Pixel to Patch Sampling Structure and Local Neighboring Intensity Relationship Patterns for Texture Classification. - Kai Wang 021; Charles-Edmond Bichot; Chao Zhu 003; Bailin Li (IEEE Signal Process. Lett., 2013)

Local binary circumferential and radial derivative pattern for texture classification. - Kai Wang 021; Charles-Edmond Bichot; Yan Li 028; Bailin Li (Pattern Recognit., 2017)

Multiscale Representations Fusion With Joint Multiple Reconstructions Autoencoder for Intelligent Fault Diagnosis. - Hui Yu 006; Kai Wang 021; Yan Li 028 (IEEE Signal Process. Lett., 2018)

Representation Learning With Class Level Autoencoder for Intelligent Fault Diagnosis. - Hui Yu 006; Kai Wang 021; Yan Li 028; Wu Zhao (IEEE Signal Process. Lett., 2019)

Deep subclass reconstruction network for fault diagnosis of rotating machinery under various operating conditions. - Hui Yu 006; Kai Wang 021; Yan Li 028; Mengfan He (Appl. Soft Comput., 2021)

Domain Invariant Feature Learning Based on Cluster Contrastive Learning for Intelligence Fault Diagnosis With Limited Labeled Data. - Yang Wei; Kai Wang 021 (IEEE Signal Process. Lett., 2023)

Efficient feature transform module. - Ju Li; Yang Wei; Kai Wang 021; Huiyang Xie (Multim. Tools Appl., 2024)

Multi-Domain Time-Frequency Fusion Feature Contrastive Learning for Machinery Fault Diagnosis. - Yang Wei; Kai Wang 021 (IEEE Signal Process. Lett., 2025)