Kian Hsiang Low

84 papers A* 22A 13C 1Journal 37Unranked 11

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Probably Approximate Shapley Fairness with Applications in Machine Learning. CoRR Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Kian Hsiang Low
2020	J	`jnl`	Federated Bayesian Optimization via Thompson Sampling. CoRR Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
2020	J	`jnl`	Nonmyopic Gaussian Process Optimization with Macro-Actions. CoRR Dmitrii Kharkovskii, Chun Kai Ling, Kian Hsiang Low
2020	J	`jnl`	R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games. CoRR Zhongxiang Dai, Yizhou Chen, Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho
2019	J	`jnl`	Bayesian Optimization with Binary Auxiliary Information. CoRR Yehong Zhang, Zhongxiang Dai, Kian Hsiang Low
2019	A*	`conf`	Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. AAAI Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How
2019	—	`conf`	GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CNS Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan
2019	J	`jnl`	GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CoRR Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan
2019	J	`jnl`	Implicit Posterior Variational Inference for Deep Gaussian Processes. CoRR Haibin Yu, Yizhou Chen, Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
2019	J	`jnl`	Inverse Reinforcement Learning with Missing Data. CoRR Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
2019	J	`jnl`	Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. CoRR Tong Teng, Jie Chen, Yehong Zhang, Kian Hsiang Low
2019	J	`jnl`	Towards Robust ResNet: A Small Step but A Giant Leap. CoRR Jingfeng Zhang, Bo Han, Laura Wynter, Kian Hsiang Low, Mohan S. Kankanhalli
2018	J	`jnl`	Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems. CoRR Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How
2018	A*	`conf`	Decentralized High-Dimensional Bayesian Optimization With Factor Graphs. AAAI Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low
2018	A*	`conf`	Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception. AAAI Ruofei Ouyang, Kian Hsiang Low
2017	A*	`conf`	A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. AAAI Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low
2017	J	`jnl`	Decentralized High-Dimensional Bayesian Optimization with Factor Graphs. CoRR Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low
2017	J	`jnl`	Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception. CoRR Ruofei Ouyang, Kian Hsiang Low
2017	J	`jnl`	Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models. CoRR Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet
2016	J	`jnl`	A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. CoRR Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low
2016	C	`conf`	Concept Based Hybrid Fusion of Multimodal Event Signals. ISM Yuhui Wang, Christian von der Weth, Yehong Zhang, Kian Hsiang Low, Vivek K. Singh, Mohan S. Kankanhalli
2016	A*	`conf`	DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. IJCAI Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua
2016	J	`jnl`	DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. CoRR Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua
2016	A*	`conf`	Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. AAAI Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
2016	A	`conf`	Multi-Agent Continuous Transportation with Online Balanced Partitioning: (Extended Abstract). AAMAS Chao Wang, Somchaya Liemhetcharat, Kian Hsiang Low
2016	A*	`conf`	Near-Optimal Active Learning of Multi-Output Gaussian Processes. AAAI Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
2015	J	`jnl`	Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems. IEEE Trans Autom. Sci. Eng. Jie Chen, Kian Hsiang Low, Yujian Yao, Patrick Jaillet
2015	J	`jnl`	Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. CoRR Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
2015	—	`conf`	Inverse Reinforcement Learning with Locally Consistent Reward Functions. NIPS Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
2015	J	`jnl`	Multi-Agent Continuous Transportation with Online Balanced Partitioning. CoRR Chao Wang, Somchaya Liemhetcharat, Kian Hsiang Low
2015	J	`jnl`	Near-Optimal Active Learning of Multi-Output Gaussian Processes. CoRR Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
2015	A*	`conf`	Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. AAAI Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet
2014	—	`conf`	Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes. ECML/PKDD (3) Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli
2014	J	`jnl`	Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. CoRR Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
2014	A	`conf`	Decision-theoretic approach to maximizing fairness in multi-target observation in multi-camera surveillance. AAMAS Prabhu Natarajan, Kian Hsiang Low, Mohan S. Kankanhalli
2014	A*	`conf`	GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model. AAAI Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul
2014	J	`jnl`	GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model. CoRR Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul
2014	—	`conf`	Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization. ECML/PKDD (3) Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Baris Özgül
2014	—	`conf`	Multi-agent ad hoc team partitioning by observing and modeling single-agent performance. APSIPA Etkin Baris Ozgul, Somchaya Liemhetcharat, Kian Hsiang Low
2014	A	`conf`	Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena. AAMAS Ruofei Ouyang, Kian Hsiang Low, Jie Chen, Patrick Jaillet
2014	A	`conf`	No One is Left "Unwatched": Fairness in Observation of Crowds of Mobile Targets in Active Camera Surveillance. ECAI Prabhu Natarajan, Kian Hsiang Low, Mohan S. Kankanhalli
2014	J	`jnl`	Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. CoRR Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet
2014	J	`jnl`	Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. CoRR Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
2014	—	`conf`	Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data. DyDESS Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu, Patrick Jaillet
2014	—	`conf`	Scalable Decision-Theoretic Coordination and Control for Real-time Active Multi-Camera Surveillance. ICDSC Prabhu Natarajan, Trong Nghia Hoang, Yongkang Wong, Kian Hsiang Low, Mohan S. Kankanhalli
2013	J	`jnl`	A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior CoRR Trong Nghia Hoang, Kian Hsiang Low
2013	A*	`conf`	A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior. IJCAI Trong Nghia Hoang, Kian Hsiang Low
2013	A*	`conf`	Adaptive sensing of time series with application to remote exploration. ICRA David R. Thompson, Nathalie Cabrol, P. Michael Furlong, Craig Hardgrove, Kian Hsiang Low, Jeffrey Moersch, David Wettergreen
2013	—	`conf`	Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System. Robotics: Science and Systems Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan
2013	J	`jnl`	Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System. CoRR Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan
2013	J	`jnl`	Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing CoRR Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
2013	J	`jnl`	Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents CoRR Trong Nghia Hoang, Kian Hsiang Low
2013	A*	`conf`	Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents. IJCAI Trong Nghia Hoang, Kian Hsiang Low
2013	J	`jnl`	Multi-Robot Informative Path Planning for Active Sensing of Environmental Phenomena: A Tale of Two Algorithms CoRR Nannan Cao, Kian Hsiang Low, John M. Dolan
2013	A	`conf`	Multi-robot informative path planning for active sensing of environmental phenomena: a tale of two algorithms. AAMAS Nannan Cao, Kian Hsiang Low, John M. Dolan
2013	J	`jnl`	Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations CoRR Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
2013	A	`conf`	Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. UAI Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
2012	J	`jnl`	Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena CoRR Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
2012	A	`conf`	Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. UAI Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
2012	A	`conf`	Decentralized active robotic exploration and mapping for probabilistic field classification in environmental sensing. AAMAS Kian Hsiang Low, Jie Chen, John M. Dolan, Steve A. Chien, David R. Thompson
2012	J	`jnl`	Decision-Theoretic Coordination and Control for Active Multi-Camera Surveillance in Uncertain, Partially Observable Environments. CoRR Prabhu Natarajan, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
2012	A	`conf`	Decision-theoretic approach to maximizing observation of multiple targets in multi-camera surveillance. AAMAS Prabhu Natarajan, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
2012	—	`conf`	Decision-theoretic coordination and control for active multi-camera surveillance in uncertain, partially observable environments. ICDSC Prabhu Natarajan, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
2012	—	`conf`	Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents. IAT Jiangbo Yu, Kian Hsiang Low, Ali Oran, Patrick Jaillet
2012	A	`conf`	Intention-aware planning under uncertainty for interacting with self-interested, boundedly rational agents. AAMAS Trong Nghia Hoang, Kian Hsiang Low
2011	J	`jnl`	Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing CoRR Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
2011	A	`conf`	Active Markov information-theoretic path planning for robotic environmental sensing. AAMAS Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
2009	A*	`conf`	Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing. ICAPS Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
2008	—	`conf`	Adaptive multi-robot wide-area exploration and mapping. AAMAS (1) Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
2007	A*	`conf`	A Transparent Bilateral Controller for Teleoperation Considering the Transition of Motion. ICRA Heng Wang, Kian Hsiang Low, Michael Yu Wang
2007	A*	`conf`	Adaptive Sampling for Multi-Robot Wide-Area Exploration. ICRA Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, Pradeep K. Khosla
2007	J	`jnl`	Virtual circle mapping for master-slave hand systems. Adv. Robotics Heng Wang, Kian Hsiang Low, Michael Yu Wang
2006	J	`jnl`	Autonomic mobile sensor network with self-coordinated task allocation and execution. IEEE Trans. Syst. Man Cybern. Syst. Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
2005	A*	`conf`	A Mapping Method for Telemanipulation of the Non-Anthropomorphic Robotic Hands with Initial Experimental Validation. ICRA Heng Wang, Kian Hsiang Low, Michael Yu Wang, Feng Gong
2005	J	`jnl`	An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks. Neural Comput. Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
2005	J	`jnl`	Modeling and Motion Control of Robotic Hand for Telemanipulation Application. Int. J. Softw. Eng. Knowl. Eng. Kian Hsiang Low, Heng Wang, Kim-Meow Liew, Yiyu Cai
2004	A*	`conf`	Reactive, Distributed Layered Architecture for Resource-bounded Multi-robot Cooperation: Application to Mobile Sensor Network Coverage. ICRA Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
2004	A*	`conf`	Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network. AAAI Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
2003	A*	`conf`	Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps. IJCAI Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
2003	A	`conf`	Action selection in continuous state and action spaces by cooperation and competition of extended kohonen maps. AAMAS Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
2003	A*	`conf`	Enhancing the reactive capabilities of integrated planning and control with cooperative extended kohonen maps. ICRA Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
2002	A	`conf`	A hybrid mobile robot architecture with integrated planning and control. AAMAS Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
2002	A*	`conf`	Integrated Planning and Control of Mobile Robot with Self-Organizing Neural Network. ICRA Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
2001	A*	`conf`	Combined Use of Ground Learning Model and Active Compliance to the Motion Control of Walking Robotic Legs. ICRA Debao Zhou, Kian Hsiang Low