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Bryan Kian Hsiang Low
Bryan Kian Hsiang Low
Associate Professor (with tenure), Department of Computer Science, National University of Singapore
Verified email at comp.nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Adaptive multi-robot wide-area exploration and mapping
KH Low, JM Dolan, P Khosla
7th International Conference on Autonomous Agents and Multiagent Systems …, 2008
1322008
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
1112015
Multi-robot informative path planning for active sensing of environmental phenomena: A tale of two algorithms
N Cao, KH Low, JM Dolan
12th International Conference on Autonomous Agents and Multiagent Systems …, 2013
1112013
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
QP Nguyen, KW Lim, DM Divakaran, KH Low, MC Chan
IEEE Conference on Communications and Network Security (CNS'19), 91-99, 2019
104*2019
Information-theoretic approach to efficient adaptive path planning for mobile robotic environmental sensing
KH Low, JM Dolan, P Khosla
19th International Conference on Automated Planning and Scheduling (ICAPS-09 …, 2009
1022009
Multi-Robot Active Sensing of Non-Stationary Gaussian Process-Based Environmental Phenomena
R Ouyang, KH Low, J Chen, P Jaillet
13th International Conference on Autonomous Agents and Multiagent Systems …, 2014
942014
A hybrid mobile robot architecture with integrated planning and control
KH Low, WK Leow, MH Ang Jr
First International Joint Conference on Autonomous Agents and Multiagent …, 2002
912002
Autonomic mobile sensor network with self-coordinated task allocation and execution
KH Low, WK Leow, MH Ang Jr
IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications …, 2006
892006
Autonomous personal vehicle for the first-and last-mile transportation services
ZJ Chong, B Qin, T Bandyopadhyay, T Wongpiromsarn, ES Rankin, ...
5th IEEE International Conference on Cybernetics and Intelligent Systems and …, 2011
852011
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data
TN Hoang, QM Hoang, KH Low
32nd International Conference on Machine Learning (ICML-15), 569-578, 2015
802015
Task allocation via self-organizing swarm coalitions in distributed mobile sensor network
KH Low, WK Leow, MH Ang Jr
19th National Conference on Artificial Intelligence (AAAI-04), 28-33, 2004
802004
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
28th Conference on Uncertainty in Artificial Intelligence (UAI-12), 163-173, 2012
712012
Decentralized Active Robotic Exploration and Mapping for Probabilistic Field Classification in Environmental Sensing
KH Low, J Chen, JM Dolan, S Chien, DR Thompson
11th International Conference on Autonomous Agents and Multiagent Systems …, 2012
662012
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond
CK Ling, KH Low, P Jaillet
30th AAAI Conference on Artificial Intelligence (AAAI-16), 1860-1866, 2016
642016
Active Markov information-theoretic path planning for robotic environmental sensing
KH Low, JM Dolan, P Khosla
10th International Conference on Autonomous Agents and Multiagent Systems …, 2011
642011
Nonmyopic ∈-Bayes-Optimal Active Learning of Gaussian Processes
TN Hoang, KH Low, P Jaillet, M Kankanhalli
31st International Conference on Machine Learning (ICML-14), 739-747, 2014
57*2014
Parallel Gaussian process regression with low-rank covariance matrix approximations
J Chen, N Cao, KH Low, R Ouyang, CKY Tan, P Jaillet
29th Conference on Uncertainty in Artificial Intelligence (UAI-13), 152-161, 2013
572013
GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model
N Xu, KH Low, J Chen, KK Lim, EB Ozgul
28th AAAI Conference on Artificial Intelligence (AAAI-14), 2585-2592, 2014
552014
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation
KH Low, J Yu, J Chen, P Jaillet
29th AAAI Conference on Artificial Intelligence (AAAI-15), 2821-2827, 2015
532015
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models
TN Hoang, QM Hoang, BKH Low
33rd International Conference on Machine Learning (ICML-16), 382-391, 2016
502016
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