Article-Journal

Bayesian Entropy Neural Networks for physics-aware prediction
Bayesian entropy neural networks for physics-aware prediction in engineering systems.
Project DOI
Bayesian Optimization for Reactor Design Optimization
Bayesian Optimization for Reactor Design Optimization
Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration
Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration
Hierarchical Multilabel Classification for Fine-Level Event Extraction from Aviation Accident Reports
Hierarchical multilabel models for fine-level event extraction from aviation accident reports.
Project
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
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.
Image-based novel fault detection with deep learning classifiers using hierarchical labels
Novel fault detection in images with hierarchical deep learning labels.
Project