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Bryan Kian Hsiang Low
Bryan Kian Hsiang Low
Associate Professor (with tenure), Department of Computer Science, National University of Singapore
Bestätigte E-Mail-Adresse bei comp.nus.edu.sg - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
163*2019
Adaptive multi-robot wide-area exploration and mapping
KH Low, JM Dolan, P Khosla
7th International Conference on Autonomous Agents and Multiagent Systems …, 2008
1402008
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
1342013
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
1232015
Collaborative Machine Learning with Incentive-Aware Model Rewards
RHL Sim, Y Zhang, MC Chan, BKH Low
37th International Conference on Machine Learning (ICML-20), 8927-8936, 2020
1112020
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
1102009
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
1052014
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
1032011
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
992015
Federated Bayesian Optimization via Thompson Sampling
Z Dai, KH Low, P Jaillet
Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020
972020
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
Variational Bayesian Unlearning
QP Nguyen, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020
762020
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
762012
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
762004
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
742012
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
722016
Information-based multi-fidelity Bayesian optimization
Y Zhang, TN Hoang, BKH Low, M Kankanhalli
NIPS Workshop on Bayesian Optimization, 2017
692017
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
672011
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
652013
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