An Application Demand aware Scheduling Algorithm in Heterogeneous Environment. - Jie Lin; Hui Liu; Chaoying Yang; Yuhui Tian (CSCWD, 2007)

Noncoherent Multiple-Symbol Detection in Coded Ultra-wideband Communications. - Yuhui Tian; Chaoying Yang (IEEE Trans. Wirel. Commun., 2008)

Design Knowledge and Process Management Method Based on 3D CAD System. - Shan-hui Zhang; Chaoying Yang; Steffen Thomas (J. Digit. Inf. Manag., 2014)

A Guiding Design System for Pressure Vessels based on 3D CAD. - Shan-hui Zhang; Chaoying Yang; Xu Ning (Int. J. Online Eng., 2016)

Transferable graph features-driven cross-domain rotating machinery fault diagnosis. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Ming-Feng Ge; Xingxing Jiang (Knowl. Based Syst., 2022)

SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis. - Chaoying Yang; Kaibo Zhou; Jie Liu 017 (IEEE Trans. Ind. Electron., 2022)

Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis. - Kaibo Zhou; Chaoying Yang; Jie Liu 017; Qi Xu (IEEE Trans. Ind. Electron., 2022)

A Node-Level PathGraph-Based Bearing Remaining Useful Life Prediction Method. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xingxing Jiang; Ming-Feng Ge; Yiben Liu (IEEE Trans. Instrum. Meas., 2022)

Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis. - Mengliang Zhu; Xiangyu Zeng; Jie Liu 017; Chaoying Yang; Kaibo Zhou (IEEE Trans. Instrum. Meas., 2023)

Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data. - Kaibo Zhou; Chaoying Yang; Jie Liu 017; Qi Xu (J. Intell. Manuf., 2023)

A meta-path graph-based graph homogenization framework for machine fault diagnosis. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xiaohui Yuan; Xingxing Jiang (Eng. Appl. Artif. Intell., 2023)

Semisupervised Machine Fault Diagnosis Fusing Unsupervised Graph Contrastive Learning. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xingxing Jiang (IEEE Trans. Ind. Informatics, 2023)

Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation. - Chaoying Yang; Jie Liu 017; Kaibo Zhou; Xinyu Li (J. Intell. Manuf., 2024)

A Generalized Graph Contrastive Learning Framework for Few-Shot Machine Fault Diagnosis. - Chaoying Yang; Jie Liu 017; Qi Xu; Kaibo Zhou (IEEE Trans. Ind. Informatics, 2024)

Dynamic Graph-Driven Rotating Machine Fault Diagnosis: An Adaptively Updating Cross-Domain Relationship Information. - Chaoying Yang; Jie Liu 017; Youmin Hu; Bo Wu 006; Tielin Shi (IEEE Trans. Ind. Informatics, 2024)

Ultra-Short-Term Probabilistic Forecasting of Regional PV Power Based on Fluctuation Pattern Recognition and Cloud Image Feature Extraction. - Qinggui Chen; Haonan Dai; Fei Wang; Jun Zhao; Chaoying Yang; Zhao Zhen (IAS, 2025)

A Fast Graph Construction-Driven Rotating Machine Fault Diagnosis Method Using Edge Predictor. - Chaoying Yang; Jie Liu 017; Yue Wang; Shuangye Yang; Tielin Shi (IEEE Trans. Neural Networks Learn. Syst., 2025)