Bryan Kian Hsiang Low

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	Wszystkie	Od 2020
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h-indeks	44	34
i10-indeks	101	85

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Patrick JailletDugald C. Jackson Professor, EECS, MITZweryfikowany adres z mit.edu
Zhongxiang DaiAssistant Professor, The Chinese University of Hong Kong, ShenzhenZweryfikowany adres z cuhk.edu.cn
Trong Nghia HoangAssistant Professor, Washington State UniversityZweryfikowany adres z wsu.edu
Xinyi XuPh.D. student, Department of Computer Science, National University of SingaporeZweryfikowany adres z u.nus.edu
John M. DolanThe Robotics Institute, Carnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Yao SHU (舒瑶)Incoming Assistant Professor, AI Thrust, HKUST (GZ)Zweryfikowany adres z gml.ac.cn
Quoc Phong NguyenA2I2 - Deakin UniversityZweryfikowany adres z deakin.edu.au
Chen JieShenzhen UniversityZweryfikowany adres z szu.edu.cn
Zhaoxuan WuNational University of SingaporeZweryfikowany adres z u.nus.edu
Marcelo AngNational University of SingaporeZweryfikowany adres z nus.edu.sg
Yehong ZhangPengcheng LaboratoryZweryfikowany adres z pcl.ac.cn
Chuan-Sheng FooInstitute for Infocomm Research; A*STAR Centre for Frontier AI ResearchZweryfikowany adres z cs.stanford.edu
Rachael Sim Hwee LingPh.D. candidate, Department of Computer Science, National University of SingaporeZweryfikowany adres z u.nus.edu
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeZweryfikowany adres z nus.edu.sg
Wee Kheng LeowNational University of SingaporeZweryfikowany adres z comp.nus.edu.sg
Mohan KankanhalliProfessor of Computer Science, National University of SingaporeZweryfikowany adres z comp.nus.edu.sg
Xiaoqiang LinNational University of SingaporeZweryfikowany adres z u.nus.edu
Quang Minh HoangCarnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
pradeep k. khoslaChancellor, UC San DiegoZweryfikowany adres z ucsd.edu
Arun VermaSingapore-MIT Alliance for Research and TechnologyZweryfikowany adres z mit.edu

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Bryan Kian Hsiang Low

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

Zweryfikowany adres z comp.nus.edu.sg - Strona główna

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


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	222*	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	174	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	143	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
Variational Bayesian Unlearning QP Nguyen, BKH Low, P Jaillet Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020	141	2020
Federated Bayesian Optimization via Thompson Sampling Z Dai, KH Low, P Jaillet Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020	139	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	129	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	113	2009
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	110	2011
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	109	2015
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
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	89	2021
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	89	2021
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	89	2006
Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks T Liu, BKH Low arXiv preprint arXiv:2305.14201, 2023	82	2023
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	82	2016
Information-based multi-fidelity Bayesian optimization Y Zhang, TN Hoang, BKH Low, M Kankanhalli NIPS Workshop on Bayesian Optimization, 2017	81	2017
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	81	2004
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	76	2012

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