Performance and gain and phase margins of well-known PI tuning formulas. - Weng Khuen Ho; Chang Chieh Hang; Junhong Zhou (IEEE Trans. Control. Syst. Technol., 1995)

Self-tuning PID control of a plant with under-damped response with specifications on gain and phase margins. - Weng Khuen Ho; Chang Chieh Hang; Junhong Zhou (IEEE Trans. Control. Syst. Technol., 1997)

Quantification of Customer Multi-Preference and Motivation through Data and Text Mining in New Product Design. - Xiang Li 040; Junhong Zhou; Wen-Feng Lu (Integrated Intelligent Systems for Engineering Design, 2006)

Semantic enhanced rule driven workflow execution in Collaborative Virtual Enterprise. - Wei Ren; Gang Chen 002; Zhonghua Yang; Junhong Zhou; Jing-Bing Zhang; Chor Ping Low; David Chen 002; Chengzheng Sun (ICARCV, 2008)

Agent-based service-oriented dynamic resource allocation. - Chak-Huah Tan; Yi Zhi Zhao; Ming Luo 003; Somchaya Liemhetcharat; Jing-Bing Zhang; Ming Mao Wong; Junhong Zhou (ICARCV, 2008)

Ant colony optimization and mutual information hybrid algorithms for feature subset selection in equipment fault diagnosis. - Junhong Zhou; Ruisheng Ng; Xiang Li 040 (ICARCV, 2008)

Mode Tracking of Hybrid Systems in FDI Framework. - Shai A. Arogeti; Danwei Wang; Chang Boon Low; Dan Hong Zhang; Junhong Zhou (RAM, 2008)

iDiagnosis & prognosis for supporting of manufacture. - Danhong Zhang; Junhong Zhou; Shai Avraham Arogeti; Ming Luo 003; Bertrand Tay; Xin Jiang (INDIN, 2009)

Advanced P-Tree based K-Nearest neighbors for customer preference reasoning analysis. - Xiang Li 040; Daming Shi 001; Varoon Charastrakul; Junhong Zhou (J. Intell. Manuf., 2009)

Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification. - Junhong Zhou; Chee Khiang Pang; Frank L. Lewis; Zhao-Wei Zhong (IEEE Trans. Ind. Informatics, 2009)

Tool Wear Forecast using Dominant Feature Identification of Acoustic Emissions. - Chee Khiang Pang; Junhong Zhou; Zhao-Wei Zhong; Frank L. Lewis (CCA, 2010)

Continuous health assessment using a single hidden Markov model. - Omid Geramifard; Jianxin Xu 001; Junhong Zhou; Xiang Li 040 (ICARCV, 2010)

An exTS based neuro-fuzzy algorithm for prognostics and tool condition monitoring. - Olivier Massol; Xiang Li 040; Rafael Gouriveau; Junhong Zhou; Oon Peen Gan (ICARCV, 2010)

A knowledge base system for rotary equipment fault detection and diagnosis. - Junhong Zhou; Louis Wee; Zhao-Wei Zhong (ICARCV, 2010)

Data-driven approaches in health condition monitoring - A comparative study. - Omid Geramifard; Jian-Xin Xu 001; Chee Khiang Pang; Junhong Zhou; Xiang Li 040 (ICCA, 2010)

Dominant Feature Identification for Industrial Fault Detection and Isolation Applications. - Junhong Zhou; Chee Khiang Pang; Frank L. Lewis; Zhao-Wei Zhong (Expert Syst. Appl., 2011)

Tool Wear Monitoring Using Acoustic Emissions by Dominant-Feature Identification. - Junhong Zhou; Chee Khiang Pang; Zhao-Wei Zhong; Frank L. Lewis (IEEE Trans. Instrum. Meas., 2011)

A Physically Segmented Hidden Markov Model Approach for Continuous Tool Condition Monitoring: Diagnostics and Prognostics. - Omid Geramifard; Jian-Xin Xu 001; Junhong Zhou; Xiang Li 040 (IEEE Trans. Ind. Informatics, 2012)

Precognitive maintenance and probabilistic assessment of tool wear using particle filters. - Heng-Chao Yan; Chee Khiang Pang; Jun-Hong Zhou (IECON, 2013)

A mixed Time-/condition-Based Precognitive Maintenance Framework for Zero-breakdown Industrial Systems. - Chee Khiang Pang; Junhong Zhou; Xiaoyun Wang (Control. Intell. Syst., 2013)

Predictive maintenance decision using statistical linear regression and kernel methods. - Tung Le; Ming Luo 003; Junhong Zhou; Hian-Leng Chan (ETFA, 2014)

Multimodal Hidden Markov Model-Based Approach for Tool Wear Monitoring. - Omid Geramifard; Jian-Xin Xu 001; Junhong Zhou; Xiang Li 040 (IEEE Trans. Ind. Electron., 2014)

Parameter update and PDF prediction of degradation using stage-based Gamma process. - Heng-Chao Yan; Junhong Zhou; Chee Khiang Pang; Xiang Li 040 (ETFA, 2015)

A two-step precognitive maintenance framework for equipment fault diagnosis with imbalanced data. - Heng-Chao Yan; Jun-Hong Zhou; Chee Khiang Pang (IECON, 2015)

Cost optimization on warning threshold and non-fixed periodic inspection intervals for machine degradation monitoring. - Heng-Chao Yan; Jun-Hong Zhou; Chee Khiang Pang (IECON, 2015)

A data-driven two-stage maintenance framework for degradation prediction in semiconductor manufacturing industries. - Ming Luo 003; Heng-Chao Yan; Bin Hu; Junhong Zhou; Chee Khiang Pang (Comput. Ind. Eng., 2015)

PDF and Breakdown Time Prediction for Unobservable Wear Using Enhanced Particle Filters in Precognitive Maintenance. - Chee Khiang Pang; Junhong Zhou; Heng-Chao Yan (IEEE Trans. Instrum. Meas., 2015)

New types of faults detection and diagnosis using a mixed soft & hard clustering framework. - Heng-Chao Yan; Junhong Zhou; Chee Khiang Pang (ETFA, 2016)

Reduction of Dual-task Costs by Noninvasive Modulation of Prefrontal Activity in Healthy Elders. - Brad Manor; Junhong Zhou; Azizah Jor'dan; Jue Zhang; Jing Fang; Alvaro Pascual-Leone (J. Cogn. Neurosci., 2016)

Machinery Degradation Inspection and Maintenance Using a Cost-Optimal Non-Fixed Periodic Strategy. - Heng-Chao Yan; Junhong Zhou; Chee Khiang Pang (IEEE Trans. Instrum. Meas., 2016)

A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring. - Chong Zhang 003; Geok Soon Hong; Huan Xu; Kay Chen Tan; Jun-Hong Zhou; Hian-Leng Chan; Haizhou Li 001 (ETFA, 2017)

Gaussian mixture model for new fault categories diagnosis. - Junhong Zhou; Chee Khiang Pang; Weili Yan (ETFA, 2017)

Gaussian Mixture Model Using Semisupervised Learning for Probabilistic Fault Diagnosis Under New Data Categories. - Heng-Chao Yan; Junhong Zhou; Chee Khiang Pang (IEEE Trans. Instrum. Meas., 2017)

Early Fault Detection of Aircraft Components Using Flight Sensor Data. - Weili Yan; Jun-Hong Zhou (ETFA, 2018)

Gated Recurrent Units Based Neural Network For Tool Condition Monitoring. - Huan Xu; Chong Zhang 003; Geok Soon Hong; Junhong Zhou; Jihoon Hong; Keng Soon Woon (IJCNN, 2018)

A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring. - Chong Zhang 003; Geok Soon Hong; Jun-Hong Zhou; Kay Chen Tan; Haizhou Li 001; Huan Xu; Jihoon Hong; Hian-Leng Chan (CoRR, 2018)

Quality monitoring of spot welding with advanced signal processing and data-driven techniques. - Xing-Jue Wang; Jun-Hong Zhou; Heng-Chao Yan; Chee Khiang Pang (Trans. Inst. Meas. Control, 2018)

Coarse-to-Fine Tool Condition Monitoring using Multiple Gated Recurrent Units. - Huan Xu; Geok Soon Hong; Jun-Hong Zhou; Jihoon Hong; Keng Soon Woon (IECON, 2019)

A novel smartphone App-based assessment of standing postural control: Demonstration of reliability and sensitivity to aging and task constraints. - Junhong Zhou; Wanting Yu; Hao Zhu; On-Yee Lo; Natalia A. Gouskova; Thomas Travison; Lewis A. Lipsitz; Alvaro Pascual-Leone; Brad Manor (HealthCom, 2020)

NPBS database: a chemical data resource with relational data between natural products and biological sources. - Tingjun Xu; Weiming Chen; Junhong Zhou; Jingfang Dai; Yingyong Li; Yingli Zhao (Database J. Biol. Databases Curation, 2020)

Neural machine translation of chemical nomenclature between English and Chinese. - Tingjun Xu; Weiming Chen; Junhong Zhou; Jingfang Dai; Yingyong Li; Yingli Zhao (J. Cheminformatics, 2020)

A Multi-Sensor Wearable System for the Quantitative Assessment of Parkinson's Disease. - Han Zhang 041; Chuantao Li; Wei Liu; Jingying Wang; Junhong Zhou; Shouyan Wang (Sensors, 2020)

High-rise Constant Pressure Water Supply Control System Based on Fuzzy PID. - Wencheng Wang; Zhenmin Wu; Huanli Liu; Yongbing Lin; Junhong Zhou; Song Ye (ICIIP, 2021)

A Smartphone App-Based Application Enabling Remote Assessments of Standing Balance During the COVID-19 Pandemic and Beyond. - Junhong Zhou; Xin Jiang 004; Wanting Yu; Hao Zhu; On-Yee Lo; Natalia A. Gouskova; Thomas Travison; Lewis A. Lipsitz; Alvaro Pascual-Leone; Brad Manor (IEEE Internet Things J., 2021)

Clustered-patch Element Connection for Few-shot Learning. - Jinxiang Lai; Siqian Yang; Junhong Zhou; Wenlong Wu; Xiaochen Chen; Jun Liu 071; Bin-Bin Gao; Chengjie Wang (IJCAI, 2023)

Multisource Unsupervised Subdomain Adaptation Network for Rotary Machine Fault Diagnosis. - Fengqin Huang; Xiaofei Zhang; Derong Luo; Guojun Qin; Sheng Huang; Jinping Xie; Junhong Zhou; Tianbiao Rong (IEEE Trans. Instrum. Meas., 2023)

Multisensor-Driven Motor Fault Diagnosis Method Based on Visual Features. - Yao Tang; Xiaofei Zhang; Sheng Huang; Guojun Qin; Yunze He; Yinpeng Qu; Jinping Xie; Junhong Zhou; Zhuo Long (IEEE Trans. Ind. Informatics, 2023)

RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding. - Junyao Wang 001; Arnav Vaibhav Malawade; Junhong Zhou; Shih-Yuan Yu; Mohammad Abdullah Al Faruque (WACV, 2024)

CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models. - Dongyu Yao; Keling Yao; Junhong Zhou; Yinghao Zhang (CoRR, 2024)

Fine-grained image recognition method for digital media based on feature enhancement strategy. - Tieyu Zhou; Linyi Gao; Ranjun Hua; Junhong Zhou; Jinao Li; Yawen Guo; Yan Zhang (Neural Comput. Appl., 2024)

Correction: Fine-grained image recognition method for digital media based on feature enhancement strategy. - Tieyu Zhou; Linyi Gao; Ranjun Hua; Junhong Zhou; Jinao Li; Yawen Guo; Yan Zhang (Neural Comput. Appl., 2024)

Interpretable Leakage Flux Pattern of Motor for Complex Electromechanical System. - Junhong Zhou; Xiaofei Zhang; Yinpeng Qu; Shuming Yang; Guojun Qin (IEEE Trans. Ind. Informatics, 2025)