Bryan Kian Hsiang Low

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Patrick JailletDugald C. Jackson Professor, EECS, MITDirección de correo verificada de mit.edu
Zhongxiang DaiAssistant Professor, The Chinese University of Hong Kong, ShenzhenDirección de correo verificada de cuhk.edu.cn
Trong Nghia HoangAssistant Professor, Washington State UniversityDirección de correo verificada de wsu.edu
John M. DolanThe Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Xinyi XuPh.D. student, Department of Computer Science, National University of SingaporeDirección de correo verificada de u.nus.edu
Yao SHU (舒瑶)Guangdong Lab of AI and Digital Economy (SZ)Dirección de correo verificada de gml.ac.cn
Quoc Phong NguyenA2I2 - Deakin UniversityDirección de correo verificada de deakin.edu.au
Chen JieShenzhen UniversityDirección de correo verificada de szu.edu.cn
Zhaoxuan WuNational University of SingaporeDirección de correo verificada de u.nus.edu
Marcelo AngNational University of SingaporeDirección de correo verificada de nus.edu.sg
Yehong ZhangPengcheng LaboratoryDirección de correo verificada de pcl.ac.cn
Chuan-Sheng FooInstitute for Infocomm Research; A*STAR Centre for Frontier AI ResearchDirección de correo verificada de cs.stanford.edu
Rachael Sim Hwee LingPh.D. candidate, Department of Computer Science, National University of SingaporeDirección de correo verificada de u.nus.edu
Wee Kheng LeowNational University of SingaporeDirección de correo verificada de comp.nus.edu.sg
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeDirección de correo verificada de nus.edu.sg
Mohan KankanhalliProfessor of Computer Science, National University of SingaporeDirección de correo verificada de comp.nus.edu.sg
Xiaoqiang LinNational University of SingaporeDirección de correo verificada de u.nus.edu
Quang Minh HoangCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
pradeep k. khoslaChancellor, UC San DiegoDirección de correo verificada de ucsd.edu
Arun VermaSingapore-MIT Alliance for Research and TechnologyDirección de correo verificada de mit.edu

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Bryan Kian Hsiang Low

Associate Professor (with tenure), Department of Computer Science, National University of Singapore

Dirección de correo verificada de comp.nus.edu.sg - Página principal

Bayesian Optimization Gaussian Processes Federated Learning Data-centric AI Data Valuation


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	218*	2019
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	171	2020
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	145	2013
Adaptive multi-robot wide-area exploration and mapping KH Low, JM Dolan, P Khosla 7th International Conference on Autonomous Agents and Multiagent Systems …, 2008	142	2008
Federated Bayesian Optimization via Thompson Sampling Z Dai, KH Low, P Jaillet Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020	136	2020
Variational Bayesian Unlearning QP Nguyen, BKH Low, P Jaillet Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020	133	2020
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	126	2015
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	113	2014
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	112	2009
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	110	2015
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	109	2011
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	91	2002
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	88	2006
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee FX Fan, Y Ma, Z Dai, W Jing, C Tan, BKH Low Advances in Neural Information Processing Systems 34: 35th Annual Conference …, 2021	87	2021
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	85	2021
Information-based multi-fidelity Bayesian optimization Y Zhang, TN Hoang, BKH Low, M Kankanhalli NIPS Workshop on Bayesian Optimization, 2017	80	2017
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	80	2016
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	77	2004
Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks T Liu, BKH Low arXiv preprint arXiv:2305.14201, 2023	75	2023
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	75	2012

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