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ORCIDYucheng Wang 0001
Person information
- affiliation: Nanyang Technological University, Jurong West, Singapore
Other persons with the same name
- Yucheng Wang — disambiguation page
- Yucheng Wang 0002 — Qingdao Marine Science and Technology Center, Qingdao, China
- Yucheng Wang 0003
![[0000-0003-0129-789X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-0129-789X")
— ByteDance, China
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2020 – today
- 2026
[j12]Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Fei He, Min Wu:
MSA-CNN: A lightweight multi-scale CNN with attention for sleep stage classification. Biomed. Signal Process. Control. 120: 110141 (2026)- [c7]Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma:
A Unified Shape-Aware Foundation Model for Time Series Classification. AAAI 2026: 23972-23980 - [i13]Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma:
A Unified Shape-Aware Foundation Model for Time Series Classification. CoRR abs/2601.06429 (2026) - [i12]Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen:
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation. CoRR abs/2603.15687 (2026) - 2025
- [j11]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 Bioinform. 26(5) (2025) - [j10]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 191: 107853 (2025) - [j9]Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen:
Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. IEEE Trans. Instrum. Meas. 74: 1-11 (2025) - [j8]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 Trans. Neural Networks Learn. Syst. 36(1): 753-766 (2025) - [c6]Yahan Li, Zhijian 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. BIBM 2025: 154-157 - [c5]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. KDD (2) 2025: 685-696 - [i11]Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Min Wu, Fei He:
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification. CoRR abs/2501.02949 (2025) - [i10]Hang Zhou, Yucheng Wang, Huijing Zhan:
MDE: Modality Discrimination Enhancement for Multi-modal Recommendation. CoRR abs/2502.18481 (2025) - [i9]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. CoRR abs/2505.21525 (2025) - [i8]Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu:
Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment. CoRR abs/2508.07195 (2025) - [i7]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. CoRR abs/2510.03604 (2025) - 2024
- [j7]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. Bioinform. 40(12) (2024) - [j6]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10781-10796 (2024) - [j5]Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. IEEE Trans. Artif. Intell. 5(1): 321-333 (2024) - [c4]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. AAAI 2024: 15715-15724 - [c3]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph-Aware Contrasting for Multivariate Time-Series Classification. AAAI 2024: 15725-15734 - [i6]Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. CoRR abs/2403.03645 (2024) - [i5]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. CoRR abs/2409.19629 (2024) - [i4]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. CoRR abs/2409.19635 (2024) - 2023
- [c2]Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie:
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. AAAI 2023: 10253-10261 - [i3]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph Contextual Contrasting for Multivariate Time Series Classification. CoRR abs/2309.05202 (2023) - [i2]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data. CoRR abs/2309.05305 (2023) - [i1]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. CoRR abs/2311.10806 (2023) - 2022
- [j4]Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li:
A Graph Guided Convolutional Neural Network for Surface Defect Recognition. IEEE Trans Autom. Sci. Eng. 19(3): 1392-1404 (2022) - 2021
- [j3]Yucheng Wang, Xinyu Li, Yiping Gao, Lijian Wang, Liang Gao:
A new Feature-Fusion method based on training dataset prototype for surface defect recognition. Adv. Eng. Informatics 50: 101392 (2021) - [j2]Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li:
A new graph-based semi-supervised method for surface defect classification. Robotics Comput. Integr. Manuf. 68: 102083 (2021) - [j1]Yucheng Wang, Liang Gao, Xinyu Li, Yiping Gao, Xiaotong Xie:
A New Graph-Based Method for Class Imbalance in Surface Defect Recognition. IEEE Trans. Instrum. Meas. 70: 1-16 (2021) - 2020
- [c1]Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li, Lili Gao:
Knowledge Graph-guided Convolutional Neural Network for Surface Defect Recognition. CASE 2020: 594-599
Coauthor Index
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