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ORCIDShihao Yang 0001
Person information
- affiliation: Stevens Institute of Technology, Hoboken, NJ, USA
Other persons with the same name
- Shihao Yang — disambiguation page
- Shihao Yang 0002
![[0000-0003-3910-4969]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3910-4969")
— Georgia Institute of Technology, GA, USA
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2020 – today
- 2025
[j3]Jun-En Ding, Shihao Yang, Anna Zilverstand, Kaustubh R. Kulkarni, Xiaosi Gu, Feng Liu:
Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks. IEEE J. Biomed. Health Informatics 29(1): 358-370 (2025)- 2024
- [j2]Shihao Yang, Meng Jiao, Jing Xiang, Neel Fotedar, Hai Sun, Feng Liu:
Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. Brain Informatics 11(1): 8 (2024) - [j1]Meng Jiao, Xiaochen Xian, Boyu Wang, Yu Zhang, Shihao Yang, Spencer C. Chen, Hai Sun, Feng Liu:
XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG. NeuroImage 299: 120802 (2024) - [c4]Zeyu Gu, Shihao Yang, Zhongyuan Yu, Feng Liu:
Detection of High-Frequency Oscillations from Intracranial EEG Data with Switching State Space Model. EMBC 2024: 1-4 - [i1]Jun-En Ding, Shihao Yang, Anna Zilverstand, Feng Liu:
Identification of Craving Maps among Marijuana Users via the Analysis of Functional Brain Networks with High-Order Attention Graph Neural Networks. CoRR abs/2403.00033 (2024) - 2023
- [c3]Meng Jiao, Shihao Yang, Boyu Wang, Xiaochen Xian, Yevgeniy R. Semenov, Guihong Wan, Feng Liu:
MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging. BI 2023: 273-285 - [c2]Shihao Yang, Meng Jiao, Jing Xiang, Daphne Kalkanis, Hai Sun, Feng Liu:
Rejuvenating Classical Source Localization Methods with Spatial Graph Filters. BI 2023: 286-296 - [c1]Shulin Wen, Shihao Yang, Xinglong Ju, Ting Liao, Feng Liu:
Prediction of Cannabis Addictive Patients with Graph Neural Networks. BI 2023: 297-307
Coauthor Index
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