Xiang Yu

20 papers B 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive deep shared latent representation enables novel multi-omics cancer subtype classification.
Appl. Intell.
Min Li, Zhifang Qi, Shaobo Deng, Lei Wang, Xiang Yu
2025 J jnl
Multi-level pooling self-adaptive evolutionary multi-objective gene selection algorithm for microarray data classification.
Appl. Soft Comput.
Min Li, Rutun Cao, Chen Jin, Junke Wang, Shaobo Deng, Xiang Yu
2024 J jnl
MOSDNET: A multi-omics classification framework using simplified multi-view deep discriminant representation learning and dynamic edge GCN with multi-task learning.
Comput. Biol. Medicine
Min Li, Zihao Chen, Shaobo Deng, Lei Wang, Xiang Yu
2023 J jnl
A novel hybrid gene selection for tumor identification by combining multifilter integration and a recursive flower pollination search algorithm.
Knowl. Based Syst.
Min Li, Lin Ke, Lei Wang, Shaobo Deng, Xiang Yu
2023 — conf
ACLPSO with Dynamic Interval Scaling and Learning Probability Tradeoff Coefficients.
CyberC
Yi Zhang, Xiang Yu, Kaiwen Xu
2023 — conf
Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functions.
BIC-TA (1)
Yi Zhang, Xiang Yu, Kaiwen Xu
2023 J jnl
Improved swarm-optimization-based filter-wrapper gene selection from microarray data for gene expression tumor classification.
Pattern Anal. Appl.
Lin Ke, Min Li, Lei Wang, Shaobo Deng, Jun Ye, Xiang Yu
2021 J jnl
Enhanced Comprehensive Learning Particle Swarm Optimization with Dimensional Independent and Adaptive Parameters.
Comput. Intell. Neurosci.
Xiang Yu, Yu Qiao
2020 J jnl
On convergence analysis of multi-objective particle swarm optimization algorithm.
Eur. J. Oper. Res.
Gang Xu, Kun Luo, Guoxiu Jing, Xiang Yu, Xiaojun Ruan, Jun Song
2020 J jnl
Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit.
Complex.
Xiang Yu, Yu Qiao, Qingpeng Li, Gang Xu, Chuanxiong Kang, Claudio Estevez, Chengzhi Deng, Shengqian Wang
2019 J jnl
Decomposition-based multi-objective comprehensive learning particle swarm optimisation.
Int. J. Comput. Sci. Eng.
Xiang Yu, Hui Wang, Hui Sun
2019 J jnl
Dynamic Knowledge Update Using Three-Way Decisions in Dominance-Based Rough Sets Approach While the Object Set Varies.
Int. J. Comput. Intell. Syst.
Lei Wang, Min Li, Jun Ye, Xiang Yu, Ziqi Wang, Shaobo Deng
2018 J jnl
Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization.
Inf.
Xiang Yu, Claudio Estevez
2017 J jnl
Firefly algorithm with adaptive control parameters.
Soft Comput.
Hui Wang, Xinyu Zhou, Hui Sun, Xiang Yu, Jia Zhao, Hai Zhang, Laizhong Cui
2017 J jnl
Firefly algorithm with neighborhood attraction.
Inf. Sci.
Hui Wang, Wenjun Wang, Xinyu Zhou, Hui Sun, Jia Zhao, Xiang Yu, Zhihua Cui
2016 — conf
A Hybrid Firefly Algorithm for Continuous Optimization Problems.
ICCCS (2)
Wenjun Wang, Hui Wang, Hui Sun, Xiang Yu, Jia Zhao, Yun Wang, Yunhui Zhang, Jinyong Zheng, Yueping Lu, Qianya Chen, Chuanbo Han, Haoping Xie
2016 B conf
Adaptive firefly algorithm with alternative search.
CEC
Hui Wang, Wenjun Wang, Hui Sun, Jia Zhao, Xiang Yu, Li Lv, Huasheng Zhu
2016 J jnl
Artificial bee colony algorithm with improved special centre.
Int. J. Comput. Sci. Math.
Hui Sun, Kun Wang, Jia Zhao, Xiang Yu
2016 J jnl
Opposition-Based Artificial Bee Colony Using Different Learning Models.
J. Inf. Hiding Multim. Signal Process.
Jia Zhao, Xuefeng Fu, Li Lv, RunXiu Wu, Hui Wang, Xiang Yu, Tanghuai Fan
2014 J jnl
Enhanced comprehensive learning particle swarm optimization.
Appl. Math. Comput.
Xiang Yu, Xueqing Zhang