| Gaussian process decentralized data fusion and active sensing for spatiotemporal traffic modeling and prediction in mobility-on-demand systems J Chen, KH Low, Y Yao, P Jaillet IEEE Transactions on Automation Science and Engineering 12 (3), 901-921, 2015 | 126 | 2015 |
| Multi-robot active sensing of non-stationary Gaussian process-based environmental phenomena R Ouyang, KH Low, J Chen, P Jaillet Association for Computing Machinery (ACM), 2014 | 111 | 2014 |
| Decentralized data fusion and active sensing with mobile sensors for modeling and predicting spatiotemporal traffic phenomena J Chen, KH Low, CKY Tan, A Oran, P Jaillet, JM Dolan, GS Sukhatme arXiv preprint arXiv:1206.6230, 2012 | 75 | 2012 |
| Decentralized active robotic exploration and mapping for probabilistic field classification in environmental sensing KH Low, J Chen, JM Dolan, S Chien, DR Thompson Proceedings of the 11th International Conference on Autonomous Agents and …, 2012 | 73 | 2012 |
| Parallel Gaussian process regression with low-rank covariance matrix approximations J Chen, N Cao, KH Low, R Ouyang, CKY Tan, P Jaillet arXiv preprint arXiv:1305.5826, 2013 | 68 | 2013 |
| GP-Localize: Persistent mobile robot localization using online sparse Gaussian process observation model N Xu, KH Low, J Chen, KK Lim, E Ozgul Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 67 | 2014 |
| A memetic path planning algorithm for unmanned air/ground vehicle cooperative detection systems J Li, T Sun, X Huang, L Ma, Q Lin, J Chen, VCM Leung IEEE Transactions on Automation Science and Engineering 19 (4), 2724-2737, 2021 | 58 | 2021 |
| Parallel Gaussian process regression for big data: Low-rank representation meets Markov approximation KH Low, J Yu, J Chen, P Jaillet Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 56 | 2015 |
| Gaussian process-based decentralized data fusion and active sensing for mobility-on-demand system J Chen, KH Low, CKY Tan arXiv preprint arXiv:1306.1491, 2013 | 53 | 2013 |
| Stroke risk prediction with hybrid deep transfer learning framework J Chen, Y Chen, J Li, J Wang, Z Lin, AK Nandi IEEE Journal of Biomedical and Health Informatics 26 (1), 411-422, 2021 | 33 | 2021 |
| Scalable variational Bayesian kernel selection for sparse Gaussian process regression T Teng, J Chen, Y Zhang, BKH Low Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5997-6004, 2020 | 31 | 2020 |
| Explainable CNN with fuzzy tree regularization for respiratory sound analysis J Li, C Wang, J Chen, H Zhang, Y Dai, L Wang, L Wang, AK Nandi IEEE Transactions on Fuzzy Systems 30 (6), 1516-1528, 2022 | 28 | 2022 |
| Geometry-aware guided loss for deep crack recognition Z Chen, J Zhang, Z Lai, J Chen, Z Liu, J Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| Recent advances in scaling up Gaussian process predictive models for large spatiotemporal data KH Low, J Chen, TN Hoang, N Xu, P Jaillet Dynamic Data-Driven Environmental Systems Science: First International …, 2015 | 22 | 2015 |
| Generalized online sparse Gaussian processes with application to persistent mobile robot localization KH Low, N Xu, J Chen, KK Lim, EB Özgül Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 22 | 2014 |
| When active learning meets implicit semantic data augmentation Z Chen, J Zhang, P Wang, J Chen, J Li European Conference on Computer Vision, 56-72, 2022 | 16 | 2022 |
| The devil is in the crack orientation: A new perspective for crack detection Z Chen, J Zhang, Z Lai, G Zhu, Z Liu, J Chen, J Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| CSG: Classifier-aware defense strategy based on compressive sensing and generative networks for visual recognition in autonomous vehicle systems J Wang, W Su, C Luo, J Chen, H Song, J Li IEEE Transactions on Intelligent Transportation Systems 23 (7), 9543-9553, 2022 | 14 | 2022 |
| Diversity-sensitive generative adversarial network for terrain mapping under limited human intervention J Li, Z Chen, J Chen, Q Lin IEEE Transactions on Cybernetics 51 (12), 6029-6040, 2020 | 14 | 2020 |
| GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions ZH Du, YH Wu, YA Huang, J Chen, GQ Pan, L Hu, ZH You, JQ Li Briefings in Bioinformatics 23 (3), bbac148, 2022 | 12 | 2022 |