Fault Detection for Nonlinear Networked Control Systems with Markov Data Transmission Pattern. - Yong Zhang 020; Huajing Fang; Zhenxing Liu 001 (Circuits Syst. Signal Process., 2012)

H∞ fault detection for nonlinear networked systems with multiple channels data transmission pattern. - Yong Zhang 020; Zhenxing Liu 001; Huajing Fang; Huabin Chen (Inf. Sci., 2013)

Review of the Fault Mechanism and Diagnostic Techniques for the Range Extender Hybrid Electric Vehicle. - Xiaowei Xu 003; Hongxia Wang; Nan Zhang; Zhenxing Liu 001; Xiaoqing Wang (IEEE Access, 2017)

Fault Detection of Modular Multilevel Converter with Kalman Filter Method. - Huanzhen Hu; Yong Zhang 020; Zhenxing Liu 001; Min Zhao (CAA SAFEPROCESS, 2019)

Diagnose of Sub-module Fault in Modular Multilevel Converters Based on Moving Average Method. - Cui Li; Zhenxing Liu 001; Yong Zhang 020 (CAA SAFEPROCESS, 2019)

Burst Traffic Awareness WRR Scheduling Algorithm in Wide Area Network for Smart Grid. - Xin Tan; Xiaohui Li 003; Zhenxing Liu 001; Yuemin Ding (ChinaCom (1), 2019)

Diagnosis and location of the open-circuit fault in modular multilevel converters: An improved machine learning method. - Cui Li; Zhenxing Liu 001; Yong Zhang 020; Li Chai 001; Bo Xu (Neurocomputing, 2019)

Demand response capacity constrained optimisation of multicast routing in smart grid. - Zihao Zhu; Xiaohui Li 003; Yuemin Ding; Zhenxing Liu 001 (Int. J. Wirel. Mob. Comput., 2020)

Multiple O(t-α) stability for fractional-order neural networks with time-varying delays. - Liguang Wan; Zhenxing Liu 001 (J. Frankl. Inst., 2020)

Remaining useful life prediction of tool with BiGRU-Attention and improved Particle Filter. - Yi Li; Yong Zhang 020; Yang Chang; Zhang Liu; Zhenxing Liu 001 (CAA SAFEPROCESS, 2021)

Fault diagnosis with synchrosqueezing transform and optimized deep convolutional neural network: An application in modular multilevel converters. - Longzhang Ke; Yong Zhang 020; Bo Yang; Zhen Luo; Zhenxing Liu 001 (Neurocomputing, 2021)

Multiple O(t-q) stability and instability of time-varying delayed fractional-order Cohen-Grossberg neural networks with Gaussian activation functions. - Liguang Wan; Zhenxing Liu 001 (Neurocomputing, 2021)

Diagnosis of Arrhythmia Based on Multi-scale Feature Fusion and Imbalanced Data. - Zhuo Cheng; Zhenxing Liu 001; Guili Yang (ICMLT, 2022)

A semi-supervised learning approach for COVID-19 detection from chest CT scans. - Yong Zhang 020; Li Su; Zhenxing Liu 001; Wei Tan; Yinuo Jiang; Cheng Cheng (Neurocomputing, 2022)

Research on rolling bearing fault diagnosis based on Ensemble Empirical Mode Decomposition and Hilbert envelope spectrum analysis. - Ye Yuan; Zhenxing Liu 001; Naifa Gong; Yingjie Liu; Peng Hang (ICMLCA, 2023)

Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning. - Zhenxing Liu 001; Yujie Chen; Yong Zhang 020; Shaolin Ran; Cheng Cheng; Guili Yang (Comput. Biol. Medicine, 2023)

Multiple exponential stability and instability for state-dependent switched neural networks with time-varying delays and piecewise-linear radial basis activation functions. - Liguang Wan; Zhenxing Liu 001 (Neurocomputing, 2023)

Leveraging Frame- and Feature-level Progressive Augmentation for Semi-supervised Action Recognition. - Zhewei Tu; Xiangbo Shu; Peng Huang; Rui Yan 010; Zhenxing Liu 001; Jiachao Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2025)