| An energy-efficient dual prediction scheme using LMS filter and LSTM in wireless sensor networks for environment monitoring T Shu, J Chen, VK Bhargava, CW de Silva IEEE Internet of Things Journal 6 (4), 6736-6747, 2019 | 65 | 2019 |
| 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 | 55 | 2017 |
| Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment J Wang, J Chen, J Lin, L Sigal, CW de Silva Pattern Recognition 116, 107943, 2021 | 51 | 2021 |
| An energy efficient adaptive sampling algorithm in a sensor network for automated water quality monitoring T Shu, M Xia, J Chen, C De Silva Sensors 17 (11), 2551, 2017 | 42 | 2017 |
| Unsupervised cross-domain fault diagnosis using feature representation alignment networks for rotating machinery J Chen, J Wang, J Zhu, TH Lee, CW de Silva IEEE/ASME Transactions on Mechatronics 26 (5), 2770-2781, 2020 | 41 | 2020 |
| 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 | 30 | 2019 |
| A K-means clustering with optimized initial center based on Hadoop platform K Lin, X Li, Z Zhang, J Chen 2014 9th International Conference on Computer Science & Education, 263-266, 2014 | 28 | 2014 |
| 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 | 14 | 2020 |
| 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 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 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 | 11 | 2018 |
| Mutual variational inference: An indirect variational inference approach for unsupervised domain adaptation J Chen, J Wang, CW de Silva IEEE Transactions on Cybernetics 52 (11), 11491-11503, 2021 | 8 | 2021 |
| L2-norm shapelet dictionary learning-based bearing-fault diagnosis in uncertain working conditions J Zhang, X Song, L Gao, W Shen, J Chen IEEE Sensors Journal 22 (3), 2647-2657, 2021 | 7 | 2021 |
| Gaussian-guided feature alignment for unsupervised cross-subject adaptation K Zhang, J Chen, J Wang, Y Leng, CW de Silva, C Fu Pattern Recognition 122, 108332, 2022 | 6 | 2022 |
| Preserving domain private information via mutual information maximization J Chen, J Wang, W Lin, K Zhang, CW de Silva Neural Networks 172, 106112, 2024 | 5* | 2024 |
| WSN optimization for sampling-based signal estimation using semi-binarized variational autoencoder J Chen, J Wang, T Shu, CW de Silva Information Sciences 587, 188-205, 2022 | 4 | 2022 |
| Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation K Zhang, J Chen, J Wang, X Chen, Y Leng, CW de Silva, C Fu Information Fusion 93, 268-281, 2023 | 2 | 2023 |
| Training feedforward neural nets in Hopfield-energy-based configuration: A two-step approach J Wang, J Chen, K Zhang, L Sigal Pattern Recognition 145, 109954, 2024 | 1 | 2024 |
| Data-driven Sensor Deployment for Spatiotemporal Field Reconstruction J Chen Instrumentation 6 (3), 28-38, 2019 | 1 | 2019 |
| UBCourse Vis J Chen, H Siyuan | 1 | 2017 |
| Closing the Simulation-to-Reality Gap for Digital Twin-Assisted Fault Diagnosis: Sim2real Knowledge Transfer with Contrastive Learning J Chen, K Zhang, J Wang, W Shen Available at SSRN 4699149, 0 | | |
Clarence de SilvaProfessor of Mechanical Engineering, The University of British ColumbiaПодтвержден адрес электронной почты в домене mech.ubc.ca
