Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis. - Jinghui Tian; Dongying Han; Lifeng Xiao; Peiming Shi (J. Intell. Fuzzy Syst., 2021)

A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis. - Jinghui Tian; Dongying Han; Mengdi Li; Peiming Shi (Knowl. Based Syst., 2022)

Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis. - Yu Zhang; Dongying Han; Jinghui Tian; Peiming Shi (Knowl. Based Syst., 2023)

Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis. - Jinghui Tian; Dongying Han; Hamid Reza Karimi; Yu Zhang; Peiming Shi (Neural Networks, 2023)

A 28-nm RRAM Computing-in-Memory Macro Using Weighted Hybrid 2T1R Cell Array and Reference Subtracting Sense Amplifier for AI Edge Inference. - Wang Ye; Linfang Wang; Zhidao Zhou; Junjie An; Weizeng Li; Hanghang Gao; Zhi Li 062; Jinshan Yue; Hongyang Hu; Xiaoxin Xu; Jianguo Yang; Jing Liu 035; et al. (IEEE J. Solid State Circuits, 2023)

Multi-source heterogeneous information fusion fault diagnosis method based on deep neural networks under limited datasets. - Dongying Han; Yu Zhang; Yue Yu; Jinghui Tian; Peiming Shi (Appl. Soft Comput., 2024)

A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data. - Jinghui Tian; Dongying Han; Hamid Reza Karimi; Yu Zhang; Peiming Shi (Neural Networks, 2024)

Write-Verify-Free MLC RRAM Using Nonbinary Encoding for AI Weight Storage at the Edge. - Junjie An; Zhidao Zhou; Linfang Wang; Wang Ye; Weizeng Li; Hanghang Gao; Zhi Li 062; Jinghui Tian; Yan Wang; Hongyang Hu; Jinshan Yue; Lingyan Fan; et al. (IEEE Trans. Very Large Scale Integr. Syst., 2024)