Speech Emotion Recognition Research Based on Wavelet Neural Network for Robot Pet. - Yongming Huang 002; Guobao Zhang; Xiaoli Xu 001 (ICIC (2), 2009)

Speech Emotion Recognition Based on Coiflet Wavelet Packet Cepstral Coefficients. - Yongming Huang 002; Ao Wu; Guobao Zhang; Yue Li (CCPR (2), 2014)

Improved Emotion Recognition with Novel Task-Oriented Wavelet Packet Features. - Yongming Huang 002; Guobao Zhang; Yue Li; Ao Wu (ICIC (1), 2014)

Extraction of adaptive wavelet packet filter-bank-based acoustic feature for speech emotion recognition. - Yongming Huang 002; Ao Wu; Guobao Zhang; Yue Li (IET Signal Process., 2015)

Feature Fusion Methods for Robust Speech Emotion Recognition Based on Deep Belief Networks. - Ao Wu; Yongming Huang 002; Guobao Zhang (ICNCC, 2016)

Half-soft starting control of switched reluctance motor using discrete position signal processing. - Guobao Zhang; Ling Wang; Yongming Huang 002; Yong Lu; Yesheng Zhu (Clust. Comput., 2017)

Novel Sub-band Spectral Centroid Weighted Wavelet Packet Features with Importance-Weighted Support Vector Machines for Robust Speech Emotion Recognition. - Yongming Huang 002; Ao Wu; Guobao Zhang (Wirel. Pers. Commun., 2017)

Delay-dependent Stability of Recurrent Neural Networks with Time-varying Delay. - Guobao Zhang; Jing-Jing Xiong; Yongming Huang 002; Yong Liu; Ling Wang (Intell. Autom. Soft Comput., 2018)

Research on Robustness of Emotion Recognition Under Environmental Noise Conditions. - Yongming Huang 002; Jing Xiao; Kexin Tian; Ao Wu; Guobao Zhang (IEEE Access, 2019)

Seismic data processing method based on wavelet transform for de-noising. - Yong Lu; Yongming Huang 002; Wei Xue; Guobao Zhang (Clust. Comput., 2019)

Feature fusion methods research based on deep belief networks for speech emotion recognition under noise condition. - Yongming Huang 002; Kexin Tian; Ao Wu; Guobao Zhang (J. Ambient Intell. Humaniz. Comput., 2019)

Analysis of Geomagnetic Signals Based on Wavelet Transform and Fractal Algorithm. - Yong Lu; Yongming Huang 002; Jing Liu; Wei Xue; Guobao Zhang (Int. J. Pattern Recognit. Artif. Intell., 2020)

Evaluation Model of Urban Smart Energy System Based on Improved Genetic Algorithm-Bp Neural Network. - Guobao Zhang; Yunhu Wang; Qing Duan; Yongming Huang 002; Chunyan Ma; Ruobing Xu; Lin Chai (Int. J. Pattern Recognit. Artif. Intell., 2022)

A data-driven degradation prognostics approach for rolling element bearings. - Wen Shi; Yongming Huang 002; Guobao Zhang; Wankou Yang (J. Intell. Fuzzy Syst., 2022)

Bidirectional Piecewise Linear Representation of Time Series and its Application in Clustering. - Wen Shi; Dimka Karastoyanova; Yongming Huang 002; Guobao Zhang (IEEE Trans. Instrum. Meas., 2023)

Clustering-Based Granular Representation of Time Series With Application to Collective Anomaly Detection. - Wen Shi; Dimka Karastoyanova; Yongsheng Ma; Yongming Huang 002; Guobao Zhang (IEEE Trans. Instrum. Meas., 2023)

Identification of depression state based on multi-scale acoustic features in interrogation environment. - Yongming Huang 002; Yongsheng Ma; Jing Xiao; Wei Liu; Guobao Zhang (IET Signal Process., 2023)

Bidirectional piecewise linear representation of time series with application to collective anomaly detection. - Wen Shi; George Azzopardi; Dimka Karastoyanova; Yongming Huang 002 (Adv. Eng. Informatics, 2023)

A New Approach to Fault Estimation of Discrete-Time Markov Jump Fuzzy Systems with Iterative Current Observers. - Yongsheng Ma; Wen Shi; Yongming Huang 002; Guobao Zhang (Int. J. Fuzzy Syst., 2023)

Seed Germination Detection Method Based on Lightweight YOLOv5. - Yuanchang Zhang; Yongming Huang 002 (CSAIDE, 2024)

Dynamic weight-based granular representation of time series and its application in collective anomaly detection. - Wen Shi; Yongming Huang 002; Guobao Zhang (Comput. Electr. Eng., 2024)

A variable threshold weight approach to dynamic event-triggered consensus control for leader-following multi-agent systems under asynchronous DoS attacks. - Tu Zhang; Guobao Zhang; Amr Alanwar 001; Yongming Huang 002 (J. Frankl. Inst., 2024)

An iterative interval estimation approach to nonlinear discrete-time systems. - Tu Zhang; Guobao Zhang; Yongming Huang 002 (J. Syst. Control. Eng., 2024)

Erratum to "Clustering-Based Granular Representation of Time Series With Application to Collective Anomaly Detection". - Wen Shi; Dimka Karastoyanova; Yongsheng Ma; Yongming Huang 002; Guobao Zhang (IEEE Trans. Instrum. Meas., 2024)

Secure iterative interval estimation method for cyber-physical systems subject to stealthy deception attacks. - Tu Zhang; Guobao Zhang; Yongming Huang 002 (Trans. Inst. Meas. Control, 2024)