| Prompt engineering for healthcare: Methodologies and applications J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang, Y Kang, J Wu, H Hu, ... arXiv preprint arXiv:2304.14670, 2023 | 73 | 2023 |
| Review of large vision models and visual prompt engineering J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai, Q Yang, Y Liu, S Zhang, ... Meta-Radiology, 100047, 2023 | 62 | 2023 |
| Samaug: Point prompt augmentation for segment anything model H Dai, C Ma, Z Liu, Y Li, P Shu, X Wei, L Zhao, Z Wu, D Zhu, W Liu, Q Li, ... arXiv preprint arXiv:2307.01187, 2023 | 28 | 2023 |
| Large language models for robotics: Opportunities, challenges, and perspectives J Wang, Z Wu, Y Li, H Jiang, P Shu, E Shi, H Hu, C Ma, Y Liu, X Wang, ... arXiv preprint arXiv:2401.04334, 2024 | 9 | 2024 |
| Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network S Zhang, E Shi, L Wu, R Wang, S Yu, Z Liu, S Xu, T Liu, S Zhao Neural Networks 165, 1035-1049, 2023 | 9 | 2023 |
| An explainable and generalizable recurrent neural network approach for differentiating human brain states on EEG dataset S Zhang, L Wu, S Yu, E Shi, N Qiang, H Gao, J Zhao, S Zhao IEEE transactions on neural networks and learning systems, 2022 | 8 | 2022 |
| MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification S Zhang, J Wu, E Shi, S Yu, Y Gao, LC Li, LR Kuo, MJ Pomeroy, ZJ Liang Computerized Medical Imaging and Graphics 108, 102257, 2023 | 6 | 2023 |
| MEET: A Multi-Band EEG Transformer for Brain States Decoding E Shi, S Yu, Y Kang, J Wu, L Zhao, D Zhu, J Lv, T Liu, X Hu, S Zhang IEEE Transactions on Biomedical Engineering, 2023 | 1 | 2023 |
| A small-sample method with eeg signals based on abductive learning for motor imagery decoding T Zhong, X Wei, E Shi, J Gao, C Ma, Y Wei, S Zhang, L Guo, J Han, T Liu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design H Hu, H Zhang, E Shi, S Yu, H Gao, S Zhang Proceedings of the 2023 9th International Conference on Communication and …, 2023 | | 2023 |
| Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach Y Kang, R Wang, E Shi, J Wu, S Yu, S Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Effective Human Motor Imagery Recognition via Segment Pool Based on One-Dimensional Convolutional Neural Network with Bidirectional Recurrent Attention Unit Network H Hu, C Yue, E Shi, S Yu, Y Kang, J Wu, J Wang, S Zhang Applied Sciences 13 (16), 9233, 2023 | | 2023 |
| A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imaging S Yu, E Shi, R Wang, S Zhao, T Liu, X Jiang, S Zhang Frontiers in Human Neuroscience 16, 944543, 2022 | | 2022 |
| A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset S Zhang, J Wu, S Yu, R Wang, E Shi, Y Gao, Z Liang International Workshop on Multiscale Multimodal Medical Imaging, 44-53, 2022 | | 2022 |
| A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure S Zhang, Y Kang, S Yu, J Wu, E Shi, R Wang, Z He, L Du, T Zhang International Workshop on Machine Learning in Medical Imaging, 191-200, 2022 | | 2022 |
Shu ZhangUniversity of Georgia在 uga.edu 的电子邮件经过验证
