Tissue-specific sparse deconvolution for brain CT perfusion. - Ruogu Fang; Haodi Jiang; Junzhou Huang (Comput. Medical Imaging Graph., 2015)

Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. - Haodi Jiang; Turki Turki; Jason T. L. Wang (ICMLA, 2017)

DLGraph: Malware Detection Using Deep Learning and Graph Embedding. - Haodi Jiang; Turki Turki; Jason T. L. Wang (ICMLA, 2018)

Reverse Engineering Gene Regulatory Networks Using Graph Mining. - Haodi Jiang; Turki Turki; Sen Zhang 007; Jason T. L. Wang (MLDM (1), 2018)

Discovering frequent induced subgraphs from directed networks. - Sen Zhang 007; Zhihui Du; Jason T. L. Wang; Haodi Jiang (Intell. Data Anal., 2018)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 025; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

Tracing Halpha Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (CoRR, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (CoRR, 2022)

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. - Haodi Jiang; Qin Li 020; Zhihang Hu; Nian Liu; Yasser Abduallah; Ju Jing; Genwei Zhang; Yan Xu 014; Wynne Hsu; Jason T. L. Wang; Haimin Wang (CoRR, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin L; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

An Interpretable LSTM Network for Solar Flare Prediction. - Gautam Varma Datla; Haodi Jiang; Jason T. L. Wang (ICTAI, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. - Haodi Jiang; Qin Li 020; Yan Xu 014; Wynne Hsu; Kwangsu Ahn; Wenda Cao; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

MaxEmbed: Maximizing SSD bandwidth utilization for huge embedding models serving. - Ruwen Fan; Minhui Xie; Haodi Jiang; Youyou Lu (ASPLOS (4), 2024)

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper]. - Bo Shen; Marco Marena; Chenyang Li; Qin Li 020; Haodi Jiang; Mengnan Du; Jiajun Xu; Haimin Wang (IEEE Big Data, 2024)

Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods. - Haodi Jiang; Ryoma Matsuura; Jason T. L. Wang (FLAIRS, 2024)

DeepGray: Malware Classification Using Grayscale Images with Deep Learning. - Haodi Jiang; Harshitha Polsani; Yuexin Liu (FLAIRS, 2024)

Solar Image Synthesis with Generative Adversarial Networks. - Haodi Jiang; Jason T. L. Wang (ICMLA, 2024)

Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network. - Chunhui Xu 002; Jason T. L. Wang; Haimin Wang; Haodi Jiang; Qin Li 020; Yasser Abduallah; Yan Xu 014 (CoRR, 2024)

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges. - Bo Shen; Marco Marena; Chenyang Li; Qin Li 020; Haodi Jiang; Mengnan Du; Jiajun Xu; Haimin Wang (CoRR, 2024)