Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes. - Minghang Zhao; Myeongsu Kang; Baoping Tang; Michael G. Pecht (IEEE Trans. Ind. Electron., 2018)

Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis. - Minghang Zhao; Myeongsu Kang; Baoping Tang; Michael G. Pecht (IEEE Trans. Ind. Electron., 2019)

Deep Residual Shrinkage Networks for Fault Diagnosis. - Minghang Zhao; Shisheng Zhong; Xuyun Fu; Baoping Tang; Michael G. Pecht (IEEE Trans. Ind. Informatics, 2020)

A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection. - Song Fu; Shisheng Zhong; Lin Lin 014; Minghang Zhao (Eng. Appl. Artif. Intell., 2021)

Deep residual LSTM with domain-invariance for remaining useful life prediction across domains. - Song Fu; Yongjian Zhang; Lin Lin 014; Minghang Zhao; Shi-sheng Zhong (Reliab. Eng. Syst. Saf., 2021)

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis. - Minghang Zhao; Shisheng Zhong; Xuyun Fu; Baoping Tang; Shaojiang Dong; Michael G. Pecht (IEEE Trans. Ind. Electron., 2021)

Self-Attention ConvLSTM and Its Application in RUL Prediction of Rolling Bearings. - Biao Li; Baoping Tang; Lei Deng 008; Minghang Zhao (IEEE Trans. Instrum. Meas., 2021)

Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network. - Dan Liu; Shisheng Zhong; Lin Lin 014; Minghang Zhao; Xuyun Fu; Xueyun Liu (Adv. Eng. Informatics, 2022)

Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks. - Minghang Zhao; Xuyun Fu; Yongjian Zhang; Linghui Meng 002; Baoping Tang (Adv. Eng. Informatics, 2022)

Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps. - Linghui Meng 002; Minghang Zhao; Zhiquan Cui; Xingming Zhang; Shisheng Zhong (Comput. Ind., 2022)

CAE-WANN: A novel anomaly detection method for gas turbines via search space extension. - Shisheng Zhong; Dan Liu; Lin Lin 014; Minghang Zhao; Xuyun Fu; Feng Guo (Qual. Reliab. Eng. Int., 2022)

Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps. - Minghang Zhao; Xuyun Fu; Yongjian Zhang; Linghui Meng 002; Shisheng Zhong (IEEE Trans. Instrum. Meas., 2022)

A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction. - Song Fu; Shisheng Zhong; Lin Lin 014; Minghang Zhao (IEEE Trans. Neural Networks Learn. Syst., 2022)

CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity. - Dan Liu; Shisheng Zhong; Lin Lin 014; Minghang Zhao; Xuyun Fu; Xueyun Liu (Neural Comput. Appl., 2023)

A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings. - Tao Zuo; Kai Zhang 051; Qing Zheng; Xianxin Li; Zhixuan Li; Guofu Ding; Minghang Zhao (Reliab. Eng. Syst. Saf., 2023)

Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines. - Dan Liu; Shisheng Zhong; Lin Lin 014; Minghang Zhao; Xuyun Fu; Xueyun Liu (Comput. Ind., 2023)

DsP-YOLO: An anchor-free network with DsPAN for small object detection of multiscale defects. - Yan Zhang; Haifeng Zhang; Qingqing Huang; Yan Han; Minghang Zhao (Expert Syst. Appl., 2024)

HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines. - Dan Liu; Shisheng Zhong; Lin Lin 014; Minghang Zhao; Xuyun Fu; Xueyun Liu (Knowl. Based Syst., 2024)

DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications. - Song Fu; Limin Zou; Yue Wang 087; Lin Lin 014; Yifan Lu; Minghang Zhao; Feng Guo; Shisheng Zhong (Reliab. Eng. Syst. Saf., 2024)

An Open-Set Method for Diagnosing Unknown Bogie Bearing Faults Using a Hybrid Open Score Relation Network. - Fengfei Huang; Kai Zhang 051; Qing Zheng; Zhixuan Li; Xuwei Lai; Guofu Ding; Minghang Zhao (IEEE Trans. Instrum. Meas., 2024)

An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels. - Guohao Qin; Kai Zhang 051; Xuwei Lai; Qing Zheng; Guofu Ding; Minghang Zhao; Yuehong Zhang (IEEE Trans. Instrum. Meas., 2024)

MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction. - Song Fu; Lin Lin 014; Yue Wang 087; Feng Guo; Minghang Zhao; Baihong Zhong; Shisheng Zhong (Reliab. Eng. Syst. Saf., 2024)

Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines. - Dan Liu; Shisheng Zhong; Lin Lin 014; Minghang Zhao; Xuyun Fu; Xueyun Liu (Expert Syst. Appl., 2024)

Continual contrastive reinforcement learning: Towards stronger agent for environment-aware fault diagnosis of aero-engines through long-term optimization under highly imbalance scenarios. - Haoze Wu; Shisheng Zhong; Minghang Zhao; Xuyun Fu; Yongjian Zhang; Song Fu (Adv. Eng. Informatics, 2025)

CUR-Estimator: Towards reliable missing data imputation for aero-engine degradation process. - Haoze Wu; Shisheng Zhong; Minghang Zhao; Xuyun Fu; Yongjian Zhang; Song Fu (Neurocomputing, 2025)

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN. - Lin Wang; Xiancheng Wang; Rui Wang; Zhibo Zhang; Minghang Zhao (CoRR, 2025)

DKAMFormer: Domain Knowledge-Augmented Multiscale Transformer for Remaining Useful Life Prediction of Aeroengine. - Song Fu; Yue Wang 087; Lin Lin 014; Minghang Zhao; Lizheng Zu; Yifan Lu; Feng Guo; Shiwei Suo; Yikun Liu; Sihao Zhang; Shisheng Zhong (IEEE CAA J. Autom. Sinica, 2025)