Wang Yucheng
I am currently a Senior Research Engineer at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (ASTAR), Singapore. I am also a part-time PhD student at Nanyang Technological University (NTU), Singapore under the supervision of Prof. Xie Lihua and Dr. Chen Zhenghua.
My research interest includes Graph Neural Network (GNN), Multivariate Time-Series (MTS) Data, Unsupervised Domain Adaptation (UDA).
Recent News
[09/2024] Our paper “Local-Global Correlation Fusion based Graph Neural Network for Remaining Useful Life Prediction” has been reported on A*STAR Research Highlights
[08/2024] One paper entitled “SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation” has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence
[12/2023] Two papers entitled “Graph Contextual Contrasting for Multivariate Time Series Classification” and “Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data” has been accepted by AAAI 2024 (acceptance rate: 23.75%)
[10/2023] One paper entitled “Local-Global Correlation Fusion based Graph Neural Network for Remaining Useful Life Prediction” has been accepted by IEEE Transactions on Neural Networks and Learning Systems
[01/2023] One paper entitled “Multivariate Time Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network” has been accepted by IEEE Transactions on Artificial Intelligence
[11/2022] One paper entitled “SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation” has been accepted by AAAI 2023 (acceptance rate: 19.6%)