Chang Liu

Orcid: 0000-0002-6178-7471

Affiliations:

New Jersey Institute of Technology, Institute for Space Weather Sciences, Newark, NJ, USA

According to our database¹, Chang Liu authored at least 27 papers between 2013 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

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

2022

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent 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

2021

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks.

[BibT_eX]

[DOI]

Dataset, November, 2021

Predicting Solar Flares Using a Long Short-term Memory Network.

[BibT_eX]

[DOI]

Dataset, November, 2021

Predicting Solar Flares Using a Long Short-term Memory Network.

[BibT_eX]

[DOI]

Dataset, November, 2021

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks.

[BibT_eX]

[DOI]

Dataset, November, 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

DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Prism2/LSTM-flare-prediction: v1.0.1.

[BibT_eX]

[DOI]

Dataset, June, 2019

Predicting Solar Flares Using a Long Short-term Memory Network.

[BibT_eX]

[DOI]

Dataset, June, 2019

Predicting Solar Flares Using a Long Short-term Memory Network.

[BibT_eX]

[DOI]

Dataset, June, 2019

Predicting Solar Flares Using a Long Short-Term Memory Network.

[BibT_eX]

[DOI]

CoRR, 2019

2014

Approximating High-Dimensional Range Queries with kNN Indexing Techniques.

[BibT_eX]

[DOI]

Proceedings of the Computing and Combinatorics - 20th International Conference, 2014

2013

Region-Based Querying of Solar Data Using Descriptor Signatures.

[BibT_eX]

[DOI]

Juan M. Banda

Chang Liu

Rafal A. Angryk

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Chang Liu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...