Compressed sensing based on dictionary learning for extracting impulse components. - Xuefeng Chen 002; Zhaohui Du; Jimeng Li; Xiang Li 005; Han Zhang 036 (Signal Process., 2014)

An Adaptive Randomized Orthogonal Matching Pursuit Algorithm With Sliding Window for Rolling Bearing Fault Diagnosis. - Jimeng Li; Ming Li 046; Xifeng Yao; Hui Wang 024 (IEEE Access, 2018)

Introducing article numbering to Computer Science Review. - Jimeng Li (Comput. Sci. Rev., 2019)

Introducing article numbering to Knowledge-Based Systems. - Jimeng Li (Knowl. Based Syst., 2019)

Extracting-mapping scheme for the dynamic details in fluid re-simulations from videos. - Hongyan Quan; Ning Wang 081; Jimeng Li; Changbo Wang (Multim. Syst., 2019)

Publisher's Note. - Jimeng Li (Vis. Informatics, 2020)

Publisher note. - Jimeng Li; Sarah Jenkins (Intell. Syst. Appl., 2021)

Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearing. - Jimeng Li; Xing Cheng; Qiang Li; Zong Meng (Signal Process., 2021)

Rolling Bearing Fault Detection Based on Improved Piecewise Unsaturated Bistable Stochastic Resonance Method. - Jimeng Li; Xiangdong Wang; Hao Wu (IEEE Trans. Instrum. Meas., 2021)

A local RBFs-based DQ approximation for Riesz fractional derivatives and its applications. - Xiaogang Zhu; Jimeng Li; Yaping Zhang (Numer. Algorithms, 2022)

Prototype Learning Based Realistic 3D Terrain Generation from User Semantics. - Yan Gao 004; Jimeng Li; Jianzhong Xu; Xiao Song; Hongyan Quan (AsiaSim (1), 2023)

Fractional Fourier Domain Feature Fusion Combining Multichannel Targeting Extreme Learning Machine for Bearing Fault Diagnosis. - Zong Meng; Ruxue Bai; Quansheng Xu; Jimeng Li; Fengjie Fan (IEEE Trans. Instrum. Meas., 2023)

Maximum Cyclic Gini Index Deconvolution for Rolling Bearing Fault Diagnosis. - Zong Meng; Zhaolin Cui; Jingbo Liu; Jimeng Li; Fengjie Fan (IEEE Trans. Instrum. Meas., 2023)

Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model. - Wanmeng Ding; Jimeng Li; Weilin Mao; Zong Meng; Zhongjie Shen (Reliab. Eng. Syst. Saf., 2023)

An improved variational mode decomposition method based on spectrum reconstruction and segmentation and its application in rolling bearing fault diagnosis. - Zong Meng; Jing Liu; Jingbo Liu; Jimeng Li; Lixiao Cao; Fengjie Fan; Shancheng Yu (Digit. Signal Process., 2023)

A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery. - Zong Meng; Huihui He; Wei Cao; Jimeng Li; Lixiao Cao; Jingjing Fan; Meng Zhu; Fengjie Fan (Expert Syst. Appl., 2023)

Condition monitoring of wind turbine based on a novel spatio-temporal feature aggregation network integrated with adaptive threshold interval. - Lixiao Cao; Jie Zhang; Zheng Qian; Zong Meng; Jimeng Li (Adv. Eng. Informatics, 2024)

Fault transfer diagnosis of rolling bearings across different devices via multi-domain information fusion and multi-kernel maximum mean discrepancy. - Jimeng Li; Zhangdi Ye; Jie Gao; Zong Meng; Kai Tong; Shancheng Yu (Appl. Soft Comput., 2024)

A novel diagnostic framework based on vibration image encoding and multi-scale neural network. - Yang Guan; Zong Meng; Jimeng Li; Wei Cao; Dengyun Sun; Jingbo Liu; Fengjie Fan (Expert Syst. Appl., 2024)

HeMTAN: Hybrid task-adapted experts-based multi-task attention network for unseen compound fault decoupling diagnosis of rotating machinery. - Jimeng Li; Wei Wang; Sai Zhong; Zong Meng; Lixiao Cao (Expert Syst. Appl., 2024)

RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network. - Jimeng Li; Weilin Mao; Bixin Yang; Zong Meng; Kai Tong; Shancheng Yu (Reliab. Eng. Syst. Saf., 2024)

A novel multi-task fault detection model embedded with spatio-temporal feature fusion for wind turbine pitch and drive train systems. - Lixiao Cao; Zhiqiang Li; Jimeng Li; Zheng Qian; Zong Meng; Miaomiao Liu (Adv. Eng. Informatics, 2025)

A remaining useful life prediction method of rolling bearings by RSA-BAFT combined with Copula Entropy feature selection. - Zong Meng; Shufan Ma; Wei Cao; Jimeng Li; Lixiao Cao; Fengjie Fan; Xingzhao Wang (Expert Syst. Appl., 2025)

MT-CDGAT: A multi-label diagnosis model for untrained planetary gearbox compound faults based on multi-task cross dynamic graph attention networks. - Lixiao Cao; Yixu Wang; Jimeng Li; Zheng Qian; Zong Meng; Miaomiao Liu (Neurocomputing, 2025)

A Remaining Useful Life Prediction Method for Rolling Bearing Based on TCN-Transformer. - Wei Cao; Zong Meng; Jimeng Li; Jie Wu; Fengjie Fan (IEEE Trans. Instrum. Meas., 2025)

A Novel Cross-Scenario Transferable RUL Prediction Network With Multisource Domain Meta Transfer Learning for Wind Turbine Bearings. - Lixiao Cao; Xueping Wang; Hongyu Zhang; Zong Meng; Jimeng Li; Miaomiao Liu (IEEE Trans. Instrum. Meas., 2025)

Few-Shot Fault Diagnosis of Rolling Bearings Based on Category-Enhanced Siamese Attention Hierarchical-Embedded UNet Network. - Jimeng Li; Jie Gao; Qixian Huang; Zong Meng (IEEE Trans. Instrum. Meas., 2025)

Velocity-Matching Extraction Demodulation Transform for Nonstationary Signal Analysis of Rolling Bearings. - Zong Meng; Yabo Wang; Jingbo Liu; Jimeng Li; Fengjie Fan (IEEE Trans. Instrum. Meas., 2025)

A similarity-guided block-structured dictionary learning method for fault feature extraction of rolling bearings. - Jimeng Li; Qingxin Shi; Xilei Guan; Zong Meng (Signal Process., 2026)