industry in the Era of Big Data37 %
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Advanced Data Mining and Applications37 %
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Advanced Data Mining and Applications37 %
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