Knowledge Graph-guided Convolutional Neural Network for Surface Defect Recognition. - Yucheng Wang 001; Liang Gao 001; Yiping Gao; Xinyu Li 001; Lili Gao (CASE, 2020)

A new Feature-Fusion method based on training dataset prototype for surface defect recognition. - Yucheng Wang 001; Xinyu Li 001; Yiping Gao; Lijian Wang; Liang Gao 001 (Adv. Eng. Informatics, 2021)

A new graph-based semi-supervised method for surface defect classification. - Yucheng Wang 001; Liang Gao 001; Yiping Gao; Xinyu Li 001 (Robotics Comput. Integr. Manuf., 2021)

A New Graph-Based Method for Class Imbalance in Surface Defect Recognition. - Yucheng Wang 001; Liang Gao 001; Xinyu Li 001; Yiping Gao; Xiaotong Xie (IEEE Trans. Instrum. Meas., 2021)

A Graph Guided Convolutional Neural Network for Surface Defect Recognition. - Yucheng Wang 001; Liang Gao 001; Yiping Gao; Xinyu Li 001 (IEEE Trans Autom. Sci. Eng., 2022)

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Zhenghua Chen; Min Wu 008; Xiaoli Li 001; Lihua Xie 001 (AAAI, 2023)

Graph Contextual Contrasting for Multivariate Time Series Classification. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2023)

SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2023)

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (AAAI, 2024)

Graph-Aware Contrasting for Multivariate Time-Series Classification. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (AAAI, 2024)

K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. - Yucheng Wang 001; Ruibing Jin; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. - Yucheng Wang 001; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation. - Yucheng Wang 001; Peiliang Gong; Min Wu 008; Felix Ott 001; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. - Yucheng Wang 001; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. - Yucheng Wang 001; Yuecong Xu; Jianfei Yang; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition. - Dongyuan Tian; Yucheng Wang 001; Peiliang Gong; Zhewen Xu; Zhenghua Chen; Xiaohui Wei; Min Wu 008 (Neural Networks, 2025)

Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. - Yubo Hou; Mohamed Ragab 002; Yucheng Wang 001; Min Wu 008; Abdulla Alseiari; Chee Keong Kwoh 001; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2025)

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification. - Stephan Goerttler; Yucheng Wang 001; Emadeldeen Eldele; Min Wu 008; Fei He 002 (CoRR, 2025)

Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. - Yucheng Wang 001; Min Wu 008; Ruibing Jin; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation. - Peiliang Gong; Yucheng Wang 001; Min Wu 008; Zhenghua Chen; Xiaoli Li 001; Daoqiang Zhang (CoRR, 2025)