| On initial conditions in iterative learning control JX Xu, R Yan, YQ Chen 2006 American Control Conference, 6 pp., 2006 | 273 | 2006 |
| Continuous role adaptation for human–robot shared control Y Li, KP Tee, WL Chan, R Yan, Y Chua, DK Limbu IEEE Transactions on Robotics 31 (3), 672-681, 2015 | 182 | 2015 |
| On repetitive learning control for periodic tracking tasks JX Xu, R Yan IEEE Transactions on Automatic Control 51 (11), 1842-1848, 2006 | 135 | 2006 |
| Iterative learning control design without a priori knowledge of the control direction JX Xu, R Yan Automatica 40 (10), 1803-1809, 2004 | 130 | 2004 |
| A framework of human–robot coordination based on game theory and policy iteration Y Li, KP Tee, R Yan, WL Chan, Y Wu IEEE Transactions on Robotics 32 (6), 1408-1418, 2016 | 119 | 2016 |
| A power system nonlinear adaptive decentralized controller design R Yan, ZY Dong, TK Saha, R Majumder Automatica 46 (2), 330-336, 2010 | 108 | 2010 |
| Adaptive admittance control of a robot manipulator under task space constraint KP Tee, R Yan, H Li 2010 IEEE International Conference on Robotics and Automation, 5181-5186, 2010 | 106 | 2010 |
| Automatic subspace learning via principal coefficients embedding X Peng, J Lu, Z Yi, R Yan IEEE transactions on cybernetics 47 (11), 3583-3596, 2016 | 95 | 2016 |
| A spiking neural network system for robust sequence recognition Q Yu, R Yan, H Tang, KC Tan, H Li IEEE transactions on neural networks and learning systems 27 (3), 621-635, 2015 | 92 | 2015 |
| An FPGA implementation of deep spiking neural networks for low-power and fast classification X Ju, B Fang, R Yan, X Xu, H Tang Neural computation 32 (1), 182-204, 2020 | 70 | 2020 |
| Bag of events: An efficient probability-based feature extraction method for AER image sensors X Peng, B Zhao, R Yan, H Tang, Z Yi IEEE transactions on neural networks and learning systems 28 (4), 791-803, 2016 | 61 | 2016 |
| Cognitive navigation by neuro-inspired localization, mapping, and episodic memory H Tang, R Yan, KC Tan IEEE Transactions on Cognitive and Developmental Systems 10 (3), 751-761, 2017 | 56 | 2017 |
| Adaptive and learning control for SI engine model with uncertainties H Tang, L Weng, ZY Dong, R Yan IEEE/ASME Transactions on Mechatronics 14 (1), 93-104, 2009 | 54 | 2009 |
| DA-DSUnet: dual attention-based dense SU-net for automatic head-and-neck tumor segmentation in MRI images P Tang, C Zu, M Hong, R Yan, X Peng, J Xiao, X Wu, J Zhou, L Zhou, ... Neurocomputing 435, 103-113, 2021 | 49 | 2021 |
| An event-driven categorization model for AER image sensors using multispike encoding and learning R Xiao, H Tang, Y Ma, R Yan, G Orchard IEEE transactions on neural networks and learning systems 31 (9), 3649-3657, 2019 | 41 | 2019 |
| Deep spiking neural networks with binary weights for object recognition Y Wang, Y Xu, R Yan, H Tang IEEE Transactions on Cognitive and Developmental Systems 13 (3), 514-523, 2020 | 39 | 2020 |
| Role adaptation of human and robot in collaborative tasks Y Li, KP Tee, WL Chan, R Yan, Y Chua, DK Limbu 2015 IEEE International Conference on Robotics and Automation (ICRA), 5602-5607, 2015 | 39 | 2015 |
| Memory dynamics in attractor networks with saliency weights H Tang, H Li, R Yan Neural Computation 22 (7), 1899-1926, 2010 | 37 | 2010 |
| A brain-inspired SLAM system based on ORB features SC Zhou, R Yan, JX Li, YK Chen, H Tang International Journal of Automation and Computing 14 (5), 564-575, 2017 | 34 | 2017 |
| Cognitive memory and mapping in a brain-like system for robotic navigation H Tang, W Huang, A Narayanamoorthy, R Yan Neural Networks 87, 27-37, 2017 | 33 | 2017 |
Huajin TangZhejiang University, ChinaVerified email at zju.edu.cn
