Title：Lecturer
E-mail：ylzeng@ustb.edu.cn
Office： Electromechanical Information Building 905
Education：
2009.09 - 2015.06 Ph.D. Control Science and Engineering, USTB
2005.09 - 2009.07 B.S. Measurement and Control Technology and Instrument, USTB
Work experience：
2018.01 – Present Lecturer School of Automation and Electrical Engineering, USTB
2015.07 - 2017.12 Post-doctor School of Computer and Communication Engineering, USTB
Research Interests：
Remote Sensing Image Processing, Computer Vision, and Intelligent Computing
Courses：
Selected Publications：
[1] Yiliang Zeng, Jinhui Lan, Jinlin Zou. Research on Infrared Dim-small Target Tracking Algorithm with Template Sliding Confidence Constraint. Acta Armamentarii, 2017, 38(9):1771-1778.
[2] Yiliang Zeng, Sheng Zhang. Optimal Representative Vector Method and Its Application for Glacier Classification. Transaction of Beijing Institute of Technology, 2017, 37(10): 1067-1071.
[3] Yiliang Zeng, Jinhui Lan, Bin Ran, Jing Gao, and Jinlin Zou. A novel Abandoned Object Detection System based on Three-dimensional Image Information, Sensors, 2015, 15 (3):6885-6904.
[4] Yiliang Zeng, Jinhui Lan, Bin Ran, and Jing Gao. Restoration of Motion Blurred Image Based on Frame Deformation Detection: A traffic sign restoration model, PLOS ONE, 2015, 10(4): e0120885. doi:10.1371/journal.pone.0120885.
[5] Yiliang Zeng, Jinhui Lan, Chuanzhao Han, Kewei Huang, Jiehui Li, Xuefei Shi. Aircraft Recognition based on Improved Iterative Threshold Selection and Skeleton Zernike moment, International Journal for Light and Electron Optics, 2014, 125(14): 3733-3737.
Representative projects：
[1] Principal Investigator, “Spectral unmixing method using cluster dynamical mean field theory for the mixed pixel in hyperspectral images”, National Natural Science Foundation of China, 2019-2021.
[2] Principal Investigator , “Intelligent Analysis Technology based on Deep Reinforcement Learning for Large Scale Remote Sensing Data”, Advanced Research Fundation, 2017-2018.
[3] Principal Investigator, “Object Detection Technology for Multi-Source Remote Sensing Data”, Fundamental Research Funds for the Central Universities, 2016-2017.
[4] Principal Investigator, “Object Detection Technology based on Deep Learning for Multi-Source Images”, China Postdoctoral Science Foundation, 2016-2017.
