Chen Jie
Citata da
Citata da
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Energy-efficient ground traversability mapping based on UAV-UGV collaborative system
J Li, Y Cheng, J Zhou, J Chen, Z Liu, S Hu, VCM Leung
IEEE Transactions on Green Communications and Networking 6 (1), 69-78, 2021
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