校园门户 校园邮箱 English
学院介绍师资队伍学科建设科学研究本科生教育研究生教育学生工作招生工作合作交流党建与思政人才招聘
  分析与函数论教研室
 部门 
 职称 
快速通道
 
相关链接
 
科研系统 图书馆 教务系统
财务系统 OA系统 学院邮箱
分析与函数论教研室
当前位置: 首页 >> 师资队伍 >> 教师简介 >> 部门 >> 分析与函数论教研室 >> 正文
李觉友
2019-04-17 16:34     (点击: )

个 人 信 息

姓名

李觉友

性别

民族

出生日期

1980.9

政治面貌

中共党员

职称/职务

教授

毕业学校

澳大利亚

联邦大学

学历

博士

博导/硕导

硕导

学科专业

运筹学与控制论 

研究方向

最优化理论与算法,机器学习中的最优化

联系方式

lijueyou@cqnu.edu.cn

个人简历

李觉友,重庆师范大学 数学科学学院,教授,博士,硕导

教育经历

2015/08 - 2016/08, 澳大利亚悉尼大学电气与信息工程学院,博士后(国家留学基金委全额资助)

2011/03 - 2014/12,澳大利亚联邦大学信息与优化研究中心,运筹学与控制论,博士

2003/09 - 2006/06,四川师范大学数学学院,基础数学,硕士

1999/09 - 2003/06,四川师范大学数学学院,数学与应用数学,学士

工作经历

2018/12      至今,重庆师范大学,数学科学学院,教授

2006/07 - 2018/11,重庆师范大学,数学科学学院,副教授

2015/08 - 2016/08, 悉尼大学,电气与信息工程学院,博士后

2014/08 - 2014/09,悉尼大学,电气与信息工程学院,访问学者

2019/01 - 2019/04,德克萨斯农工大学卡塔尔分校,学术访问

2017/01 - 2017/02,德克萨斯农工大学卡塔尔分校,学术访问

研究兴趣:最优化方法和理论,大规模随机优化,分布式优化,稀疏优化,智能电网中的分布式优化,机器学习中的最优化方法

所授课程:数学分析,高等数学,实变函数,模糊数学,概率与数理统计,最优化计算方法

 

 

 

主要研究项目

²国家自然科学基金面上项目,11971083机器学习中大规模非凸优化问题的分布式并行算法研究及其应用2020/01-2023/1252万元,主持

²国家自然科学基金青年项目,11501070一类非凸结构型优化问题的算法研究及应用2016/01-2018/1218万元,主持

²重庆市自然科学基金(面上项目)cstc2020jcyj-msxmX0287,  一类非凸分布式在线学习的加速算法研究及其应用,2020/07-2023/065万元,主持

²重庆市教委科学技术研究项目,KJQN201800520,快速分布式在线学习算法研究及应用,2018/06-2021/062万元,主持

²重庆市自然科学基金项目,cstc2017jcyjAX0253,一类分布式非凸优化问题的快速计算及其在字典学习中的应用,2017/06-2020/065万元,主持

²重庆市研究生教育优质课程建设,2019-48,最优化计算方法,2019/07-2021/062万元,主持

²重庆市教委研究生教改重点项目 yjg20162021,教育国际化视野下的地方高师院校双语教学的研究与实践 以数学学科为例,2016/03-2019/033万元,主持

²重庆市自然科学基金项目,cstc2015jcyjA00011,非凸稀疏优化问题的算法研究及其在非负矩阵分解中的应用,2015/10-2018/105万元,主持,已结题

²重庆市教委科技项目,KJ1500301,可分凸优化的快速计算及其在电网收费中的应用,2015/10-2017/102万元,主持,已结题

²博士科研启动项目,15XLB005,可分凸优化问题的快速计算及其在电网收费中的应用,   2015/04-2018/043万元,主持,已结题

²重庆市教委项目,KJ120616, 随机OD需求估计优化模型与算法研究,2012/01-2013/122万元,主持,已结题

²国家自然科学基金面上项目,11671062,向量优化问题统一解的Gerstewitz非线性标量化研究. 2017/01-2020/12, 48万元,参研(3

²国家自然科学基金青年项目,11401064,线性不等式约束非凸二次规划的全局最优性条件及最优化方法研究,2015/01-2017/1222万元,参研(2

²国家自然科学基金面上项目,11471062,多项式优化的最优性条件与最优化算法及其应用,2015/01-2018/1270万元,参研(5

²重庆市自然科学基金重点项目,cstc2013jjB00001,全局最优性条件和最优化算法研究及其在信号处理中的应用,2013/03-2015/1220万元,参研(6

²重庆市自然科学基金一般项目,cstc2013jcyjA00029,基于不完善通讯网络的分布式优化问题研究,2013/03-2015/125万元,参研(2

²国家自然科学基金专项,11126348,向量优化的近似解研究,2012/01-2012/123万元、参研(3

²教育部科技重点项目,自治切换系统及其最优控制问题研究,2012/01-2012/122万元,参研(4

²与马上消费金融有限公司横向课题,201806000111,用于人脸比对的身份证网纹照片修复技术,2018/06-2019/05,  40万元,参加

²与马上消费金融有限公司横向课题,201901000113,基于RGBD传感器的人脸活体检测研究,2019/01-2019/12, 50万元,参加

代表性成果

uJ.Y. Li, C.Y. Gu, Z.Y. Wu, T.W. Huang*, Online  learning algorithm for distributed convex Optimization with time-varying  coupled constraints and bandit feedback. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.2990796, 2020. SCI 1 

uJ.Y. Li*, C.Y. Gu, Z.Y. Wu, Online distributed stochastic  learning algorithm for convex optimization in time-varying directed networks.  Neurocomputing, https://doi.org/10.1016/j.neucom.2019.03.094, 2019. (SCI 2)

uC.Y. Gu, J.Y. Li*, Z.Y. Wu, Distributed  convex optimization with coupling constraints over time-varying directed  graphs, Journal of Industrial and Management Optimization, doi:10.3934/jimo.20200612020. (SCI 4, 通讯作者)

uY.H. Huang, H. Zang, X. Cheng, H. Wu,  J.Y. Li*, Data-driven soft sensor for animal cell suspension culture  process based on DRVM. Applied Soft Computing, 2019, 77: 34–40. (SCI 2, 通讯作者)

uC.Y. Gu, J.Y. Li*, Z.Y. Wu, An adaptive  online learning algorithm for distributed convex optimization with coupled constraints  over unbalanced directed graphs, Journal of the Franklin Institute, 356(13):7548-7570,  Step. 2019 (SCI 1, 通讯作者)

uC.Y. Gu, Z.Y. Wu, J.Y. Li*, Regularized dual  gradient distributed method for constrained convex optimization over  unbalanced directed graphs, Numerical Algorithms, 2019, DOI:  10.1007/s11075-019-00746-2. (SCI 2,通讯作者)

uB. Zhang B, Y. Pu, Y. Wang, J.Y. Li*, Forecasting Hotel Accommodation Demand Based on  LSTM Model Incorporating Internet Search Index, Sustainability, 11(17): 4708,  2019. (SCI 2,通讯作者)

uJ.Y. Li,C.J. Li, Z.Y. Wu, X.Y. Wang, K.L. Teo, C.Z. Wu,  Sparsity-promoting distributed charging control for plug-in  electric vehicles in distribution networks, Applied Mathematical Modelling, 58:111-127, June  2018 .  (SCI 1) 

uG. Chen, J.Y. Li*, A  fully distributed ADMM-based dispatch approach for virtual power plant  problems, Applied Mathematical Modelling,58:300-312, June  2018. (SCI 1, 通讯作者)

uJ.Y. Li, C.Y. Gu, Z.Y. Wu, C.Z. Wu, Distributed  optimization methods for non-convex problems with inequality constraints over  time-varying networks, Complexity, vol. 2017, Article ID 3610283, 10 pages,  2017. DOI:10.1155/2017/3610283.  (SCI 1)

uJ.Y. Li, C.J. Li , Y. Xu , Z.Y. Dong,  K.P. Wong , T.W. Huang, Noncooperative game-based distributed charging  control for plug-in electric vehicles in distribution networks, IEEE Transactions on  Industrial Informatics, 14(1):301-310,2018.   (SCI 1)

uJ.Y. Li, G.Q. Li, Z.Y. Wu, C.Z. Wu, Stochastic mirror descent method for distributed multi-agent  over networks, Optimization Letter,  12(6):1179–1197, 2018.  (SCI 3)

uJ.Y.Li, G.  Chen, Z.Y. Wu, X. He, Distributed subgradient method for  multi-agent optimization with quantized communication, Mathematical Methods in the  Applied Sciences, 40(4), 1201-1213, 2017.  (SCI 3)

uJ.Y. Li, C.Z.  Wu, Z.Y. Wu, Incremental gradient-free  method for nonsmooth distributed optimization, Journal of Industrial and  Management Optimization, 2017, 13(4): 1841-1857. (SCI 4)

uJ.Y. Li, G.  Chen, Z.Y. Dong, Z.Y. Wu, A fast dual proximal-gradient method for separable  convex optimization with linear coupled constraints, Computational  Optimization and Applications, 2016, 64(3):671-697.   (SCI 2)

uJ.Y. Li, G.  Chen, Z.Y. Dong, Z.Y. Wu, Distributed mirror descent method for multi-agent  optimization with delay. Neurocomputing,  2016, 177: 643-650.  (SCI 2)

uJ.Y. Li, Z.Y.  Wu, C.Z. Wu, Q. Long, X.Y. Wang, An inexact dual fast gradient-projection  method for separable convex optimization with linear coupled constraints. Journal Optimization Theory and  Applications, 2016, 168(1): 153-171.   (SCI 2)

uJ.Y. Li, Z.Y.  Wu, C.Z. Wu, Q, Long, X.Y. Wang, A fast dual gradient method for separable  convex optimization via smoothing, Pacific Journal of Optimization, 2016, 12(2)289-305.   (SCI 4)

uJ.Y. Li, G.  Chen, Z.Y. Dong, Z.Y. Wu, M.H. Yao, Distributed mirror descent method for saddle  point problems over directed graphs, Complexity,  21(2): 178–190, 2016.  (SCI 1)

uJ.Y. Li, C.Z. Wu, Z.Y. Wu, Q.Long, Gradient-free method for nonsmooth  distributed optimization, Journal of Global  Optimization, 2015, 61(2):325-340.   (SCI 2)

uJ.Y. Li, C.Z. Wu,  Z.Y. Wu, Q. Long, Distributed proximal-gradient methods for convex  optimization with inequality constraints, ANZIAM Journal, 2014, 56:160-178.  (SCI 3)

uW. Zhang, J.Y. Li, G. Chen, Z.Y. Dong,  K.P. Wong, A Comprehensive Model With Fast Solver for  Optimal Energy Scheduling in RTP Environment, IEEE Transactions on Smart Grid, 2017, 8(5): 2314-2323.   (SCI 1)

uJ.Y. Li, C.J.  Li, Z.Y. Wu, J.J.Huang, A feedback neural network for solving convex  quadratic bi-level programming problems, Neural Computing and Applications, 2014, 25:603-611.   (SCI 3)

uJ.Y. Li, M.A.  Noor, On properties of convex fuzzy mappings, Fuzzy Sets and Systems, 2013, 219:113-125.  (SCI  2)

uJ.Y. Li, Z.Y.  Wu,Q LongA New Objective Penalty Function Approach for Solving  Constrained Minimax Problems, Journal of the  Operations Research Society of China, 2014, 2: 93-108  (EI)

uJ.Y. Li, Y.  Gao, Non-differentiable  multiobjective mixed symmetric duality under generalized convexity,  Journal of Inequalities and Applications, 2011,  23:1-10. (SCI 3)

uJ.Y. Li, M.A.  Noor, On characterizations of preinvex fuzzy mappings, Computers and Mathematics with  Applications, 2010, 59(2):933-940. (SCI 2)

uY. Zhang, J.Y. Li, K. Meng, Z.Y. Dong, Z.  Yu, K.P. Wong. Voltage regulation in distribution network using battery  storage units via distributed optimization. In Power System Technology (POWERCON), 2016 IEEE International  Conference on (pp. 1-6). IEEE. DOI: 10.1109/POWERCON.2016.7754056   (EI)

uW. Zhang, G. Chen, Z.Y. Dong, J.Y. Li, Z.Y.Wu,  An efficient method for optimal dynamic pricing strategy in smart grid. 2014  IEEE Power & Energy Society. Doi: 10.1109/PESGM.2014.6939401  (EI)

uW. Zhang, G. Chen,Y. Sun, Z.Y. Dong, J.Y.  Li, A dynamic game behavior:demand side management based on utility  maximization with renewable energy and storage integration.2014 IEEE Power Engineering Conference.  Doi: 10.1109/AUPEC.2014.6966581  (EI)

uQ. Long, C.Z. Wu, X.Y. Wang, L. Jiang, J.Y.  Li, A multi-objective genetic algorithm based on a discrete selection procedure,  Mathematical Problems in  Engineering, 2015, Article ID 349781, http://www.hindawi.com/journals/mpe/aa/349781/.    (SCI 3)

uM.A. Noor, K.I. Noor, M.U. Awan, J.Y.  Li, On Hermite-Hadamard Inequalities for h-Preinvex Functions, Filomat, 2014, 28(7):  1463-1474.    (SCI 3)

 

关闭窗口

重庆师范大学数学科学学院  地址:重庆市沙坪坝区大学城中路37号 汇贤楼
电话:023-65362798  邮编:401331