Duo Xu

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models

The Astrophysical Journal

Jan 2025

journal-article

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models

The Astrophysical Journal

Jan 2025

journal-article

First Search for Pulsed CH Maser Emission Stimulated by a Pulsar

Research in Astronomy and Astrophysics

Jan 2025

journal-article

First Search for Pulsed CH Maser Emission Stimulated by a Pulsar

arXiv e-prints

Jan 2025

working-paper

First Search for Pulsed CH Maser Emission Stimulated by a Pulsar

Research in Astronomy and Astrophysics

Jan 2025

journal-article

Equation vs. AI: Predict Density and Measure Width of molecular clouds by Multiscale Decomposition

arXiv e-prints

Jan 2025

working-paper

Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions

arXiv e-prints

Jan 2025

working-paper

Surveying image segmentation approaches in astronomy

Astronomy and Computing

Jan 2024

journal-article

Surveying image segmentation approaches in astronomy

Astronomy and Computing

Jan 2024

journal-article

Surveying Image Segmentation Approaches in Astronomy

arXiv e-prints

Jan 2024

working-paper

Disk Wind Feedback from High-mass Protostars. III. Synthetic CO Line Emission

The Astrophysical Journal

Jan 2024

journal-article

Disk Wind Feedback from High-mass Protostars. III. Synthetic CO Line Emission

The Astrophysical Journal

Jan 2024

journal-article

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the Role of Magnetic Fields in the Massive Infrared Dark Cloud G28.37+0.07

The Astrophysical Journal

Jan 2024

journal-article

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the role of magnetic fields in the massive infrared dark cloud G28.37+0.07

arXiv e-prints

Jan 2024

working-paper

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models

arXiv e-prints

Jan 2024

working-paper

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the Role of Magnetic Fields in the Massive Infrared Dark Cloud G28.37+0.07

The Astrophysical Journal

Jan 2024

journal-article

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

The Astrophysical Journal

Jan 2023

journal-article

Predicting the Radiation Field of Molecular Clouds Using Denoising Diffusion Probabilistic Models

The Astrophysical Journal

Jan 2023

journal-article

Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic Models

arXiv e-prints

Jan 2023

working-paper

Predicting the Radiation Field of Molecular Clouds Using Denoising Diffusion Probabilistic Models

The Astrophysical Journal

Jan 2023

journal-article

CMR Exploration. II. Filament Identification with Machine Learning

The Astrophysical Journal

Jan 2023

journal-article

CMR Exploration. II. Filament Identification with Machine Learning

The Astrophysical Journal

Jan 2023

journal-article

GMC Collisions As Triggers of Star Formation. IX. Chemical Evolution

arXiv e-prints

Jan 2023

working-paper

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

The Astrophysical Journal

Jan 2023

journal-article

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

arXiv e-prints

Jan 2023

working-paper

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

arXiv e-prints

Jan 2023

working-paper

CMR Exploration. I. Filament Structure with Synthetic Observations

The Astrophysical Journal Supplement Series

Jan 2023

journal-article

Application of Convolutional Neural Networks to Predict Magnetic Fields' Directions in Turbulent Clouds

The Astrophysical Journal

Jan 2023

journal-article

Application of Convolutional Neural Networks to Predict Magnetic Fields’ Directions in Turbulent Clouds

The Astrophysical Journal

Jan 2023

journal-article

A Census of Outflow to Magnetic Field Orientations in Nearby Molecular Clouds

The Astrophysical Journal

Jan 2022

journal-article

A Census of Protostellar Outflows in Nearby Molecular Clouds

The Astrophysical Journal

Jan 2022

journal-article

A Census of Protostellar Outflows in Nearby Molecular Clouds

The Astrophysical Journal

Jan 2022

journal-article

A Census of Outflow to Magnetic Field Orientations in Nearby Molecular Clouds

The Astrophysical Journal

Jan 2022

journal-article

PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media

Advances in Water Resources

Jan 2020

journal-article

Application of Convolutional Neural Networks to Identify Stellar Feedback Bubbles in CO Emission

The Astrophysical Journal

Jan 2020

journal-article

Application of Convolutional Neural Networks to Identify Protostellar Outflows in CO Emission

The Astrophysical Journal

Jan 2020

journal-article

Application of Convolutional Neural Networks to Identify Protostellar Outflows in CO Emission

The Astrophysical Journal

Jan 2020

journal-article

Numerical Simulation and Completeness Survey of Bubbles in the Taurus and Perseus Molecular Clouds

The Astrophysical Journal

Jan 2019

journal-article

CASI: A Convolutional Neural Network Approach for Shell Identification

The Astrophysical Journal

Jan 2019

journal-article

The Milky Way Project second data release: bubbles and bow shocks

Monthly Notices of the Royal Astronomical Society

Jan 2019

journal-article

Where is OH and Does It Trace the Dark Molecular Gas (DMG)?

Jan 2018

journal-article

Assessing the Performance of a Machine Learning Algorithm in Identifying Bubbles in Dust Emission

Jan 2017

journal-article

CH as a Molecular Gas Tracer and C-shock Tracer Across a Molecular Cloud Boundary in Taurus

Jan 2016

journal-article

Evolution of OH and CO-Dark Molecular Gas Fraction across a Molecular Cloud Boundary in Taurus

Jan 2016

journal-article

Quantifying Dark Gas

Jan 2015

journal-article

Outflows and Bubbles in Taurus: Star-formation Feedback Sufficient to Maintain Turbulence

Jan 2015

journal-article

Duo Xu

Work

University of Toronto

University of Virginia

Publications

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models

First Search for Pulsed CH Maser Emission Stimulated by a Pulsar

First Search for Pulsed CH Maser Emission Stimulated by a Pulsar

First Search for Pulsed CH Maser Emission Stimulated by a Pulsar

Equation vs. AI: Predict Density and Measure Width of molecular clouds by Multiscale Decomposition

Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions

Surveying image segmentation approaches in astronomy

Surveying image segmentation approaches in astronomy

Surveying Image Segmentation Approaches in Astronomy

Disk Wind Feedback from High-mass Protostars. III. Synthetic CO Line Emission

Disk Wind Feedback from High-mass Protostars. III. Synthetic CO Line Emission

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the Role of Magnetic Fields in the Massive Infrared Dark Cloud G28.37+0.07

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the role of magnetic fields in the massive infrared dark cloud G28.37+0.07

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models

Polarized Light from Massive Protoclusters (POLIMAP). I. Dissecting the Role of Magnetic Fields in the Massive Infrared Dark Cloud G28.37+0.07

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

Predicting the Radiation Field of Molecular Clouds Using Denoising Diffusion Probabilistic Models

Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic Models

Predicting the Radiation Field of Molecular Clouds Using Denoising Diffusion Probabilistic Models

CMR Exploration. II. Filament Identification with Machine Learning

CMR Exploration. II. Filament Identification with Machine Learning

GMC Collisions As Triggers of Star Formation. IX. Chemical Evolution

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

CMR Exploration. I. Filament Structure with Synthetic Observations

Application of Convolutional Neural Networks to Predict Magnetic Fields' Directions in Turbulent Clouds

Application of Convolutional Neural Networks to Predict Magnetic Fields’ Directions in Turbulent Clouds

A Census of Outflow to Magnetic Field Orientations in Nearby Molecular Clouds

A Census of Protostellar Outflows in Nearby Molecular Clouds

A Census of Protostellar Outflows in Nearby Molecular Clouds

A Census of Outflow to Magnetic Field Orientations in Nearby Molecular Clouds

PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media

Application of Convolutional Neural Networks to Identify Stellar Feedback Bubbles in CO Emission

Application of Convolutional Neural Networks to Identify Protostellar Outflows in CO Emission

Application of Convolutional Neural Networks to Identify Protostellar Outflows in CO Emission

Numerical Simulation and Completeness Survey of Bubbles in the Taurus and Perseus Molecular Clouds

CASI: A Convolutional Neural Network Approach for Shell Identification

The Milky Way Project second data release: bubbles and bow shocks

Where is OH and Does It Trace the Dark Molecular Gas (DMG)?

Assessing the Performance of a Machine Learning Algorithm in Identifying Bubbles in Dust Emission

CH as a Molecular Gas Tracer and C-shock Tracer Across a Molecular Cloud Boundary in Taurus

Evolution of OH and CO-Dark Molecular Gas Fraction across a Molecular Cloud Boundary in Taurus

Quantifying Dark Gas

Outflows and Bubbles in Taurus: Star-formation Feedback Sufficient to Maintain Turbulence