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Dan-Xuan Liu
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2020 – today
- 2024
- [j3]Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou:
Multi-class imbalance problem: A multi-objective solution. Inf. Sci. 680: 121156 (2024) - [c3]Dan-Xuan Liu, Yi-Heng Xu, Chao Qian:
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization. IJCAI 2024: 6967-6975 - [c2]Dan-Xuan Liu, Chao Qian:
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. PPSN (4) 2024: 236-251 - [i5]Dan-Xuan Liu, Yi-Heng Xu, Chao Qian:
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization. CoRR abs/2406.05743 (2024) - [i4]Dan-Xuan Liu, Chao Qian:
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. CoRR abs/2406.12383 (2024) - 2023
- [j2]Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang:
Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences. Theor. Comput. Sci. 943: 241-266 (2023) - [c1]Dan-Xuan Liu, Xin Mu, Chao Qian:
Human Assisted Learning by Evolutionary Multi-Objective Optimization. AAAI 2023: 12453-12461 - [i3]Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang:
Migrant Resettlement by Evolutionary Multi-objective Optimization. CoRR abs/2310.08896 (2023) - 2022
- [j1]Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou:
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees. Artif. Intell. 309: 103737 (2022) - 2021
- [i2]Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang:
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences. CoRR abs/2104.09884 (2021) - [i1]Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou:
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees. CoRR abs/2110.09332 (2021)
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