Kian Hsiang Low

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 26

Top Topics

Gaussian Process

Top Venues

Publications

Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Kian Hsiang Low
Probably Approximate Shapley Fairness with Applications in Machine Learning. CoRR (2022)
Zhongxiang Dai, Yizhou Chen, Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games. CoRR (2020)
Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
Federated Bayesian Optimization via Thompson Sampling. CoRR (2020)
Dmitrii Kharkovskii, Chun Kai Ling, Kian Hsiang Low
Nonmyopic Gaussian Process Optimization with Macro-Actions. CoRR (2020)
Jingfeng Zhang, Bo Han, Laura Wynter, Kian Hsiang Low, Mohan S. Kankanhalli
Towards Robust ResNet: A Small Step but A Giant Leap. CoRR (2019)
Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CoRR (2019)
Yehong Zhang, Zhongxiang Dai, Kian Hsiang Low
Bayesian Optimization with Binary Auxiliary Information. CoRR (2019)
Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CNS (2019)
Tong Teng, Jie Chen, Yehong Zhang, Kian Hsiang Low
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression. CoRR (2019)
Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
Inverse Reinforcement Learning with Missing Data. CoRR (2019)
Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. AAAI (2019)
Haibin Yu, Yizhou Chen, Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
Implicit Posterior Variational Inference for Deep Gaussian Processes. CoRR (2019)
Ruofei Ouyang, Kian Hsiang Low
Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception. AAAI (2018)
Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low
Decentralized High-Dimensional Bayesian Optimization With Factor Graphs. AAAI (2018)
Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How
Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems. CoRR (2018)
Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs. CoRR (2017)
Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. AAAI (2017)
Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet
Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models. CoRR (2017)
Ruofei Ouyang, Kian Hsiang Low
Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception. CoRR (2017)
Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. AAAI (2016)
Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. CoRR (2016)
Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. IJCAI (2016)
Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression. CoRR (2016)
Yuhui Wang, Christian von der Weth, Yehong Zhang, Kian Hsiang Low, Vivek K. Singh, Mohan S. Kankanhalli
Concept Based Hybrid Fusion of Multimodal Event Signals. ISM (2016)
Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
Near-Optimal Active Learning of Multi-Output Gaussian Processes. AAAI (2016)
Chao Wang, Somchaya Liemhetcharat, Kian Hsiang Low
Multi-Agent Continuous Transportation with Online Balanced Partitioning: (Extended Abstract). AAMAS (2016)
Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
Inverse Reinforcement Learning with Locally Consistent Reward Functions. NIPS (2015)
Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. AAAI (2015)
Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
Near-Optimal Active Learning of Multi-Output Gaussian Processes. CoRR (2015)
Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. CoRR (2015)
Chao Wang, Somchaya Liemhetcharat, Kian Hsiang Low
Multi-Agent Continuous Transportation with Online Balanced Partitioning. CoRR (2015)
Jie Chen, Kian Hsiang Low, Yujian Yao, Patrick Jaillet
Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems. IEEE Trans Autom. Sci. Eng. 12 (3) (2015)
Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul
GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model. CoRR (2014)
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. CoRR (2014)
Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu, Patrick Jaillet
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data. DyDESS (2014)
Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Baris Özgül
Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization. ECML/PKDD (3) (2014)
Ruofei Ouyang, Kian Hsiang Low, Jie Chen, Patrick Jaillet
Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena. AAMAS (2014)
Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. CoRR (2014)
Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul
GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model. AAAI (2014)
Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. CoRR (2014)
Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli
Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes. ECML/PKDD (3) (2014)
Prabhu Natarajan, Kian Hsiang Low, Mohan S. Kankanhalli
Decision-theoretic approach to maximizing fairness in multi-target observation in multi-camera surveillance. AAMAS (2014)
Prabhu Natarajan, Trong Nghia Hoang, Yongkang Wong, Kian Hsiang Low, Mohan S. Kankanhalli
Scalable Decision-Theoretic Coordination and Control for Real-time Active Multi-Camera Surveillance. ICDSC (2014)
Prabhu Natarajan, Kian Hsiang Low, Mohan S. Kankanhalli
No One is Left "Unwatched": Fairness in Observation of Crowds of Mobile Targets in Active Camera Surveillance. ECAI (2014)
Etkin Baris Ozgul, Somchaya Liemhetcharat, Kian Hsiang Low
Multi-agent ad hoc team partitioning by observing and modeling single-agent performance. APSIPA (2014)
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System. Robotics: Science and Systems (2013)
Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. UAI (2013)
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System. CoRR (2013)
Nannan Cao, Kian Hsiang Low, John M. Dolan
Multi-Robot Informative Path Planning for Active Sensing of Environmental Phenomena: A Tale of Two Algorithms CoRR (2013)
Nannan Cao, Kian Hsiang Low, John M. Dolan
Multi-robot informative path planning for active sensing of environmental phenomena: a tale of two algorithms. AAMAS (2013)
Trong Nghia Hoang, Kian Hsiang Low
Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents. IJCAI (2013)
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing CoRR (2013)
Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations CoRR (2013)
Trong Nghia Hoang, Kian Hsiang Low
Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents CoRR (2013)
Trong Nghia Hoang, Kian Hsiang Low
A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior. IJCAI (2013)
David R. Thompson, Nathalie Cabrol, P. Michael Furlong, Craig Hardgrove, Kian Hsiang Low, Jeffrey Moersch, David Wettergreen
Adaptive sensing of time series with application to remote exploration. ICRA (2013)
Trong Nghia Hoang, Kian Hsiang Low
A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior CoRR (2013)
Trong Nghia Hoang, Kian Hsiang Low
Intention-aware planning under uncertainty for interacting with self-interested, boundedly rational agents. AAMAS (2012)
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. UAI (2012)
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena CoRR (2012)
Prabhu Natarajan, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
Decision-Theoretic Coordination and Control for Active Multi-Camera Surveillance in Uncertain, Partially Observable Environments. CoRR (2012)
Jiangbo Yu, Kian Hsiang Low, Ali Oran, Patrick Jaillet
Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents. IAT (2012)
Prabhu Natarajan, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
Decision-theoretic approach to maximizing observation of multiple targets in multi-camera surveillance. AAMAS (2012)
Kian Hsiang Low, Jie Chen, John M. Dolan, Steve A. Chien, David R. Thompson
Decentralized active robotic exploration and mapping for probabilistic field classification in environmental sensing. AAMAS (2012)
Prabhu Natarajan, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli
Decision-theoretic coordination and control for active multi-camera surveillance in uncertain, partially observable environments. ICDSC (2012)
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing CoRR (2011)
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
Active Markov information-theoretic path planning for robotic environmental sensing. AAMAS (2011)
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing. ICAPS (2009)
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
Adaptive multi-robot wide-area exploration and mapping. AAMAS (1) (2008)
Heng Wang, Kian Hsiang Low, Michael Yu Wang
Virtual circle mapping for master-slave hand systems. Adv. Robotics 21 (1) (2007)
Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, Pradeep K. Khosla
Adaptive Sampling for Multi-Robot Wide-Area Exploration. ICRA (2007)
Heng Wang, Kian Hsiang Low, Michael Yu Wang
A Transparent Bilateral Controller for Teleoperation Considering the Transition of Motion. ICRA (2007)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
Autonomic mobile sensor network with self-coordinated task allocation and execution. IEEE Trans. Syst. Man Cybern. Syst. 36 (3) (2006)
Kian Hsiang Low, Heng Wang, Kim-Meow Liew, Yiyu Cai
Modeling and Motion Control of Robotic Hand for Telemanipulation Application. Int. J. Softw. Eng. Knowl. Eng. 15 (2) (2005)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks. Neural Comput. 17 (6) (2005)
Heng Wang, Kian Hsiang Low, Michael Yu Wang, Feng Gong
A Mapping Method for Telemanipulation of the Non-Anthropomorphic Robotic Hands with Initial Experimental Validation. ICRA (2005)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network. AAAI (2004)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
Reactive, Distributed Layered Architecture for Resource-bounded Multi-robot Cooperation: Application to Mobile Sensor Network Coverage. ICRA (2004)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
Enhancing the reactive capabilities of integrated planning and control with cooperative extended kohonen maps. ICRA (2003)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
Action selection in continuous state and action spaces by cooperation and competition of extended kohonen maps. AAMAS (2003)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang Jr.
Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps. IJCAI (2003)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
A hybrid mobile robot architecture with integrated planning and control. AAMAS (2002)
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
Integrated Planning and Control of Mobile Robot with Self-Organizing Neural Network. ICRA (2002)
Debao Zhou, Kian Hsiang Low
Combined Use of Ground Learning Model and Active Compliance to the Motion Control of Walking Robotic Legs. ICRA (2001)