AbolDeepIO: A novel deep inertial odometry network for autonomous vehicles MA Esfahani, H Wang, K Wu, S Yuan IEEE Transactions on Intelligent Transportation Systems 21 (5), 1941-1950, 2019 | 108 | 2019 |
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction R Jin, Z Chen, K Wu, M Wu, X Li, R Yan IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 107 | 2022 |
OriNet: Robust 3-D Orientation Estimation With a Single Particular IMU MA Esfahani, H Wang, K Wu, S Yuan IEEE Robotics and Automation Letters 5 (2), 399-406, 2019 | 97 | 2019 |
Simultaneous Hand–Eye, Tool–Flange, and Robot–Robot Calibration for Comanipulation by Solving theProblem L Wu, J Wang, L Qi, K Wu, H Ren, MQH Meng IEEE TRansactions on robotics 32 (2), 413-428, 2016 | 97 | 2016 |
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction Q Xu, Z Chen, K Wu, C Wang, M Wu, X Li IEEE Transactions on Industrial Electronics 69 (2), 2022-2032, 2021 | 94 | 2021 |
Development of a compact continuum tubular robotic system for nasopharyngeal biopsy L Wu, S Song, K Wu, CM Lim, H Ren Medical & biological engineering & computing 55, 403-417, 2017 | 81 | 2017 |
TDPP-Net: Achieving three-dimensional path planning via a deep neural network architecture K Wu, MA Esfahani, S Yuan, H Wang Neurocomputing 357, 151-162, 2019 | 56 | 2019 |
Development of a multi-channel concentric tube robotic system with active vision for transnasal nasopharyngeal carcinoma procedures H Yu, L Wu, K Wu, H Ren IEEE Robotics and Automation Letters 1 (2), 1172-1178, 2016 | 55 | 2016 |
Bnd*-ddqn: Learn to steer autonomously through deep reinforcement learning K Wu, H Wang, MA Esfahani, S Yuan IEEE Transactions on Cognitive and Developmental Systems 13 (2), 249-261, 2019 | 50 | 2019 |
Achieving real-time path planning in unknown environments through deep neural networks K Wu, H Wang, MA Esfahani, S Yuan IEEE Transactions on Intelligent Transportation Systems 23 (3), 2093-2102, 2020 | 46 | 2020 |
Learn to Navigate Autonomously Through Deep Reinforcement Learning K Wu, H Wang, MA Esfahani, S Yuan IEEE Transactions on Industrial Electronics 69 (5), 5342-5352, 2021 | 45 | 2021 |
Safety-enhanced model-free visual servoing for continuum tubular robots through singularity avoidance in confined environments K Wu, G Zhu, L Wu, W Gao, S Song, CM Lim, H Ren IEEE Access 7, 21539-21558, 2019 | 43 | 2019 |
Learn to steer through deep reinforcement learning K Wu, M Abolfazli Esfahani, S Yuan, H Wang Sensors 18 (11), 3650, 2018 | 43 | 2018 |
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction R Jin, M Wu, K Wu, K Gao, Z Chen, X Li IEEE/CAA Journal of Automatica Sinica 9 (8), 1427-1439, 2022 | 41 | 2022 |
Source-free video domain adaptation by learning temporal consistency for action recognition Y Xu, J Yang, H Cao, K Wu, M Wu, Z Chen European Conference on Computer Vision, 147-164, 2022 | 40 | 2022 |
An image based targeting method to guide a tentacle-like curvilinear concentric tube robot K Wu, L Wu, H Ren 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014 …, 2014 | 31 | 2014 |
Motion planning of continuum tubular robots based on centerlines extracted from statistical atlas K Wu, L Wu, H Ren 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 30 | 2015 |
Towards hybrid control of a flexible curvilinear surgical robot with visual/haptic guidance L Wu, K Wu, H Ren 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 21 | 2016 |
Model-free image guidance for intelligent tubular robots with pre-clinical feasibility study: towards minimally invasive trans-orifice surgery K Wu, L Wu, CM Lim, H Ren 2015 IEEE International Conference on Information and Automation, 749-754, 2015 | 21 | 2015 |
Multi-source video domain adaptation with temporal attentive moment alignment network Y Xu, J Yang, H Cao, K Wu, M Wu, Z Li, Z Chen IEEE Transactions on Circuits and Systems for Video Technology 33 (8), 3860-3871, 2023 | 18 | 2023 |