头像
刘庆山
教授
数学学院
系统科学系
电话:
025-52090590
邮箱:
qsliu@seu.edu.cn
地址:
九龙湖图书馆547
邮编:
211189
  • 个人简介 刘庆山,男,教授,1980年出生。近年来,主要从事神经网络动力学优化、多智能体分布式优化、群体智能优化算法、稀疏表示算法和模式识别等方向的研究工作。现已在国内外重要学术刊物,如IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Cybernetics、IEEE Transactions on Automatic Control、IEEE Transactions on Systems, Man, and Cybernetics - Systems、Neural Networks和Neural Computation等国际期刊和国际会议上发表学术论文50余篇(第一作者40余篇),其中IEEE Transactions论文18篇(第一作者14篇),SCI收录论文30余篇;作为编辑参与出版专著5期和会议论文集5本;获得2011年度教育部高等学校自然科学奖一等奖(排名第二),2015年度湖北省自然科学奖二等奖(排名第一),2011年度IEEE计算智能学会IEEE Transactions on Neural Networks杰出论文奖(排名第一),2012年度亚太神经网络联合会青年研究者奖(独立);入选2012年度教育部“新世纪优秀人才支持计划”;2014年至2017年连续四年入选爱思唯尔(Elsevier)中国高被引学者(Most Cited Chinese Researchers)榜单。
    工作经历
  • 2018/03-至今,东南大学,数学学院,教授
  • 2014/05-2018/03,华中科技大学,自动化学院,教授
  • 2008/09-2014/04,东南大学,自动化学院,副教授
  • 2016/05-2016/06,香港城市大学,计算机科学系,访问学者
  • 2013/05-2013/07,美国德克萨斯A&M大学卡塔尔分校,数学科学系,访问学者
  • 2010/02-2010/08,香港中文大学,机械与自动化工程学系,博士后
  • 2009/08-2009/11,香港城市大学,制造工程及工程管理学系,高级研究员
  • 教育经历
  • 2005/08-2008/07,香港中文大学,机械与自动化工程学系,博士
  • 2002/09-2005/03,东南大学,数学学院,硕士
  • 1997/09-2001/07,安徽师范大学,数学与计算机科学学院,学士
  • 研究方向

          神经网络;计算智能;分布式优化;多智能体系统

    期刊论文

    1. X. Xu, C. Zhang, Q. Liu, J. Cao, and A. Alsaedi, “Adaptive stabilization for a class of uncertain p-normal nonlinear systems via a generalized homogeneous domination technique,” Nonlinear Dynamics, 2018, in press.

    2. B. Xu and Q. Liu, “Iterative projection based sparse reconstruction for face recognition,” Neurocomputing, vol. 284, pp. 99–106, 2018.

    3. Q. Liu, S. Yang, and Y. Hong, “Constrained consensus algorithms with fixed step size for distributed convex optimization over multiagent networks,” IEEE Transactions on Automatic Control, vol. 62, no. 8, pp. 4259–4265, Aug. 2017.

    4. S. Yang, Q. Liu, and J. Wang, “A collaborative neurodynamic approach to multiple-objective distributed optimization,” IEEE Transactions on Neural Networks and Learning Systems, 2017, in press.

    5. S. Yang, Q. Liu, and J. Wang, “A multi-agent system with a proportional-integral protocol for distributed constrained optimization,” IEEE Transactions on Automatic Control, vol. 62, no. 7, pp. 3461–3467, July 2017.

    6. Q. Liu, S. Yang, and J. Wang, “A collective neurodynamic approach to distributed constrained optimization,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 8, pp. 1747–1758, Aug. 2017.

    7. S. Yang, Q. Liu, and J. Wang, “Distributed optimization based on a multi-agent system in the presence of communication delays,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 5, pp. 717–728, May 2017.

    8. Q. Liu and J. Wang, “L1-minimization algorithms for sparse signal reconstruction based on a projection neural network,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 3, pp. 698–707, Mar. 2016.

    9. Q. Liu and J. Wang, “A second-order multi-agent network for bound-constrained distributed optimization,” IEEE Transactions on Automatic Control, vol. 60, no. 12, pp. 3310–3315, Dec. 2015.

    10. Q. Liu and J. Wang, “A projection neural network for constrained quadratic minimax optimization,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 11, pp. 2891–2900, Nov. 2015.

    11. Q. Liu, T. Huang, and J. Wang, “One-layer continuous- and discrete-time projection neural networks for solving variational inequalities and related optimization problems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 7, pp. 1308–1318, July 2014.

    12. Q. Liu and J. Wang, “A one-layer projection neural network for nonsmooth optimization subject to linear equalities and bound constraints,” IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 5, pp. 812–824, May 2013.

    13. Q. Liu, C. Dang, and T. Huang, “A one-layer recurrent neural network for real-time portfolio optimization with probability criterion,” IEEE Transactions on Cybernetics, vol. 43, no. 1, pp. 14–23, Feb. 2013.

    14. Q. Liu and T. Huang, “A neural network with a single recurrent unit for associative memories based on linear optimization,” Neurocomputing, vol. 118, pp. 263–267, Oct. 2013.

    15. Q. Liu, Z. Guo, and J. Wang, “A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization,” Neural Networks, vol. 26, pp. 99–109, Feb. 2012.

    16. Z. Guo, Q. Liu, and J. Wang, “A one-layer recurrent neural network for pseudoconvex optimization subject to linear equality constraints,” IEEE Transactions on Neural Networks, vol. 22, no. 12, pp. 1892–1900, Dec. 2011.

    17. Q. Liu and J. Wang, “A one-layer recurrent neural network for constrained nonsmooth optimization,” IEEE Transactions on Systems, Man and Cybernetics-Part B, vol. 41, no. 5, pp. 1323–1333, Oct. 2011.

    18. Q. Liu and J. Cao, “Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints,” Neurocomputing, vol. 74, no. 17, pp. 3494–3501, Oct. 2011.

    19. Q. Liu and J. Wang, “Finite-time convergent recurrent neural network with a hardlimiting activation function for constrained optimization with piecewise-linear objective functions,” IEEE Transactions on Neural Networks, vol. 22, no. 4, pp. 601–613, Apr. 2011.

    20. Q. Liu, C. Dang, and J. Cao, “A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation,” IEEE Transactions on Neural Networks, vol. 21, no. 7, pp. 1140–1148, July 2010.

    21. Q. Liu, J. Cao, and G. Chen, “A novel recurrent neural network with finite-time convergence for linear programming,” Neural Computation, vol. 22, no. 11, pp. 2962–2978, 2010.

    22. Q. Liu and J. Cao, “A recurrent neural network based on projection operator for extended general variational inequalities,” IEEE Transactions on Systems, Man and Cybernetics-Part B, vol. 40, no. 3, pp. 928–938, June 2010.

    23. Q. Liu and Y. Yang, “Global exponential system of projection neural networks for system of generalized variational inequalities and related nonlinear minimax problems,” Neurocomputing, vol. 73, no. 10–12, pp. 2069–2076, June 2010.

    24. Q. Liu and J. Wang, “A one-layer recurrent neural network with a discontinuous hard-limiting activation function for quadratic programming,” IEEE Transactions on Neural Networks, vol. 19, no. 4, pp. 558–570, Apr. 2008.

    25. Q. Liu and J. Wang, “A one-layer recurrent neural network with a discontinuous activation function for linear programming,” Neural Computation, vol. 20, no. 5, pp. 1366–1383, 2008.

    26. Q. Liu and J. Wang, “Two k-winners-take-all networks with discontinuous activation functions,” Neural Networks, vol. 21, no. 2–3, pp. 406–413, 2008.

    27. Q. Liu and J. Cao, “Improved global exponential stability criteria of cellular neural networks with time-varying delays,” Mathematical and Computer Modelling, vol. 43, no. 3–4, pp. 423–432, 2006.

    28. Q. Liu, J. Cao, and Y. Xia, “A delayed neural network for solving linear projection equations and its analysis,” IEEE Transactions on Neural Networks, vol. 16, no. 4, pp. 834–843, July 2005.

    29. Q. Liu and J. Cao, “Invariant set and attractor of nonautonomous functional differential systems: a decomposition approach,” Nonlinear Dynamics, vol. 37, no. 1, pp. 19–29, 2004.

  • 奖励和荣誉

    1. 2015年,湖北省自然科学奖二等奖(排名第一),获奖项目:微分系统的动态演化分析与优化模型设计

    2. 2015年,IEEE控制论汇刊杰出审稿人奖

    3. 2014年-2017年,入选爱思唯尔(Elsevier)中国高被引学者(Most Cited Chinese Researchers)榜单

    4. 2012年,入选教育部“新世纪优秀人才支持计划”

    5. 2012年,亚太神经网络联合会青年研究者奖(独立)

    6. 2011年,教育部高等学校自然科学奖一等奖(排名第二),获奖项目:神经动力学优化模型及应用

    7. 2011年,IEEE计算智能学会IEEE Transactions on Neural Networks杰出论文奖(排名第一),论文题目: A one-layer recurrent neural network with a discontinuous hard-limiting activation function for quadratic programming,第一作者

    8. 2009年,科学新闻与爱思唯尔(Elsevier)科技部主办的“SCOPUS寻找未来科学之星”信息领域“青年科学之星”奖

    9. 2006年,江苏省优秀硕士学位论文,论文题目:求解优化问题的神经网络方法


    科研项目

    1. 国家自然科学基金面上项目,61473333,基于神经网络和群体智能的稀疏表示算法研究,2015/01-2018/12,63万元,在研,主持

    2. 教育部“新世纪优秀人才支持计划”,NCET-12-0114,计算智能,2013/01-2015/12,50万元,已结题,主持

    3. 国家自然科学基金青年科学基金项目,61105060,基于有限时间收敛的优化反馈神经网络设计、分析与应用,2012/01-2014/12,24万元,已结题,主持

    4. 江苏省自然科学基金面上项目,BK2011594,优化神经网络建模与有限时间收敛性分析,2012/01-2014/12,10万元,已结题,主持

    5. 教育部博士点基金,20090092120026,基于多目标规划条件的耦合优化神经网络设计,2010/01-2012/12,3.6万元,已结题,主持

  • 期刊编委

    1. 2018-,IEEE Transactions on Neural Networks and Learning Systems

    2. 2015-,IEEE Transactions on Cybernetics

    3. 2012-,Neural Networks

    期刊客座编委

    • Neurocomputing (2015-2016);Cognitive Computation (BICS 2012);Mathematics and Computers in Simulation (ISNN 2010);Computational and Mathematical Methods in Medicine (Computational Neuroscience2013)