WANG Yucheng
Scholar

WANG Yucheng

Google Scholar ID: fYdXtSoAAAAJ
Nanyang Technological University, Agency for Science, Technology and Research (A*STAR)
Deep LearningGraph Neural NetworkAI for Manufacturing
Citations & Impact
All-time
Citations
448
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
8
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Sep 2024: Our paper “Local-Global Correlation Fusion based Graph Neural Network for Remaining Useful Life Prediction” has been reported on A*STAR Research Highlights.
  • Aug 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.
  • Dec 2023: Two papers entitled “Graph Contextual Contrasting for Multivariate Time Series Classification” and “Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data” have been accepted by AAAI 2024 (acceptance rate: 23.75%).
  • Oct 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.
  • Jan 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.
  • Nov 2022: One paper entitled “SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation” has been accepted by AAAI 2023 (acceptance rate: 19.6%).
Research Experience
  • Currently a Senior Research Engineer at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (ASTAR), Singapore.
Education
  • Part-time PhD student at Nanyang Technological University (NTU), Singapore, under the supervision of Prof. Xie Lihua and Dr. Chen Zhenghua.
Background
  • Research interests include Graph Neural Network (GNN), Multivariate Time-Series (MTS) Data, Unsupervised Domain Adaptation (UDA).
Miscellany
  • Personal interests and hobbies not mentioned.