Yucheng Wang

According to our database, Yucheng Wang authored at least 27 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MSA-CNN: A lightweight multi-scale CNN with attention for sleep stage classification.

Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Fei He, Min Wu

Biomed. Signal Process. Control., 2026

A Unified Shape-Aware Foundation Model for Time Series Classification.

Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends.

Yucheng Wang, Mohamed Ragab, Yubo Hou, Zhenghua Chen, Min Wu, Xiaoli Li

CoRR, October, 2025

Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment.

Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu

CoRR, August, 2025

MDE: Modality Discrimination Enhancement for Multi-modal Recommendation.

Hang Zhou, Yucheng Wang, Huijing Zhan

CoRR, February, 2025

Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction.

Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation.

Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen

IEEE Trans. Instrum. Meas., 2025

ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition.

Dongyuan Tian, Yucheng Wang, Peiliang Gong, Zhewen Xu, Zhenghua Chen, Xiaohui Wei, Min Wu

Neural Networks, 2025

MVRBind: multi-view learning for RNA-small molecule binding site prediction.

Song Chen, Zhijian Huang, Yucheng Wang, Yahan Li, Yaw Sing Tan, Lei Deng, Min Wu

Briefings Bioinform., 2025

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation.

Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

ASRSMA: Atomic-Scale and Structure-Based Modeling for RNA-Small Molecule Binding Affinity Prediction via Contrastive Pretraining.

Yahan Li, Zhijian Huang, Song Chen, Yucheng Wang, Min Wu, Lei Deng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network.

Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

IEEE Trans. Artif. Intell., January, 2024

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation.

Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2024

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends.

Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2024

K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data.

Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2024

DeepRSMA: a cross-fusion-based deep learning method for RNA-small molecule binding affinity prediction.

Zhijian Huang, Yucheng Wang, Song Chen, Yaw Sing Tan, Lei Deng, Min Wu

Bioinform., 2024

Graph-Aware Contrasting for Multivariate Time-Series Classification.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2023

Graph Contextual Contrasting for Multivariate Time Series Classification.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2023

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.

Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Graph Guided Convolutional Neural Network for Surface Defect Recognition.

Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li

IEEE Trans Autom. Sci. Eng., 2022

2021

A New Graph-Based Method for Class Imbalance in Surface Defect Recognition.

Yucheng Wang, Liang Gao, Xinyu Li, Yiping Gao, Xiaotong Xie

IEEE Trans. Instrum. Meas., 2021

A new graph-based semi-supervised method for surface defect classification.

Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li

Robotics Comput. Integr. Manuf., 2021

A new Feature-Fusion method based on training dataset prototype for surface defect recognition.

Yucheng Wang, Xinyu Li, Yiping Gao, Lijian Wang, Liang Gao

Adv. Eng. Informatics, 2021

2020

Knowledge Graph-guided Convolutional Neural Network for Surface Defect Recognition.

Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li, Lili Gao

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020