个人简介
王乐洋，男，1983年6月生，博士，副教授，硕士研究生导师，测绘工程学院副院长，青年井冈学者、江西省杰青，全国百篇优秀博士学位论文提名奖和湖北省优秀博士学位论文获得者，江西省优秀测绘地理信息科技青年人才，中国测绘地理信息学会大地测量与导航专业委员会委员，国家自然科学基金评议专家，教育部学位与研究生教育发展中心通讯评议专家，江西省科技奖励评审专家库成员，山西省科技专家库专家，江西省测绘地理信息标准化技术委员会委员，江西省测绘地理信息学会副秘书长、理事，《江西测绘》编委，江西省优秀硕士学位论文指导教师；主要研究领域为地壳形变分析与大地测量反演、测量平差与数据处理
近期论文
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1. 王乐洋, 温贵森. 相关观测 Partial EIV 模型的最小二乘方差分量估计. 测绘地理信息,2018, 43(1): 8-14（高端论坛约稿）.
2. WANG Leyang（王乐洋）, GAO Hua, FENG Guangcai, XU Wenbin. Source Parameters and Triggering Links of the Earthquake Sequence in Central Italy from 2009 to 2016Analyzed with GPS and InSAR Data. Tectonphysics, 2018, 744: 285-295, DOI:10.1016/j.tecto.2018.07.013 (SCI-21).
3. WANG Leyang（王乐洋）, ZHAO Xiong，Xu Wenbin, Xie Lei, Fang Nan. Co-seismic slip distribution inversion with unequal weighted Laplacian smoothness constraints. Geophysical Journal International, 2019, 218(1): 145–162. DOI:10.1093/gji/ggz125 (SCI-20).
4. WANG Leyang（王乐洋）, ZHAO Xiong, GAO Hua. A Method for Determining the Regularization Parameter and the Relative Weight Ratio of the Seismic Slip distribution with Multi-source Data. Journal of Geodynamics, 2018, 118:1-10, dOI:10.1016/j.jog.2018.04.005 (SCI-19).
5. WANG Leyang（王乐洋）, Zou Chuanyi. Accuracy Analysis and Applications of Sterling Interpolation Method for Nonlinear Function Error Propagation. Measurement,2019, 146:55-64, DOI:10.1016/j.measurement.2019.06.017 (SCI-18).
6. WANG Leyang（王乐洋）, WEN Guisen, ZHAO Yingwen. Virtual observation method and precision estimation of ill-posed Partial EIV model. Journal of Surveying Engineering, 2019, 145(4): 04019010, DOI:10.1061/(ASCE)SU.1943-5428.0000282(SCI-17).
7. WANG Leyang（王乐洋）, ZHAO Yingwen. Second Order Approximating Function Method for Precision Estimation of Total Least Squares. Journal of Surveying Engineering, 2019, 145(1): 04018011, DOI:10.1061/(ASCE)SU.1943-5428.0000266(SCI-16) .
8. WANG Leyang（王乐洋）, ZHAO Yingwen. Scaled unscented transformation for nonlinear error propagation：accuracy, sensitivity and applications. Journal of Surveying Engineering, 2018, 144(1): 04017022, DOI:10.1061/(ASCE)SU.1943-5428.0000243 (SCI-15).
9. 王乐洋, 温贵森. 火山 Mogi模型形变反演的虚拟观测法及方差分量估计.地球物理学报(SCI-14)（已录用）.
10. 王乐洋, 陈汉清. 地壳形变分析的抗差最小二乘配置迭代解法. 地球物理学报, 2017,60(8):3062-3071, DOI:10.6038/cjg20170814（SCI-13）.
11. 王乐洋, 高华, 冯光财. 2016 年台湾美浓 Mw6.4 地震震源参数的 InSAR 和 GPS 反演. 地球物理学报, 2017,60(7): 2578-2588, DOI: 10.6038/cjg20170707(SCI-12). WANG Leyang（王乐洋）, GAO Hua, FENG Guangcai. InSAR and GPS Earthquake Source Parameter Inversion for the 2016 Mw6.4 Meinong, Taiwan Earthquake. CHINESE JOURNAL OF GEOPHYSICS(地球物理学报翻译版), Vol.60, No.4, 2017, pp: 346–357 dOI: 10.6038/cjg20170707.
12. WANG Leyang（王乐洋）, ZHAO Yingwen. Unscented transformation with scaled Symmetric sampling strategy for precision estimation of total least squares. Studia Geophysica et Geodaetica, 2017, 61(3): 385-411, dOI:10.1007/s11200-016-1113-0 (SCI-11).
13. WANG Leyang（王乐洋）, XU Guangyu. Variance Component Estimation for Partial Errors-in-variables Models. Studia Geophysica et Geodaetica, 2016, 60(1), 35-55, dOI: 10.1007/s11200-014-0975-2(SCI-10).
14. WANG Leyang（王乐洋）, Li Zhiqiang, YU Fengbin. Jackknife method for the location of gross errors in weighted total least squares. Communications in Statistics 10- Simulation and Computation, DOI:10.1080/03610918.2019.1691225 (SCI-09)（已录用）.
15. WANG Leyang（王乐洋）, YU Fengbin. Jackknife Resample Method for Precision Estimation of Total Least Squares. Communications in Statistics - Simulation and Computation, DOI:10.1080/03610918.2019.1580727(SCI-08)（已录用）.
16. WANG Leyang（王乐洋）, SUN Jianqiang. Regression prediction method that is based on the partial errors-in-variables model. Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2018.1547399(SCI-07) （已录用）.
17. WANG Leyang（王乐洋）, YU Hang. Weighted total least-squares joint adjustment with weight correction factors. Communications in Statistics - Simulation and Computation,2019,48(9):2689-2707.DOI: 10.1080/03610918.2018.1468450(SCI-06).
18. WANG Leyang（王乐洋）, YU Fengbin. Jackknife Resampling Parameter Estimation Method for Weighted Total Least Squares. Communications in Statistics - Theory and Methods, DOI:10.1080/03610926.2019.1622725 (SCI-05)（已录用）.
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