| A survey of convolutional neural networks: analysis, applications, and prospects Z Li, F Liu, W Yang, S Peng, J Zhou IEEE transactions on neural networks and learning systems 33 (12), 6999-7019, 2021 | 2090 | 2021 |
| L1-norm distance linear discriminant analysis based on an effective iterative algorithm Q Ye, J Yang, F Liu, C Zhao, N Ye, T Yin IEEE Transactions on Circuits and Systems for Video Technology 28 (1), 114-129, 2016 | 107 | 2016 |
| A flood forecasting model based on deep learning algorithm via integrating stacked autoencoders with BP neural network F Liu, F Xu, S Yang 2017 IEEE third International conference on multimedia big data (BigMM), 58-61, 2017 | 87 | 2017 |
| WLBP: Weber local binary pattern for local image description F Liu, Z Tang, J Tang Neurocomputing 120, 325-335, 2013 | 82 | 2013 |
| Body surface context: A new robust feature for action recognition from depth videos Y Song, J Tang, F Liu, S Yan IEEE transactions on circuits and systems for video technology 24 (6), 952-964, 2014 | 69 | 2014 |
| Global-local multiple granularity learning for cross-modality visible-infrared person reidentification L Zhang, G Du, F Liu, H Tu, X Shu IEEE Transactions on Neural Networks and Learning Systems, 2021 | 58 | 2021 |
| Real-time system for driver fatigue detection by RGB-D camera L Zhang, FAN Liu, J Tang ACM Transactions on Intelligent Systems and Technology (TIST) 6 (2), 1-17, 2015 | 43 | 2015 |
| Deep learning based single sample face recognition: a survey F Liu, D Chen, F Wang, Z Li, F Xu Artificial Intelligence Review 56 (3), 2723-2748, 2023 | 30 | 2023 |
| A synergistical attention model for semantic segmentation of remote sensing images X Li, F Xu, F Liu, X Lyu, Y Tong, Z Xu, J Zhou IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 28 | 2023 |
| Remoteclip: A vision language foundation model for remote sensing F Liu, D Chen, Z Guan, X Zhou, J Zhu, Q Ye, L Fu, J Zhou IEEE Transactions on Geoscience and Remote Sensing, 2024 | 27 | 2024 |
| A water level prediction model based on ARIMA-RNN G Xu, Y Cheng, F Liu, P Ping, J Sun 2019 IEEE Fifth International Conference on Big Data Computing Service and …, 2019 | 27 | 2019 |
| Local structure-based sparse representation for face recognition F Liu, J Tang, Y Song, L Zhang, Z Tang ACM Transactions on Intelligent Systems and Technology (TIST) 7 (1), 1-20, 2015 | 22 | 2015 |
| A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning F Liu, D Chen, J Zhou, F Xu Engineering Applications of Artificial Intelligence 116, 105399, 2022 | 21 | 2022 |
| Feature hallucination via maximum a posteriori for few-shot learning J Wu, N Dong, F Liu, S Yang, J Hu Knowledge-Based Systems 225, 107129, 2021 | 19 | 2021 |
| Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization Z Yang, Q Ye, Q Chen, X Ma, L Fu, G Yang, H Yan, F Liu Knowledge-Based Systems 207, 106090, 2020 | 19 | 2020 |
| A review of driver fatigue detection: Progress and prospect F Liu, X Li, T Lv, F Xu 2019 IEEE International conference on consumer electronics (ICCE), 1-6, 2019 | 19 | 2019 |
| Significant wave height prediction based on wavelet graph neural network D Chen, F Liu, Z Zhang, X Lu, Z Li 2021 IEEE 4th international conference on big data and artificial …, 2021 | 18 | 2021 |
| A review of automated diagnosis of covid-19 based on scanning images D Chen, S Ji, F Liu, Z Li, X Zhou Proceedings of the 6th International Conference on Robotics and Artificial …, 2020 | 16 | 2020 |
| Single sample face recognition via BoF using multistage KNN collaborative coding F Liu, S Yang, Y Ding, F Xu Multimedia Tools and Applications 78, 13297-13311, 2019 | 15 | 2019 |
| Learning low-rank regularized generic representation with block-sparse structure for single sample face recognition F Liu, Y Ding, F Xu, Q Ye Ieee Access 7, 30573-30587, 2019 | 13 | 2019 |
