Sharkyangliu

Dr. Yang Liu

Dr. Yang Liu is currently working on optimisation, business intelligence & business analytics, deep learning, probabilistic machine learning, algorithmic trading modelling in finance, simulation and numerical modeling. The focus of his research is motivated from the fact that forecasting using machine learning, statistics, optimisation and numerical modeling can solve real Engineering and financial modeling problems.

Main papers in Surrogate Optimisation:

• Parameter estimation of a pressure swing adsorption model for air separation using multi-objective optimisation and support vector regression model ( Expert Systems with Applications in 2013)
• A fast differential evolution algorithm using k-Nearest Neighbour predictor ( Expert Systems with Applications in 2011)

Main papers in Global Optimisation:

• Automatic calibration of a rainfall-runoff model using a fast and elitist multi-objective particle swarm algorithm. ( Expert Systems with Applications in 2009)