Low, Kian Hsiang

17 publications

AAAI 2019 Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How

AAAI 2018 Decentralized High-Dimensional Bayesian Optimization with Factor Graphs Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low

AAAI 2018 Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception Ruofei Ouyang, Kian Hsiang Low

AAAI 2017 A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low

IJCAI 2016 DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua

AAAI 2016 Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet

AAAI 2016 Near-Optimal Active Learning of Multi-Output Gaussian Processes Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli

AAAI 2015 Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet

ECML-PKDD 2014 Active Learning Is Planning: Nonmyopic Ε-Bayes-Optimal Active Learning of Gaussian Processes Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli

AAAI 2014 GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul

ECML-PKDD 2014 Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Baris Özgül

IJCAI 2013 A General Framework for Interacting Bayes-Optimally with Self-Interested Agents Using Arbitrary Parametric Model and Model Prior Trong Nghia Hoang, Kian Hsiang Low

IJCAI 2013 Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents Trong Nghia Hoang, Kian Hsiang Low

UAI 2013 Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet

UAI 2012 Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme

AAAI 2004 Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.

IJCAI 2003 Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.