Continuous Optimization, (Fair) Machine Learning, Stochastic Optimization, Multi-Objective Optimization.
Submitted & Working papers:
- S. Liu and L. N. Vicente (2021). The Sharpe predictor for fairness in machine learning. (pre-print)
- S. Liu and L. N. Vicente (2021). A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering. (submitted)
- S. Liu and L. N. Vicente (2020). Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach, ISE Technical Report 20T-016, Lehigh University. (submitted)
- S. Liu and L. N. Vicente. The Stochastic Multi-Gradient Algorithm for Multi-Objective Optimization and its Application to Supervised Machine Learning, Annals of Operations Research, 2020.
- 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.