According to our database1, Sangwoo Moon authored at least 14 papers between 2009 and 2017.
Legend:Book In proceedings Article PhD thesis Other
Rumor Source Detection under Querying with Untruthful Answers.
Rumor source detection under querying with untruthful answers.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
BRUTE: Energy-Efficient User Association in Cellular Networks From Population Game Perspective.
IEEE Trans. Wireless Communications, 2016
Mutual Information based communication aware path planning: A game theoretic perspective.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Estimating the rumor source with anti-rumor in social networks.
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016
Factorized covariance intersection for scalable partial state decentralized data fusion.
Proceedings of the 19th International Conference on Information Fusion, 2016
A-DCF: Design and implementation of delay and queue length based wireless MAC.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
Spline-Based RRT Path Planner for Non-Holonomic Robots.
Journal of Intelligent and Robotic Systems, 2014
An Integral Framework of Task Assignment and Path Planning for Multiple Unmanned Aerial Vehicles in Dynamic Environments.
Journal of Intelligent and Robotic Systems, 2013
Energy-efficient user association in cellular networks: A population game approach.
Proceedings of the 11th International Symposium and Workshops on Modeling and Optimization in Mobile, 2013
Hybrid Dimensionality Reduction Method Based on Support Vector Machine and Independent Component Analysis.
IEEE Trans. Neural Netw. Learning Syst., 2012
Kargus: a highly-scalable software-based intrusion detection system.
Proceedings of the ACM Conference on Computer and Communications Security, 2012
Effective Dimensionality Reduction Based on Support Vector Machine.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
A hybrid feature extraction framework based on risk minimization and independence maximization.
Proceedings of the International Joint Conference on Neural Networks, 2009