| Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks M Xia, T Li, L Xu, L Liu, CW De Silva IEEE/ASME transactions on mechatronics 23 (1), 101-110, 2017 | 668 | 2017 |
| A two-stage approach for the remaining useful life prediction of bearings using deep neural networks M Xia, T Li, T Shu, J Wan, CW De Silva, Z Wang IEEE Transactions on Industrial Informatics 15 (6), 3703-3711, 2018 | 259 | 2018 |
| Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder M Xia, T Li, L Liu, L Xu, CW de Silva IET Science, Measurement & Technology 11 (6), 687-695, 2017 | 126 | 2017 |
| Autonomous mobile robot navigation in uneven and unstructured indoor environments C Wang, L Meng, S She, IM Mitchell, T Li, F Tung, W Wan, MQH Meng, ... 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 94 | 2017 |
| Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing M Xia, T Li, Y Zhang, CW De Silva Computer Networks 101, 5-18, 2016 | 78 | 2016 |
| Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes T Li, M Xia, J Chen, Y Zhao, C De Silva Sensors 17 (8), 1735, 2017 | 60 | 2017 |
| Efficient autonomous robotic exploration with semantic road map in indoor environments C Wang, D Zhu, T Li, MQH Meng, CW De Silva IEEE Robotics and Automation Letters 4 (3), 2989-2996, 2019 | 57 | 2019 |
| Attention-based sequence-to-sequence learning for online structural response forecasting under seismic excitation T Li, Y Pan, K Tong, CE Ventura, CW de Silva IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2184-2200, 2021 | 36 | 2021 |
| A multi-scale attention neural network for sensor location selection and nonlinear structural seismic response prediction T Li, Y Pan, K Tong, CE Ventura, CW de Silva Computers & Structures 248, 106507, 2021 | 34 | 2021 |
| Deep reinforced learning tree for spatiotemporal monitoring with mobile robotic wireless sensor networks J Chen, T Shu, T Li, CW de Silva IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4197-4211, 2019 | 33 | 2019 |
| Towards autonomous exploration with information potential field in 3D environments C Wang, L Meng, T Li, CW De Silva, MQH Meng 2017 18th International Conference on Advanced Robotics (ICAR), 340-345, 2017 | 27 | 2017 |
| Coverage Sampling Planner for UAV-enabled Environmental Exploration and Field Mapping T Li, C Wang, MQH Meng, CW de Silva 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 22 | 2019 |
| WSN sampling optimization for signal reconstruction using spatiotemporal autoencoder J Chen, T Li, J Wang, CW de Silva IEEE Sensors Journal 20 (23), 14290-14301, 2020 | 19 | 2020 |
| Remaining Useful Life Prediction of Rotating Machinery using Hierarchical Deep Neural Network M Xia, T Li, L Liu, L Xu, S Gao, CW de Silva Systems, Man and Cybernetics (SMC), 2017 IEEE International Conference on …, 2017 | 18 | 2017 |
| Key-frame selection in WCE video based on shot detection Y Fu, H Liu, Y Cheng, T Yan, T Li, MQH Meng Proceedings of the 10th World Congress on Intelligent Control and Automation …, 2012 | 17 | 2012 |
| Sensor placement and seismic response reconstruction for structural health monitoring using a deep neural network Y Pan, CE Ventura, T Li Bulletin of Earthquake Engineering 20 (9), 4513-4532, 2022 | 14 | 2022 |
| Attention-driven active sensing with hybrid neural network for environmental field mapping T Li, C Wang, MQH Meng, CW de Silva IEEE Transactions on Automation Science and Engineering 19 (3), 2135-2152, 2021 | 14 | 2021 |
| A Hexagonal Grid-based Sampling Planner for Aquatic Environmental Monitoring using Unmanned Surface Vehicles T Li, M Xia, J Chen, S Gao, C de Silva Systems, Man and Cybernetics (SMC), 2017 IEEE International Conference on …, 2017 | 14 | 2017 |
| Rapidly-exploring tree with linear reduction: A near-optimal approach for spatiotemporal sensor deployment in aquatic fields using minimal sensor nodes J Chen, T Li, T Shu, CW De Silva IEEE Sensors Journal 18 (24), 10225-10239, 2018 | 12 | 2018 |
| Efficient mobile robot exploration with Gaussian Markov random fields in 3D environments C Wang, T Li, MQH Meng, C De Silva 2018 IEEE International Conference on Robotics and Automation (ICRA), 5015-5021, 2018 | 9 | 2018 |
Clarence de SilvaProfessor of Mechanical Engineering, The University of British ColumbiaVerified email at mech.ubc.ca
