Publications

Relational and Sequential Conformal Inference for Energy Time Series over Graphs via Foundation Models

Graph Signal Separation with Learnable Spectral Filters

Virtual Smart Metering in District Heating Networks via Heterogeneous 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