姓名：邓海松
政治面貌：中共党员
最后学位：博士
岗位职称：副教授
研究领域：计算机试验、统计学习，贝叶斯统计
办公室：位育楼506室
Email：denghaisong1003@163.com
通讯地址：南京市浦口区雨山西路86号
邮编：211815
教育经历：
1999.09 - 2003.06 江苏师范大学 数学与应用数学专业 理学学士
2004.09 - 2006.06 南京理工大学 应用数学专业 理学硕士
2007.09 - 2011.06 南京理工大学 系统工程专业 工学博士
工作经历：
2011.6-至今 南京审计大学 统计与数据科学学院 副教授
代表性期刊/会议论文
1. Haisong Deng, Wenze Shao, Yizhong Ma, Zhihui Wei. Bayesian Metamodeling for Computer Experiments Using the Gaussian Kriging Models. Quality and Reliability Engineering International, 2012, 28(4): 455–466. (SCI)
2. Haisong Deng, Yizhong Ma, Wenze Shao, Yiliu Tu. A Bayesian Metamodeling Approach for Gaussian Stochastic Process Models Using a Noninformative Prior. Communications in Statistics: Theory and Method, 2012, 41(5): 829-850. (SCI)
3. Haisong Deng, Wenze Shao, Yizhong Ma. A Bayesian Approach to Kriging Metamodeling for Computer Experiments. Journal of Advanced Mechanical Design, System and Manufacturing, 2012, 6(4): 404-419. (SCI)
4.Hai-Song Deng Wen-Ze Shao,The l0-norm-based blind image deconvolution: comparison and inspiration，International Journal of Computer Science Issues，2016，13（6）：25-33
4. Wenze Shao, Haisong Deng, Yizhong Ma, Zhihui Wei. Extended Gaussian Kriging for Computer Experiments in Engineering Design. Engineering with Computers, 2012, 28(2): 161-178. (SCI)
5. Wenze Shao, Haisong Deng, Zhihui Wei. Multi-Parseval frame based nonconvex sparse image deconvolution. Optical Engineering, 2012, 51(2): 067008-1-12. (SCI)
6. Wenze Shao, Haisong Deng, Zhihui Wei. Kullback-Leibler divergence based composite prior modeling for Bayesian super-resolution. Journal of Scientific Computing, 2014, 60(1): 60-78. (SCI)
7. Wenze Shao, Qi Ge, Zongliang Gan, Haisong Deng, Haibo Li. A generalized robust minimization framework for low-rank matrix recovery. Mathematical Problems in Engineering, 2014, 656074, 8 pages. (SCI)
8. Wenze Shao, Haisong Deng, Zhihui Wei. The magic of split augmented Lagrangians applied to K-frame based l0-l2 minimization image restoration. Signal, Image and Video Processing, 2014, 8(5): 975-983. (SCI)
9. Wenze Shao, Haisong Deng, Zhihui Wei. An efficient and effective l0-l2 minimization algorithm for compressive imaging. Imaging Science Journal, 2014, 62(8): 423-436. (SCI)
10. Wenze Shao, Qi Ge, Haisong Deng, Zhihui Wei, Haibo Li. Motion deblurring using non- stationary image modeling. Journal of Mathematical Imaging and Vision, 2015, 5(2): 234–248. (SCI)
11. Wenze Shao, Haisong Deng, Zhihui Wei. A posterior mean approach for MRF-based spatially adaptive multi-frame image super-resolution. Signal, Image and Video Processing, 2015, 9(2): 437-449. (SCI)
12. Wenze Shao, Qi Ge, Haisong Deng, Zhihui Wei, Haibo Li. A unified optimization perspective to single/multi-observation blur-kernel estimation with applications to camera-shake deblurring and nonparametric blind super-resolution. Journal of Mathematical Imaging and Vision, 2016 , 54 (2): 216-239. (SCI)
13. Wenze Shao, Haisong Deng, Qi Ge, Haibo Li, Zhihui Wei. Regularized motion blur-kernel estimation with adaptive sparse image prior learning. Pattern Recognition, 2016, Volume 51, pp. 402-424. (SCI)
14. Juan Xu, Hai-Song Deng, Hui Xu, Wen-Ze Shao: Blind deconvolution via complementarily structure-aware image smoothing. J. Electronic Imaging 29(5): 053015 (2020) (SCI)
15. Wenze Shao, Haisong Deng, Linhan Ouyang, Qi Ge: A type-II maximum-likelihood approach to Gaussian scale mixture-based sparse regression Kriging. Comput. Ind. Eng. 168: 108028 (2022) (SCI)
16. Wen-Ze Shao, Hai-Song Deng, Qi Ge, Li-Qian Wang,Reweighted tikohonov regularization for blind deblurring via dual principles of discriminativeness. Multidimens. Syst. Signal Process. 34(1): 291-320 (2023) (SCI)
17. 邓海松, 马义中, 邵文泽. 基于非信息超先验的Bayesian Kriging元建模算法. 系统工程与电子技术, 2010, 32(11): 2341-2345.
18. 邓海松, 马义中, 邵文泽. 基于多层稀疏先验的回归样条变量选择算法.系统工程与电子技术, 2010, 32 (12): 2725-2729.
19. 邓海松, 马义中, 邵文泽. 基于贝叶斯多层先验的元建模研究. 系统仿真学报, 2011, 23(11): 2291- 2295.
参与项目情况：
1. 含有定性因子的Kriging模型的稳健设计优化与算法研究 2020.1-2022.12 国家自然科学基金青年项目 项目批准号：11901299，主持
2. 江苏省教育厅自然科学研究项目，13KJB510022，面向复杂产品设计的计算机试验稀疏Kriging元建模研究，2013.8-2015.12，主持
4.贝叶斯统计学中高年级研究性课堂教学模式的探索，南京审计学院教育教学研究项目，主持
5.《统计学》学习指导，南京审计大学专业建设课题研究项目，主持
科研奖励
邓海松，2012，南京市第十届自然科学优秀学术论文奖三等奖，南京市人民政府
参编教材
《统计学》学习指导，王天营、 邓海松、 郝红霞，东南大学出版社，2022年9月
