A new chaos-based color image encryption scheme with an efficient substitution keystream generation strategy C Fu, G Zhang, M Zhu, Z Chen, W Lei Security and Communication Networks 2018, 1-13, 2018 | 67 | 2018 |
Convolutional neural networks combined with Runge–Kutta methods M Zhu, B Chang, C Fu Neural Computing and Applications, 1-15, 2022 | 65 | 2022 |
Global context aware RCNN for object detection W Zhang, C Fu, H Xie, M Zhu, M Tie, J Chen Neural Computing and Applications 33, 11627-11639, 2021 | 23 | 2021 |
A fast chaos-based colour image encryption algorithm using a hash function C Fu, GY Zhang, M Zhu, JX Chen, WM Lei Informatica 29 (4), 651-673, 2018 | 7 | 2018 |
A novel parallel image encryption scheme using chaos C Fu, G Zhang, M Zhu, L Cong, W Lei 2017 IEEE International Symposium on Parallel and Distributed Processing …, 2017 | 6 | 2017 |
Joint object contour points and semantics for instance segmentation W Zhang, C Fu, M Zhu, L Cao, M Tie, CW Sham Expert Systems 41 (3), e13504, 2024 | 2 | 2024 |
Semantic Segmentation of Medical Images Based on Runge–Kutta Methods M Zhu, C Fu, X Wang Bioengineering 10 (5), 2023 | 2 | 2023 |
RKSeg+: make full use of Runge–Kutta methods in medical image segmentation M Zhu, C Fu, X Wang Multimedia Systems 30, 2024 | | 2024 |
Dense Global Context Aware RCNN for Object Detection W Zhang, H Xie, M Zhu, C Fu | | 2020 |