| Exploiting convolutional neural networks with deeply local description for remote sensing image classification N Liu, L Wan, Y Zhang, T Zhou, H Huo, T Fang IEEE access 6, 11215-11228, 2018 | 132 | 2018 |
| Face recognition with convolutional neural networks and subspace learning L Wan, N Liu, H Huo, T Fang 2017 2nd international conference on image, vision and computing (ICIVC …, 2017 | 21 | 2017 |
| Improving the separability of deep features with discriminative convolution filters for RSI classification N Liu, X Lu, L Wan, H Huo, T Fang ISPRS International Journal of Geo-Information 7 (3), 95, 2018 | 20 | 2018 |
| Synthesizing talking faces from text and audio: an autoencoder and sequence-to-sequence convolutional neural network N Liu, T Zhou, Y Ji, Z Zhao, L Wan Pattern Recognition 102, 107231, 2020 | 17 | 2020 |
| Non-convex joint bilateral guided depth upsampling X Lu, Y Guo, N Liu, L Wan, T Fang Multimedia Tools and Applications 77, 15521-15544, 2018 | 14 | 2018 |
| Selective convolutional neural networks and cascade classifiers for remote sensing image classification L Wan, N Liu, H Huo, T Fang Remote Sensing Letters 8 (10), 917-926, 2017 | 13 | 2017 |
| Coarse-to-fine ship detection using visual saliency fusion and feature encoding for optical satellite images Y Yin, N Liu, C Li, W Wan, T Fang 2016 International Conference on Audio, Language and Image Processing …, 2016 | 9 | 2016 |
| Local feature representation based on linear filtering with feature pooling and divisive normalization for remote sensing image classification L Wan, N Liu, Y Guo, H Huo, T Fang Journal of Applied Remote Sensing 11 (1), 016017-016017, 2017 | 8 | 2017 |
| A comparative study for contour detection using deep convolutional neural networks N Liu, Y Yuan, L Wan, H Huo, T Fang Proceedings of the 2018 10th International Conference on Machine Learning …, 2018 | 6 | 2018 |
| Vehicle detection in high resolution satellite images with joint-layer deep convolutional neural networks Y Liu, N Liu, H Huo, T Fang 2016 23rd International Conference on Mechatronics and Machine Vision in …, 2016 | 6 | 2016 |
| Multi-view deep representations with cross-dataset transfer for remote sensing image retrieval and classification N Liu, L Wan, Q Huang, Y Ji Multimedia Tools and Applications 80 (15), 22891-22905, 2021 | 4 | 2021 |
| Robust object tracking via constrained online dictionary learning N Liu, H Huo, T Fang Multimedia Tools and Applications 78, 3689-3703, 2019 | 4 | 2019 |
| Incorporating structural plasticity into self-organization recurrent networks for sequence learning Y Yuan, Y Zhu, J Wang, R Li, X Xu, T Fang, H Huo, L Wan, Q Li, N Liu, ... Frontiers in Neuroscience 17, 1224752, 2023 | 1 | 2023 |
| Fully Connected Hashing Neural Networks for Indexing Large-Scale Remote Sensing Images N Liu, H Mou, J Tang, L Wan, Q Li, Y Yuan Mathematics 10 (24), 4716, 2022 | 1 | 2022 |
| Contour detection based on multi-scale spatial inhibition and contextual modulation S Deng, N Liu, H Huo, T Fang 2015 Seventh International Conference on Advanced Computational Intelligence …, 2015 | 1 | 2015 |
| Instance Segmentation of Sparse Point Clouds with Spatio-Temporal Coding for Autonomous Robot N Liu, Y Yuan, S Zhang, G Wu, J Leng, L Wan Mathematics 12 (8), 1200, 2024 | | 2024 |
| Improving imbalance classification via ensemble learning based on two-stage learning N Liu, J Wang, Y Zhu, L Wan, Q Li Frontiers in Computational Neuroscience 17, 1296897, 2024 | | 2024 |
| Alleviating Long-Tailed Image Classification via Dynamical Classwise Splitting Y Yuan, J Wang, X Xu, R Li, Y Zhu, L Wan, Q Li, N Liu Mathematics 11 (13), 2996, 2023 | | 2023 |
| Autoencoder Induced Deep Spiking Neural Network R Li, X Xu, L Wan, Q Li, Y Yuan, N Liu Proceedings of the 2023 7th International Conference on Innovation in …, 2023 | | 2023 |
| 基于 YOLO 神经网络的垃圾检测与分类. 张伟， 刘娜， 江洋， 李清都 Electronic Science & Technology 35 (10), 2022 | | 2022 |
