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Hao Yan
Hao Yan
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Jiayu Huang

Jiayu Huang

Ph.D., Industrial Engineering, 2025

Research Interest

Develop knowledge-infused learning, deep learning, Bayesian learning models for classification, segmentation on image and signal data for anomaly detection, prediction on signal data, time series, etc.

Interests
  • Deep Learning
  • Bayesian learning framework
  • knowledge-infused learning
Education
  • Ph.D student. in Industrial Engineering

    Arizona State University

  • M.S. in Industrial Economics

    East China Normal University

Latest

  • Aleatoric-Aware Posterior Regularized Bayesian Neural Networks for Incorporating Domain Knowledge: Addressing Epistemic and Aleatoric Uncertainties
  • Bayesian Entropy Neural Networks for physics-aware prediction
  • Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems
  • Image-based novel fault detection with deep learning classifiers using hierarchical labels
  • Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation
  • Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
  • Combining Anatomical Constraints and Deep Learning for 3-D CBCT Dental Image Multi-Label Segmentation
  • Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection

© 2026 Hao Yan. This work is licensed under CC BY NC ND 4.0

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