Application of PSO-LSTM for Forecasting of Ship Traffic Flow. - Haoxuan Zhou; Yi Zuo; Tieshan Li; Shanshan Li (SPAC, 2021)

Memory Residual Regression Autoencoder for Bearing Fault Detection. - Xin Huang 014; Guangrui Wen; Shuzhi Dong; Haoxuan Zhou; Zihao Lei; Zhifen Zhang; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions. - Zihao Lei; Guangrui Wen; Shuzhi Dong; Xin Huang 014; Haoxuan Zhou; Zhifen Zhang; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

Construction of health indicators for condition monitoring of rotating machinery: A review of the research. - Haoxuan Zhou; Xin Huang 014; Guangrui Wen; Zihao Lei; Shuzhi Dong; Ping Zhang; Xuefeng Chen 002 (Expert Syst. Appl., 2022)

A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery. - Ziling Huang; Zihao Lei; Guangrui Wen; Xin Huang 014; Haoxuan Zhou; Ruqiang Yan 001; Xuefeng Chen 002 (IEEE Trans. Ind. Electron., 2022)

Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications. - Hanbo Zhang; Jiangxin Li; Shen Liang; Peng Wang 027; Themis Palpanas; Chen Wang 018; Wei Wang 009; Haoxuan Zhou; Jianwei Song; Wen Lu (KDD, 2023)

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. - Xinkai Song; Yuanbo Wen; Xing Hu 001; Tianbo Liu 006; Haoxuan Zhou; Husheng Han; Tian Zhi; Zidong Du; Wei Li 008; Rui Zhang 040; Chen Zhang 001; Lin Gao 004; et al. (MICRO, 2023)

Hybrid system response model for condition monitoring of bearings under time-varying operating conditions. - Haoxuan Zhou; Bingsen Wang; Enrico Zio; Guangrui Wen; Zimin Liu; Yu Su; Xuefeng Chen 002 (Reliab. Eng. Syst. Saf., 2023)

Bearing performance degradation assessment using adversarial fusion convolutional autoencoder based on multi-source information. - Enxiu Wang; Haoxuan Zhou; Guangrui Wen; Ziling Huang; Zimin Liu; Xuefeng Chen 002 (Trans. Inst. Meas. Control, 2024)

Unsupervised anomaly detection of machines operating under time-varying conditions: DCD-VAE enabled feature disentanglement of operating conditions and states. - Haoxuan Zhou; Bingsen Wang; Enrico Zio; Zihao Lei; Guangrui Wen; Xuefeng Chen 002 (Reliab. Eng. Syst. Saf., 2025)

Koopman-Informed Neural Network for Machinery's Nonlinear Dynamics Learning and Remaining Useful Life Prediction. - Enxiu Wang; Haoxuan Zhou; Guangrui Wen; Zimin Liu; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2025)