Dr Yingke Chen

Yingke Chen‘s research interests include Artificial Intelligence (in particular, multiagent learning and its applications in computer games) and Formal Methods (in particular, machine learning-based model checking). 

• Please visit the Pure Research Information Portal for further information
• HTMLPhish: Enabling Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis, Opara, C., Wei, B., Chen, Y. Jul 2020, 2020 International Joint Conference on Neural Networks (IJCNN 2020), Piscataway, IEEE
• Decision-Theoretic Planning under Anonymity in Agent Populations, Sonu, E., Chen, Y., Doshi, P. 29 Aug 2017, In: Journal of Artificial Intelligence Research
• On Markov Games Played by Bayesian and Boundedly-Rational Players, Chandrasekaran, M., Chen, Y., Doshi, P. 10 Feb 2017, In: Proceedings of the AAAI Conference on Artificial Intelligence
• Bayesian Markov Games with Explicit Finite-Level Types, Chandrasekaran, M., Chen, Y., Doshi, P. 5 Mar 2016, In: Proceedings of the AAAI Conference on Artificial Intelligence
• Individual Planning in Agent Populations: Exploiting Anonymity and Frame-Action Hypergraphs, Sonu, E., Chen, Y., Doshi, P. 8 Apr 2015, In: Proceedings of the International Conference on Automated Planning and Scheduling
• Iterative Online Planning in Multiagent Settings with Limited Model Spaces and PAC Guarantees, Chen, Y., Doshi, P., Zeng, Y. 2015
• Speeding up Planning in Multiagent Settings Using CPU-GPU Architectures, Adoe, F., Chen, Y., Doshi, P. 2015, AGENTS AND ARTIFICIAL INTELLIGENCE, ICAART 2015
• Team Behavior in Interactive Dynamic Influence Diagrams with Applications to Ad Hoc Teams, Chandrasekaran, M., Doshi, P., Zeng, Y., Chen, Y. 2014
• Active Learning of Markov Decision Processes for System Verification, Chen, Y., Nielsen, T. 2012

Computing Science PhD July 01 2013