Chen Jie
Cited by
Cited by
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
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
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
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
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, EB Ozgul
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
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
Parallel Gaussian process regression for big data: Low-rank representation meets Markov approximation
KH Low, J Yu, J Chen, P Jaillet
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Recent advances in scaling up Gaussian process predictive models for large spatiotemporal data
KH Low, J Chen, TN Hoang, N Xu, P Jaillet
International Conference on Dynamic Data-Driven Environmental Systems …, 2014
Generalized online sparse Gaussian processes with application to persistent mobile robot localization
KH Low, N Xu, J Chen, KK Lim, EB Özgül
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
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