Nonuniform sampling theorems for random signals in the offset linear canonical transform domain. - Yi-Ping Bao; Yan-Na Zhang 001; Yu-E. Song; Bing-Zhao Li 001; Pei Dang (APSIPA, 2017)

Generalized Uncertainty Principles for the Two-Sided Quaternion Linear Canonical Transform. - Yan-Na Zhang 001; Bing-Zhao Li 001 (ICASSP, 2018)

ϕ-linear canonical analytic signals. - Yan-Na Zhang 001; Bing-Zhao Li 001 (Signal Process., 2018)

Quantitative SNR analysis of QFM signals in the LPFT domain with Gaussian windows. - Yan-Na Zhang 001; Bing-Zhao Li 001; Navdeep Goel; Salvador Gabarda (Sci. China Inf. Sci., 2019)

Object-First Incremental Algorithms for Updating Approximations in Multi-Granulation Fuzzy Probabilistic Rough Sets Over Two Universes. - Zhanao Xue; Haodong Hou; Bingxin Sun; Yongxiang Li; Yanna Zhang 001 (IEEE Access, 2021)

Three-Way Decision Models Based on Multi-granulation Rough Intuitionistic Hesitant Fuzzy Sets. - Zhanao Xue; Bingxin Sun; Haodong Hou; Wenli Pang; Yanna Zhang 001 (Cogn. Comput., 2022)

Novel windowed linear canonical transform: Definition, properties and application. - Yanna Zhang 001; Yong Guo; Wentao Mao (Digit. Signal Process., 2022)

Self-Supervised Deep Tensor Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction Across Machines. - Wentao Mao; Keying Liu; Yanna Zhang 001; Xihui Liang; Zhijian Wang 001 (IEEE Trans. Instrum. Meas., 2023)

SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning. - Wentao Mao; Yu Wang 259; Ke Feng; Linlin Kou; Yanna Zhang 001 (IEEE Trans. Instrum. Meas., 2024)

Harmony better than uniformity: A new pre-training anomaly detection method with tensor domain adaptation for early fault evaluation. - Wentao Mao; Zongtao Chen; Yanna Zhang 001; Zhidan Zhong (Eng. Appl. Artif. Intell., 2024)

A Novel Few-Shot Deep Transfer Learning Method for Anomaly Detection: Deep Domain-Adversarial Contrastive Network With Time-Frequency Transferability Analytics. - Jianing Wu; Wentao Mao; Yanna Zhang 001; Lilin Fan; Zhidan Zhong (IEEE Internet Things J., 2024)