| Novel efficient RNN and LSTM-like architectures: Recurrent and gated broad learning systems and their applications for text classification J Du, CM Vong, CLP Chen IEEE transactions on cybernetics 51 (3), 1586-1597, 2020 | 148 | 2020 |
| Multi-task learning for quality assessment of fetal head ultrasound images Z Lin, S Li, D Ni, Y Liao, H Wen, J Du, S Chen, T Wang, B Lei Medical image analysis 58, 101548, 2019 | 96 | 2019 |
| 3D multi-attention guided multi-task learning network for automatic gastric tumor segmentation and lymph node classification Y Zhang, H Li, J Du, J Qin, T Wang, Y Chen, B Liu, W Gao, G Ma, B Lei IEEE transactions on medical imaging 40 (6), 1618-1631, 2021 | 78 | 2021 |
| Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease B Lei, N Cheng, AF Frangi, EL Tan, J Cao, P Yang, A Elazab, J Du, Y Xu, ... Medical image analysis 61, 101652, 2020 | 59 | 2020 |
| Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography L Guo, B Lei, W Chen, J Du, AF Frangi, J Qin, C Zhao, P Shi, B Xia, ... Medical Image Analysis 71, 102042, 2021 | 41 | 2021 |
| Trajectory forecasting based on prior-aware directed graph convolutional neural network Y Su, J Du, Y Li, X Li, R Liang, Z Hua, J Zhou IEEE Transactions on Intelligent Transportation Systems 23 (9), 16773-16785, 2022 | 34 | 2022 |
| Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data CM Vong, J Du Neural Networks 128, 268-278, 2020 | 34 | 2020 |
| Postboosting using extended G-mean for online sequential multiclass imbalance learning CM Vong, J Du, CM Wong, JW Cao IEEE transactions on neural networks and learning systems 29 (12), 6163-6177, 2018 | 33 | 2018 |
| Cross-attention multi-branch network for fundus diseases classification using SLO images H Xie, X Zeng, H Lei, J Du, J Wang, G Zhang, J Cao, T Wang, B Lei Medical Image Analysis 71, 102031, 2021 | 29 | 2021 |
| Post-boosting of classification boundary for imbalanced data using geometric mean J Du, CM Vong, CM Pun, PK Wong, WF Ip Neural Networks 96, 101-114, 2017 | 29 | 2017 |
| Parameter-free loss for class-imbalanced deep learning in image classification J Du, Y Zhou, P Liu, CM Vong, T Wang IEEE Transactions on Neural Networks and Learning Systems 34 (6), 3234-3240, 2021 | 28 | 2021 |
| Robust online multilabel learning under dynamic changes in data distribution with labels J Du, CM Vong IEEE transactions on cybernetics 50 (1), 374-385, 2019 | 28 | 2019 |
| AIDAN: an attention-guided dual-path network for pediatric echocardiography segmentation Y Hu, B Xia, M Mao, Z Jin, J Du, L Guo, AF Frangi, B Lei, T Wang Ieee Access 8, 29176-29187, 2020 | 26 | 2020 |
| Scale-adaptive super-feature based MetricUNet for brain tumor segmentation Y Liu, J Du, CM Vong, G Yue, J Yu, Y Wang, B Lei, T Wang Biomedical Signal Processing and Control 73, 103442, 2022 | 25 | 2022 |
| Parameter-free similarity-aware attention module for medical image classification and segmentation J Du, K Guan, Y Zhou, Y Li, T Wang IEEE Transactions on Emerging Topics in Computational Intelligence, 2022 | 19 | 2022 |
| Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion C Zhao, B Xia, W Chen, L Guo, J Du, T Wang, B Lei Applied Soft Computing 107, 107386, 2021 | 14 | 2021 |
| Supervised extreme learning machine-based auto-encoder for discriminative feature learning J Du, CM Vong, C Chen, P Liu, Z Liu IEEE Access 8, 11700-11709, 2019 | 9 | 2019 |
| Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer Y Zhang, N Yuan, Z Zhang, J Du, T Wang, B Liu, A Yang, K Lv, G Ma, ... Medical Image Analysis 79, 102467, 2022 | 6 | 2022 |
| Online sequential extreme learning machine with under-sampling and over-sampling for imbalanced big data classification J Du, CM Vong, Y Chang, Y Jiao Proceedings of ELM-2016, 229-239, 2018 | 6 | 2018 |
| Boundary-sensitive loss function with location constraint for hard region segmentation J Du, K Guan, P Liu, Y Li, T Wang IEEE Journal of Biomedical and Health Informatics 27 (2), 992-1003, 2022 | 5 | 2022 |
