邓海松

发布者:澳门8858cc永利发布时间:2015-12-15浏览次数:6452


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

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 澳门8858cc永利皇宫 澳门8858cc永利 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): 455466. (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 inspirationInternational Journal of Computer Science Issues2016136):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): 234248. (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 XuWen-Ze Shao: Blind deconvolution via complementarily structure-aware image smoothing. J. Electronic Imaging 29(5): 053015 (2020) (SCI)

 

15. Wenze Shao, Haisong Deng, Linhan OuyangQi 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 GeLi-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,南京审计学院公司产品研究项目,主持

5.统计学》学习指导,澳门8858cc永利皇宫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