Multiagent reinforcement learning for multi-robot systems: A survey E Yang, D Gu tech. rep, 2004 | 242 | 2004 |
State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors X Zhang, F Ding, E Yang International Journal of Adaptive Control and Signal Processing 33 (7), 1157 …, 2019 | 238 | 2019 |
Nonlinear formation-keeping and mooring control of multiple autonomous underwater vehicles E Yang, D Gu IEEE/ASME transactions on mechatronics 12 (2), 164-178, 2007 | 174 | 2007 |
Deep convolution network based emotion analysis towards mental health care Z Fei, E Yang, DDU Li, S Butler, W Ijomah, X Li, H Zhou Neurocomputing 388, 212-227, 2020 | 169 | 2020 |
Highly computationally efficient state filter based on the delta operator X Zhang, F Ding, L Xu, E Yang International Journal of Adaptive Control and Signal Processing 33 (6), 875-889, 2019 | 169 | 2019 |
Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems L Xu, F Ding, E Yang International Journal of Robust and Nonlinear Control 31 (1), 148-165, 2021 | 163 | 2021 |
A deep convolutional generative adversarial networks (DCGANs)-based semi-supervised method for object recognition in synthetic aperture radar (SAR) images F Gao, Y Yang, J Wang, J Sun, E Yang, H Zhou Remote Sensing 10 (6), 846, 2018 | 162 | 2018 |
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0 X Yao, N Ma, J Zhang, K Wang, E Yang, M Faccio Journal of Intelligent Manufacturing 35 (1), 235-255, 2024 | 160 | 2024 |
A new algorithm for SAR image target recognition based on an improved deep convolutional neural network F Gao, T Huang, J Sun, J Wang, A Hussain, E Yang Cognitive Computation 11, 809-824, 2019 | 146 | 2019 |
State filtering‐based least squares parameter estimation for bilinear systems using the hierarchical identification principle X Zhang, F Ding, L Xu, E Yang IET Control Theory & Applications 12 (12), 1704-1713, 2018 | 134 | 2018 |
A novel semi-supervised convolutional neural network method for synthetic aperture radar image recognition Z Yue, F Gao, Q Xiong, J Wang, T Huang, E Yang, H Zhou Cognitive Computation 13, 795-806, 2021 | 118 | 2021 |
Inspection robots in oil and gas industry: a review of current solutions and future trends L Yu, E Yang, P Ren, C Luo, G Dobie, D Gu, X Yan 2019 25th International Conference on Automation and Computing (ICAC), 1-6, 2019 | 112 | 2019 |
Hierarchical gradient-and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation F Ding, H Ma, J Pan, E Yang Journal of the Franklin Institute 358 (9), 5113-5135, 2021 | 110 | 2021 |
Dual-branch deep convolution neural network for polarimetric SAR image classification F Gao, T Huang, J Wang, J Sun, A Hussain, E Yang Applied Sciences 7 (5), 447, 2017 | 108 | 2017 |
Autonomous robots for harsh environments: a holistic overview of current solutions and ongoing challenges C Wong, E Yang, XT Yan, D Gu Systems Science & Control Engineering 6 (1), 213-219, 2018 | 101 | 2018 |
An overview of robotics and autonomous systems for harsh environments C Wong, E Yang, XT Yan, D Gu 2017 23rd International Conference on Automation and Computing (ICAC), 1-6, 2017 | 77 | 2017 |
Autonomous detection of damage to multiple steel surfaces from 360 panoramas using deep neural networks C Luo, L Yu, J Yan, Z Li, P Ren, X Bai, E Yang, Y Liu Computer‐Aided Civil and Infrastructure Engineering 36 (12), 1585-1599, 2021 | 71 | 2021 |
Visual saliency modeling for river detection in high-resolution SAR imagery F Gao, F Ma, J Wang, J Sun, E Yang, H Zhou IEEE Access 6, 1000-1014, 2017 | 66 | 2017 |
Human–robot collaborations in smart manufacturing environments: review and outlook U Othman, E Yang Sensors 23 (12), 5663, 2023 | 64 | 2023 |
Separable recursive gradient algorithm for dynamical systems based on the impulse response signals L Xu, F Ding, E Yang International Journal of Control, Automation and Systems 18 (12), 3167-3177, 2020 | 61 | 2020 |