Papers
Selected Journal Papers
In Press
Published
Y. Zheng, Q. Liu,
A review of distributed optimization: problems, models and algorithms,
Neurocomputing, vol. 483, pp. 446459, 2022.
C. Xu, Q. Liu,
An inertial neural network approach for robust timeofarrival localization considering clock asynchronization,
Neural Networks, vol. 146, pp. 98106, 2022.
H. Liu, J. Zhang, Q. Liu, J. Cao,
Minimum spanning tree based graph neural network for emotion classification using EEG,
Neural Networks, vol. 145, pp. 308318, 2022.
Q. Liu, X. Le, K. Li,
A distributed optimization algorithm based on multiagent network
for economic dispatch with region partitioning,
IEEE Transactions on Cybernetics, vol. 51, no. 5, pp. 24662475, May 2021.
Q. Liu, M. Wang,
A projectionbased algorithm for optimal formation and optimal matching of multirobot system,
Nonlinear Dynamics, vol. 104, pp. 439450, 2021.
D. Yue, J. Cao, Q. Li, Q. Liu,
Neuralnetworkbased fully distributed adaptive consensus for a class of uncertain multiagent systems,
IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 7, pp. 29652977, July 2021.
S. Xu, J. Cao, Q. Liu, L. Rutkowski,
Optimal control on finitetime consensus of the leaderfollowing stochastic multiagent system with Heuristic method,
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 6, pp. 36173628, June 2021.
M. Wang, Q. Liu, Y. Zheng,
A curvaturesegmentationbased minimum time algorithm for autonomous vehicle velocity planning,
Information Sciences, vol. 565, pp. 248261, 2021.
K. Li, Q. Liu, S. Yang, J. Cao, G. Lu,
Cooperative optimization of dual multiagent system for optimal resource allocation,
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 11, pp. 46764687, Nov. 2020.
X. Xu, Q. Liu, C. Zhang, Z. Zeng,
Prescribed performance controller design for DC converter system with constant power loads in DC microgrid,
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 11, pp. 43394348, Nov. 2020.
K. Li, Q. Liu, Z. Zeng,
Distributed optimisation based on multiagent system for resource allocation with communication timedelay,
IET Control Theory & Applications, vol. 14, no. 4, pp. 549557, Mar. 2020.
S. Yang, J. Wang, Q. Liu,
Consensus of heterogeneous nonlinear multiagent systems with duplex control laws,
IEEE Transactions on Automatic Control, vol. 64, no. 12, pp. 51405147, Dec. 2019.
S. Yang, J. Wang, Q. Liu,
Cooperativecompetitive multiagent systems for distributed minimax optimization
subject to bounded constraints,
IEEE Transactions on Automatic Control, vol. 64, no. 4, pp. 13581372, Apr. 2019.
B. Xu, Q. Liu, T. Huang,
A discretetime 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. 151162, Jan. 2019.
X. Xu, C. Zhang, Q. Liu, J. Cao, A. Alsaedi,
Adaptive stabilization for a class of
uncertain pnormal nonlinear systems via a generalized homogeneous domination technique,
Nonlinear Dynamics, vol. 93, no. 2, pp. 847862, July 2018.
S. Yang, Q. Liu, J. Wang,
A collaborative neurodynamic approach to multipleobjective distributed optimization,
IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 981992, Apr. 2018.
B. Xu, Q. Liu,
Iterative projection based sparse reconstruction for face recognition,
Neurocomputing, vol. 284, pp. 99106, 2018.
Q. Liu, S. Yang, 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. 42594265, Aug. 2017.
S. Yang, Q. Liu, J. Wang,
A multiagent system with a proportionalintegral protocol for distributed constrained optimization,
IEEE Transactions on Automatic Control, vol. 62, no. 7, pp. 34613467, July 2017.
Q. Liu, S. Yang, J. Wang,
A collective neurodynamic approach to distributed constrained optimization,
IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 8, pp. 17471758, Aug. 2017.
S. Yang, Q. Liu, J. Wang,
Distributed optimization based on a multiagent system in the presence of communication delays,
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 5, pp. 717728, May 2017.
Q. Liu, J. Wang,
A secondorder multiagent network for boundconstrained distributed optimization,
IEEE Transactions on Automatic Control, vol. 60, no. 12, pp. 33103315, Dec. 2015.
Q. Liu, J. Wang,
A projection neural network for constrained quadratic minimax optimization,
IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 11, pp. 28912900, Nov. 2015.
Q. Liu, J. Wang,
A onelayer 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. 812824, May 2013.
Q. Liu, C. Dang, T. Huang,
A onelayer recurrent neural network for realtime
portfolio optimization with probability criterion,
IEEE Transactions on Cybernetics, vol. 43, no. 1, pp. 1423, Feb. 2013.
Z. Guo, Q. Liu, J. Wang,
A onelayer recurrent neural network for pseudoconvex
optimization subject to linear equality constraints,
IEEE Transactions on Neural Networks, vol. 22, no. 12, pp. 18921900, Dec. 2011.
Q. Liu, J. Wang,
A onelayer recurrent neural network for constrained nonsmooth optimization,
IEEE Transactions on Systems, Man and CyberneticsB, vol. 41, no. 5, pp. 13231333, Oct. 2011.
Q. Liu, J. Wang,
Finitetime convergent recurrent neural network with a hardlimiting activation
function for constrained optimization with piecewiselinear objective functions,
IEEE Transactions on Neural Networks, vol. 22, no. 4, pp. 601613, Apr. 2011.
Q. Liu, C. Dang, J. Cao,
A novel recurrent neural network with one neuron
and finitetime convergence for kwinnerstakeall operation,
IEEE Transactions on Neural Networks, vol. 21, no. 7, pp. 11401148, July 2010.
Q. Liu, J. Cao, G. Chen,
A novel recurrent neural network with finitetime convergence for linear programming,
Neural Computation, vol. 22, no. 11, pp. 29622978, 2010.
Q. Liu, J. Cao,
A recurrent neural network based on projection operator for
extended general variational inequalities,
IEEE Transactions on Systems, Man and CyberneticsB, vol. 40, no. 3, pp. 928938, June 2010.
Q. Liu, J. Wang,
A onelayer recurrent neural network with a discontinuous
hardlimiting activation function for quadratic programming,
IEEE Transactions on Neural Networks, vol. 19, no. 4, pp. 558570, Apr. 2008.
Outstanding Paper Award, IEEE Transactions on Neural Networks, 2011.
Q. Liu, J. Wang,
A onelayer recurrent neural network with a discontinuous
activation function for linear programming,
Neural Computation, vol. 20, no. 5, pp. 13661383, 2008.
Q. Liu, J. Wang,
Two kwinnerstakeall networks with discontinuous activation functions,
Neural Networks, vol. 21, no. 23, pp. 406413, 2008.
Q. Liu, J. Cao, Y. Xia,
A delayed neural network for solving linear projection equations and its analysis,
IEEE Transactions on Neural Networks, vol. 16, no. 4, pp. 834843, July 2005.
Selected Conference Papers
Q. Liu, J. Xiong, S. Yang,
Mixednorm projectionbased iterative algorithm for face recognition,
in Proc. 16th Int. Symposium on Neural Networks (ISNN 2019), Moscow, Russia, July 1012 2019, pp. 331340.
Q. Liu, W. Zhang, J. Xiong, B. Xu, L. Cheng,
A projectionbased algorithm for constrained l1minimization optimization with application to sparse signal reconstruction,
in Proc. 8th International Conference on Information Science and Technology (ICIST 2018), Andalusia, Spain, June 30July 6 2018, pp. 437443.
W. Zhang, Q. Liu,
Using the center loss function to improve deep learning performance for EEG signal classification,
in Proc. 10th International Conference on Advanced Computational Intelligence (ICACI 2018), Xiamen, China, March 2931, 2018, pp. 578582.
B. Xu, Q. Liu,
Elastic net based weighted iterative method for image classification,
in Proc. 24th International Conference on Neural Information Processing (ICONIP 2017), Guangzhou, China, November 1418 2017, pp. 481489.
J. Shang, Q. Liu,
Cognitive load recognition using multithreshold united complex network,
in Proc. 24th International Conference on Neural Information Processing (ICONIP 2017), Guangzhou, China, November 1418 2017, pp. 490498.
Y. Liu, Q. Liu,
Convolutional neural networks with largemargin softmax loss function for cognitive load recognition,
in Proc. 36th Chinese Control Conference (CCC 2017), Dalian, China, July 2628 2017, pp. 40454049.
J. Shang, W. Zhang, J. Xiong, Q. Liu,
Cognitive load recognition using multichannel complex network method,
in Proc. 14th Int. Symposium on Neural Networks (ISNN 2017), Sapporo, Japan, June 2126 2017, pp. 466474.
Q. Liu, B. Xu, J. Xiong, W. Zhang,
Projection particle swarm optimizer,
in Proc. 7th International Conference on Information Science and Technology (ICIST 2017), Da Nang, Vietnam, April 1619 2017, pp. 161168.
S. Yang, J. Wang, Q. Liu,
Multipleobjective optimization based on a twotimescale neurodynamic system,
in Proc. 8th International Conference on Advanced Computational Intelligence (ICACI 2016), Chiang Mai, Thailand, February 1416 2016, pp. 193199.
W. Zhang, Q. Liu,
A onelayer discretetime projection neural network for support vector classification,
in Proc. IEEE International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 611 2014, pp. 31433148.
Q. Liu, W. Yang,
A discretetime recurrent neural network with global exponential stability for constrained linear variational inequalities,
in Proc. 31st Chinese Control Conference (CCC 2012), Hefei, China, July 2527 2012, pp. 32963301.
Q. Liu, J. Wang,
A onelayer dual neural network with a unipolar hardlimiting activation function for shortestpath routing,
in Proc. Artificial Neural Networks  ICANN 2010. Part II, Springer LNCS 6353, 2010, pp. 498505.
Q. Liu, J. Wang,
A onelayer recurrent neural network for convex programming,
in Proc. IEEE International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong, June 16 2008, pp. 8390.
Q. Liu, J. Wang,
A onelayer recurrent neural network with a unipolar hardlimiting activation function for kwinnerstakeall operation,
in Proc. IEEE International Joint Conference on Neural Networks (IJCNN 2007), Orlando, Florida, USA, Aug. 1217 2007, pp. 8489.
Q. Liu, J. Wang,
A recurrent neural network for nonsmooth convex programming subject to linear equality and bound constraints,
in Proc. 13th Int. Conference on Neural Information Processing (ICONIP 2006), vol. LNCS 4233. Springer, 2006, pp. 10041013.
Q. Liu, J. Wang, J. Cao,
A delayed Lagrangian network for solving quadratic programming problems with equality constraints,
in Proc. 3rd Int. Symposium on Neural Networks (ISNN 2006), vol. LNCS 3971. Springer, 2006, pp. 369378.
