Dr. Li Guoqi

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Publications

Journal papers: *: corresponding authors

  1. G. Li*,  J.Ding, C. Wen and J. Huang, Minimum cost Control of Directed Networks with Selectable Control Inputs, IEEE Transactions on Cybernetics, Accepted, 2018.
  2. G. Li*, P. Tang, G. Xiao, C. Wen, J. Pei and L. Shi, Optimization on matrix manifold based on gradient information and its applications in network control, Physica A, Vol.508,  pp.481-500, 2018.
  3. Z. Meng, T. Yao, G .Li, W. Ren and D. Wu, Synchronization of coupled dynamical systems: tolerance to weak connectivity and arbitrarily bounded time-varying delays, IEEE Transactions on Automatic Control, 63 (6), pp.1791-1797, 2018.
  4. P. Tang, G. Li*, G. Xiao, R. Wang, C. Ma and L. Shi, Matrix Function Optimization under Weighted  Orthornormal  Constraints and Its Applications in Network Control, ISA Transactions, vol.76, pp. 88-96, 2018.
  5. Y. Wu, L. Deng, G .Li, J. Zhu, L Shi,Spatio-temporal backpropagation for training high-performance spiking neural networks,Frontiers in Neuroscience, 12:331,2018
  6. G. Li*, L. Deng, P. Tang, G. Xiao, C. Wen, J. Pei, W. Hu, L. Shi and H. Eugene Stanley, Enabling Controlling Complex Networks with Local Topological Information, Scientific Reports,8(1), 4593,2018.
  7. J. Yin, F. Zeng, Q. Wan, F. Li, Y. Sun, Y. Hu, J. Liu, G. Li, F Pan ,Adaptive Crystallite Kinetics in Homogenous Bilayer Oxide Memristor for Emulating Diverse Synaptic Plasticity,Advanced Functional Materials, 1706927,2018.
  8. L. Deng, G. Li*, J. Pei and J. Huang, “L0 Norm Constraint based external control source allocation for the minimum cost control of directed networks”, ISA Transactions,vol.76, pp. 88-96, 2018.
  9. VX.Nguyen , G. Xiao, X.J. Xu , Li and Z. Wang, Opinion Formation on Multiplex Scale-free Networks, Europhysics Letters,  121, 26002,2018.
  10. H. Li, G. Li and L. Shi, Deep Representation via Convolutional Neural Network for Classofication of Spatiotemporal Event Streams, Neurocomputing, vol.299, pp.1-9, 2018.
  11. G. Li*, J. Ding, C. Wen, L. Wang and F. Guo, Controlling Directed Networks with Evolving Topologies, IEEE Transactions on Control of Network Systems, Accepted, DOI: 10.1109/TCNS.2018.2803444 ,2018.
  12. G. Li*, L.Deng , L. Tian, H. Cui, W.Han, J. Pei and L. Shi, Training Deep Neural Networks with Discrete State Transition, Neurocomputing, vol.272, pp.154-162, 2018.
  13. G. Li*, P. Tang, C. Wen, C. Ma and C. Wen, Key-nodes Selection Problem for Minimum Cost Control of Directed Networks, Optimal Control, Applications and Methods, vol.39 (1), 95-113,2018.
  14. L. Deng, P. Jiao, J. Pei, Z. Wu, G Li*, GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework, Neural Networks, vol.100, pp.49-58,2018.
  15. Z. Yang, G. Zhao, G. Li* and H. Rong, Matrix Differentiation for Gaussian Multiple Access Channels under Weighted Total Power Constraint, Annals of Telecommunications, vol.72, pp.703-715, 2017.
  16. J. Huang, Y. Song, W. Wang, C. Wen and G. Li, Fully Distributed Adaptive Consensus Control of a Class of High-order Nonlinear Systems with a Directed Topology and Unknown Control Directions, IEEE Transactions on Cybernetics, Accepted, 2017.
  17. Y. Yu, G. Xiao, G. Li, and W. P. Tay,  Opinion diversity and community formation in adaptive networks, Chaos, 27 (10), 103115, 2017.
  18. W. Yang, A. Zhang, J. Li, G.Li, H. Zhang and J.Wang, Integral plus Resonant Sliding Mode Direct Power Control for VSC-HVDC System under Unbalanced Grid Voltage Conditions, Energies, 10, 1528, 2017.
  19. G. Li*, F. Zeng, H. Li and A. K. Qin, Matrix Function Optimization Problems under Orthonormal Constraint, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Accepted,DOI: 10.1109/TSMC.2017.2724068 , 2017.
  20. J. Ding, C. Wen andG. Li*, Key node selection in minimum-cost control of complex networks, Physica A: Statistical Mechanics and its Applications, vol.486, pp.251-261, 2017.
  21. H. Li, H. Liu, X. Ji, G.Li and L.Shi , CIFAR10-DVS: An Event-stream Dataset for Object Classification, Frontiers in Neuroscience, vol.11, 309, 2017.
  22. J. Huang, Y. Song, W. Wang, C. Wen and G. Li, Smooth Control Design for Adaptive Leader-following Consensus Control of a Class of High-order Nonlinear Systems with Time-varying Reference, Automatica, vol.83, pp.361-367, 2017.
  23. Y. Hu, F. Zeng, C. Chang, W. Dong, X. Li, F. Pan, G. Li , Diverse Synaptic Plasticity Induced by the Interplay of Ionic Polarization and Doping at Salt-Doped Electrolyte/Semiconducting Polymer Interface, ACS Omega 2 (2), 746-754,2017.
  24. C. T. Chang, F. Zeng, J. Li, W. Dong, Y. Hu and G. Li, Spatial summation of the short-term plasticity of a pair of organic heterogeneous junctions, RSC Advances, 7, pp.4017-4023, 2017.
  25. L. Gao, G. Zhao, G. Li* and Z. Yang, Leader Selection Problem for Stochastically Forced Consensus Networks based on Matrix Differentiation, Physica A: Statistical Mechanics and its Applications, vol.469,799–812, 2017.
  26. G. Li*, L. Deng, D. Wang, F. Zeng, W. Wang, Z. Zhang, H.Li, J. Pei , L. Shi and S. Song,   Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity, Frontiers in Computational Neuroscience,  10, 136, 2016.
  27. G. Li*, J. Ding*, C. Wen and J. Pei, Optimal control of complex networks based on matrix differentiation, Europhysics Letters, 115,68005 , 2016.
  28. G. Li*, P. Tang*, C. Wen and Z. Meng, Boundary Constraints for Minimum Cost Control of Directed Networks, IEEE Transactions on Cybernetics, vol.47, pp.4196-4209, 2017.
  29. F. Guo, C. Wen, J. Mao, Y. Song and G. Li, A Distributed Hierarchical Algorithm for Multi-Cluster Constrained Optimization, Automatica, vol. 77, pp. 230-238, 2016.
  30. W. Dong, F. Zeng, Y. Hu, C. Chang, X. Li and F. Pan and G. Li, Sliding threshold of spike-rate dependent plasticity of a semiconducting polymer/electrolyte cell, Journal of Polymer Science, Part B: Polymer Physics,   54(23): 2412-2417. 2016.
  31. G. Li*, W. Hu, G. Xiao, L. Deng, P. Tang, J. Pei and L. Shi, Minimum Cost Control of Complex Networks, New Journal of Physics, 18 (1), 013012, 2016.
  32. L. Deng, W. Dong, Z. Y. Zhang, P. Tang, G. Li* and J. Pei, Energy consumption analysis for various memristive networks under different learning strategies, Physics Letters A, vol.380, pp.903–909, 2016.
  33. J. Ding, C. Wen, G. Li* and C. S. Chua, “Locality sensitive batch feature extraction for high-dimensional data”, Neurocomputing, vol.171, 664-672, 2016.
  34. H. Y. Xu, S. H.Kuo, G. Li, E. F. T. Legara, D. Zhao, and C. P. Monterola*, Generalized Cross Entropy Method for estimating joint distribution from incomplete information. Physica A: Statistical Mechanics and its Applications, vol.453, pp.162-172, 2016.
  35. G. Li*, C. Wen, A. Zhang, “Fixed Point Iteration in Identifying Bilinear Models”, Systems and Control Letters, vol. 83, pp. 28-37, 2015.
  36. G. Li*, L. Deng, Y. Xu, C. Wen, W. Wang, J. Pei, and L. Shi, “Temperature based Restricted Boltzmann Machines”, Scientific Reports, 6, 19133, 2015.
  37. G. Li*, D. Zhao, Y. Xu, S.H. Kuo, H.Y. Xu, N. Hu, G. Zhao and C. Monterola, “Entropy Based Modelling for Estimating Demographic Trends”, PloS one, vol.10 (9), e0137324, 2015.
  38. L. Deng, G. Li* (co-first author), N. Deng, D. Wang, Z. Zhang, W. He, H. Li, J. Pei and L Shi, Complex Learning in Bio-plausible Memristive Networks, Scientific Reports, vol. 5,10684, 4, 2015.
  39. G. Li*, C. Wen, W.X. Zheng, and G. Zhao, “Iterative Identification of Block-Oriented Systems based on Biconvex Optimization”, Systems and Control Letters, vol.79, pp.68-75, 2015.
  40. G. Li*, K. Ramanathan, N. Ning, L. Shi and C. Wen, Memory Dynamics in Attractor Networks, Computational Intelligence and Neuroscience, vol. 2015, 191745, 2015.
  41. G. Li*, N. Ning* (co-first author), L. Pan, K. Ramanathan, R. Zhao and L. Shi, “A Simple Model of Persistent Firing Neurons”, International Journal of Intelligence Science, vol. 5, pp. 89-101, 2015.
  42. G. Li* , G. Zhao, and F. Yang, “Online Learning with Kernels in Classification and Regression,” Evolving Systems, vol. 5, pp.11-19, 2014.
  43. W. He, K. Huang, N. Ning, G. Li, K. Ramanathan*, R. Zhao, Y. Jiang and L.Shi “Enabling an Integrated Rate-temporal Learning Scheme on Memristor”, Scientific Reports, vol.4, pp. 4755, 2014.
  44. G. Li*, C. Wen, W. Wei, Y. Xu, J. Ding, G. Zhao and L. Shi, “Trace ratio criterion for feature extraction in classification”, Mathematical Problems in Engineering,  vol. 2014, pp. 725204, 2014.
  45. L. Zhang,A. Zhang*, Z. Ren,  G. Li,  C. Zhang, and J. Han, “Hybrid adaptive robust control of static var compensator in power systems”, International Journal of Robust and Nonlinear Control, vol.24, pp. 1707-1723, 2014.
  46. G. Li*, C. Wen, Z. G. Li, A. Zhang, Y. Feng, and K. Z. Mao, “Model Based Online Learning with Kernels”, IEEE Transactions on Neural Networks and Learning systems, vol.24, pp. 356-369, 2013.
  47. G. Li* and C. Wen, “Convergence of fixed-point iteration for the identification of Hammerstein and Wiener systems”, International Journal of Robust and Nonlinear Control, vol. 23, pp. 1510-1523, 2013.
  48. G. Li*, N. Ning, K. Ramanathan, H. Wei, L. Pan, and Liu Shi, “Behind the Magical Numbers: Hierarchical Chunking and the Human Working Memory Capacity”, International Journal of Neural Systems, vol. 23, pp. 1350019, 2013.
  49. G. Li* and C.Wen, “Identification of Wiener Systems with Clipped Observations”, IEEE Transactions on Signal Processing, vol. 60, pp. 3845-3852, 2012.
  50. K. Ramanathan, N. Ning, D. Dhanasekar, G. Li, L. Shi and P. Vadakkepat, “Presynaptic Learning and Memory with A Persistent Firing Neuron and A Habituating Synapse: Model of Short Term Persistent Habituation”, International Journal of Neural Systemsvol. 22, pp. 12500151-125001520, 2012.
  51. G. Li*, C. Wen, W. X. Zheng, and Y. Chen, “Identification of a Class of Nonlinear Autoregressive Models with Exogenous Inputs based on Kernel Machines”, IEEE Transactions on Signal Processing, vol.59, pp.2146-2159, 2011.
  52. G. Li, C. Wen*, G. B. Huang, and Y. Chen: “Error tolerance based support vector machine for regression”, Neurocomputing, vol. 74, pp. 771-782, 2011.
  53. G. Li* and C. Wen, “Convergence of Normalized Iterative Identification of Hammerstein Systems”, Systems and Control Letters, vol. 60, pp. 929-935, 2011.
  54. Y. Chen, C. Wen*, G. Tao, M. Bi, and G. Li, “Continuous and Noninvasive Blood Pressure Measurement: A Novel Modeling Methodology of the Relationship between Blood Pressure and Pulse Wave Velocity”, Annals of Biomedical Engineering, vol. 37, pp. 2222-2233, 2009.
  55. G. Li, G. Zhao*, and Z. Sun, “Kernel Function Construction Based on Surface Reconstruction of Sample Similarity”, Information and control (In Chinese), vol. 36, pp. 47-55, 2007.
  56. G. Li, G. Zhao* and Z. Sun, “The Application in Classification among Fisher Discriminant Criterion, K-L Conversion and SVM”, Computer Engineering and Application (In Chinese), vol. 42, pp. 147-151, 2006.

 

Conference papers:

  1. S.Wu, G. Li, L.Shi and C. Feng, Training and Inference with Integers in Deep Neural Networks, International Conference on Learning Representations, ICLR 2018, Oral Presentation.
  2. J.Ding, C. Wen and G.Li. Optimal control of weighted networks based on node connection strength, Industrial Electronics (ISIE), 2017 IEEE 26th International Symposium on. IEEE,  520-525,2017.
  3. L. Shi, J. Pei, N. Dong and G. Li et al. “Development of a neuromorphic computing system.” 2015 IEEE International Electron Devices Meeting (IEDM). 2015.
  4. G. Li, C. Wen, Z. G. Li, J. Pei and L. Shi, “Hierarchical Encoding of Human Working Memory”, 10th IEEE Conference on Industrial Electronics and Applications, Auckland, New Zealand, 2015.
  5. G. Zhao, Y. Xu, G. Li and Z. Yang, An Entropy based Method for Estimating Demographic Trends, IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS), Douai, France, 2015.
  6. H. M. Li, J. Pei and G. Li, Real-time tracking based on neuromorphic vision, 15th IEEE Non-Volatile Memory Technology Symposium (NVMTS 2015), Beijing, China, 2015.
  7. L. Deng, D.Wang, G. Li, Z. Zhang and J. Pei, A new computing rule for neuromorphic engineering, 15th IEEE Non-Volatile Memory Technology Symposium (NVMTS 2015), Beijing, China, 2015.
  8. F. Guo, C. Wen, G. Li and J. Chen, “Distributed Economic Dispatch for a Multi-Area Power System”, 10th IEEE Conference on Industrial Electronics and Applications, Auckland, New Zealand, 2015.
  9. Z. Yang, H. Rong, G. Zhao and G. Li, “Nonparametric Robust Adaptive Controller for Tracking AMB Systems”, 10th IEEE Conference on Industrial Electronics and Applications, Auckland, New Zealand, 2015.
  10. J. Ding, G. Li, C. Wen and C. Chua, “Min-Max Discriminant Analysis Based On Gradient Method For Feature Extraction”, 13th International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, 2014.
  11. L. Meng, G. Li and C. Wen “Support Vector Machine based Liver Cancer Early Detection using Magnetic Resonance Images”, 13th International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, 2014.
  12. G. Li, N. Ning, K. Ramanathan, and L. Shi “Revised Online Learning with Kernels”, IEEE Symposium Series on Computational Intelligence, Singapore, 2013.
  13. G. Li, C. Wen, W. X. Zhen, and G. Zhao, “On the Iterative Identification of Block-oriented Systems based on Biconvex Optimization”, 16th IFAC Symposium on System Identification, SYSID 2012, Brussels, 2012.
  14. G. Li, C. Wen, D. Cui, and F. Yang, “A New Method of Online Learning with Kernels for Regression”, 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), Singapore, 2012.
  15. G. Li and G. Zhao, “Online Learning with Kernels in Classification and Regression,” IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS), Madrid, Spain, 2012.
  16. G. Li, C. Wen, and Z. G. Li, “A New Online Learning with Kernels Method in Novelty Detection”, The 37th Annual Conference of the IEEE Industrial Electronics Society (IECON), Melbourne, Australia, 2011.
  17. G. Zhao, G. Li, C. Wen, and F. Yang, “On the Convergence of Normalized Iterative Identification of Hammerstein Systems management”, ICAR2011, Dubai, 2011.
  18. G. Li and C. Wen, “Legendre Polynomials in Signal Reconstruction and Compression”, 5th IEEE Conference on Industrial Electronics and Applications (ICIEA), Taiwan, 2010.
  19. G. Li and C. Wen, “Identification of Wiener Systems based on Fixed Point Theory”, 11th International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, 2010.