Shufen Qin

Orcid: 0009-0008-4384-2407

According to our database1, Shufen Qin authored at least 12 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Surrogate-Assisted Many-Objective Optimization With Estimate Error Preference.
IEEE Trans. Syst. Man Cybern. Syst., January, 2026

2025
Expensive Multiobjective Optimization With Adaptive Contribution Sampling and Enhanced Search.
IEEE Trans. Syst. Man Cybern. Syst., December, 2025

Heterogeneous approximation-assisted search for expensive multi-objective optimization.
Swarm Evol. Comput., 2025

Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images.
npj Digit. Medicine, 2025

2024
Expensive many-objective evolutionary optimization guided by two individual infill criteria.
Memetic Comput., March, 2024

Expensive Many-objective Optimization Assisted by Adaptive Modeling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2023

2022
Multiple infill criterion-assisted hybrid evolutionary optimization for medium-dimensional computationally expensive problems.
Complex Intell. Syst., 2022

2021
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling.
IEEE Trans. Evol. Comput., 2021

2019
Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019


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