Software

Bayesian entropy neural networks for physics-aware prediction in engineering systems.

A unified, threshold-free differentiable convex-shape prior based on quasi-concavity of the segmentation mask function. Zero-, first-, and second-order characterizations yield a midpoint convexification algorithm and compact convolutional losses that integrate seamlessly with modern segmentation networks via the proposed Convex Gradient Projection Module (CGPM). Accepted to CVPR 2026 as a Highlight.

Flow-matching distributional RL with source-consistent Bellman-coupled paths and shared-noise coupling between current and successor return flows. A lambda-parameterized control variate reduces bootstrap variance while preserving Gaussian source and Bellman endpoint geometry. Strong distributional fidelity on toy MRPs and competitive offline RL on 38 OGBench and D4RL tasks. Accepted to ICML 2026 as a regular presentation.

Below is the full list of publications with Hao Yan as author or co-author, grouped by year (synced from HaoYan.bib). For grants, awards, and service, see the curriculum vitae PDF alongside my faculty page.

Learning-enabled autonomous risk assessment for hydrogen pipeline networks

A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data

Bayesian Optimization for Reactor Design Optimization

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration

Hierarchical multilabel models for fine-level event extraction from aviation accident reports.