Guan-Cheng Wang

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Implementing the competitive selection of the Matthew effect: An adaptive gradient neural network approach and its applications.
Inf. Sci.
Zhuowen Feng, Liu Yang, Cong Lin, Lingbo Han, Guan-Cheng Wang
2026 J jnl
MGRNN for dynamic constrained quadratic programming with verification and applications.
Expert Syst. Appl.
Songjie Huang, Guan-Cheng Wang, Xiuchun Xiao
2026 J jnl
Robust synchronization of chaotic systems using noise-resistant gradient neural dynamics: Design and application.
Eng. Appl. Artif. Intell.
Guan-Cheng Wang, Liu Yang, Fenghao Zhuang, Lingbo Han, Zhihao Hao, Xiuchun Xiao, Cong Lin
2023 J jnl
Accelerated Adaptive Gradient Neural Dynamics Models for Solving Time-Variant Lyapunov Equation and Their Applications.
IEEE Access
Qinrou Li, Yuyuan Zhuang, Lilan Zou, Guan-Cheng Wang
2023 J jnl
Learning with Euler Collaborative Representation for Robust Pattern Analysis.
ACM Trans. Intell. Syst. Technol.
Jianhang Zhou, Guan-Cheng Wang, Shaoning Zeng, Bob Zhang
2023 J jnl
Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection.
Expert Syst. Appl.
Xiuchun Xiao, Chengze Jiang, Long Jin, Haoen Huang, Guan-Cheng Wang
2021 J jnl
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems.
Inf. Sci.
Guan-Cheng Wang, Haoen Huang, Limei Shi, Chuhong Wang, Dongyang Fu, Long Jin, Xiuchun Xiao
2021 J jnl
Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization.
Numer. Algorithms
Haoen Huang, Dongyang Fu, Guan-Cheng Wang, Long Jin, Shan Liao, Huan Wang
2020 J jnl
An Integration-Implemented Newton-Raphson Iterated Algorithm With Noise Suppression for Finding the Solution of Dynamic Sylvester Equation.
IEEE Access
Guan-Cheng Wang, Haoen Huang, Jingkun Yan, Yihang Cheng, Dongyang Fu
2020 J jnl
Modified Newton integration neural algorithm for solving the multi-linear M-tensor equation.
Appl. Soft Comput.
Haoen Huang, Dongyang Fu, Jiazheng Zhang, Xiuchun Xiao, Guan-Cheng Wang, Shan Liao
2020 J jnl
Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion.
Neurocomputing
Shan Liao, Jiayong Liu, Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang, Long Jin
2020 J jnl
Two neural dynamics approaches for computing system of time-varying nonlinear equations.
Neurocomputing
Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang, Shan Liao, Yimeng Qi, Haoen Huang, Long Jin
2018 J jnl
Gain Error Calibrations for Two-Step ADCs: Optimizations Either in Accuracy or Chip Area.
IEEE Trans. Very Large Scale Integr. Syst.
Guan-Cheng Wang, Yan Zhu, Chi-Hang Chan, Seng-Pan U, Rui Paulo Martins
2018 J jnl
Missing-Code-Occurrence Probability Calibration Technique for DAC Nonlinearity With Supply and Reference Circuit Analysis in a SAR ADC.
IEEE Trans. Circuits Syst. I Regul. Pap.
Guan-Cheng Wang, Cheng Li, Yan Zhu, Jianyu Zhong, Yan Lu, Chi-Hang Chan, Rui Paulo Martins
2017 — conf
A missing-code-detection gain error calibration achieving 63dB SNR for an 11-bit ADC.
ESSCIRC
Guan-Cheng Wang, Yan Zhu, Chi-Hang Chan, Seng-Pan U, Rui Paulo Martins