Haodi Jiang

Orcid: 0000-0001-6460-408X

According to our database¹, Haodi Jiang authored at least 30 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network.

[BibT_eX]

[DOI]

CoRR, 2024

DeepGray: Malware Classification Using Grayscale Images with Deep Learning.

[BibT_eX]

[DOI]

Haodi Jiang

Harshitha Polsani

Yuexin Liu

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods.

[BibT_eX]

[DOI]

Haodi Jiang

Ryoma Matsuura

Jason T. L. Wang

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, January, 2023

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, January, 2023

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, January, 2023

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, January, 2023

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

An Interpretable LSTM Network for Solar Flare Prediction.

[BibT_eX]

[DOI]

Gautam Varma Datla

Haodi Jiang

Jason T. L. Wang

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, December, 2022

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

Dataset, December, 2022

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

Tracing Hα Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data.

[BibT_eX]

[DOI]

CoRR, 2022

Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning.

[BibT_eX]

[DOI]

Dataset, November, 2021

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning.

[BibT_eX]

[DOI]

Dataset, October, 2021

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning.

[BibT_eX]

[DOI]

Dataset, October, 2021

Tracing Halpha Fibrils through Bayesian Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2018

Discovering frequent induced subgraphs from directed networks.

[BibT_eX]

[DOI]

Intell. Data Anal., 2018

Reverse Engineering Gene Regulatory Networks Using Graph Mining.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

DLGraph: Malware Detection Using Deep Learning and Graph Embedding.

[BibT_eX]

[DOI]

Haodi Jiang

Turki Turki

Jason T. L. Wang

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function.

[BibT_eX]

[DOI]

Haodi Jiang

Turki Turki

Jason T. L. Wang

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2015

Tissue-specific sparse deconvolution for brain CT perfusion.

[BibT_eX]

[DOI]

Ruogu Fang

Haodi Jiang

Junzhou Huang

Comput. Medical Imaging Graph., 2015

Haodi Jiang

Timeline

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