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Qingshan Liu
Professor
School of Mathematics
System Science Department
Tel:
Email:
qsliu@seu.edu.cn
Address:
Post:
211189
  • Qingshan Liu is currently a professor at the School of Mathematics, Southeast University, Nanjing, China.
    Working Experience
  • 2018/04-now, School of Mathematics, Southeast University, Professor
  • 2014/04-2018/04, School of Automation, Huazhong University of Science and Technology, Professor
  • 2008/09-2014/04, School of Automation, Southeast University, Associate Professor
  • 2016/05-2016/06, Department of Computer Science, City University of Hong Kong, Research Fellow
  • 2013/05-2013/07, Mathematics and Science, Texas A&M University at Qatar, Research Associate
  • 2010/02-2010/08, Mechanical and Automation Engineering, The Chinese University of Hong Kong, Postdoctoral Fellow
  • 2009/08-2009/11, Manufacturing Engineering and Engineering Management, City University of Hong Kong, Senior Research Associate
  • Education Background
  • 2005/08-2008/07, Mechanical and Automation Engineering, The Chinese University of Hong Kong, Ph.D
  • 2002/09-2005/03, Mathematics, Southeast University, M.S.
  • 1997/09-2001/07, Mathematics, Anhui Normal University, B.S.
  • Research Interests

        Neural networks; Computational intelligence; Distributed optimization; Multi-agent systems;Complex Networks;Machine Learning


    Selected Journal Publications

    • Q. Liu, X. Le, and K. Li, “A distributed optimization algorithm based on multiagent network for economic dispatch with region partitioning,” IEEE Transactions on Cybernetics, 2019, in press.

    •  K. Li, Q. Liu, S. Yang, J. Cao, and G. Lu, “Cooperative optimization of dual multiagent system for optimal resource allocation,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, in press.

    • S. Yang, J. Wang, and Q. Liu, “Cooperative-competitive multiagent systems for distributed minimax optimization subject to bounded constraints,” IEEE Transactions on Automatic Control, vol. 64, no. 4, pp. 1358–1372, Apr. 2019.

    • B. Xu, Q. Liu, and T. Huang, “A discrete-time projection neural network for sparse signal reconstruction with application to face recognition,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 1, pp. 151–162, Jan. 2019.

    • 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.

    • 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.

    • 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.

    • 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.

    • 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.

    • 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.

    • 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.

    • 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.

  • Honors and Awards

    • 2019, Wuwenjun Artificial Intelligence Science and Technology Award (Natural Science Award, Second Class), Chinese Association for Artificial Intelligence

    • 2018, “333 Engineering”, Jiangsu Province

    • 2015, Natural Science Award (Second Class), Hubei Province

    • 2015, Outstanding Reviewer Award, IEEE Transactions on Cybernetics

    • 2012, New Century Excellent Talents in University, Ministry of Education of China

    • 2012, Young Researcher Award, Asia Pacific Neural Network Assembly (APNNA)

    • 2011, Natural Science Award (First Class), Ministry of Education of China

    • 2011, Outstanding Paper Award, IEEE Transactions on Neural Networks

    • 2009, Young Science Star, Science News and Elsevier

    • 2006, Excellent Master Thesis Award, Jiangsu Province


    Research Grants

    • National Natural Science Foundation of China (Grant No. 61876036), 'Distributed Optimization Algorithms Based on Model Decomposition and Collective Neurodynamic Networks', 2019/01-2022/12, Lead PI

    • National Natural Science Foundation of China (Grant No. 61473333), 'Sparse Representation Algorithms Based on Neural Networks and Swarm Intelligence', 2015/01-2018/12, Lead PI       

    • New Century Excellent Talents in University of China (Grant No. NCET-12-0114), 'Computational Intelligence', 2013/01-2015/12, Lead PI

    • National Natural Science Foundation of China (Grant No. 61105060), 'Finite-timeConvergence Based Optimal Design, Analysis and Applications of Recurrent Neural Networks', 2012/01-2014/12, Lead PI

    • Natural Science Foundation of Jiangsu Province of China (Grant No. BK2011594), 'Optimization Neural Networks Modelling and Finite-time Convergence Analysis', 2012/01-2014/12, Lead PI

    • Doctoral Program of Ministry of Education (Grant No. 20090092120026), 'Coupling Optimization Neural Network Design Based on Multi-objective Programming Conditions', 2010/01-2012/12, Lead PI

  • Associate Editor

    • 2018-, IEEE Transactions on Neural Networks and Learning Systems

    • 2015-, IEEE Transactions on Cybernetics

    • 2012-, Neural Networks

    • 2020-, Neural Processing Letters


    Guest Editor

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

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