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)

Generative Adversarial Network Based Multi-class Imbalanced Fault Diagnosis of Rolling Bearing. - Qianjun Liu; Guijun Ma; Cheng Cheng (ICSRS, 2019)

Artificial Intelligent Diagnosis and Monitoring in Manufacturing. - Ye Yuan 002; Guijun Ma; Cheng Cheng; Beitong Zhou; Huan Zhao 001; Hai-Tao Zhang; Han Ding 001 (CoRR, 2019)

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. - Cheng Cheng; Beitong Zhou; Guijun Ma; Dongrui Wu; Ye Yuan 002 (CoRR, 2019)

A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series. - Wenqian Jiang; Cheng Cheng; Beitong Zhou; Guijun Ma; Ye Yuan 002 (CoRR, 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)

Data Fusion Generative Adversarial Network for Multi-Class Imbalanced Fault Diagnosis of Rotating Machinery. - Qianjun Liu; Guijun Ma; Cheng Cheng (IEEE Access, 2020)

Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data. - Cheng Cheng; Beitong Zhou; Guijun Ma; Dongrui Wu; Ye Yuan 002 (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)

Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE. - Yong Zhang; Yuqi Xin; Zhi-Wei Liu; Ming Chi; Guijun Ma (Reliab. Eng. Syst. Saf., 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)

An overview of data-driven battery health estimation technology for battery management system. - Minzhi Chen; Guijun Ma; Weibo Liu 001; Nianyin Zeng; Xin Luo 001 (Neurocomputing, 2023)

A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries. - Guijun Ma; Songpei Xu; Tao Yang 003; Zhenbang Du; Limin Zhu 001; Han Ding 001; Ye Yuan 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

SDI: A sparse drift identification approach for force/torque sensor calibration in industrial robots. - Xuechun Qiao; Chenxuan Xu; Yasen Wang; Guijun Ma (Neurocomputing, 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)