2 citations · 2 across the 5 of their papers we have counts for
5 papers
Pareto Optimization with Robust Evaluation for Noisy Subset Selection
Yiheng Xu, Danxuan Liu, Bin Zhang +2
Subset selection is a fundamental problem in combinatorial optimization, which has a wide range of applications such as influence maximization and sparse regression. The goal is to…
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
Dan-Xuan Liu, Yi-Heng Xu, Chao Qian
Peptide vaccines are growing in significance for fighting diverse diseases. Machine learning has improved the identification of peptides that can trigger immune responses, and the…
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Dan-Xuan Liu, Chao Qian
Subset selection with cost constraints aims to select a subset from a ground set to maximize a monotone objective function without exceeding a given budget, which has various appli…
Migrant Resettlement by Evolutionary Multi-objective Optimization
Dan-Xuan Liu, Yu-Ran Gu, Chao Qian +2
Migration has been a universal phenomenon, which brings opportunities as well as challenges for global development. As the number of migrants (e.g., refugees) increases rapidly in…
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees
Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
Given a ground set of items, the result diversification problem aims to select a subset with high "quality" and "diversity" while satisfying some constraints. It arises in various…