Dr Yingke Chen

Associate Professor

Department: Computer and Information Sciences

Yingke Chen received his PhD from Aalborg University, Denmark. He did post-doctoral research at Queen’s University Belfast, UK, and Georgia University, USA. His main research interests include artificial intelligence, machine learning, data-driven decision-making, and their applications. His research has led to national and regional research grants and publications in the Journal of AI Research, AAMAS, AAAI, and IJCAI conferences.

Alongside fundamental research, he also designs innovative solutions based on theoretical findings to address practical challenges. He has been the major contributor (PI/Co-I) of over £1.3M Innovate UK-funded projects (including Knowledge Transfer Partnerships). He works together with business partners from transportation, logistics, autonomous underwater vehicles, education, and e-commerce sectors to exploit data science and AI techniques to understand their current operations and upscale their businesses for the future.

Email Yingke

Research Themes and Scholarly Interests

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

Key Publications

Please visit the Pure Research Information Portal for further information
Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics, Opara, C., Chen, Y., Wei, B. 16 Aug 2023, In: Expert Systems with Applications
Online Sparse Representation Clustering for Evolving Data Streams, Chen, J., Yang, S., Fahy, C., Wang, Z., Guo, Y., Chen, Y. 27 Oct 2023, In: IEEE Transactions on Neural Networks and Learning Systems
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

Qualifications

Computing Science PhD July 01 2013

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