A missing-code-detection gain error calibration achieving 63dB SNR for an 11-bit ADC. - Guan-Cheng Wang 002; Yan Zhu 001; Chi-Hang Chan; Seng-Pan U; Rui Paulo Martins (ESSCIRC, 2017)

Missing-Code-Occurrence Probability Calibration Technique for DAC Nonlinearity With Supply and Reference Circuit Analysis in a SAR ADC. - Guan-Cheng Wang 002; Cheng Li 010; Yan Zhu 001; Jianyu Zhong; Yan Lu 002; Chi-Hang Chan; Rui Paulo Martins (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Gain Error Calibrations for Two-Step ADCs: Optimizations Either in Accuracy or Chip Area. - Guan-Cheng Wang 002; Yan Zhu 001; Chi-Hang Chan; Seng-Pan U; Rui Paulo Martins (IEEE Trans. Very Large Scale Integr. Syst., 2018)

An Integration-Implemented Newton-Raphson Iterated Algorithm With Noise Suppression for Finding the Solution of Dynamic Sylvester Equation. - Guan-Cheng Wang 002; Haoen Huang 001; Jingkun Yan; Yihang Cheng 004; Dongyang Fu (IEEE Access, 2020)

Modified Newton integration neural algorithm for solving the multi-linear M-tensor equation. - Haoen Huang 001; Dongyang Fu; Jiazheng Zhang; Xiuchun Xiao; Guan-Cheng Wang 002; Shan Liao (Appl. Soft Comput., 2020)

Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion. - Shan Liao; Jiayong Liu; Xiuchun Xiao; Dongyang Fu; Guan-Cheng Wang 002; Long Jin 001 (Neurocomputing, 2020)

Two neural dynamics approaches for computing system of time-varying nonlinear equations. - Xiuchun Xiao; Dongyang Fu; Guan-Cheng Wang 002; Shan Liao; Yimeng Qi; Haoen Huang 001; Long Jin 001 (Neurocomputing, 2020)

A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems. - Guan-Cheng Wang 002; Haoen Huang 001; Limei Shi; Chuhong Wang; Dongyang Fu; Long Jin 001; Xiuchun Xiao (Inf. Sci., 2021)

Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization. - Haoen Huang 001; Dongyang Fu; Guan-Cheng Wang 002; Long Jin 001; Shan Liao; Huan Wang (Numer. Algorithms, 2021)

Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations. - Guancheng Wang 002; Zhihao Hao; Bob Zhang 001; Long Jin 001 (Inf. Sci., 2022)

Sentiment Analysis of Review Data Using Blockchain and LSTM to Improve Regulation for a Sustainable Market. - Zhihua Zhao 003; Zhihao Hao; Guancheng Wang 002; Dianhui Mao; Bob Zhang 001; Min Zuo; Jerome Yen; Guangjian Tu (J. Theor. Appl. Electron. Commer. Res., 2022)

Improved ZND model for solving dynamic linear complex matrix equation and its application. - Zhiyuan Song; Zhenyao Lu; Jiahao Wu; Xiuchun Xiao; Guancheng Wang 002 (Neural Comput. Appl., 2022)

Accelerated Adaptive Gradient Neural Dynamics Models for Solving Time-Variant Lyapunov Equation and Their Applications. - Qinrou Li; Yuyuan Zhuang; Lilan Zou; Guan-Cheng Wang 002 (IEEE Access, 2023)

A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises. - Guancheng Wang 002; Zhihao Hao; Bob Zhang 001; Leyuan Fang; Dianhui Mao (Appl. Intell., 2023)

A Distributed Computation Model Based on Federated Learning Integrates Heterogeneous models and Consortium Blockchain for Solving Time-Varying Problems. - Zhihao Hao; Guancheng Wang 002; Chunwei Tian; Bob Zhang 001 (CoRR, 2023)

An Isomerism Learning Model to Solve Time-Varying Problems Through Intelligent Collaboration. - Zhihao Hao; Guancheng Wang 002; Bob Zhang 001; Leyuan Fang; Haisheng Li 002 (IEEE CAA J. Autom. Sinica, 2023)

A proportional-integral iterative algorithm for time-variant equality-constrained quadratic programming problem with applications. - Guancheng Wang 002; Zhihao Hao; Haoen Huang 001; Bob Zhang 001 (Artif. Intell. Rev., 2023)

An activated variable parameter gradient-based neural network for time-variant constrained quadratic programming and its applications. - Guancheng Wang 002; Zhihao Hao; Haisheng Li 002; Bob Zhang 001 (CAAI Trans. Intell. Technol., 2023)

A dynamic matrix equation solution method based on NCBC-ZNN and its application on hyperspectral image multi-target detection. - Huiting He; Chengze Jiang; Xiuchun Xiao; Guancheng Wang 002 (Appl. Intell., 2023)

Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection. - Xiuchun Xiao; Chengze Jiang; Long Jin 001; Haoen Huang 001; Guan-Cheng Wang 002 (Expert Syst. Appl., 2023)

Learning with Euler Collaborative Representation for Robust Pattern Analysis. - Jianhang Zhou; Guan-Cheng Wang 002; Shaoning Zeng; Bob Zhang 001 (ACM Trans. Intell. Syst. Technol., 2023)

New zeroing NN models with nonconvex saturated activation functions in noisy environments for quadratic minimization dynamics and control. - Tangtao Luo; Guancheng Wang 002; Xiuchun Xiao (J. Comput. Appl. Math., 2024)

PTE: Prompt tuning with ensemble verbalizers. - Liheng Liang; Guancheng Wang 002; Cong Lin 004; Zhuowen Feng (Expert Syst. Appl., 2025)

A Novel Public Sentiment Analysis Method Based on an Isomerism Learning Model via Multiphase Processing. - Zhihao Hao; Guancheng Wang 002; Bob Zhang 001; Zhuowen Feng; Hai-Sheng Li 002; Fahui Chong; Yan Pan; Wei Li 016 (IEEE Trans. Neural Networks Learn. Syst., 2025)