Wang Yucheng

Wang Yucheng

ASTAR & NTU

Publications

You can also find my articles on my Google Scholar profile.

2026

  1. [J.16] Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen. Gaussian Adaptive Patching Powered Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2026.

  2. [J.15] Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen. Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2026.

  3. [C.9] Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma. A Unified Shape-Aware Foundation Model for Time Series Classification. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26), accepted, to appear.

2025

  1. [C.8] Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang. Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation. ACM KDD 2025, accepted, to appear.

  2. [C.7] Yahan Li, Zhijiang Huang, Song Chen, Yucheng Wang, Min Wu, Lei Deng. ASRSMA: Atomic-scale and Structure-based Modeling for RNA–small Molecule Binding Affinity Prediction via Contrastive Pretraining. International Conference on Bioinformatics and Biomedicine (BIBM) 2025, accepted, to appear.

  3. [C.6] Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Min Wu, Fei He. Retrieving Filter Spectra in CNN for Explainable Sleep Stage Classification. IEEE Signal Processing in Medicine and Biology (SPMB), accepted, to appear.

  4. [C.5] Hang Zhou, Yucheng Wang, Huijing Zhan. MDE: Modality Discrimination Enhancement for Multi-modal Recommendation. 2025 IEEE International Symposium on Circuits and Systems (IEEE ISCAS), accepted, to appear.

  5. [J.14] Song Chen, Zhijian Huang, Yucheng Wang, Yahan Li, Yaw Sing Tan, Lei Deng, Min Wu. MVRBind: Multi-view Learning for RNA-Small Molecule Binding Site Prediction. Briefings in Bioinformatics, 2025, accepted, to appear.

  6. [J.13] Yucheng Wang, Mohamed Ragab, Yubo Hou, Zhenghua Chen, Min Wu, Xiaoli Li. Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. IEEE/CAA Journal of Automatica Sinica, 2025, accepted, to appear.

  7. [J.12] Dongyuan Tian, Yucheng Wang, Peiliang Gong, Zhewen Xu, Zhenghua Chen, Xiaohui Wei, Min Wu. ACCNet: Adaptive Cross-frequency Coupling Graph Attention for EEG Emotion Recognition. Neural Networks, vol. 191, pp. 107853, 2025, doi: 10.1016/j.neunet.2025.107853.

  8. [J.11] Yubo Hou, Yucheng Wang, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Zhenghua Chen. Source-free Calibrated Uncertainty for RUL Adaptation with Incomplete Degradation. Mechanical Systems and Signal Processing, 2025, accepted, to appear.

  9. [J.10] Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Zhenghua Chen. Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation. IEEE Transactions on Instrumentation and Measurement, 2025, accepted, to appear.

  10. [J.9] Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen. A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. Mechanical Systems and Signal Processing, 2025, accepted, to appear. (ESI Highly Cited Paper)

  11. [J.6] Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen. Local-Global Correlation Fusion based Graph Neural Network for Remaining Useful Life Prediction. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 36, no. 1, pp. 753-766, Jan. 2025, doi: 10.1109/TNNLS.2023.3330487. (ESI Highly Cited Paper)

2024

  1. [J.8] Zhijian Huang, Yucheng Wang, Song Chen, Yaw Sing Tan, Lei Deng, Min Wu. DeepRSMA: a cross-fusion based deep learning method for RNA-small molecule binding affinity prediction. Bioinformatics, Volume 40, Issue 12, December 2024, btae678.

  2. [J.7] Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen. SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 12, pp. 10781-10796, Dec. 2024, doi: 10.1109/TPAMI.2024.3444904.

  3. [C.4] Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen. Graph Contextual Contrasting for Multivariate Time Series Classification. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), 38(14), 15725-15734, 2024, doi: 10.1609/aaai.v38i14.29501.

  4. [C.3] Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen. Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), 38(14), 15715-15724, 2024, doi: 10.1609/aaai.v38i14.29500.

2023

  1. [C.2] Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie. SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. The 37th Annual AAAI Conference on Artificial Intelligence (AAAI-23), 37(8), 10253-10261, 2023, doi: 10.1609/aaai.v37i8.26221.

2022

  1. [J.5] Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen. Multivariate Time Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. IEEE Transactions on Artificial Intelligence (IEEE TAI), vol. 5, no. 1, pp. 321-333, 2022, doi: 10.1109/TAI.2023.3241896.

2021

  1. [J.4] Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li. A Graph Guided Convolutional Neural Network for Surface Defect Recognition. IEEE Transactions on Automation Science and Engineering (IEEE TASE), vol. 19, no. 3, pp. 1392-1404, 2021, doi: 10.1109/TASE.2022.3140784.

  2. [J.3] Yucheng Wang, Xinyu Li, Yiping Gao, Lijian Wang, Liang Gao. A new Feature-Fusion Method based on Training Dataset Prototype for Surface Defect Recognition. Advanced Engineering Informatics (ADVEI), vol. 50, pp. 101392, 2021, doi: 10.1016/j.aei.2021.101392.

2020

  1. [J.2] Yucheng Wang, Liang Gao, Xinyu Li, Yiping Gao, Xiaotong Xie. A New Graph-Based Method for Class Imbalance in Surface Defect Recognition. IEEE Transactions on Instrumentation and Measurement (IEEE TIM), vol. 70, pp. 1-16, 2020, doi: 10.1109/TIM.2021.3063755.

  2. [J.1] Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li. A new Graph-based Semi-supervised Method for Surface Defect Classification. Robotics and Computer-Integrated Manufacturing (RCIM), vol. 68, pp. 102083, 2020, doi: 10.1016/j.rcim.2020.102083.

  3. [C.1] Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li, Lili Gao. Knowledge Graph-guided Convolutional Neural Network for Surface Defect Recognition. 16th International Conference on Automation Science and Engineering (IEEE CASE), pp. 594-599, 2020, doi: 10.1109/CASE48305.2020.9216752.