Next-Day Power Market Clearing Price Forecasting Using Artificial Fish-Swarm Based Neural Network. - Chuan Li 003; Shilong Wang (ISNN (2), 2006)

Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach. - Chuan Li 003; Xianming Zhang; Shilong Wang; Yutao Dong; Jing Chen (IDEAL, 2008)

Scheduling optimisation for supply chain in networked manufacturing. - Chuan Li 003; Shilong Wang; Xianming Zhang; Hong Gu; Ling Kang (Int. J. Comput. Appl. Technol., 2011)

DelPhi web server v2: incorporating atomic-style geometrical figures into the computational protocol. - Nicholas Smith; Shawn Witham; Subhra Sarkar; Jie Zhang 035; Lin Li 003; Chuan Li 003; Emil Alexov (Bioinform., 2012)

Highly efficient and exact method for parallelization of grid-based algorithms and its implementation in DelPhi. - Chuan Li 003; Lin Li 003; Jie Zhang 035; Emil Alexov (J. Comput. Chem., 2012)

A generalized synchrosqueezing transform for enhancing signal time-frequency representation. - Chuan Li 003; Ming Liang (Signal Process., 2012)

Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination. - Bo Zeng 002; Chuan Li 003; Guo Chen 002; Wang Zhang (J. Appl. Math., 2013)

Continuous development of schemes for parallel computing of the electrostatics in biological systems: Implementation in DelPhi. - Chuan Li 003; Marharyta Petukh; Lin Li 003; Emil Alexov (J. Comput. Chem., 2013)

Enhancement of the Wear Particle Monitoring Capability of Oil Debris Sensors Using a Maximal Overlap Discrete Wavelet Transform with Optimal Decomposition Depth. - Chuan Li 003; Juan Peng; Ming Liang (Sensors, 2014)

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis. - Chuan Li 003; René-Vinicio Sánchez; Grover Zurita; Mariela Cerrada; Diego Cabrera 001; Rafael E. Vásquez (Neurocomputing, 2015)

Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal. - Mariela Cerrada; René-Vinicio Sánchez; Diego Cabrera 001; Grover Zurita; Chuan Li 003 (Sensors, 2015)

Clustering algorithm using rough set theory for unsupervised feature selection. - Fannia Pacheco; Mariela Cerrada; René-Vinicio Sánchez; Diego Cabrera 001; Chuan Li 003; José Valente de Oliveira (IJCNN, 2016)

A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery. - Fannia Pacheco; Mariela Cerrada; René-Vinicio Sánchez; Diego Cabrera 001; Chuan Li 003; José Valente de Oliveira (LA-CCI, 2016)

Hierarchical feature selection based on relative dependency for gear fault diagnosis. - Mariela Cerrada; René-Vinicio Sánchez; Fannia Pacheco; Diego Cabrera 001; Grover Zurita; Chuan Li 003 (Appl. Intell., 2016)

A novel multi-variable grey forecasting model and its application in forecasting the amount of motor vehicles in Beijing. - Bo Zeng 002; Chengming Luo; Sifeng Liu; Chuan Li 003 (Comput. Ind. Eng., 2016)

Observer-biased bearing condition monitoring: From fault detection to multi-fault classification. - Chuan Li 003; José Valente de Oliveira; Mariela Cerrada; Fannia Pacheco; Diego Cabrera 001; René-Vinicio Sánchez; Grover Zurita (Eng. Appl. Artif. Intell., 2016)

Development of an optimization method for the GM(1, N) model. - Bo Zeng 002; Chengming Luo; Sifeng Liu; Yun Bai 002; Chuan Li 003 (Eng. Appl. Artif. Intell., 2016)

A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions. - Fannia Pacheco; José Valente de Oliveira; René-Vinicio Sánchez; Mariela Cerrada; Diego Cabrera 001; Chuan Li 003; Grover Zurita; Mariano Artés (Neurocomputing, 2016)

Fuzzy determination of informative frequency band for bearing fault detection. - Chuan Li 003; José Valente de Oliveira; René-Vinicio Sánchez; Mariela Cerrada; Grover Zurita; Diego Cabrera 001 (J. Intell. Fuzzy Syst., 2016)

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning. - Chuan Li 003; René-Vinicio Sánchez; Grover Zurita; Mariela Cerrada; Diego Cabrera 001 (Sensors, 2016)

A multi-pattern deep fusion model for short-term bus passenger flow forecasting. - Yun Bai 002; Zhenzhong Sun; Bo Zeng 002; Jun Deng; Chuan Li 003 (Appl. Soft Comput., 2017)

Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation. - Diego Cabrera 001; Fernando Sancho; Chuan Li 003; Mariela Cerrada; René-Vinicio Sánchez; Fannia Pacheco; José Valente de Oliveira (Appl. Soft Comput., 2017)

Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery. - Fannia Pacheco; Mariela Cerrada; René-Vinicio Sánchez; Diego Cabrera 001; Chuan Li 003; José Valente de Oliveira (Expert Syst. Appl., 2017)

A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification. - Chuan Li 003; Luiz Ledo; Myriam Regattieri Delgado; Mariela Cerrada; Fannia Pacheco; Diego Cabrera 001; René-Vinicio Sánchez; José Valente de Oliveira (Knowl. Based Syst., 2017)

Deep neural networks-based rolling bearing fault diagnosis. - Zhiqiang Chen; Shengcai Deng; Xudong Chen; Chuan Li 003; René-Vinicio Sánchez; Huafeng Qin (Microelectron. Reliab., 2017)

Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application. - Bo Zeng 002; Chuan Li 003 (Comput. Ind. Eng., 2018)

A fuzzy transition based approach for fault severity prediction in helical gearboxes. - Mariela Cerrada; Chuan Li 003; René-Vinicio Sánchez; Fannia Pacheco; Diego Cabrera 001; José Valente de Oliveira (Fuzzy Sets Syst., 2018)

An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization. - Zhiqiang Chen; Ronglong Wang; René-Vinicio Sánchez; José Valente de Oliveira; Chuan Li 003 (Intell. Data Anal., 2018)

A comparison of fuzzy clustering algorithms for bearing fault diagnosis. - Chuan Li 003; Mariela Cerrada; Diego Cabrera 001; René-Vinicio Sánchez; Fannia Pacheco; Gözde Ulutagay; José Valente de Oliveira (J. Intell. Fuzzy Syst., 2018)

Advances in intelligent computing for diagnostics, prognostics, and system health management. - Chuan Li 003; José Valente de Oliveira (J. Intell. Fuzzy Syst., 2018)

Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines. - Kun He; Zhijun Yang; Yun Bai 002; Jianyu Long; Chuan Li 003 (Sensors, 2018)

Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery. - Diego Cabrera 001; Fernando Sancho; Jianyu Long; René-Vinicio Sánchez; Shaohui Zhang; Mariela Cerrada; Chuan Li 003 (IEEE Access, 2019)

Water-Resistant Smartphone Technologies. - Quanqing Yu; Rui Xiong; Chuan Li 003; Michael G. Pecht (IEEE Access, 2019)

Flexible Kurtogram for Extracting Repetitive Transients for Prognostics and Health Management of Rotating Components. - Jingjing Zhong; Jianyu Long; Shaohui Zhang; Chuan Li 003 (IEEE Access, 2019)

Dynamic condition monitoring for 3D printers by using error fusion of multiple sparse auto-encoders. - Shaohui Zhang; Zhenzhong Sun; Jianyu Long; Chuan Li 003; Yun Bai 002 (Comput. Ind., 2019)

A hybrid multi-objective genetic local search algorithm for the prize-collecting vehicle routing problem. - Jianyu Long; Zhenzhong Sun; Panos M. Pardalos; Ying Hong; Shaohui Zhang; Chuan Li 003 (Inf. Sci., 2019)

DelPhi Suite: New Developments and Review of Functionalities. - Chuan Li 003; Zhe Jia; Arghya Chakravorty; Swagata Pahari; Yunhui Peng; Sankar Basu; Mahesh Koirala; Shailesh Kumar Panday; Marharyta Petukh; Lin Li 003; Emil Alexov (J. Comput. Chem., 2019)

A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction. - Yun Bai 002; Zhenzhong Sun; Bo Zeng 002; Jianyu Long; Lin Li 003; José Valente de Oliveira; Chuan Li 003 (J. Intell. Manuf., 2019)

A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis. - Chuan Li 003; José Valente de Oliveira; Mariela Cerrada; Diego Cabrera 001; René-Vinicio Sánchez; Grover Zurita (IEEE Trans. Fuzzy Syst., 2019)

Forecasting Bus Passenger Flows by Using a Clustering-Based Support Vector Regression Approach. - Chuan Li 003; Xiaodan Wang; Zhiwei Cheng; Yun Bai 002 (IEEE Access, 2020)

A robust dynamic scheduling approach based on release time series forecasting for the steelmaking-continuous casting production. - Jianyu Long; Zhenzhong Sun; Panos M. Pardalos; Yun Bai 002; Shaohui Zhang; Chuan Li 003 (Appl. Soft Comput., 2020)

Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor. - Diego Cabrera 001; Adriana Guamán; Shaohui Zhang; Mariela Cerrada; René-Vinicio Sánchez; Juan Cevallos; Jianyu Long; Chuan Li 003 (Neurocomputing, 2020)

A systematic review of deep transfer learning for machinery fault diagnosis. - Chuan Li 003; Shaohui Zhang; Yi Qin 004; Edgar Estupiñan (Neurocomputing, 2020)

Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification. - Diego Cabrera 001; Fernando Sancho; Mariela Cerrada; René-Vinicio Sánchez; Chuan Li 003 (Inf. Sci., 2020)

Generative Transfer Learning for Intelligent Fault Diagnosis of the Wind Turbine Gearbox. - Jianwen Guo; Jiapeng Wu; Shaohui Zhang; Jianyu Long; Weidong Chen; Diego Cabrera 001; Chuan Li 003 (Sensors, 2020)

Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss. - Aijun Yin; Yinghua Yan; Zhiyu Zhang; Chuan Li 003; René-Vinicio Sánchez (Sensors, 2020)

Deep Fuzzy Echo State Networks for Machinery Fault Diagnosis. - Shaohui Zhang; Zhenzhong Sun; Man Wang; Jianyu Long; Yun Bai 002; Chuan Li 003 (IEEE Trans. Fuzzy Syst., 2020)

Evolving Deep Echo State Networks for Intelligent Fault Diagnosis. - Jianyu Long; Shaohui Zhang; Chuan Li 003 (IEEE Trans. Ind. Informatics, 2020)

Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers. - Shaohui Zhang; Zhenzhong Sun; Chuan Li 003; Diego Cabrera 001; Jianyu Long; Yun Bai 002 (IEEE Trans. Ind. Informatics, 2020)

A Novel Sparse Echo Autoencoder Network for Data-Driven Fault Diagnosis of Delta 3-D Printers. - Jianyu Long; Zhenzhong Sun; Chuan Li 003; Ying Hong; Yun Bai 002; Shaohui Zhang (IEEE Trans. Instrum. Meas., 2020)

Self-supervised Contrastive Representation Learning for Machinery Fault Diagnosis. - Yadong Wei; Xiaoman Cai; Jianyu Long; Zhe Yang 014; Chuan Li 003 (NCAA, 2021)

A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge. - Yun Bai 002; Jingjing Xie; Dongqiang Wang; Wanjuan Zhang; Chuan Li 003 (Comput. Ind. Eng., 2021)

One-Shot Fault Diagnosis of Three-Dimensional Printers Through Improved Feature Space Learning. - Chuan Li 003; Diego Cabrera 001; Fernando Sancho; René-Vinicio Sánchez; Mariela Cerrada; José Valente de Oliveira (IEEE Trans. Ind. Electron., 2021)

Fault Diagnosis for Wind Turbine Gearboxes by Using Deep Enhanced Fusion Network. - Ziqiang Pu; Chuan Li 003; Shaohui Zhang; Yun Bai 002 (IEEE Trans. Instrum. Meas., 2021)

Coupled Hidden Markov Fusion of Multichannel Fast Spectral Coherence Features for Intelligent Fault Diagnosis of Rolling Element Bearings. - Hongchao Wang; Chuan Li 003; Wenliao Du (IEEE Trans. Instrum. Meas., 2021)

Theoretical Investigations on Kurtosis and Entropy and Their Improvements for System Health Monitoring. - Jingjing Zhong; Dong Wang 001; Ju'e Guo; Diego Cabrera 001; Chuan Li 003 (IEEE Trans. Instrum. Meas., 2021)

VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis. - Ziqiang Pu; Diego Cabrera 001; Chuan Li 003; José Valente de Oliveira (IEEE Intell. Syst., 2022)

Level-based multi-objective particle swarm optimizer for integrated production scheduling and vehicle routing decision with inventory holding, delivery, and tardiness costs. - Jianyu Long; Panos M. Pardalos; Chuan Li 003 (Int. J. Prod. Res., 2022)

A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses. - Ziqiang Pu; Diego Cabrera 001; Yun Bai 002; Chuan Li 003 (IEEE Trans. Ind. Electron., 2022)

Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification. - Zhe Yang 014; Jianyu Long; Yanyang Zi; Shaohui Zhang; Chuan Li 003 (IEEE Trans. Ind. Electron., 2022)

From Anomaly Detection to Novel Fault Discrimination for Wind Turbine Gearboxes With a Sparse Isolation Encoding Forest. - Wenliao Du; Zhen Guo; Chuan Li 003; Xiaoyun Gong; Ziqiang Pu (IEEE Trans. Instrum. Meas., 2022)

Self-Adaptation Graph Attention Network via Meta-Learning for Machinery Fault Diagnosis With Few Labeled Data. - Jianyu Long; Rongxin Zhang; Zhe Yang 014; Yunwei Huang; Yu Liu; Chuan Li 003 (IEEE Trans. Instrum. Meas., 2022)

Anomaly Detection of Rolling Element Bearings Based on Contrastive Representation. - Xiaotong Lei; Zhe Yang 014; Yunwei Huang; Jianyu Long; Chuan Li 003; Huiyu Huang (CSCWD, 2023)

Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults. - Yifan Wu; Chuan Li 003; Shuai Yang 004; Yun Bai 002 (Appl. Soft Comput., 2023)

A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions. - Liangwei Zhang; Qi Fan; Jing Lin 003; Zhicong Zhang; Xiaohui Yan; Chuan Li 003 (Eng. Appl. Artif. Intell., 2023)

A novel fault detection method for rotating machinery based on self-supervised contrastive representations. - Zhe Yang 014; Yunwei Huang; Faisal Nazeer; Yanyang Zi; Gianluca Valentino; Chuan Li 003; Jianyu Long; Huiyu Huang (Comput. Ind., 2023)

Rainfall Forecasting using a Bayesian framework and Long Short-Term Memory Multi-model Estimation based on an hourly meteorological monitoring network. Case of study: Andean Ecuadorian Tropical City. - Diego Cabrera 001; María J. Quinteros; Mariela Cerrada; René-Vinicio Sánchez; Mario Guallpa; Fernando Sancho; Chuan Li 003 (Earth Sci. Informatics, 2023)

Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot. - Ziqiang Pu; Diego Cabrera 001; Chuan Li 003; José Valente de Oliveira (Expert Syst. Appl., 2023)

Generative adversarial one-shot diagnosis of transmission faults for industrial robots. - Ziqiang Pu; Diego Cabrera 001; Yun Bai 002; Chuan Li 003 (Robotics Comput. Integr. Manuf., 2023)

Incrementally Contrastive Learning of Homologous and Interclass Features for the Fault Diagnosis of Rolling Element Bearings. - Chuan Li 003; Xiaotong Lei; Yunwei Huang; Faisal Nazeer; Jianyu Long; Zhe Yang 014 (IEEE Trans. Ind. Informatics, 2023)

A novel self-training semi-supervised deep learning approach for machinery fault diagnosis. - Jianyu Long; Yibin Chen; Zhe Yang 014; Yunwei Huang; Chuan Li 003 (Int. J. Prod. Res., 2023)

Corrections to "Water-Resistant Smartphone Technologies". - Quanqing Yu; Rui Xiong; Chuan Li 003; Michael G. Pecht (IEEE Access, 2024)

Dual-loss nonlinear independent component estimation for augmenting explainable vibration samples of rotating machinery faults. - Xiaoyun Gong; Mengxuan Hao; Chuan Li 003; Wenliao Du; Ziqiang Pu (Neurocomputing, 2024)

Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments. - Yan Zhang 132; Changqing Shen; Juanjuan Shi; Chuan Li 003; Xinhai Lin; Zhongkui Zhu; Dong Wang 001 (Knowl. Based Syst., 2024)

Masked Autoencoder via End-to-End Zero-Shot Learning for Fault Diagnosis of Unseen Classes. - Jianyu Long; Jing Lin 003; Lingli Jiang; Zhe Yang 014; Jianwen Guo; Tao Yin; Chuan Li 003 (IEEE Trans. Instrum. Meas., 2024)

An Asynchronous Gated Recurrent Network for Estimating Critical Transition of Bearing Deterioration. - Chuan Li 003; Yifan Wu; Yun Bai 002; Shuai Yang 004 (IEEE Trans. Ind. Informatics, 2024)

Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults. - Jianyu Long; Yibin Chen; Huiyu Huang; Zhe Yang 014; Yunwei Huang; Chuan Li 003 (J. Intell. Manuf., 2024)

Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform. - Liangwei Zhang; Jing Lin 003; Zhe Yang 014; Haidong Shao; Biyu Liu; Chuan Li 003 (IEEE Internet Things J., 2024)

Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning. - Ziqiang Pu; Lijuan Yan; Yun Bai 002; Diego Cabrera 001; Chuan Li 003 (IEEE Trans. Ind. Informatics, 2024)

A Spiny Claws Climbing Robot Based on Self-Sensing Soles. - Rui Li 066; Changze Wu; Shuang Yan; Chuan Li 003; Xinglong Gong; Chul-Hee Lee; Mengjie Shou (IEEE Robotics Autom. Lett., 2024)

Zero-shot fault diagnosis using soft semantic embedding of diffusion-encoded probability. - Chuan Li 003; Lijuan Yan; Ping Wang; Jianyu Long; Ziqiang Pu (Adv. Eng. Informatics, 2025)

Few-shot fault diagnosis of particle accelerator power system using a bidirectional discriminative prototype network. - Zhe Yang 014; Rongbing Ye; Lingli Jiang; Jianyu Long; Yunwei Huang; Chuan Li 003 (Appl. Soft Comput., 2025)

Few-Shot Diffusion Domain Generalization for Diagnosing Joint Reducer Faults in Industrial Robots. - Chuan Li 003; Qiyi Liu; Qibing Yu; Shuai Yang 004; Ziqiang Pu (IEEE Trans. Instrum. Meas., 2025)

Squeeze-and-excitation attention residual learning of propulsion fault features for diagnosing autonomous underwater vehicles. - Wenliao Du; Xinlong Yu; Zhen Guo; Hongchao Wang; Ziqiang Pu; Chuan Li 003 (J. Field Robotics, 2025)

Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults. - Chuan Li 003; Yifan Wu; Manjun Xiong; Shuai Yang 004; Yun Bai 002 (J. Intell. Manuf., 2025)

Multiscale Convolutional Reservoir Computing for Remaining Useful Life Prediction of Li-ion Batteries. - Chuan Li 003; Gaifang Guo; Ziqiang Pu (IEEE Trans. Consumer Electron., 2025)

Attention-Based Multisignal Representation of High-Resolution Time Series: A Fault Detection Method for Industrial Machinery. - Diego Cabrera 001; Jiapeng Wu; Mariela Cerrada; René-Vinicio Sánchez; Fernando Sancho; Jianyu Long; Chuan Li 003 (IEEE Trans. Ind. Electron., 2025)