Software

Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling
Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling
MOOSE ProbML: Parallelized probabilistic machine learning and uncertainty quantification for computational energy applications
Parallelized probabilistic ML and UQ for computational energy applications (MOOSE ProbML).
Project DOI
Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems
IEEE CASE 2025 Best Conference Paper Award.
Project
Oral-anatomical knowledge-informed semi-supervised learning for 3D dental CBCT segmentation and lesion detection
Oral-anatomical knowledge-informed semi-supervised learning for 3D dental CBCT segmentation and lesion detection
Partially observable Markov decision process framework for operating condition optimization using real-time degradation signals
Partially observable Markov decision process framework for operating condition optimization using real-time degradation signals
Personalized tucker decomposition: Modeling commonality and peculiarity on tensor data
Personalized Tucker decomposition modeling commonality and peculiarity on tensor data.
Probabilistic Kolmogorov-Arnold Networks via sparsified deep Gaussian processes with additive kernels
Probabilistic Kolmogorov-Arnold Networks via sparsified deep Gaussian processes with additive kernels
Image-based novel fault detection with deep learning classifiers using hierarchical labels
Novel fault detection in images with hierarchical deep learning labels.
Project
Leveraging pretrained transformers for efficient segmentation and lesion detection in cone-beam computed tomography scans
Leveraging pretrained transformers for efficient segmentation and lesion detection in cone-beam computed tomography scans
Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information
PV generation forecasting by fusing multi-source information with dynamic Bayesian networks.
Project DOI