Novel delay-dependent robust stability criteria for neutral stochastic delayed neural networks. - Huabin Chen; Yong Zhang 020; Peng Hu (Neurocomputing, 2010)

Robust fault detection filter design for networked control systems with delay distribution characterisation. - Yong Zhang 020; Huajing Fang (Int. J. Syst. Sci., 2011)

Stability analysis for uncertain neutral systems with discrete and distributed delays. - Huabin Chen; Yong Zhang 020; Yang Zhao 047 (Appl. Math. Comput., 2012)

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)

Fault detection for nonlinear networked control systems with stochastic interval delay characterisation. - Yong Zhang 020; Huajing Fang; Tianyu Jiang (Int. J. Syst. Sci., 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)

Event-Based Finite-Time Filtering for Multirate Systems With Fading Measurements. - Yong Zhang 020; Zidong Wang 001; Lei Zou 003; Huajing Fang (IEEE Trans. Aerosp. Electron. Syst., 2017)

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks. - Cheng Cheng; Guijun Ma; Yong Zhang 020; Mingyang Sun; Fei Teng 005; Han Ding 001; Ye Yuan 002 (CoRR, 2018)

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)

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)

Inventory Control for a Coproduction System Under Demand Uncertainty. - He Xu; Pengyu Chen; Yong Zhang 020 (IEEE Trans. Autom. Control., 2019)

State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model. - Pengchao Hu; Guijun Ma; Yong Zhang 020; Cheng Cheng; Beitong Zhou; Ye Yuan 002 (ECC, 2020)

Detection of intermittent faults for nonuniformly sampled multi-rate systems with dynamic quantisation and missing measurements. - Yong Zhang 020; Zidong Wang 001; Fuad E. Alsaadi (Int. J. Control, 2020)

Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation. - Liaogehao Chen; Yong Zhang 020; Ying Zheng; Xiangshun Li; Xiujuan Zheng (Neurocomputing, 2020)

A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series. - Cheng Cheng; Jia Ding; Yong Zhang 020 (Neurocomputing, 2020)

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression. - Zhiwei Xue; Yong Zhang 020; Cheng Cheng; Guijun Ma (Neurocomputing, 2020)

An interpretable mortality prediction model for COVID-19 patients. - Li Yan 007; Hai-Tao Zhang; Jorge M. Gonçalves; Yang Xiao 007; Maolin Wang; Yuqi Guo; Chuan Sun; Xiuchuan Tang; Liang Jing; Mingyang Zhang; Xiang Huang; Ying Xiao; et al. (Nat. Mach. Intell., 2020)

Torus-Event-Based Fault Diagnosis for Stochastic Multirate Time-Varying Systems With Constrained Fault. - Yong Zhang 020; Huajing Fang; Ying Zheng; Xiuting Li (IEEE Trans. Cybern., 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)

Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network. - Lei Cheng; Li Li; Sai Li 002; Shaolin Ran; Ze Zhang; Yong Zhang 020 (Expert Syst. Appl., 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)

Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices. - Shaolin Ran; Xiaoyun Yang; Ming Liu; Yong Zhang 020; Cheng Cheng; Hongling Zhu; Ye Yuan 002 (IEEE Trans. Instrum. Meas., 2022)

Bearing Remaining Useful Life Prediction Based on Regression Shapalet and Graph Neural Network. - Xiaoyu Yang; Ying Zheng; Yong Zhang 020; David Shan-Hill Wong; Weidong Yang (IEEE Trans. Instrum. Meas., 2022)

Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach. - Guijun Ma; Zidong Wang 005; Weibo Liu 001; Jingzhong Fang; Yong Zhang 020; Han Ding 001; Ye Yuan 002 (IEEE CAA J. Autom. Sinica, 2023)

A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries. - Guijun Ma; Zidong Wang 001; Weibo Liu 001; Jingzhong Fang; Yong Zhang 020; Han Ding 001; Ye Yuan 002 (Knowl. Based Syst., 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)

What Are the Users' Needs? Design of a User-Centered Explainable Artificial Intelligence Diagnostic System. - Xin He; Yeyi Hong; Xi Zheng; Yong Zhang 020 (Int. J. Hum. Comput. Interact., 2023)

APPFNet: Adaptive point-pixel fusion network for 3D semantic segmentation with neighbor feature aggregation. - Zhaolong Wu; Yong Zhang 020; Rukai Lan; Shaohua Qiu; Shaolin Ran; Yifan Liu (Expert Syst. Appl., 2024)

BEV feature exchange pyramid networks-based 3D object detection in small and distant situations: A decentralized federated learning framework. - Rukai Lan; Yong Zhang 020; Linbo Xie; Zhaolong Wu; Yifan Liu (Neurocomputing, 2024)

PPDistiller: Weakly-supervised 3D point cloud semantic segmentation framework via point-to-pixel distillation. - Yong Zhang 020; Zhaolong Wu; Rukai Lan; Yingjie Liang; Yifan Liu (Knowl. Based Syst., 2024)

Fast High-Dimensional Parameter Optimization for Turbine Blade Manufacturing Using the Powerball L-BFGS Method Under Incomplete Measurements. - Cheng Cheng; Yudie Wu; Qianjun Liu; Feng Hua; Yong Zhang 020; Xin He (IEEE Trans. Instrum. Meas., 2024)

Class Imbalance Wafer Defect Pattern Recognition Based on Shared-Database Decentralized Federated Learning Framework. - Yong Zhang 020; Rukai Lan; Xianhe Li; Jingzhong Fang; Zuowei Ping; Weibo Liu 001; Zidong Wang 001 (IEEE Trans. Instrum. Meas., 2024)

Adaptive temporal fusion network with depth supervision and modulation for robust three-dimensional object detection in complex scenes. - Yifan Liu; Yong Zhang 020; Rukai Lan; Xiaopeng Cui; Linbo Xie; Zhaolong Wu (Eng. Appl. Artif. Intell., 2025)

AWARDistill: Adaptive and robust 3D object detection in adverse conditions through knowledge distillation. - Yifan Liu; Yong Zhang 020; Rukai Lan; Cheng Cheng; Zhaolong Wu (Expert Syst. Appl., 2025)

SOH estimation of lithium-ion batteries subject to partly missing data: A Kolmogorov-Arnold-Linformer model. - Liyuan Shao; Yong Zhang 020; Xiujuan Zheng; Rui Yang 007; Wei Zhou (Neurocomputing, 2025)

BR-MTFL: A Novel Byzantine Resilience-Enhanced Multitask Federated Learning Framework for High-Speed Train Fault Diagnosis. - Junxian You; Rui Yang 007; Yifan Zhan; Baoye Song; Yong Zhang 020; Zidong Wang 001 (IEEE Trans. Instrum. Meas., 2025)

Mitigating Catastrophic Forgetting in Cross-Domain Fault Diagnosis: An Unsupervised Class Incremental Learning Network Approach. - Yifan Zhan; Rui Yang 007; Yong Zhang 020; Zidong Wang 001 (IEEE Trans. Instrum. Meas., 2025)

A Novel Mixture Least Squares Approach for Simultaneous Parameter/State and Unknown Input Estimation. - Bo Ding; Yuanchu Wei; Yong Zhang 020; Wu Yang 003 (IEEE Trans. Autom. Control., 2025)

A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces. - Guijun Ma; Zidong Wang 001; Zeyuan Yang 003; Ruijuan Chen; Weibo Liu 001; Yong Zhang 020; Sijie Yan (IEEE Trans. Ind. Informatics, 2025)