宇振盛照片

宇振盛教授硕士生导师；博士生导师

研究方向：最优化理论与方法、统计优化、机器学习

办公室：理学院 813 室　邮箱：zhsh-yu@163.com　更新时间：2026-06-01

Yu ZhenshengProfessorMaster's Supervisor; Doctoral Supervisor

Research: Research areas include optimization theory and methods, statistical optimization, and machine learning. Name: Yuzhensheng Yu. Title: Professor. Main research fields: Optimization and Machine Learning.

Office: Room 813, Zhuoyue Building | Email: zhsh-yu@163.com | Last updated: 2026-06-01

个人/课题组主页
Personal/Lab Website

教育背景与工作经历

教育背景

  • 2001 年 - 2004 年 大连理工大学运筹学与控制论博士
  • 1998 年 - 2001 年 曲阜师范大学运筹学与控制论硕士
  • 1991 年 - 1995 年 曲阜师范大学数学与计算机科学学士

工作经历

  • 2021 年 7 月 - 至今 上海理工大学副教授
  • 2013 年 12 月 - 2014 年 12 月 同济大学博士后
  • 2005 年 1 月 - 2021 年 6 月 上海理工大学讲师
  • 2004 年 7 月 - 2005 年 12 月 新加坡国立大学访问学者

科研项目

  • 教学与科研项目 1.2020 年 -2022 年，《新工科专业集群建设的“加减乘”机制及人才培养路径研究》，教育部新工科研究与实践项目 2.2018 年 -2020 年，《三线并联，培养新工科人才“双创”能力的探索与实践》，教育部新工科研究与实践项目 3.2016 年 -2018 年，《工程教育联盟的模式及机制探索与研究》，中国高教学会高等教育科学研究“十三五”规划课题 4.2017 年 -2018 年，《三破三立打造创新创业教育升级版》，上海市教委重点推进项目 5.2012 年 1 月 -2015 年 12 月 , 基于非光滑分析与优化的混杂博弈研究，国家自然科学基金面上项目 6.2007 年 1 月 -2009 年 12 月 , 生存性与稳定性中的非光滑优化理论与方法，国家自然科学基金面上项目

代表性论著

  • 1. Yu ZhenSheng. Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints. IEEE Access, 2025, 12(12): 100.
  • 2. Yu ZhenSheng. The majorization minimization algorithm for solving nonconvex generalized Nash equilibrium problems. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2025, 102(8): 1112-1129.
  • 3. Yu ZhenSheng. Proximal alternating direction multiplier method for a class of nonlinear constrained optimization problems. Mathematics, 2025, 13(3): 408.
  • 4. Shen ChunGen, Yu ZhenSheng. A nonmonotone active-set semismooth Newton method for matrix approximation with group regularization. JOURNAL OF SCIENTIFIC COMPUTING, 2025, 103(2): 62.
  • 5. Hu JianHua, Xie Wen, Song Yan, Yu ZhenSheng. Cross-domain recommendation synchronized with feature alignment and joint deep matrix factorization. Small Microcomputer Systems, 2025, 46(1): 1-11.
  • 6. Lv XiaoChen, Yu ZhenSheng. A modified Levenberg–Marquardt algorithm for low order-value optimization problem. Journal of Applied Mathematics and Computing, 2024, 2024(2024): https://doi.org/10.1007/s12190-024-02140-1.
  • 7. Yu ZhenSheng. An efficient trust region algorithm with bounded iteration sequence for unconstrained optimization and its application in support vector machine. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2024, 449(449): 115956.
  • 8. Zhang LuChao, Liu XiPing, Jia Mei, Yu ZhenSheng. Piecewise conformable fractional impulsive differential system with delay: existence, uniqueness and Ulam stability. Journal of Applied Mathematics and Computing, 2024, 2024(2024): 1-28.
  • 9. Yang Qian, Yu ZhenSheng. Case-based innovation and exploration of the "Linear Algebra" course in the context of new engineering—taking the inverse matrix classroom as an example. Theoretical Mathematics, 2024, 14(10): 191-197.
  • 10. Yu ZhenSheng. A dynamic programming approach for generalized nearly isotonic optimization. Mathematical Programming Computation, 2023, 15(2): 195-225.
  • 11. Yu ZhenSheng, Tian PanJie, Yuan Yue. A smoothing Levenberg-Marquardt algorithm for linear weighted complementarity problem. AIMS MATHEMATICS, 2023, 4(8): 9862-9876.
  • 12. Zhang LuChao, Liu XiPing, Yu ZhenSheng, Jia Mei. The existence of positive solutions for high order fractional differential equations with sign changing nonlinearity and parameters. AIMS MATHEMATICS, 2023, 8(11): 25990-26006.
  • 13. Zang YiNuo, Qiu LiHong, Zong XiJiao, Zhang ShiYi, Huang QiLin, Yu ZhenSheng, He ChangXiang. Integer programming algorithms and applications for intelligent transportation. Advances in Applied Mathematics, 2023, 12(6): 2876-2884.
  • 14. Shi ShanShan, Yu ZhenSheng. Sequential effective set method for polyhedral-constrained non-smooth composite functions. Journal of University of Shanghai for Science and Technology, 2022, 44(4): 373-380.
  • 15. Yu ZhenSheng, Gao Feng. Homotopic alternating direction method for solving a class of inverse quadratic programming problems. Journal of University of Shanghai for Science and Technology, 2022, 44(3): 281-287.
  • 16. Xue WenJuan, Shen ChunGen, Yu ZhenSheng. Limited memory BFGS method for least squares semidefinite programming with banded structure. Journal of Systems Science and Complexity, 2022, 35(4): 1500-1519.
  • 17. Xu Jing, Yuan SanLing, Yu ZhenSheng, Tonghua Zhang. Near‐optimal control of a stochastic model for mountain pine beetles with pesticide application. STUDIES IN APPLIED MATHEMATICS, 2022, 1(1): 1.
  • 18. Li YuanYuan, Li JunXiang, Yu ZhenSheng, Dong, Jingxin, Zhou TingTing. A cosh-based smoothing Newton algorithm for the real-time pricing problem in smart grid. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 135(2): 107296.
  • 19. Hu Wentao, Yang Ke. 2D hybrid CrCl2(N2C4H4)(2) with tunable ferromagnetic half-metallicity. Journal of Materials Chemistry C, 2021, 9(18): 5985~5991.
  • 20. Yu ZhenSheng. A modified multivariate spectral gradient algorithm for solving absolute value equations. APPLIED MATHEMATICS LETTERS, 2021, 121(121): 107461.
  • 21. Yu ZhenSheng. An active set quasi-Newton method with projection step for monotone nonlinear equations. AIMS MATHEMATICS, 2021, 6(4): 3606-3623.
  • 22. Hu Wentao, Yang Ke. Ferromagnetic half-metallicity in YBaCo2O6 and spin-state driven metal-insulator transition. Journal of Materials Chemistry C, 2021, 9(31): 10112~10118.
  • 23. Zhensheng Yu,Xuyu Chen,Xudong Li, A dynamic programming approach for generalized nearly isotonic optimization, MATHEMATICAL PROGRAMMING COMPUTATION,online.
  • 24. Jing Xu, Zhensheng Yu, Tonghua Zhang, Sanling, Yuan, Near-optimal control of a stochastic model for mountain pine beetles with pesticide application, STUDIES IN APPLIED MATHEMATICS, 2022, online.
  • 25. Yuanyuan Li, junxiang Li, Zhengsheng Yu, et.al, A cosh-based smoothing Newton algorithm for the real-time pricing problem in smart grid, INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022:135.
  • 26. Zhensheng Yu, Lin Li， Peixin Li， A modified multivariate spectral gradient algorithm for solving absolute value equations， APPLIED MATHEMATICS LETTERS， 2021 ： 121.
  • 27. Zhensheng Yu， Peixin Li， An active set quasi-Newton method with projection step for monotone nonlinear equations， AIMS MATHEMATICS， 2021 ： 6 (4), pp.3606-3623.
  • 28. Zhensheng Yu， Peixin Li， A trust region method with project step for bound constrained optimization without compact condition， INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS， 2021 ： 98 (3), pp.449-460.
  • 29. Zhensheng Yu， Yangchen Liu, Xinyue Gan, Nonmonotone Inexact Newton Method for the Extended Linear Complementarity Problem,Numerical Functional Analysis and Optimization, 38 (2017),1458-2472.
  • 30. Ying Ji, Shaojian Qu, Zhensheng Yu, A New Method for Solving Multiobjective Bilevel Programs, Discrete Dynamics in Nature and Society Volume 2017, Article ID 2870420, 10 pages.
  • 31. Ying Ji, Shaojian Qu, Zhensheng Yu,Bi-level multi-objective optimization model for last mile delivery using a discrete approach,Journal of Difference Equations and Applications, 23 (2017),179-190.
  • 32. Yi Qin, Zhensheng Yu, A smoothing least square method for nonlinear complementarity problem, Mathematical Methods in the Applied Sciences, 36(2013), 1783–1789.
  • 33. Zhensheng Yu， Yanyan Zhu， Qianqian Cao， On the Convergence of Central Path and Generalized Proximal Point Method for Symmetric Cone Linear Programming， Applied Mathematics & Information Sciences. 7 （ 2013 ）， 2327–2333.
  • 34. Zhensheng Yu, Qin yi, A cosh-based smoothing Newton method for P0 nonlinear complementarity problem, Nonlinear Analysis: Real World Applications, (12)2011, 75-884.
  • 35. Zhensheng Yu, Jing Sun, Yi Qin, A multivariate spectral projected gradient method for bound constrained optimization, Journal of Computational and Applied Mathematics, 235 （ 2011 ） 2263-2269.
  • 36. Zhensheng Yu， Changxiang He， Yu Tian， Global and local convergence of a nonmonotone trust region algorithm for equality constrained optimization， Applied Mathematical Modeling 34 (2010) 1194–1202.
  • 37. Zhensheng Yu, Jinsong Zang, and Jingzhao Liu， A class of nonmonotone spectral memory gradient method, J. Korean Math. Soc. 47 (2010)63-70.
  • 38. Zhensheng Yu, Ji Lin and Jing Sun et.al， Spectral gradient projection method for monotone nonlinear equations with convex constraints， Applied Numerical Mathematics 59 (2009) 2416–2423.
  • 39. Zhenseng Yu, ke Su and Ji Lin, A smoothing LM method for the extended linear complementarity problem, Applied Mathematics Modeling, 33(2009)3409-3420.
  • 40. Ke Su, Zhensheng Yu, A modified SQP algorithm with global convergence,Computer & Mathematics with Applications, 57(2009)240-247.
  • 41. Zhensheng Yu, Qiang Li, A self adaptive trust region algorithm for the extended linear complementarity problem, Applications of Mathematics,54(2009) 53-62.
  • 42. Zhensheng Yu, Weiguo Zhang and Ji Lin, A Trust Region Algorithm with Memory for Equality Constrained Optimization, Numerical Functional Analysis and Optimization, 29(2008) 717-734.
  • 43. Zhensheng Yu, Dingguo Pu, A new nonmonotone line search technique for unconstrained optimization, Journal of Computational and Applied Mathematics, 219(2008) 134-144.
  • 44. Zhensheng Yu, Solving bound constrained optimization via a new nonmonotone spectral projected gradient method, Applied Numerical 3 Mathematics,58(2008)1340-1348.
  • 45. Zhensheng Yu, Weiguo Zhang and Baofeng Wu, Strong global convergence of an adaptive nonmonotone memory gradient algorithm for unconstrained optimization, Applied Mathematics and Computation, 185(2007) 681-688.
  • 46. Zhensheng Yu, Solving Semidefinite Programming Problems Via Alternating Direction Methods, Journal of Computational and Applied Mathematics. 193 （ 2006 ） 437-445.

主讲课程

  • 运筹学、数学规划、线性代数、概率论与数理统计、解析几何、工程数学

荣誉与社会服务

荣誉与社会服务

  • 上海市运筹学会理事 中国高等教育学会教育数学专业委员会常委理事 1.2019 年 -2020 年，指导学生获中国国际互联网 + 大学生创新创业大赛全国银奖 3 项，上海市金奖 3 项，上海市乡村振兴奖 2 项，优秀指导教师 2.2018 年，获国家级教学成果二等奖 3.2017 年，获上海市级教学成果特等奖 1 项， 1 等奖 2 项 4.2015 年 -2017 年，获全国高等学校创业教育先进个人 5.2017 年，获批国家级精品在线开放课程 6.2022 年，获上海市教学成果奖特等奖 1 项，一等奖 1 项，二等奖 1 项。

Education & Work Experience

Education

  • 2001 - 2004, PhD, Dalian University of Technology, Operations Research and Cybernetics.
  • 1998 - 2001, Master, Qufu Normal University, Operations Research and Cybernetics.
  • 1991 - 1995, Bachelor, Qufu Normal University, Mathematics and Computer Science.

Work Experience

  • Jul. 2021 - present, Associate Professor, University of Shanghai for Science and Technology.
  • Dec. 2013 - Dec. 2014, Postdoctoral fellow, Tongji University.
  • Jan. 2005 - Jun. 2021, Lecturer, University of Shanghai for Science and Technology.
  • Jul. 2004 - Dec. 2005, Visiting scholar, National University of Singapore.

Research Projects

  • Teaching and scientific research projects 1. 2020-2022, "Research on the "addition, subtraction, multiplication" mechanism and talent training path of the construction of new engineering professional clusters", New Engineering Research and Practice Project of the Ministry of Education 2. 2018-2020, "Exploration and practice of three-line parallel connection to cultivate the "double innovation" ability of new engineering talents", New Engineering Research and Practice Project of the Ministry of Education 3. 2016-2018 Year, "Exploration and Research on the Model and Mechanism of Engineering Education Alliance", "Thirteenth Five-Year Plan" Project for Higher Education Scientific Research of China Higher Education Association 4. 2017-2018, "Three Breaks and Three Stands to Create an Upgraded Version of Innovation and Entrepreneurship Education", Shanghai Municipal Education Commission Key Promotion Project 5. January 2012 - December 2015, Hybrid Game Research Based on Non-Smooth Analysis and Optimization, National Natural Science Foundation General Project 6. January 2007 -December 2009, non-smooth optimization theory and method in survivability and stability, National Natural Science Foundation of China general project

Selected Publications

  • 1. Yu ZhenSheng. Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints. IEEE Access, 2025, 12(12): 100.
  • 2. Yu ZhenSheng. The majorization minimization algorithm for solving nonconvex generalized Nash equilibrium problems. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2025, 102(8): 1112-1129.
  • 3. Yu ZhenSheng. Proximal alternating direction multiplier method for a class of nonlinear constrained optimization problems. Mathematics, 2025, 13(3): 408.
  • 4. Shen ChunGen, Yu ZhenSheng. A nonmonotone active-set semismooth Newton method for matrix approximation with group regularization. JOURNAL OF SCIENTIFIC COMPUTING, 2025, 103(2): 62.
  • 5. Hu JianHua, Xie Wen, Song Yan, Yu ZhenSheng. Cross-domain recommendation synchronized with feature alignment and joint deep matrix factorization. Small Microcomputer Systems, 2025, 46(1): 1-11.
  • 6. Lv XiaoChen, Yu ZhenSheng. A modified Levenberg–Marquardt algorithm for low order-value optimization problem. Journal of Applied Mathematics and Computing, 2024, 2024(2024): https://doi.org/10.1007/s12190-024-02140-1.
  • 7. Yu ZhenSheng. An efficient trust region algorithm with bounded iteration sequence for unconstrained optimization and its application in support vector machine. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2024, 449(449): 115956.
  • 8. Zhang LuChao, Liu XiPing, Jia Mei, Yu ZhenSheng. Piecewise conformable fractional impulsive differential system with delay: existence, uniqueness and Ulam stability. Journal of Applied Mathematics and Computing, 2024, 2024(2024): 1-28.
  • 9. Yang Qian, Yu ZhenSheng. Case-based innovation and exploration of the "Linear Algebra" course in the context of new engineering—taking the inverse matrix classroom as an example. Theoretical Mathematics, 2024, 14(10): 191-197.
  • 10. Yu ZhenSheng. A dynamic programming approach for generalized nearly isotonic optimization. Mathematical Programming Computation, 2023, 15(2): 195-225.
  • 11. Yu ZhenSheng, Tian PanJie, Yuan Yue. A smoothing Levenberg-Marquardt algorithm for linear weighted complementarity problem. AIMS MATHEMATICS, 2023, 4(8): 9862-9876.
  • 12. Zhang LuChao, Liu XiPing, Yu ZhenSheng, Jia Mei. The existence of positive solutions for high order fractional differential equations with sign changing nonlinearity and parameters. AIMS MATHEMATICS, 2023, 8(11): 25990-26006.
  • 13. Zang YiNuo, Qiu LiHong, Zong XiJiao, Zhang ShiYi, Huang QiLin, Yu ZhenSheng, He ChangXiang. Integer programming algorithms and applications for intelligent transportation. Advances in Applied Mathematics, 2023, 12(6): 2876-2884.
  • 14. Shi ShanShan, Yu ZhenSheng. Sequential effective set method for polyhedral-constrained non-smooth composite functions. Journal of University of Shanghai for Science and Technology, 2022, 44(4): 373-380.
  • 15. Yu ZhenSheng, Gao Feng. Homotopic alternating direction method for solving a class of inverse quadratic programming problems. Journal of University of Shanghai for Science and Technology, 2022, 44(3): 281-287.
  • 16. Xue WenJuan, Shen ChunGen, Yu ZhenSheng. Limited memory BFGS method for least squares semidefinite programming with banded structure. Journal of Systems Science and Complexity, 2022, 35(4): 1500-1519.
  • 17. Xu Jing, Yuan SanLing, Yu ZhenSheng, Tonghua Zhang. Near‐optimal control of a stochastic model for mountain pine beetles with pesticide application. STUDIES IN APPLIED MATHEMATICS, 2022, 1(1): 1.
  • 18. Li YuanYuan, Li JunXiang, Yu ZhenSheng, Dong, Jingxin, Zhou TingTing. A cosh-based smoothing Newton algorithm for the real-time pricing problem in smart grid. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 135(2): 107296.
  • 19. Hu Wentao, Yang Ke. 2D hybrid CrCl2(N2C4H4)(2) with tunable ferromagnetic half-metallicity. Journal of Materials Chemistry C, 2021, 9(18): 5985~5991.
  • 20. Yu ZhenSheng. A modified multivariate spectral gradient algorithm for solving absolute value equations. APPLIED MATHEMATICS LETTERS, 2021, 121(121): 107461.
  • 21. Yu ZhenSheng. An active set quasi-Newton method with projection step for monotone nonlinear equations. AIMS MATHEMATICS, 2021, 6(4): 3606-3623.
  • 22. Hu Wentao, Yang Ke. Ferromagnetic half-metallicity in YBaCo2O6 and spin-state driven metal-insulator transition. Journal of Materials Chemistry C, 2021, 9(31): 10112~10118.
  • 23. Zhensheng Yu,Xuyu Chen,Xudong Li, A dynamic programming approach for generalized nearly isotonic optimization, MATHEMATICAL PROGRAMMING COMPUTATION,online.
  • 24. Jing Xu, Zhensheng Yu, Tonghua Zhang, Sanling, Yuan, Near-optimal control of a stochastic model for mountain pine beetles with pesticide application, STUDIES IN APPLIED MATHEMATICS, 2022, online.
  • 25. Yuanyuan Li, junxiang Li, Zhengsheng Yu, et.al, A cosh-based smoothing Newton algorithm for the real-time pricing problem in smart grid, INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022:135.
  • 26. Zhensheng Yu, Lin Li， Peixin Li， A modified multivariate spectral gradient algorithm for solving absolute value equations， APPLIED MATHEMATICS LETTERS， 2021 ： 121.
  • 27. Zhensheng Yu， Peixin Li， An active set quasi-Newton method with projection step for monotone nonlinear equations， AIMS MATHEMATICS， 2021 ： 6 (4), pp.3606-3623.
  • 28. Zhensheng Yu， Peixin Li， A trust region method with project step for bound constrained optimization without compact condition， INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS， 2021 ： 98 (3), pp.449-460.
  • 29. Zhensheng Yu， Yangchen Liu, Xinyue Gan, Nonmonotone Inexact Newton Method for the Extended Linear Complementarity Problem,Numerical Functional Analysis and Optimization, 38 (2017),1458-2472.
  • 30. Ying Ji, Shaojian Qu, Zhensheng Yu, A New Method for Solving Multiobjective Bilevel Programs, Discrete Dynamics in Nature and Society Volume 2017, Article ID 2870420, 10 pages.
  • 31. Ying Ji, Shaojian Qu, Zhensheng Yu,Bi-level multi-objective optimization model for last mile delivery using a discrete approach,Journal of Difference Equations and Applications, 23 (2017),179-190.
  • 32. Yi Qin, Zhensheng Yu, A smoothing least square method for nonlinear complementarity problem, Mathematical Methods in the Applied Sciences, 36(2013), 1783–1789.
  • 33. Zhensheng Yu， Yanyan Zhu， Qianqian Cao， On the Convergence of Central Path and Generalized Proximal Point Method for Symmetric Cone Linear Programming， Applied Mathematics & Information Sciences. 7 （ 2013 ）， 2327–2333.
  • 34. Zhensheng Yu, Qin yi, A cosh-based smoothing Newton method for P0 nonlinear complementarity problem, Nonlinear Analysis: Real World Applications, (12)2011, 75-884.
  • 35. Zhensheng Yu, Jing Sun, Yi Qin, A multivariate spectral projected gradient method for bound constrained optimization, Journal of Computational and Applied Mathematics, 235 （ 2011 ） 2263-2269.
  • 36. Zhensheng Yu， Changxiang He， Yu Tian， Global and local convergence of a nonmonotone trust region algorithm for equality constrained optimization， Applied Mathematical Modeling 34 (2010) 1194–1202.
  • 37. Zhensheng Yu, Jinsong Zang, and Jingzhao Liu， A class of nonmonotone spectral memory gradient method, J. Korean Math. Soc. 47 (2010)63-70.
  • 38. Zhensheng Yu, Ji Lin and Jing Sun et.al， Spectral gradient projection method for monotone nonlinear equations with convex constraints， Applied Numerical Mathematics 59 (2009) 2416–2423.
  • 39. Zhenseng Yu, ke Su and Ji Lin, A smoothing LM method for the extended linear complementarity problem, Applied Mathematics Modeling, 33(2009)3409-3420.
  • 40. Ke Su, Zhensheng Yu, A modified SQP algorithm with global convergence,Computer & Mathematics with Applications, 57(2009)240-247.
  • 41. Zhensheng Yu, Qiang Li, A self adaptive trust region algorithm for the extended linear complementarity problem, Applications of Mathematics,54(2009) 53-62.
  • 42. Zhensheng Yu, Weiguo Zhang and Ji Lin, A Trust Region Algorithm with Memory for Equality Constrained Optimization, Numerical Functional Analysis and Optimization, 29(2008) 717-734.
  • 43. Zhensheng Yu, Dingguo Pu, A new nonmonotone line search technique for unconstrained optimization, Journal of Computational and Applied Mathematics, 219(2008) 134-144.
  • 44. Zhensheng Yu, Solving bound constrained optimization via a new nonmonotone spectral projected gradient method, Applied Numerical 3 Mathematics,58(2008)1340-1348.
  • 45. Zhensheng Yu, Weiguo Zhang and Baofeng Wu, Strong global convergence of an adaptive nonmonotone memory gradient algorithm for unconstrained optimization, Applied Mathematics and Computation, 185(2007) 681-688.
  • 46. Zhensheng Yu, Solving Semidefinite Programming Problems Via Alternating Direction Methods, Journal of Computational and Applied Mathematics. 193 （ 2006 ） 437-445.

Courses

  • Operations research, mathematical programming, linear algebra, probability theory and mathematical statistics, analytic geometry, engineering mathematics

Honors and Service

Honors and Service

  • Director of the Shanghai Operations Research Society Member of the Standing Committee of the Educational Mathematics Professional Committee of the China Higher Education Association 1. From 2019 to 2020, guided students to win 3 national silver awards, 3 Shanghai gold awards, 2 Shanghai Rural Revitalization Awards, and outstanding instructors in the China International Internet + College Student Innovation and Entrepreneurship Competition. 2. In 2018, won the second prize for national teaching achievements. 3. In 2017, won 1 special prize and 1st prize for Shanghai municipal teaching achievements. 2 items 4. From 2015 to 2017, he was awarded the Advanced Individual in Entrepreneurship Education in National Colleges and Universities. 5. In 2017, he was approved as a national-level high-quality online open course. 6. In 2022, he won 1 special prize, 1 first prize, and 1 second prize in the Shanghai Teaching Achievement Award.

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