Guo Yu obtained his BS degree in Information and Computing Science in 2012 and his MEng degree in Computer Technology in 2015, both from Xiangtan University, China. He joined the Department of Computer Science of the University of Surrey as a PhD student in October 2016. His research interests include preference learning, evolutionary optimisation, and machine learning.
His research interests in Preference-assisted optimization, Data-driven Optimization, Machine Learning and their applications,
 G Yu, Y Jin, M Olhofer, Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization, IEEE transactions on cybernetics, 2019.
 G Yu, Y Jin, M Olhofer, A Method for a Posteriori Identification of Knee Points Based on Solution Density, 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018.
 H Bai, J Zheng, G Yu, S Yang, J Zou, A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation, Information Sciences 478, 186-207, 2018
 J Zou, L Fu, J Zheng, S Yang, G Yu, Y Hu, A many-objective evolutionary algorithm based on rotated grid, Applied Soft Computing 67, 596-609, 2018.
 G Yu, R Shen, J Zheng, M Li, J Zou, Y Liu, Binary search based boundary elimination selection in many-objective evolutionary optimization, Applied Soft Computing 60, 689-705, 2017.
 J Zheng, G Yu, Q Zhu, X Li, J Zou, On decomposition methods in interactive user-preference based optimization, Applied Soft Computing 52, 952-973, 2017.
 G Yu, J Zheng, R Shen, M Li, Decomposing the user-preference in multiobjective optimization, Soft Computing 20 (10), 4005-4021, 2016.
 G Yu, J Zheng, X Li, An improved performance metric for multiobjective evolutionary algorithms with user preferences, 2015 IEEE Congress on Evolutionary Computation (CEC), 908-915, 2015.
 G Ruan, G Yu, J Zheng, J Zou, S Yang, The effect of diversity maintenance on prediction in dynamic multi-objective optimization, Applied Soft Computing 58, 631-647, 2017.
 J Hu, G Yu, J Zheng, J Zou, A preference-based multi-objective evolutionary algorithm using preference selection radius, Soft Computing 21 (17), 5025-5051, 2017.