Jiashuang Huang   黄嘉爽

Dr. Jiashuang Huang is an associate professor at the School of Artificial Intelligence and Computer Science at Nantong University. He received his Ph.D. degree in College of Computer Science and Technology from Nanjing University of Aeronautics and Astronautics in 2020. From 2018 to 2019, he was a Visiting Scholar at University of Wollongong (UOW), Wollongong , NSW, Australia. His recent research is to analyze the brain network by using machine learning methods. He has published more than 20 research peer-reviewed journal and conference papers, including IEEE TMI, IEEE JBHI, Medical Image Analysis, Bioinformatics, AAAI, MICCAI etc. 

1. Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu and Daoqiang Zhang. Identifying resting-state multifrequency biomarkers via tree-guided group sparse learning for schizophrenia classification[J]. IEEE journal of biomedical and health informatics, 2018, 23(1): 342-350.

2. Jiashuang Huang, Luping Zhou, Lei Wang, and Daoqiang Zhang. Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019: 691-699.

3. Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, and Daoqiang Zhang. Coherent Pattern in Multi-layer Brain Networks: Application to Epilepsy Identification[J]. IEEE Journal of Biomedical and Health Informatics, 2019, 24(9): 2609-2620.

4. Jiashuang Huang, Luping Zhou, Lei Wang, and Daoqiang Zhang. Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis[J]. IEEE Transactions on Medical Imaging, 2020, 39(7): 2541-2552.

5. Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie and Daoqiang Zhang. A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis[J]. Medical Image Analysis, 2020. doi: 10.1016/j.media.2020.101755