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Kong Dexing

Kong Dexing is a distinguished “Qiu Shi” professor and doctoral supervisor of Zhejiang University, the director of the Applied Mathematics Institute of Zhejiang University, the director of the Image Processing Research and Development Center of the School of Science of Zhejiang University, the chairman of the Mathematical Medicine Association in Zhejiang province, the chairman of the Digital Graphic Image Association in Henan province, the founder of the Union of Mathematical Imaging (UMI), a visiting professor of the Chinese People’s Liberation Army General Hospital (the 301 Military Hospital in Beijing), a visiting professor of the National Defense University of Science and Technology in China, a visiting professor of Henan University, a visiting professor of the Northumbria University in Britain, the vice chairman of the Committee of the China Ordnance Society on Applied mathematics, the deputy dean of the Big Data and Artificial Intelligence Research Institute in Xi’an as well as the co-chairman of the 156th Shuangqing Forum held by the National Natural Science Foundation of China, a committee number of the Academic Committee of the Digital Medicine and Computer-aided Surgery Laboratory, a provincial key laboratory in Shandong province, etc.
He was a visiting scientist of the International Center for Theoretical Physics (in Italy), a special research fellow of Japan Society for Promotion Science, a guest professor of the City University of Hong Kong, a visiting professor of the Einstein Institute in Germany, a visiting scholar of the Courant Mathematics Institute at New York University in USA, a postdoctoral fellow of Harvard University. In 2012, he entered the First Level Personnel Development Program of the “151 Talents Project” in Zhejiang province and he also won the Best Scientific Paper Award of the International Association for Pattern Recognition (IAPR) in 2012 and the second prize of the Science and Technology Award in Zhejiang province in 2011. He was selected to participate in Program for New Century Excellent Talents in University Supported by the Ministry of Education and Shanghai Rising-Star Program.

He has published more than 120 academic theses in some international famous academic journals, a monograph in English by Japanese Mathematical Society, a monograph in Chinese by Science Press, a graduate textbook and an undergraduate textbook by Higher Education Press. He has already applied for 22 national invention patents (6 of them have been granted and 16 of them are being announced) and 3 software copyrights. He has undertaken several National Natural Science Foundation projects, including the Major Research Plan Integration Project of the National Natural Science Foundation of China, and some Science and Technology Projects including the Major Science and Technology Projects in Zhejiang province.

Education Experience
1991.09-1993.12 Fudan University Applied Mathematics Ph.D. Supervisor:Li Daqian
1988.09-1991.07 Fudan University Basic Mathematics  Master Supervisor:Li Daqian

1985.09-1988.07 Henan University   Mathematics   Bachelor

Representative Publications
[1]    D. Kong, Y. Chen et al. Mathematical Theories and Methods in Medical Image Pocessing, Beijing: Science Press, 2014.
[2]    Z. Yan, F. Chen, D. Kong. Liver venous tree separation via twin-line RANSAC and Murray’s Law, IEEE Transactions on Medical Imaging, 36(9): 1887-1900, 2017.
[3]    R. Chen, T. Jiang, K. Wang, F. Lu, D. Kong. Automatic radiofrequency ablation planning based on constrained clustering process for hepatic tumors. Transactions on Biomedical Engineering, 10.1109/TBME.2017.2712161, 1-13, 2017.
[4]    J. Ma, F. Wu, T. Jiang, Q. Zhao, D. Kong. Ultrasound image based thyroid nodule automatic segmentation using convolutional neural networks. International Journal of Computer Assisted Radiology and Surgery, 2017. (DOI: 10.1007/S11548-017-1649-7)
[5]    J. Ma, F. Wu, T. Jiang, J. Zhu, D. Kong. Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images, Medical Physics, 44 (5): 1678-1691, 2017.
[6]    Z. Yan, F. Chen, F. Wu, D. Kong*, Inferior vena cava segmentation with parameter propagation and graph cut, International Journal of Computer Assisted Radiology and Surgery (2017), DOI 10.1007/s11548-017-1582-9.
[7]    J. Ma, F. Wu, J. Zhu, D. Xu, D. Kong*, A pre-trained convolutional neural network based method for thyroid nodule diagnosis, Ultrasonics 73 (2017), 221-230.
[8]    P. Hu, F. Wu, J. Peng, P. Liang, D. Kong*, Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution, Phys. Med. Biol. 61 (2016), 8676-8698.
[9]    P. Hu, F. Wu, J. Peng, Y. Bao, F. Chen, D. Kong*, Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets, Int J CARS (2016), DOI 10.1007/s11548-016-1501-5.
[10]    F. Lu, F. Wu, P. Hu, Z. Peng, D.Kong*, Automatic 3D liver location and segmentation via convolutional neural network and graph cut, Int J CARS (2016), doi:10.1007/s11548-016-1467-3.
[11]    J. Peng, F. Dong, Y. Chen, D. Kong_, A region-appearance based adaptive variational model for 3D liver segmentation, Medical Physics 41, 043502 (2014).
[12]    Z. Xie, E. Dong, J. Li, D. Kong, N. Wu, Potential links by neighbor communities, Physica A 406 (2014), 244-252.
[13]    D. Kong, C. Wei, Blowup of smooth solutions of a class of complex conservation laws, Journal of Mathematical Analysis and Applications 406 (2013), 464-474.
[14]    D. Kong, K. Liu, Y. Wang, Life-span of classical solutions to hyperbolic geometric flow in two space variables with slow decay initial data, Communications in Partial Differential Equations 36 (2011), 162-184.
[15]    D. Kong, K. Liu, D. Xu, The hyperbolic geometric flow on Riemann surfaces, Communications in Partial Differential Equations 34 (2009), 553-580.
[16]    D. Kong, Q. Zhang, Q. Zhou, The dynamics of relativistic strings moving in the Minkowski space R1+n, Communications in Mathematical Physics 269 (2007), 153-174.
[17]    D. Kong, T. Yang, Asymptotic behavior of global classical solutions of quasilinear hyperbolic systems, Communications in Partial Differential Equations 28 (2003), 1203-1220.
[18]    D. Kong. Formation and propagation of singularities for 2 _ 2 quasilinear hyperbolic systems, Transactions of the American Mathematical Society 354 (2002), 3155-3179.
[19]    Ta-tsien Li, D. Kong, Global classical discontinuous solutions to a class of generalized Riemann problem for general quasilinear hyperbolic systems of conservation laws, Commun. in Partial Differential Equations 24 (1999), 801-820.
[20]    Ta-tsien Li, Y. Zhou, D. Kong, Weak Linear degeneracy and global classical solutions for general quasilinear hyperbolic systems, Commun. in Partial Differential Equations 19 (1994), 1263-1317.


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