Xiankun Yan

According to our database, Xiankun Yan authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sliding Window Bi-objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions.

Xiankun Yan, Aneta Neumann, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems.

Xiankun Yan, Aneta Neumann, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks.

Aneta Neumann, Sharlotte Gounder, Xiankun Yan, Gregory Sherman, Benjamin Campbell, Mingyu Guo, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Finding Antimagic Labelings of Trees by Evolutionary Search.

Luke Branson, Andrew M. Sutton, Xiankun Yan

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties.

Xiankun Yan, Anh Viet Do, Feng Shi, Xiaoyu Qin, Frank Neumann

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem.

Feng Shi, Xiankun Yan, Frank Neumann

CoRR, 2022

Runtime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem.

Feng Shi, Xiankun Yan, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

2021

A Novel Adaptive Fuzzy Deep Learning Approach for Histopathologic Cancer Detection.

Xiankun Yan, Jianrui Ding, Heng-Da Cheng

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Histopathologic Cancer Detection Based on Deep Multiple Instance Learning.

Meijuan Jia, Xiankun Yan, Shuang Fu

Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019