| When brain-inspired ai meets agi L Zhao, L Zhang, Z Wu, Y Chen, H Dai, X Yu, Z Liu, T Zhang, X Hu, ... Meta-Radiology 1 (1), 100005, 2023 | 104 | 2023 |
| Adversarial learning based node-edge graph attention networks for autism spectrum disorder identification Y Chen, J Yan, M Jiang, T Zhang, Z Zhao, W Zhao, J Zheng, D Yao, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 69 | 2022 |
| Mask-guided BERT for few-shot text classification W Liao, Z Liu, H Dai, Z Wu, Y Zhang, X Huang, Y Chen, X Jiang, D Liu, ... Neurocomputing 610, 128576, 2024 | 41 | 2024 |
| Eye-gaze-guided vision transformer for rectifying shortcut learning C Ma, L Zhao, Y Chen, S Wang, L Guo, T Zhang, D Shen, X Jiang, T Liu IEEE Transactions on Medical Imaging 42 (11), 3384-3394, 2023 | 35 | 2023 |
| Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs) J Yan, Y Chen, Z Xiao, S Zhang, M Jiang, T Wang, T Zhang, J Lv, ... Medical Image Analysis 80, 102518, 2022 | 31 | 2022 |
| Characterizing functional brain networks via spatio-temporal attention 4D convolutional neural networks (STA-4DCNNs) X Jiang, J Yan, Y Zhao, M Jiang, Y Chen, J Zhou, Z Xiao, Z Wang, ... Neural Networks 158, 99-110, 2023 | 23 | 2023 |
| Instruction-vit: Multi-modal prompts for instruction learning in vit Z Xiao, Y Chen, L Zhang, J Yao, Z Wu, X Yu, Y Pan, L Zhao, C Ma, X Liu, ... arXiv preprint arXiv:2305.00201, 2023 | 22 | 2023 |
| Digital twin (dt)-cyclegan: Enabling zero-shot sim-to-real transfer of visual grasping models D Liu, Y Chen, Z Wu IEEE Robotics and Automation Letters 8 (5), 2421-2428, 2023 | 16 | 2023 |
| Anatomy-guided spatio-temporal graph convolutional networks (AG-STGCNs) for modeling functional connectivity between gyri and sulci across multiple task domains M Jiang, Y Chen, J Yan, Z Xiao, W Mao, B Zhao, S Yang, Z Zhao, T Zhang, ... IEEE transactions on neural networks and learning systems, 2022 | 16 | 2022 |
| Mask-guided vision transformer (mg-vit) for few-shot learning Y Chen, Z Xiao, L Zhao, L Zhang, H Dai, DW Liu, Z Wu, C Li, T Zhang, ... arXiv preprint arXiv:2205.09995, 2022 | 16 | 2022 |
| Exploring functional difference between gyri and sulci via region-specific 1D convolutional neural networks M Jiang, S Yang, J Yan, S Zhang, H Liu, L Zhao, H Dai, J Lv, T Zhang, ... Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 11 | 2020 |
| Multi-head gagnn: a multi-head guided attention graph neural network for modeling spatio-temporal patterns of holistic brain functional networks J Yan, Y Chen, S Yang, S Zhang, M Jiang, Z Zhao, T Zhang, Y Zhao, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer Z Xiao, Y Chen, J Yao, L Zhang, Z Liu, Z Wu, X Yu, Y Pan, L Zhao, C Ma, ... Information Fusion 104, 102204, 2024 | 8 | 2024 |
| A brain structural connectivity biomarker for autism spectrum disorder diagnosis in early childhood X Jiang, XJ Shou, Z Zhao, Y Chen, FC Meng, J Le, TJ Song, XJ Xu, ... Psychoradiology 3, kkad005, 2023 | 8 | 2023 |
| A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers Y Chen, Z Xiao, Y Du, L Zhao, L Zhang, Z Wu, D Zhu, T Zhang, D Yao, ... IEEE Transactions on Neural Networks and Learning Systems, 2024 | 5 | 2024 |
| Attention-based node-edge graph convolutional networks for identification of autism spectrum disorder using multi-modal mri data Y Chen, J Yan, M Jiang, Z Zhao, W Zhao, R Zhang, KM Kendrick, X Jiang Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | 4 | 2021 |
| A guided attention 4D convolutional neural network for modeling spatio-temporal patterns of functional brain networks J Yan, Y Zhao, M Jiang, S Zhang, T Zhang, S Yang, Y Chen, Z Zhao, Z He, ... Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | 4 | 2021 |
| Mask-Guided Vision Transformer for Few-Shot Learning Y Chen, Z Xiao, Y Pan, L Zhao, H Dai, Z Wu, C Li, T Zhang, C Li, D Zhu, ... IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |