Higher density wavelet frames with symmetric low-pass and band-pass filters. - Yi Qin 004; Jiaxu Wang; Baoping Tang; Yongfang Mao (Signal Process., 2010)

Adaptive signal decomposition based on wavelet ridge and its application. - Yi Qin 004; Baoping Tang; Yongfang Mao (Signal Process., 2016)

Scenario Generation for Wind Power Using Improved Generative Adversarial Networks. - Congmei Jiang; Yongfang Mao; Yi Chai; Mingbiao Yu; Songbing Tao (IEEE Access, 2018)

Compound Damages Detection for Rotors by the Coupled Piezoelectric Impedance. - Yongfang Mao; Yi Qin 004; Aibing Zhang (IEEE Access, 2018)

Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach. - Congmei Jiang; Yize Chen; Yongfang Mao; Yi Chai; Mingbiao Yu (CoRR, 2019)

A Method for Imbalanced Fault Diagnosis Based on Self-attention Generative Adversarial Network. - Xin Chen; Yongfang Mao; Baoming Zhang; Yi Chai; Zhenli Yang (NCAA, 2021)

Self-supervised Learning Advance Fault Diagnosis of Rotating Machinery. - Baoming Zhang; Yongfang Mao; Xin Chen; Yi Chai; Zhenli Yang (NCAA, 2021)

Research on Knowledge Graph Construction for Operational Safety of Cryogenic Loading System. - Shuo Li; Yi Chai; Yongfang Mao; Yunling Liu; Yiming Wang 005 (SAFEPROCESS, 2023)

Bearing Remaining Useful Life Prediction based on TCN-Transformer Model. - Yi'an Zhuo; Ziming Hao; Yongfang Mao; Yi Chai; Le Ma (SAFEPROCESS, 2023)

Adaptive Fast Chirplet Transform and Its Application Into Rolling Bearing Fault Diagnosis Under Time-Varying Speed Condition. - Yi Qin 004; Rui Yang; Haiyang Shi; Biao He; Yongfang Mao (IEEE Trans. Instrum. Meas., 2023)

A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction. - Yi Qin 004; Jiahong Yang; Jianghong Zhou; Huayan Pu; Yongfang Mao (Adv. Eng. Informatics, 2023)

Adaptive manifold partial domain adaptation for fault transfer diagnosis of rotating machinery. - Yi Qin 004; Quan Qian; Zhengyi Wang; Yongfang Mao (Eng. Appl. Artif. Intell., 2023)

Unsupervised health indicator construction by a new Gaussian-student's t-distribution mixture model and its application. - Dingliang Chen; Yi Chai; Yongfang Mao; Yi Qin 004 (Adv. Eng. Informatics, 2024)

Faulty rolling bearing digital twin model and its application in fault diagnosis with imbalanced samples. - Yi Qin 004; Hongyu Liu; Yongfang Mao (Adv. Eng. Informatics, 2024)

Inverse physics-informed neural networks for digital twin-based bearing fault diagnosis under imbalanced samples. - Yi Qin 004; Hongyu Liu; Yi Wang 043; Yongfang Mao (Knowl. Based Syst., 2024)

Adaptive generic prototype network with geodesic distance for cross-domain few-shot fault diagnosis. - Yi Qin 004; Qijun Wen; Lv Wang; Yongfang Mao (Knowl. Based Syst., 2024)

Multilabel Decoupling Diagnosis for Compound Faults by Improved Deep Q-Network. - Yi Qin 004; Xiwen Liu; Yongfang Mao (IEEE Trans. Instrum. Meas., 2024)

Zero-Shot Attribute Consistent Model for Bearing Fault Diagnosis Under Unknown Domain. - Yi Qin 004; Lv Wang; Quan Qian; Yongfang Mao (IEEE Trans. Instrum. Meas., 2024)

Large Model for Rotating Machine Fault Diagnosis Based on a Dense Connection Network With Depthwise Separable Convolution. - Yi Qin 004; Taisheng Zhang; Quan Qian; Yongfang Mao (IEEE Trans. Instrum. Meas., 2024)

Mechanism-Assisted Deep State Space Model for Dynamic System Identification. - Shuo Li; Xiaolong Chen; Yi Chai; Ke Zhang 006; Yongfang Mao (IEEE Trans. Ind. Informatics, 2024)

Simulation-data Driven Generalized Zero-Shot Learning for Multi-agent Bearing Compound Fault Diagnosis. - Yi Qin 004; Xiwen Liu; Xin Li; Yongfang Mao (Knowl. Based Syst., 2025)

Spatial-temporal multi-sensor information fusion network with prior knowledge embedding for equipment remaining useful life prediction. - Yi Qin 004; Yihang Zhao; Junyu Qi; Yongfang Mao (Reliab. Eng. Syst. Saf., 2025)

Bearing Remaining Useful Life Prediction Based on CICAE and ResConv1D-LSTM. - Yi Qin 004; Yihang Zhao; Yi'an Zhuo; Yi Chai; Zhenli Yang; Yongfang Mao (IEEE Trans. Instrum. Meas., 2025)

Mutual Information-Guided Domain-Shared Feature Learning for Bearing Fault Diagnosis Under Unknown Conditions. - Kaixiong Xu; Shuang Li; Shuiqing Xu; Youqiang Hu; Yongfang Mao; Yi Chai (IEEE Trans. Instrum. Meas., 2025)

Fast Estimation of Shapley Value by Stratified Sampling and Its Application in Explaining Fault Diagnosis Neural Network. - Biao He; Yongfang Mao; Yi Qin 004 (IEEE Internet Things J., 2025)

Enhanced YOLOv7 with three-dimensional attention and its application into underwater object detection. - Yi Qin 004; Chen Liang; Yongfang Mao; Mingliang Zhou (Multim. Tools Appl., 2025)