| Binarized neural network for single image super resolution J Xin, N Wang, X Jiang, J Li, H Huang, X Gao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 83 | 2020 |
| Wavelet-based dual recursive network for image super-resolution J Xin, J Li, X Jiang, N Wang, H Huang, X Gao IEEE Transactions on Neural Networks and Learning Systems 33 (2), 707-720, 2020 | 71 | 2020 |
| Learning lightweight super-resolution networks with weight pruning X Jiang, N Wang, J Xin, X Xia, X Yang, X Gao Neural Networks 144, 21-32, 2021 | 59 | 2021 |
| Training binary neural network without batch normalization for image super-resolution X Jiang, N Wang, J Xin, K Li, X Yang, X Gao Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1700-1707, 2021 | 40 | 2021 |
| Facial attribute capsules for noise face super resolution J Xin, N Wang, X Jiang, J Li, X Gao, Z Li Proceedings of the AAAI conference on artificial intelligence 34 (07), 12476 …, 2020 | 32 | 2020 |
| Learning deep resonant prior for hyperspectral image super-resolution Z Gong, N Wang, D Cheng, X Jiang, J Xin, X Yang, X Gao IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 18 | 2022 |
| Foundation model for advancing healthcare: Challenges, opportunities, and future directions Y He, F Huang, X Jiang, Y Nie, M Wang, J Wang, H Chen arXiv preprint arXiv:2404.03264, 2024 | 15 | 2024 |
| Toward pixel-level precision for binary super-resolution with mixed binary representation X Jiang, N Wang, J Xin, K Li, X Yang, J Li, X Gao IEEE Transactions on Neural Networks and Learning Systems 35 (3), 3989-4001, 2022 | 13 | 2022 |
| Image super-resolution via multi-view information fusion networks X Jiang, N Wang, J Xin, X Yang, Y Yu, X Gao Neurocomputing 402, 29-37, 2020 | 12 | 2020 |
| Local means binary networks for image super-resolution K Li, N Wang, J Xin, X Jiang, J Li, X Gao, K Han, Y Wang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 10 | 2022 |
| Person re-identification with gradual background suppression Y Tang, X Yang, N Wang, X Jiang, B Song, X Gao 2019 IEEE International Conference on Multimedia and Expo (ICME), 706-711, 2019 | 8 | 2019 |
| Fabnet: Frequency-aware binarized network for single image super-resolution X Jiang, N Wang, J Xin, K Li, X Yang, J Li, X Wang, X Gao IEEE Transactions on Image Processing 32, 6234-6247, 2023 | 7 | 2023 |
| Advanced binary neural network for single image super resolution J Xin, N Wang, X Jiang, J Li, X Gao International Journal of Computer Vision 131 (7), 1808-1824, 2023 | 6 | 2023 |
| Towards a generalizable pathology foundation model via unified knowledge distillation J Ma, Z Guo, F Zhou, Y Wang, Y Xu, Y Cai, Z Zhu, C Jin, Y Lin, X Jiang, ... arXiv preprint arXiv:2407.18449, 2024 | 4 | 2024 |
| Dually distribution pulling network for cross-resolution person reidentification Y Tang, X Yang, X Jiang, N Wang, X Gao IEEE Transactions on Cybernetics 52 (11), 12016-12027, 2021 | 3 | 2021 |
| Image super-resolution via deep feature recalibration network J Xin, X Jiang, N Wang, J Li, X Gao Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 256-267, 2020 | 2 | 2020 |
| Rectified Binary Network for Single-Image Super-Resolution J Xin, N Wang, X Jiang, J Li, X Wang, X Gao IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
Nannan WangProfessor, Xidian UniversityVerified email at xidian.edu.cn
