Kian Hsiang Low

Kian Hsiang Low, Somchaya Liemhetcharat, Etkin Baris Ozgul, 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.

Continuous-spaced action selection for single- and multi-robot tasks using cooperative extended Kohonen maps

Kian Hsiang Low, Marcelo H. Ang, Wee Kheng Leow, 2003, IEEE International Conference on Networking, Sensing and Control, 2004.

Integrated planning and control of mobile robot with self-organizing neural network

Kian Hsiang Low, Marcelo H. Ang, Wee Kheng Leow, 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Kian Hsiang Low, Mun Choon Chan, Dinil Mon Divakaran, 2019, 2019 IEEE Conference on Communications and Network Security (CNS).

Decision-theoretic approach to maximizing observation of multiple targets in multi-camera surveillance

Mohan S. Kankanhalli, Prabhu Natarajan, Kian Hsiang Low, 2012, AAMAS.

Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes

Mohan S. Kankanhalli, Kian Hsiang Low, Patrick Jaillet, 2014, ECML/PKDD.

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks

Kian Hsiang Low, Tat-Seng Chua, Jiashi Feng, 2016, IJCAI.

Multi-Agent Continuous Transportation with Online Balanced Partitioning: (Extended Abstract)

Kian Hsiang Low, Chao Wang, Somchaya Liemhetcharat, 2015, AAMAS.

Decision-theoretic coordination and control for active multi-camera surveillance in uncertain, partially observable environments

Mohan S. Kankanhalli, Prabhu Natarajan, Kian Hsiang Low, 2012, 2012 Sixth International Conference on Distributed Smart Cameras (ICDSC).

Enhancing the reactive capabilities of integrated planning and control with Cooperative Extended Kohonen Maps

Kian Hsiang Low, Marcelo H. Ang, Wee Kheng Leow, 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

Decentralized High-Dimensional Bayesian Optimization with Factor Graphs pdf

Kian Hsiang Low, Quang Minh Hoang, Trong Nghia Hoang, 2017, AAAI.

A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior pdf

Kian Hsiang Low, Trong Nghia Hoang, K. H. Low, 2013, IJCAI.

Adaptive sensing of time series with application to remote exploration

Kian Hsiang Low, David R. Thompson, David Wettergreen, 2013, 2013 IEEE International Conference on Robotics and Automation.

Decision-Theoretic Approach to Maximizing Fairness in Multi-Target Observation in Multi-Camera Surveillance (Extended Abstract)

Mohan S. Kankanhalli, Prabhu Natarajan, Kian Hsiang Low, 2014 .

Near-Optimal Active Learning of Multi-Output Gaussian Processes

Mohan S. Kankanhalli, Kian Hsiang Low, Trong Nghia Hoang, 2015, AAAI.

Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents

Kian Hsiang Low, Patrick Jaillet, Jiangbo Yu, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models pdf

Kian Hsiang Low, Haibin Yu, Patrick Jaillet, 2017, ArXiv.

GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model

Kian Hsiang Low, Nuo Xu, Jie Chen, 2014, AAAI.

A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression

Kian Hsiang Low, Quang Minh Hoang, Trong Nghia Hoang, 2016, AAAI.

Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena

Kian Hsiang Low, Patrick Jaillet, Jie Chen, 2014, AAMAS.

FCM-sketch: generic network measurements with data plane support

Kian Hsiang Low, Mun Choon Chan, Pravein G. Kannan, 2020, CoNEXT.

Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents pdf

Kian Hsiang Low, Trong Nghia Hoang, K. H. Low, 2013, IJCAI.

Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations pdf

Kian Hsiang Low, Patrick Jaillet, Colin Keng-Yan Tan, 2013, UAI.

Federated Bayesian Optimization via Thompson Sampling pdf

Kian Hsiang Low, Patrick Jaillet, Zhongxiang Dai, 2020, NeurIPS.

Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization

Kian Hsiang Low, Nuo Xu, Jie Chen, 2014, ECML/PKDD.

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems

Kian Hsiang Low, Quang Minh Hoang, Trong Nghia Hoang, 2019, AAAI.

Distributed Batch Gaussian Process Optimization

Kian Hsiang Low, K. H. Low, Erik A. Daxberger, 2017, ICML.

Modeling and Motion Control of Robotic Hand for Telemanipulation Application

Kian Hsiang Low, Heng Wang, Yiyu Cai, 2005, Int. J. Softw. Eng. Knowl. Eng..

Towards Robust ResNet: A Small Step but A Giant Leap pdf

Mohan S. Kankanhalli, Kian Hsiang Low, Jingfeng Zhang, 2019, IJCAI.

Inverse Reinforcement Learning with Locally Consistent Reward Functions

Kian Hsiang Low, Patrick Jaillet, Quoc Phong Nguyen, 2015, NIPS.

Concept Based Hybrid Fusion of Multimodal Event Signals

Mohan S. Kankanhalli, Kian Hsiang Low, Vivek K. Singh, 2016, 2016 IEEE International Symposium on Multimedia (ISM).

Decision-theoretic approach to maximizing fairness in multi-target observation in multi-camera surveillance

Mohan S. Kankanhalli, Prabhu Natarajan, Kian Hsiang Low, 2014, AAMAS.

Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation

Kian Hsiang Low, Patrick Jaillet, Jie Chen, 2014, AAAI.

Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression

Kian Hsiang Low, Patrick Jaillet, Haibin Yu, 2017, 2019 International Joint Conference on Neural Networks (IJCNN).

Combined use of ground learning model and active compliance to the motion control of walking robotic legs

Kian Hsiang Low, Debao Zhou, K. H. Low, 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena

Gaurav S. Sukhatme, Kian Hsiang Low, Patrick Jaillet, 2012, UAI.

Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System pdf

Kian Hsiang Low, Colin Keng-Yan Tan, Jie Chen, 2013, Robotics: Science and Systems.

Inverse Reinforcement Learning with Missing Data pdf

Kian Hsiang Low, Patrick Jaillet, Tien Mai, 2019, ArXiv.

An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks

Kian Hsiang Low, Marcelo H. Ang, Wee Kheng Leow, 2005, Neural Computation.

Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data

Kian Hsiang Low, Patrick Jaillet, Nuo Xu, 2014, DyDESS.

A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models

Kian Hsiang Low, Quang Minh Hoang, Trong Nghia Hoang, 2016, ICML.

NASI: Label- and Data-agnostic Neural Architecture Search at Initialization pdf

Beng Chin Ooi, Kian Hsiang Low, Shaofeng Cai, 2021, ArXiv.

Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee pdf

Kian Hsiang Low, Wei Jing, Yining Ma, 2021, ArXiv.

Learning to learn with Gaussian processes

Kian Hsiang Low, Quoc Phong Nguyen, Patrick Jaillet, 2021, UAI.

Differentially Private Federated Bayesian Optimization with Distributed Exploration pdf

Kian Hsiang Low, Zhongxiang Dai, K. H. Low, 2021, NeurIPS.

Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search pdf

Kian Hsiang Low, Zhongxiang Dai, K. H. Low, 2021, ArXiv.

Value-at-Risk Optimization with Gaussian Processes

Kian Hsiang Low, Quoc Phong Nguyen, Zhongxiang Dai, 2021, ICML.

Convolutional Normalizing Flows for Deep Gaussian Processes

Kian Hsiang Low, Haibin Yu, Patrick Jaillet, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization

Kian Hsiang Low, Quoc Phong Nguyen, K. H. Low, 2021, UAI.

Model Fusion for Personalized Learning

Kian Hsiang Low, Trong Nghia Hoang, K. H. Low, 2021, ICML.

Robot Boats as a Mobile Aquatic Sensor Network

Kian Hsiang Low, Alberto Elfes, John M. Dolan, 2009 .

Telesupervised remote surface water quality sensing

Kian Hsiang Low, Alberto Elfes, John M. Dolan, 2010, 2010 IEEE Aerospace Conference.