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Kian Hsiang Low
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Publications
- 2020
- [c67]Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low:
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. AAAI 2020: 5997-6004 - 2019
- [i23]Tong Teng, Jie Chen, Yehong Zhang, Kian Hsiang Low:
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. CoRR abs/1912.02641 (2019) - 2015
- [j5]Jie Chen, Kian Hsiang Low, Yujian Yao, Patrick Jaillet:
Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems. IEEE Trans Autom. Sci. Eng. 12(3): 901-921 (2015) - [c39]Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet:
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. AAAI 2015: 2821-2827 - 2014
- [c36]Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul:
GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model. AAAI 2014: 2585-2593 - [c34]Ruofei Ouyang, Kian Hsiang Low, Jie Chen, Patrick Jaillet:
Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena. AAMAS 2014: 573-580 - [c32]Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu, Patrick Jaillet:
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data. DyDESS 2014: 167-181 - [c27]Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Baris Özgül:
Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization. ECML/PKDD (3) 2014: 499-503 - [i13]Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul:
GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model. CoRR abs/1404.5165 (2014) - [i12]Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme:
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. CoRR abs/1408.2046 (2014) - [i11]Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet:
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. CoRR abs/1408.2060 (2014) - [i10]Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet:
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. CoRR abs/1411.4510 (2014) - 2013
- [c22]Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan:
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System. Robotics: Science and Systems 2013 - [c21]Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet:
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. UAI 2013 - [i6]Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet:
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. CoRR abs/1305.5826 (2013) - [i4]Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan:
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System. CoRR abs/1306.1491 (2013) - 2012
- [c20]Kian Hsiang Low, Jie Chen, John M. Dolan, Steve A. Chien, David R. Thompson:
Decentralized active robotic exploration and mapping for probabilistic field classification in environmental sensing. AAMAS 2012: 105-112 - [c15]Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme:
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. UAI 2012: 163-173 - [i3]Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme:
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. CoRR abs/1206.6230 (2012)
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