Publications

In-Context Residual Calibration for Uncertainty Quantification of Energy Time Series over Graphs

Graph Signal Separation with Learnable Spectral Filters

Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks

Sensor Fault Detection via Virtual Smart Heat Metering with Spatial-Temporal Graph Neural Networks

From Physics to Machine Learning and Back: Part II—Learning and Observational Bias in Prognostics and Health Management (PHM)

From Physics to Machine Learning and Back: Part I—Learning with Inductive Biases in Prognostics and Health Management (PHM)

Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring

RINS-T: Robust Implicit Neural Solvers for Time-Series Linear Inverse Problems

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion

Informed Graph Learning by Domain Knowledge Injection and Smooth Graph Signal Representation

Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things

Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems

Robust Hyperspectral Inpainting via Low-Rank Regularized Untrained Convolutional Neural Network

Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution