Xin Wang

13 papers Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An adaptive fused domain-cycling variational generative adversarial network for machine fault diagnosis under data scarcity. Inf. Fusion Xin Wang, Hongkai Jiang, Tao Zeng, Yutong Dong
2026	J	`jnl`	Spatial-channel collaborative multi-scale graph interaction deep transfer learning for unsupervised rotating machinery fault diagnosis. Eng. Appl. Artif. Intell. Xin Wang, Hongkai Jiang, Yutong Dong, Mingzhe Mu
2025	J	`jnl`	A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis. Reliab. Eng. Syst. Saf. Xin Wang, Hongkai Jiang, Mingzhe Mu, Yutong Dong
2025	J	`jnl`	A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation. Reliab. Eng. Syst. Saf. Zhenning Li, Hongkai Jiang, Xin Wang
2025	J	`jnl`	Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples. Eng. Appl. Artif. Intell. Mingzhe Mu, Hongkai Jiang, Xin Wang, Yutong Dong
2025	J	`jnl`	An interpretable integration fusion time-frequency prototype contrastive learning for machine fault diagnosis with limited labeled samples. Inf. Fusion Yutong Dong, Hongkai Jiang, Xin Wang, Mingzhe Mu
2024	J	`jnl`	A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples. Adv. Eng. Informatics Mingzhe Mu, Hongkai Jiang, Xin Wang, Yutong Dong
2024	J	`jnl`	An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples. Reliab. Eng. Syst. Saf. Yutong Dong, Hongkai Jiang, Xin Wang, Mingzhe Mu, Wenxin Jiang
2024	J	`jnl`	Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis. Adv. Eng. Informatics Yutong Dong, Hongkai Jiang, Mingzhe Mu, Xin Wang
2023	J	`jnl`	A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data. Eng. Appl. Artif. Intell. Xin Wang, Hongkai Jiang, Yunpeng Liu, Shaowei Liu, Qiao Yang
2023	J	`jnl`	Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis. Adv. Eng. Informatics Xin Wang, Hongkai Jiang, Zhenghong Wu, Qiao Yang
2023	—	`conf`	Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network. ICPHM Zhenghong Wu, Hongkai Jiang, Sicheng Zhang, Xin Wang, Haidong Shao, Haoxuan Dou
2022	—	`conf`	Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network. ICPHM Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Ke Zhao, Xin Wang