Research Interests:  

Continuous Optimization, (Fair) Machine Learning,  Stochastic Optimization,  Multi-Objective Optimization. 

Submitted & Published papers: 

1. S. Liu and L. N. Vicente (2022). Convergence rates of the stochastic alternating algorithm for bi-objective optimization. (submitted)
2. S. Liu and L. N. Vicente (2021). The Sharpe predictor for fairness in machine learning. (pre-print)
3. S. Liu and L. N. Vicente. (2022). A stochastic alternating balance k-means algorithm for fair clustering. to appear in Annals of Mathematics and Artificial Intelligence.
4. S. Liu and L. N. Vicente. (2022). Accuracy and fairness trade-offs in machine learning: A stochastic multi-objective approach. to appear in Computational Management Science.
5. S. Liu and L. N. Vicente. (2021). The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning. Annals of Operations Research.

Other Projects:

• Mix Integer Nonlinear Programming in Deep Learning.
• MPhil thesis: Geometric Algorithm in slicing procedure of Rapid Prototyping Process (3D Printing Process). See A new adaptive slicing algorithm based on slice contour reconstruction in Layered Manufacturing process for references.
• Undergraduate Final Year Project: Resource Monitoring Tool in the Software Resource Platform Based on Ulteo (Linux OS) remote virtual desktop.