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Xiankun Yan
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 11
Top Topics
Evolutionary Algorithm
Top Venues
CoRR
GECCO
FOGA
MSN
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Publications
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Xiankun Yan
,
Aneta Neumann
,
Frank Neumann
Sliding Window Bi-Objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions.
CoRR
(2024)
Xiankun Yan
,
Aneta Neumann
,
Frank Neumann
Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems.
CoRR
(2024)
Xiankun Yan
,
Aneta Neumann
,
Frank Neumann
Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems.
GECCO
(2024)
Xiankun Yan
,
Anh Viet Do
,
Feng Shi
,
Xiaoyu Qin
,
Frank Neumann
Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties.
ECAI
(2023)
Luke Branson
,
Andrew M. Sutton
,
Xiankun Yan
Finding Antimagic Labelings of Trees by Evolutionary Search.
FOGA
(2023)
Xiankun Yan
,
Anh Viet Do
,
Feng Shi
,
Xiaoyu Qin
,
Frank Neumann
Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties.
CoRR
(2023)
Aneta Neumann
,
Sharlotte Gounder
,
Xiankun Yan
,
Gregory Sherman
,
Benjamin Campbell
,
Mingyu Guo
,
Frank Neumann
Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks.
GECCO
(2023)
Feng Shi
,
Xiankun Yan
,
Frank Neumann
Runtime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem.
PPSN (2)
(2022)
Feng Shi
,
Xiankun Yan
,
Frank Neumann
Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem.
CoRR
(2022)
Xiankun Yan
,
Jianrui Ding
,
Heng-Da Cheng
A Novel Adaptive Fuzzy Deep Learning Approach for Histopathologic Cancer Detection.
EMBC
(2021)
Meijuan Jia
,
Xiankun Yan
,
Shuang Fu
Histopathologic Cancer Detection Based on Deep Multiple Instance Learning.
MSN
(2019)