Segui
Bryan Kian Hsiang Low
Bryan Kian Hsiang Low
Associate Professor (with tenure), Department of Computer Science, National University of Singapore
Email verificata su comp.nus.edu.sg - Home page
Titolo
Citata da
Citata da
Anno
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
183*2019
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
1372013
Adaptive multi-robot wide-area exploration and mapping
KH Low, JM Dolan, P Khosla
7th International Conference on Autonomous Agents and Multiagent Systems …, 2008
1372008
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
1332020
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
1262015
Federated Bayesian Optimization via Thompson Sampling
Z Dai, KH Low, P Jaillet
Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020
1152020
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
1082014
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
1082009
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
1052011
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
1042015
Variational Bayesian Unlearning
QP Nguyen, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020
1002020
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
872006
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
772004
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
752016
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
752012
Information-based multi-fidelity Bayesian optimization
Y Zhang, TN Hoang, BKH Low, M Kankanhalli
NIPS Workshop on Bayesian Optimization, 2017
742017
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
722012
Gradient driven rewards to guarantee fairness in collaborative machine learning
X Xu, L Lyu, X Ma, C Miao, CS Foo, BKH Low
Advances in Neural Information Processing Systems 34: 35th Annual Conference …, 2021
702021
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
682013
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