| Mobile sensor network navigation using Gaussian processes with truncated observations Y Xu, J Choi, S Oh IEEE Transactions on Robotics 27 (6), 1118-1131, 2011 | 136 | 2011 |
| Adaptive sampling for learning Gaussian processes using mobile sensor networks Y Xu, J Choi Sensors 11 (3), 3051-3066, 2011 | 100 | 2011 |
| Gaussian process regression for sensor networks under localization uncertainty M Jadaliha, Y Xu, J Choi, NS Johnson, W Li IEEE Transactions on Signal Processing 61 (2), 223-237, 2012 | 78 | 2012 |
| Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields Y Xu, J Choi, S Dass, T Maiti Automatica 49 (12), 3520-3530, 2013 | 64 | 2013 |
| Sequential Bayesian prediction and adaptive sampling algorithms for mobile sensor networks Y Xu, J Choi, S Dass, T Maiti IEEE Transactions on Automatic Control 57 (8), 2078-2084, 2011 | 58 | 2011 |
| Bayesian prediction and adaptive sampling algorithms for mobile sensor networks: Online environmental field reconstruction in space and time Y Xu, J Choi, S Dass, T Maiti Springer, 2015 | 44 | 2015 |
| Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields Y Xu, J Choi Automatica 48 (8), 1735-1740, 2012 | 38 | 2012 |
| Optimal control of the spine system Y Xu, J Choi, NP Reeves, J Cholewicki | 28 | 2010 |
| Explorative navigation of mobile sensor networks using sparse Gaussian processes S Oh, Y Xu, J Choi 49th IEEE Conference on Decision and Control (CDC), 3851-3856, 2010 | 20 | 2010 |
| Mobile sensor networks for learning anisotropic gaussian processes Y Xu, J Choi 2009 American Control Conference, 5049-5054, 2009 | 15 | 2009 |
| A nonlinear magnetic and torsional spring coupling piezoelectric energy harvester with internal resonance W Lin, Y Xu, S Wang, Z Chen, Z Xie, W Huang Smart Materials and Structures 31 (11), 115007, 2022 | 14 | 2022 |
| Lamb-Waves-Based Sparse Distributed Penetrating Communication via Phase-Position Modulation for Enclosed Metal Structures Y Xu, Q Li, W Lin, Q Wu, W Huang, X Ding IEEE Transactions on Industrial Informatics 19 (12), 11418-11429, 2023 | 11 | 2023 |
| Bayesian prediction and adaptive sampling algorithms for mobile sensor networks Y Xu, J Choi, S Dass, T Maiti Proceedings of the 2011 American Control Conference, 4195-4200, 2011 | 11 | 2011 |
| Efficient spatial prediction using gaussian markov random fields under uncertain localization M Jadaliha, Y Xu, J Choi Dynamic Systems and Control Conference 45318, 253-262, 2012 | 9 | 2012 |
| Stochastic adaptive sampling for mobile sensor networks using kernel regression Y Xu, J Choi International Journal of Control, Automation and Systems 10 (4), 778-786, 2012 | 9 | 2012 |
| Gaussian process regression using Laplace approximations under localization uncertainty M Jadaliha, Y Xu, J Choi 2012 American Control Conference (ACC), 1394-1399, 2012 | 6 | 2012 |
| Fully bayesian prediction algorithms for mobile robotic sensors under uncertain localization using gaussian markov random fields M Jadaliha, J Jeong, Y Xu, J Choi, J Kim Sensors 18 (9), 2866, 2018 | 3 | 2018 |
| Introduction: Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks Y Xu, J Choi, S Dass, T Maiti Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor …, 2016 | 3 | 2016 |
| Navigation strategies for swarm intelligence using spatio-temproal gaussian processes J Choi, J Lee, Y Xu, S Oh Neural Computing and Applications, accepted with minor revision, 2009 | 3 | 2009 |
| A unified Bayesian approach for prediction and detection using mobile sensor networks Y Xu, J Choi, S Dass, T Maiti 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 1180-1185, 2012 | 1 | 2012 |
