[1] Lv Tang, Qing Zhang, Shaocheng Li, Jianping Xuan, Tielin Shi. Blending-target domain adaptation for intelligent fault recognition with minimum cycle spiking encoding and adversarial attack. IEEE Transactions on Industrial Informatics, 2025, 21(1): 673–682.（SCI，中科院一区） [2] Lv Tang, Qing Zhang, Jianping Xuan, Tielin Shi, Rui Li. Multitarget domain adaptation with transferable hyperbolic prototypes for intelligent fault diagnosis. Knowledge-Based Systems, 2022, 257: 109952.（SCI，中科院一区） [3] Lv Tang, Jianping Xuan, Tielin Shi, Qing Zhang. EnvelopeNet: A robust convolutional neural network with optimal kernels for intelligent fault diagnosis of rolling bearings. Measurement, 2021, 180.（SCI，中科院二区） [4] Lv Tang, Qing Zhang, Jianping Xuan. Domain adaptation for intelligent fault diagnosis from relation perspective. 14th International Conference on Damage Assessment of Structures, 2022, 2184(1): 012014.（EI） [5] Qing Zhang, Lv Tang, Jianping Xuan, Tielin Shi, Rui Li. An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion. Reliability Engineering and System Safety, 2023, 231: 109040.（SCI，中科院一区） [6] Qing Zhang, Lv Tang, Tan Chin-Hon, Tielin Shi, Jianping Xuan, Cheng Yu-Chao. GCVIF: pioneering explainable domain-shared representation learning for fault signal detection in multiple working states simultaneously[J]. IEEE Internet of Things Journal, 2025, 12(3): 2775–2789.（SCI，中科院一区） |
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