| Deep direct reinforcement learning for financial signal representation and trading Y Deng, F Bao, Y Kong, Z Ren, Q Dai IEEE transactions on neural networks and learning systems 28 (3), 653-664, 2016 | 929 | 2016 |
| A hierarchical fused fuzzy deep neural network for data classification Y Deng, Z Ren, Y Kong, F Bao, Q Dai IEEE Transactions on Fuzzy Systems 25 (4), 1006-1012, 2016 | 392 | 2016 |
| Discriminative clustering and feature selection for brain MRI segmentation Y Kong, Y Deng, Q Dai IEEE Signal Processing Letters 22 (5), 573-577, 2014 | 160 | 2014 |
| Automatic segmentation of kidney and renal tumor in ct images based on 3d fully convolutional neural network with pyramid pooling module G Yang, G Li, T Pan, Y Kong, J Wu, H Shu, L Luo, JL Dillenseger, ... 2018 24th International Conference on Pattern Recognition (ICPR), 3790-3795, 2018 | 87 | 2018 |
| Xmorpher: Full transformer for deformable medical image registration via cross attention J Shi, Y He, Y Kong, JL Coatrieux, H Shu, G Yang, S Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 83 | 2022 |
| Lstm multi-modal unet for brain tumor segmentation F Xu, H Ma, J Sun, R Wu, X Liu, Y Kong 2019 IEEE 4th international conference on image, vision and computing (ICIVC …, 2019 | 77 | 2019 |
| Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation Y He, G Yang, J Yang, Y Chen, Y Kong, J Wu, L Tang, X Zhu, ... Medical image analysis 63, 101722, 2020 | 70 | 2020 |
| Sparse coding-inspired optimal trading system for HFT industry Y Deng, Y Kong, F Bao, Q Dai IEEE Transactions on Industrial Informatics 11 (2), 467-475, 2015 | 64 | 2015 |
| Spatio‐temporal graph convolutional network for diagnosis and treatment response prediction of major depressive disorder from functional connectivity Y Kong, S Gao, Y Yue, Z Hou, H Shu, C Xie, Z Zhang, Y Yuan Human brain mapping 42 (12), 3922-3933, 2021 | 54 | 2021 |
| Deep octonion networks J Wu, L Xu, F Wu, Y Kong, L Senhadji, H Shu Neurocomputing 397, 179-191, 2020 | 45 | 2020 |
| Meta grayscale adaptive network for 3D integrated renal structures segmentation Y He, G Yang, J Yang, R Ge, Y Kong, X Zhu, S Zhang, P Shao, H Shu, ... Medical image analysis 71, 102055, 2021 | 40 | 2021 |
| Increased temporal variability of striatum region facilitating the early antidepressant response in patients with major depressive disorder Z Hou, Y Kong, X He, Y Yin, Y Zhang, Y Yuan Progress in Neuro-psychopharmacology and Biological Psychiatry 85, 39-45, 2018 | 40 | 2018 |
| Multilinear principal component analysis network for tensor object classification J Wu, S Qiu, R Zeng, Y Kong, L Senhadji, H Shu IEEE Access 5, 3322-3331, 2017 | 40 | 2017 |
| Variation in anisotropy and diffusivity along the medulla oblongata and the whole spinal cord in adolescent idiopathic scoliosis: a pilot study using diffusion tensor imaging Y Kong, L Shi, SCN Hui, D Wang, M Deng, WCW Chu, JCY Cheng American journal of neuroradiology 35 (8), 1621-1627, 2014 | 40 | 2014 |
| Learning deep landmarks for imbalanced classification F Bao, Y Deng, Y Kong, Z Ren, J Suo, Q Dai IEEE transactions on neural networks and learning systems 31 (8), 2691-2704, 2019 | 37 | 2019 |
| More optimal but less regulated dorsal and ventral visual networks in patients with major depressive disorder H Chen, K Liu, B Zhang, J Zhang, X Xue, Y Lin, D Zou, M Chen, Y Kong, ... Journal of Psychiatric Research 110, 172-178, 2019 | 37 | 2019 |
| DPA-DenseBiasNet: Semi-supervised 3D fine renal artery segmentation with dense biased network and deep priori anatomy Y He, G Yang, Y Chen, Y Kong, J Wu, L Tang, X Zhu, JL Dillenseger, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 37 | 2019 |
| Deep and structured robust information theoretic learning for image analysis Y Deng, F Bao, X Deng, R Wang, Y Kong, Q Dai IEEE Transactions on Image Processing 25 (9), 4209-4221, 2016 | 35 | 2016 |
| Few-shot learning for deformable medical image registration with perception-correspondence decoupling and reverse teaching Y He, T Li, R Ge, J Yang, Y Kong, J Zhu, H Shu, G Yang, S Li IEEE Journal of Biomedical and Health Informatics 26 (3), 1177-1187, 2021 | 34 | 2021 |
| Deep complementary joint model for complex scene registration and few-shot segmentation on medical images Y He, T Li, G Yang, Y Kong, Y Chen, H Shu, JL Coatrieux, JL Dillenseger, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
