1 citations · 1 across the 6 of their papers we have counts for
7 papers
A novel fault localization with data refinement for hydroelectric units
Jialong Huang, Junlin Song, Penglong Lian +7
Due to the scarcity of fault samples and the complexity of non-linear and non-smooth characteristics data in hydroelectric units, most of the traditional hydroelectric unit fault l…
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry
Mengjie Gan, Penglong Lian, Zhiheng Su +5
Industrial equipment fault diagnosis often encounter challenges such as the scarcity of fault data, complex operating conditions, and varied types of failures. Signal analysis, dat…
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Di Wu, Shicai Fan, Xue Zhou +4
Reconstruction-based methods have been commonly used for unsupervised anomaly detection, in which a normal image is reconstructed and compared with the given test image to detect a…
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation
Baihong Lin, Zengrong Lin, Yulan Guo +3
RGB-T semantic segmentation has been widely adopted to handle hard scenes with poor lighting conditions by fusing different modality features of RGB and thermal images. Existing me…
Supervised Contrastive Learning for Recommendation
Chun Yang
In this work, we aim to consider the application of contrastive learning in the scenario of the recommendation system adequately, making it more suitable for recommendation task. W…
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis
Chun Yang
Considering the models that apply the contextual information of time-series data could improve the fault diagnosis performance, some neural network structures such as RNN, LSTM, an…