Minghang Zhao - RankMe

33 papers Journal 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A lightweight granular perception feature pyramid network with context-awareness for small traffic sign detection. Expert Syst. Appl. Yan Zhang, Dengfeng Bi, Qingqing Huang, Yan Han, Minghang Zhao
2026	J	`jnl`	A novel majority-oriented over-sampling technique and its application in imbalanced anomaly detection of aero-engines. Reliab. Eng. Syst. Saf. Dan Liu, Haibo Gao, Lin Lin, Song Fu, Minghang Zhao, Shisheng Zhong
2026	J	`jnl`	BoundAD: Boundary-Aware Negative Generation for Time Series Anomaly Detection. CoRR Xiancheng Wang, Lin Wang, Zhibo Zhang, Rui Wang, Minghang Zhao
2026	J	`jnl`	Domain knowledge-enhanced dual-stream graph joint learning network for aeroengine remaining useful life prediction. Reliab. Eng. Syst. Saf. Yikun Liu, Song Fu, Lin Lin, Dan Liu, Minghang Zhao, Yifan Lu
2026	J	`jnl`	Engine-specific degradation prediction of aviation engines via transferable snippet augmentation: A trend-grouped fine-tuning perspective. Adv. Eng. Informatics Haoze Wu, Shisheng Zhong, Minghang Zhao, Yongjian Zhang, Xuyun Fu, Song Fu
2025	J	`jnl`	CUR-Estimator: Towards reliable missing data imputation for aero-engine degradation process. Neurocomputing Haoze Wu, Shisheng Zhong, Minghang Zhao, Xuyun Fu, Yongjian Zhang, Song Fu
2025	J	`jnl`	Continual contrastive reinforcement learning: Towards stronger agent for environment-aware fault diagnosis of aero-engines through long-term optimization under highly imbalance scenarios. Adv. Eng. Informatics Haoze Wu, Shisheng Zhong, Minghang Zhao, Xuyun Fu, Yongjian Zhang, Song Fu
2025	J	`jnl`	DKAMFormer: Domain Knowledge-Augmented Multiscale Transformer for Remaining Useful Life Prediction of Aeroengine. IEEE CAA J. Autom. Sinica Song Fu, Yue Wang, Lin Lin, Minghang Zhao, Lizheng Zu, Yifan Lu, Feng Guo, Shiwei Suo, Yikun Liu, Sihao Zhang, Shisheng Zhong
2025	J	`jnl`	Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN. CoRR Lin Wang, Xiancheng Wang, Rui Wang, Zhibo Zhang, Minghang Zhao
2025	J	`jnl`	Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection. CoRR Xiancheng Wang, Lin Wang, Rui Wang, Zhibo Zhang, Minghang Zhao
2024	J	`jnl`	An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels. IEEE Trans. Instrum. Meas. Guohao Qin, Kai Zhang, Xuwei Lai, Qing Zheng, Guofu Ding, Minghang Zhao, Yuehong Zhang
2024	J	`jnl`	An Open-Set Method for Diagnosing Unknown Bogie Bearing Faults Using a Hybrid Open Score Relation Network. IEEE Trans. Instrum. Meas. Fengfei Huang, Kai Zhang, Qing Zheng, Zhixuan Li, Xuwei Lai, Guofu Ding, Minghang Zhao
2024	J	`jnl`	DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications. Reliab. Eng. Syst. Saf. Song Fu, Limin Zou, Yue Wang, Lin Lin, Yifan Lu, Minghang Zhao, Feng Guo, Shisheng Zhong
2024	J	`jnl`	DsP-YOLO: An anchor-free network with DsPAN for small object detection of multiscale defects. Expert Syst. Appl. Yan Zhang, Haifeng Zhang, Qingqing Huang, Yan Han, Minghang Zhao
2024	J	`jnl`	Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines. Expert Syst. Appl. Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu
2024	J	`jnl`	HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines. Knowl. Based Syst. Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu
2024	J	`jnl`	MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction. Reliab. Eng. Syst. Saf. Song Fu, Lin Lin, Yue Wang, Feng Guo, Minghang Zhao, Baihong Zhong, Shisheng Zhong
2023	J	`jnl`	A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings. Reliab. Eng. Syst. Saf. Tao Zuo, Kai Zhang, Qing Zheng, Xianxin Li, Zhixuan Li, Guofu Ding, Minghang Zhao
2023	J	`jnl`	CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity. Neural Comput. Appl. Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu
2023	J	`jnl`	Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines. Comput. Ind. Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu
2022	J	`jnl`	A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao
2022	J	`jnl`	CAE-WANN: A novel anomaly detection method for gas turbines via search space extension. Qual. Reliab. Eng. Int. Shisheng Zhong, Dan Liu, Lin Lin, Minghang Zhao, Xuyun Fu, Feng Guo
2022	J	`jnl`	Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps. IEEE Trans. Instrum. Meas. Minghang Zhao, Xuyun Fu, Yongjian Zhang, Linghui Meng, Shisheng Zhong
2022	J	`jnl`	Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps. Comput. Ind. Linghui Meng, Minghang Zhao, Zhiquan Cui, Xingming Zhang, Shisheng Zhong
2022	J	`jnl`	Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network. Adv. Eng. Informatics Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu
2022	J	`jnl`	Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks. Adv. Eng. Informatics Minghang Zhao, Xuyun Fu, Yongjian Zhang, Linghui Meng, Baoping Tang
2021	J	`jnl`	A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection. Eng. Appl. Artif. Intell. Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao
2021	J	`jnl`	Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis. IEEE Trans. Ind. Electron. Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael G. Pecht
2021	J	`jnl`	Deep residual LSTM with domain-invariance for remaining useful life prediction across domains. Reliab. Eng. Syst. Saf. Song Fu, Yongjian Zhang, Lin Lin, Minghang Zhao, Shi-sheng Zhong
2021	J	`jnl`	Self-Attention ConvLSTM and Its Application in RUL Prediction of Rolling Bearings. IEEE Trans. Instrum. Meas. Biao Li, Baoping Tang, Lei Deng, Minghang Zhao
2020	J	`jnl`	Deep Residual Shrinkage Networks for Fault Diagnosis. IEEE Trans. Ind. Informatics Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Michael G. Pecht
2019	J	`jnl`	Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis. IEEE Trans. Ind. Electron. Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht
2018	J	`jnl`	Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes. IEEE Trans. Ind. Electron. Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht