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Haodi Jiang
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2020 – today
- 2024
- [c6]Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang:
Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods. FLAIRS 2024 - [c5]Haodi Jiang, Harshitha Polsani, Yuexin Liu:
DeepGray: Malware Classification Using Grayscale Images with Deep Learning. FLAIRS 2024 - [i6]Chunhui Xu, Jason T. L. Wang, Haimin Wang, Haodi Jiang, Qin Li, Yasser Abduallah, Yan Xu:
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network. CoRR abs/2403.18302 (2024) - [i5]Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang:
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges. CoRR abs/2409.04850 (2024) - 2023
- [c4]Gautam Varma Datla, Haodi Jiang, Jason T. L. Wang:
An Interpretable LSTM Network for Solar Flare Prediction. ICTAI 2023: 526-531 - [d16]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d15]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d14]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d13]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d12]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d11]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d10]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d9]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - 2022
- [d8]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d7]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d6]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d5]Haodi Jiang, Qin L, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2022 - [d4]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2022 - [i4]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks. CoRR abs/2210.04122 (2022) - [i3]Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang:
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. CoRR abs/2211.02278 (2022) - 2021
- [d3]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [d2]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [d1]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [i2]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Halpha Fibrils through Bayesian Deep Learning. CoRR abs/2107.07886 (2021) - 2020
- [i1]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. CoRR abs/2008.12080 (2020)
2010 – 2019
- 2018
- [j2]Sen Zhang, Zhihui Du, Jason T. L. Wang, Haodi Jiang:
Discovering frequent induced subgraphs from directed networks. Intell. Data Anal. 22(6): 1279-1296 (2018) - [c3]Haodi Jiang, Turki Turki, Jason T. L. Wang:
DLGraph: Malware Detection Using Deep Learning and Graph Embedding. ICMLA 2018: 1029-1033 - [c2]Haodi Jiang, Turki Turki, Sen Zhang, Jason T. L. Wang:
Reverse Engineering Gene Regulatory Networks Using Graph Mining. MLDM (1) 2018: 335-349 - 2017
- [c1]Haodi Jiang, Turki Turki, Jason T. L. Wang:
Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. ICMLA 2017: 761-764 - 2015
- [j1]Ruogu Fang, Haodi Jiang, Junzhou Huang:
Tissue-specific sparse deconvolution for brain CT perfusion. Comput. Medical Imaging Graph. 46: 64-72 (2015)
Coauthor Index
aka: Jason T. L. Wang
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last updated on 2024-10-31 21:07 CET by the dblp team
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