Bryan Kian Hsiang Low

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

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Bryan Kian Hsiang Low

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

Email confirmado em comp.nus.edu.sg - Página inicial

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


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	224*	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	179	2020
Variational Bayesian Unlearning QP Nguyen, BKH Low, P Jaillet Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020	146	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	143	2008
Federated Bayesian Optimization via Thompson Sampling Z Dai, KH Low, P Jaillet Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020	140	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	117	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	114	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
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	93	2021
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
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	86	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
Validation free and replication robust volume-based data valuation X Xu, Z Wu, CS Foo, BKH Low Advances in Neural Information Processing Systems 34: 35th Annual Conference …, 2021	77	2021

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