Ø 学习和进修经历 2005/09——2008/06 华东师范大学数学系 读书(计算数学博士) 2000/09——2003/06 华东师范大学数学系 读书(计算数学硕士) 1996/09——2000/06 曲阜师范大学数学系 读书(数学教育学士) Ø 工作经历 2003/07——2005/09 曲阜师范大学数学科学学院 2008/07——2009/9 曲阜师范大学数学科学学院 2009/9——现在 伟德国际betvlctor1946 Ø 论文及著作信息 1.Minghui Wang, Luping Xu, Computing the Hermitian Positive Definite Solutions of a Nonlinear Matrix Equation, Journal of Advances in Applied & Computational Mathematics,3(2016),20-28, ISSN:2409-5761 2.Minghui Wang, Juntao Zhang, On the pure imaginary quaternionic least squares solutions of matrix equation, J. Appl. Math. & Informatics,34:2(2016),95-106, ISSN: 1598 - 5857 3.Bin Yu, Minghui Wang, Likuan Zhao. Reconstruction of gene regulatory network based on Bayesian network, International Conference on Advanced Educational Technology and Information Engineering, 4 (2015) 681-689. 4.Minghui Wang, Luping Xu, Juntao Zhang, An Iterative Method for the Symmetric Arrowhead Solution of Matrix Equation, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering,9：7(2015),437-443, ISSN: 1307-6892 5.《应用数值分析》，王明辉主编，王广彬，张闻副主编，化学工业出版社 2015-3-1出版 6.Minghui Wang, Juntao Zhang, A new inversion-free method for the matrix equation X + A∗X−αA = I, Mathematical Methods in Science and Mechanics, Mathematics and Computers in Science and Engineering Series | 33, ISSN: 2227-4588, ISBN: 978-960-474-396-4,54-57 7.Bin Yu, Minghui Wang, Juntao Zhang, An Iterative Method for Quaternionic Linear Equations, International Journal of Mathematical, Computational, Physical and Quantum Engineering,Vol:8 No:3, 2014 8.Minghui Wang, Juntao Zhang, A New Inversion-free Method for Hermitian Positive Definite Solution of Matrix Equation, International Journal of Mathematical, Computational, Physical and Quantum Engineering , Vol:8 No:6, 2014 9.Zhigang jia, Meixiang Zhao, Minghui Wang, and Sitao Ling. Solvability Theory and Iteration Method for One Self-Adjoint Polynomial Matrix Equation, Journal of Applied Mathematics,Volume 2014, Article ID 681605, 10.Minghui Wang, Chunyan Liang, Shanrui Hu, On the Positive Definite Solutions of a Nonlinear Matrix Equation, Applied Mechanics and Materials, vol 380-384(2013), 1434-1438,ISSN: 1660-9336 11.Minghui Wang, Wenhao Ma, A structure-preserving algorithm for the quaternion Cholesky decomposition, Applied Mathematics and Computation 223 (2013) 354-361 12.Minghui Wang, Musheng Wei, Shanrui Hu, The extremal solution of the matrix equation $X^s + AX^{−q}A = I$, Applied Mathematics and Computation 220(2013), pp. 193-199 13.Minghui Wang, Wenhao Ma, A structure-preserving method for the quaternion LU decomposition in quaternionic quantum theory, Computer Physics Communications 184:9 (2013), pp. 2182-2186 14.Minghui Wang. A new method for solving matrix equation AXB+CXTD=E, Mathematical and Computational Applications, v 18, n 1, p 12-18, 2013 15.Minghui Wang, Chunyun Sheng, The Mixed-Restriction Solution of Matrix Equation AXB+ CYD= E , MAO 2012, vol 1, 123-127. 16.王明辉，魏木生，关于矩阵方程X^s+A^*X^{-q}A=I（英文），高等学校计算数学学报，34:3（2012）277-289 17.Minghui Wang; Musheng Wei; Shanrui Hu, An Iterative Method for the Least-Squares Minimum- Norm Symmetric Solution, CMES: Computer Modeling in Engineering & Sciences, Vol. 77, No. 3, pp. 173-182, 2011 18.Minghui Wang, An Iterative Algorithm for the Least Squares Centrosymmetric Solution of a Matrix Equation, 2011 Fourth International Joint Conference on Computational Sciences and Optimization，16-21 19.Minghui Wang and Shanrui Hu, Iterative Methods for An Inverse Problem, International Journal of Mathematical and Computer Sciences, 7:1 2011,17-19 20.Sitao Ling, Minghui Wang and Musheng Wei ,Hermitian tridiagonal solution with the least norm to quaternionic least squares problem, Computer Physics Communications, 181(2010)481-488 21.Qiaohua Liu, Minghui Wang, Algebraic properties and perturbation results for the indefinite least squares problem with equality constraints, International Journal of Computer Mathematics, 87:2(2010)425-434 22.Minghui Wang, An iterative method for the least-squares symmetric solution of AXB+CYD=F and its application, International Journal of Mathematical and Computer Sciences, 6:4(2010),196-200 23.Minghui Wang, On Positive Definite Solutions of Quaternionic Matrix Equations, International Journal of Mathematical and Computer Sciences, 6:4(2010),173-176 24.Minghui Wang, Algorithm Q-LSQR for the least squares problem in quaternionic quantum theory, Computer Physics Communications, 181(2010), 1047-1050 25.Minghui Wang, Musheng Wei and Yan Feng, An iterative algorithm for a least squares solution of a matrix equation, International Journal of Computer Mathematics, 87:6(2010),1289-1298 26.Minghui Wang,Luping Xu, Juntao Zhang, The Alternating Projection Algorithm for the Symmetric Arrowhead Solution of Matrix Equation A×B=C, Open Science Journal of Mathematics and Application 4:4(2017): 23-27 27. Qiaohua Liu, Minghui Wang, On the weighting method for mixed least squares–total least squares problems, Numer Linear Algebra Appl. 2017;e2094. 28.Minghui wang , yuncui zhang, luping xu，positive definite solution of nonlinear matrix equations , Bull. Math.&Stat.Res(ISSN:2348-0580),Vol.5.Issue.3.2017 (July-Sept),117-122 29. Minghui Wang, Xiaowen Cui, Xuehan Cheng, Real Representation and Its Applications in Split Quaternionic Mechanics, IOSR Journal of Mathematics (IOSR-JM) Volume 14, Issue 3 Ver. III (May - June 2018), PP 38-43 30. 张云翠,王明辉,王光彬, 非奇异H-张量的新判定准则,聊城大学学报,2018(01):29-34+55. 31. Minghui Wang,Luping Xu, Juntao Zhang, Conjugate Gradient Algorithm for the Symmetric Arrowhead Solution of Matrix Equation AXB=C, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, 10:11(2016),570-57332.Minghui Wang, Lingling Yue, Iterative Methods for Least Squares Problem in Split Quaternionic Mechanics,New Horizons in Mathematical Physics, Vol.3, No.2 33. Minghui Wang, Lingling Yue, Situo Xu, Rufeng Chen, The Real Representation of Canonical Hyperbolic Quaternion Matrices and Its Applications ,Academic Journal of Applied Mathematical Sciences, 5:6 (2019) 62-68. 34. Minghui Wang, Lingling Yue and Qiaohua Liu, Elementary Transformation and its Applications for Split Quaternion Matrices,Adv. Appl. Clifffford Algebras, (2020) 30:1 35. Minghui Wang , Lingling Yue , Xiaowen Cui , Cheng Chen , Hongyan Zhou , Qin Ma and Bin Yu, Prediction of Extracellular Matrix Proteins by Fusing Multiple Feature Information, Elastic Net, and Random Forest Algorithm,Mathematics 2020, 8, 169 36.Minghui Wang, Xiaowen Cui,Bin Yu, Cheng Chen,Qin Ma,Hongyan Zhou, SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting, Neural Computing and Applications, (2020) 32:13843–13862 37. Minghui Wang, Xiaowen Cui, Shan Li , Xinhua Yang, Anjun Ma , Yusen Zhang , Bin Yu, DeepMal: Accurate prediction of protein malonylation sites by deep neural networks, Chemometrics and Intelligent Laboratory Systems 207 (2020) 104175 38. Minghui Wang , Lili Song , Kaisong Sun , Zhigang Jia，F-2D-QPCA: A Quaternion Principal Component Analysis Method for Color Face Recognition ，IEEE Access，VOLUME 8, 2020，217437-217446， 39. Minghui Wang , Lingling Yue , Xinhua Yang , Xiaolin Wang , Yu Han, Bin Yu * ，Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine，Biomedical Signal Processing and Control 68 (2021) 102630 40.Lili Song, Yaokui Xu, Minghui Wang * , Yue Leng，PreCar_Deep：A deep learning framework for prediction of protein carbonylation sites based on Borderline-SMOTE strategy，Chemometrics and Intelligent Laboratory Systems 218 (2021) 104428 41.Jingyuan Zhang, Minghui Wang* ，Research on Case Teaching of Numerical Solution of Nonlinear Equation Take the Calculation Fluid Friction Coefficient as an Example，Proceedings of the 2021 International Conference on Modern Management and Education Research (MMER 2021)，Advances in Social Science, Education and Humanities Research，ISSN：2352-5398，volume 577，236-239 42. Minghui Wang, Yinhuan Han* ，Research on the Teaching of Numerical Analysis for Postgraduates，Proceedings of the 2021 International Conference on Modern Management and Education Research (MMER 2021)，Advances in Social Science, Education and Humanities Research， ISSN：2352-5398，volume 577，94-97. 43. Minghui Wang ; Lili Song ; Yaqun Zhang ; Hongli Gao ; Lu Yan ; Bin Yu* ，Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy, Knowledge-Based Systems,2022(240):108191 44. 国内发明专利：一种基于四元数主成分分析的彩色人脸识别方法， 专利号：ZL 2020 1 0052582.3 发明人：王明辉 45. 许耀奎,宋丽丽,王明辉∗，基于深度学习预测赖氨酸巴豆酰化位点，伟德国际betvlctor1946学报（自然科学版），vol 43 No 6, 21-25 46.《工科数值分析》，王明辉，张静源，韩银环，电子工业出版社，2022 Ø 科研项目与获奖 1.国家自然科学基金(11001144):四元数矩阵和特殊矩阵中若干问题的计算与应用（主持）(2011.1-2013.12) 2.山东省教育厅基金(J11LA04)（山东省高等学校科技计划项目）: 特殊矩阵方程和Procrustes问题的计算和应用（主持）(2012.1-2014.12) 3.山东省优秀中青年科学家科研奖励基金(BS2012DX009) : 基于计算智能的基因调控网络重构与分析(2012.7-2014.12) （主持） 4.山东高等学校优秀科研成果二等奖，四元数矩阵和特殊矩阵中若干问题的计算与应用，王明辉，王广彬，丰艳，田保光，程尊水。 山东省教育厅 5.山东高等学校优秀科研成果二等奖，数值代数和特殊矩阵中若干问题的研究，王广彬，赵立宽，王明辉，程尊水。 山东省教育厅 6.国家自然科学基金面上项目协作课题：结构矩阵多项式的理论与算法及其在图像识别中的应用(11771188-01)，主持 7.山东省高等学校科技计划项目：基于机器学习的蛋白质结构与功能预测研究（J17KA159），2/9 8.山东省自然科学基金面上项目基于机器学习的蛋白质组学数据挖掘相关问题研究(ZR2018MC007)，2/10 9.国家自然科学基金面上项目(62172248)：基于深度学习的蛋白质组学数据挖掘相关问题研究,2/10 10.国家自然科学基金面上项目(12171210)：数据驱动大规模低秩逼近问题的保结构算法及在医学图像重构中的应用,2/10 Ø 教学项目与获奖 山东省研究生教育优质课程立项:数值分析（SDYKC17038），主持 2018年山东省研究生教育质量提升计划项目立项：2018 年山东省专业学位研究生教学案例库立项（SDYAL18063）（主持） 2019年第一批产学合作协同育人项目:新形势下《数值分析》优质课程建设（编号:c090ea58-dd79-4942-93f3-dffde1f4ee2d） 2020年度校级教学成果奖培育项目：基于新工科建设的大学数学分类分层教学改革与实践（主持） 2021年度山东省研究生教育思政示范课程：数值分析（主持） 伟德国际betvlctor1946 2021 年研究生教材建设项目，工科数值分析，（主持） 2021 年山东省研究生教育教学改革研究项目，研究生数学公共基础课程“课程思政”建设与实践(SDYJG21118)，（主持） 2016伟德国际betvlctor1946优秀教师 山东省大学生数学竞赛优秀组织个人奖、优秀指导教师 2008-2010年度伟德国际betvlctor1946优秀教学效果奖青年奖 2012山东高等学校优秀科研成果二等奖，四元数矩阵和特殊矩阵中若干问题的计算与应用（主持） 2020全国大学生数学竞赛国家级优秀指导教师 伟德国际betvlctor1946 2021 年研究生教学成果奖一等奖：“思政引领、案例驱动、实践强化”三位一体的研究生公共数学课分类教学改革（主持） Ø 社会兼职 美国数学评论《Mathematical Reviews》 评论员，山东省数学会高等数学专业委员会副理事长， 青岛市数学会副秘书长，山东省数学会第九届理事会理事，山东省首批创新创业教育导师库学科专业导师 Ø 研究生招生与培养 目前方向为线性和非线性矩阵方程及最小二乘问题的计算，以及四元数上相关问题，计算生物学，主要有设计算法、理论分析和上机计算， 所需基础为矩阵理论、Matlab、数值分析等，以后计划向应用方面扩展，如图像处理、多元统计中的一些矩阵计算问题，欢迎感兴趣的同学报考。 指导的研究生 |
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