Autonomic mobile sensor network with self-coordinated task allocation and execution von Kian Hsiang Low, Leow, W.K., Ang, M.H.

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Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems von Jie Chen, Kian Hsiang Low, Yujian Yao, Jaillet, Patrick

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Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception von Ouyang, Ruofei, Low, Bryan Kian Hsiang

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Telesupervised remote surface water quality sensing von Podnar, Gregg, Dolan, John M, Kian Hsiang Low, Elfes, Alberto

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Pruning during training by network efficacy modeling von Rajpal, Mohit, Zhang, Yehong, Low, Bryan Kian Hsiang

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An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks von Low, Kian Hsiang, Leow, Wee Kheng, Ang, Marcelo H.

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Recursive reasoning-based training-time adversarial machine learning von Chen, Yizhou, Dai, Zhongxiang, Yu, Haibin, Low, Bryan Kian Hsiang, Ho, Teck-Hua

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Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten von Nguyen, Quoc Phong, Oikawa, Ryutaro, Dinil Mon Divakaran, Mun Choon Chan, Bryan Kian Hsiang Low

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Decision-theoretic coordination and control for active multi-camera surveillance in uncertain, partially observable environments von Natarajan, P., Trong Nghia Hoang, Kian Hsiang Low, Kankanhalli, M.

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Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents von Jiangbo Yu, Kian Hsiang Low, Oran, A., Jaillet, P.

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Continuous-spaced action selection for single- and multi-robot tasks using cooperative extended Kohonen maps von Kian Hsiang Low, Wee Kheng Leow, Ang, M.H.

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Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes von Hoang, Trong Nghia, Low, Kian Hsiang, Jaillet, Patrick, Kankanhalli, Mohan

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Federated Bayesian Optimization via Thompson Sampling von Dai, Zhongxiang, Low, Kian Hsiang, Jaillet, Patrick

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Adaptive Sampling for Multi-Robot Wide-Area Exploration von Kian Hsiang Low, Gordon, G.J., Dolan, J.M., Khosla, P.

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Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization von Low, Kian Hsiang, Xu, Nuo, Chen, Jie, Lim, Keng Kiat, Özgül, Etkin Bariş

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Understanding Domain Generalization: A Noise Robustness Perspective von Qiao, Rui, Bryan Kian Hsiang Low

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Decentralized Sum-of-Nonconvex Optimization von Liu, Zhuanghua, Bryan Kian Hsiang Low

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Decentralized Sum-of-Nonconvex Optimization von Liu, Zhuanghua, Low, Bryan Kian Hsiang

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Understanding Domain Generalization: A Noise Robustness Perspective von Qiao, Rui, Low, Bryan Kian Hsiang

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Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data von Low, Kian Hsiang, Chen, Jie, Hoang, Trong Nghia, Xu, Nuo, Jaillet, Patrick

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