Wang Yucheng

Wang Yucheng

ASTAR & NTU

Publications

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

2024

  1. [PDF][[Code]] Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie and 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), accepted, to appear (2024).

2023

  1. [PDF][Code] Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie and Zhenghua Chen*. “Graph Contextual Contrasting for Multivariate Time Series Classification” The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), accepted, to appear (2023).

  2. [PDF][Code] Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie and Zhenghua Chen*. “Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data” The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), accepted, to appear (2023).

  3. [PDF] Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, and 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), accepted, to appear (2023).

2022

  1. [PDF][Code] Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen*, Min Wu, Xiaoli Li and 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 (2022).

  2. [PDF][Code] Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie and 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).

2021

  1. [PDF] 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).

  2. [PDF] 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).

2020

  1. [PDF][Code] 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).

  2. [PDF][Code] 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).

  3. [PDF] 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).