Intelligent Science and Technology

Qingqun Kong

PhD, Associate Professor, Master's Supervisor

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Qingqun Kong, PhD, Associate Professor, Master's Supervisor.

Email: qingqun.kong@cumtb.edu.cn

Research Interests:Multimodal Learning, Computer Vision, Intelligent Mining

Education Background:

2008.09-2013.07 National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, PhD

2004.09-2008.06 School of Automation, Ocean University of China, BS

Work Experience:

2024.07-Present, Associate Professor, School of Artificial Intelligence, China University of Mining and Technology -Beijing

2015.11-2024.06, Associate Professor. Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences

2013.07-2015.10, Assistant Professor, Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences

To Be Updated

She has presided over several research projects, including General Programs and Young Scientists Fund Programs of the National Natural Science Foundation of China (NSFC), a sub-project of the National Science and Technology Innovation 2030- Major Program of "New Generation of Artificial Intelligence”, and a General Program of the Beijing Natural Science Foundation.

As a core researcher, she has also undertaken and completed a series of major tasks, such as those funded by the Beijing Municipal Science and Technology Commission and the Strategic Priority Research Program (Type B) of the Chinese Academy of Sciences. Additionally, she has published more than 20 academic papers, including in IEEE Trans, Neural Networks, Pattern Recognition, Information Sciences, Machine Intelligence Research, AAAI, ACM MM, etc.

To Be Updated