Bryan Kian Hsiang Low

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

Bryan Kian Hsiang Low

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

Verified email at comp.nus.edu.sg - Homepage

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


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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	225*	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	147	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	142	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	130	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
Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks T Liu, BKH Low arXiv preprint arXiv:2305.14201, 2023	96	2023
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	94	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	91	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
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
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	83	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	78	2021

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