| 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 | 147 | 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 | 146 | 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 | 84 | 2024 |
| Samaug: Point prompt augmentation for segment anything model H Dai, C Ma, Z Yan, Z Liu, E Shi, Y Li, P Shu, X Wei, L Zhao, Z Wu, F Zeng, ... arXiv preprint arXiv:2307.01187, 2023 | 46 | 2023 |
| 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 | 17 | 2023 |
| 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 | 16 | 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 | 11 | 2022 |
| 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 | 9 | 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 | 3 | 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 | 1 | 2023 |
| A Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding Q Yuan, E Shi, K Zhao, D Zhu, D Zhang, S Zhang 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| ST-GF: Graph-based Fusion of Spatial and Temporal Features for EEG Motor Imagery Decoding X Wang, K Zhao, E Shi, S Yu, G Chen, S Zhang 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| TF-HiTNet: A Temporal-Frequency Hierarchical Transformer Network for EEG Motor Imagery Classification C Yue, H Hu, E Shi, S Zhang 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| The NWPU-BBIC System for the ISCSLP 2024 Chinese Auditory Attention Decoding Challenge Q Yuan, D Zhu, E Shi, K Zhao 2024 IEEE 14th International Symposium on Chinese Spoken Language Processing …, 2024 | | 2024 |
| DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion X Zhang, E Shi, S Yu, S Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling E Shi, K Zhao, Q Yuan, J Wang, H Hu, S Yu, S Zhang arXiv preprint arXiv:2409.12454, 2024 | | 2024 |
| HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning H Hu, E Shi, C Yue, S Yang, Z Wu, Y Li, T Zhong, T Zhang, T Liu, S Zhang arXiv preprint arXiv:2409.11741, 2024 | | 2024 |
| 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 |
| 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 |
Shu ZhangNorthwestern Polytechnical UniversityEmail yang diverifikasi di nwpu.edu.cn