Xingshi He

42 papers B 2C 2Misc 3Journal 26Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
An improved density peaks clustering algorithm based on mutual nearest neighbor distance.
Int. J. Mach. Learn. Cybern.
Yaru Chen, Jie Zhou, Xingshi He
2025 J jnl
Convergence analysis of a novel high order networks model based on entropy error function.
Math. Comput. Simul.
Qianru Huang, Qinwei Fan, Zhiwei Xing, Xiaofei Yang, Xingshi He
2025 J jnl
Hierarchical bipartite graph based multi-view subspace clustering.
Inf. Fusion
Jie Zhou, Feiping Nie, Xinglong Luo, Xingshi He
2025 J jnl
Joint clustering and feature selection based on trace ratio model and coordinate descent method.
Clust. Comput.
Liang Xu, Xingshi He, Jingjing Xue, Qingqing Zhang
2024 J jnl
An improved density peaks clustering based on sparrow search algorithm.
Clust. Comput.
Yaru Chen, Jie Zhou, Xingshi He, Xinglong Luo
2024 J jnl
Efficient construction and convergence analysis of sparse convolutional neural networks.
Neurocomputing
Shuai Zhao, Qinwei Fan, Qingmei Dong, Zhiwei Xing, Xiaofei Yang, Xingshi He
2024 J jnl
Semi-supervised sparse subspace clustering with manifold regularization.
Appl. Intell.
Zhiwei Xing, Jigen Peng, Xingshi He, Mengnan Tian
2023 J jnl
An Enhanced Adaptive Differential Evolution Algorithm With Multi-Mutation Schemes and Weighted Control Parameter Setting.
IEEE Access
Mengnan Tian, Yanhui Meng, Xingshi He, Qingqing Zhang, Yanghan Gao
2023 J jnl
Bandwidth Allocation and Trajectory Control in UAV-Assisted IoV Edge Computing Using Multiagent Reinforcement Learning.
IEEE Trans. Reliab.
Juzhen Wang, Xiaoli Zhang, Xingshi He, Yongqiang Sun
2022 J jnl
An elitism-based multi-objective evolutionary algorithm for min-cost network disintegration.
Knowl. Based Syst.
Qian Li, Sanyang Liu, Yi-Guang Bai, Xingshi He, Xin-She Yang
2022 J jnl
Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer.
Theory Biosci.
Lingling Li, Ting Zhao, Xingshi He, Xinshe Yang, Tianhai Tian, Xinan Zhang
2020 J jnl
An efficient parameter estimation method for nonlinear high-order systems via surrogate modeling and cuckoo search.
Soft Comput.
Xuefang Lai, Xiaolong Wang, Yufeng Nie, Xingshi He
2020 — book
Nature-Inspired Computation in Data Mining and Machine Learning
Xin-She Yang, Xingshi He
2019 J jnl
Attraction and diffusion in nature-inspired optimization algorithms.
Neural Comput. Appl.
Xin-She Yang, Suash Deb, Thomas Hanne, Xingshi He
2019 — conf
Comparison of Constraint-Handling Techniques for Metaheuristic Optimization.
ICCS (3)
Xingshi He, Qin-wei Fan, Mehmet Karamanoglu, Xin-She Yang
2019 J jnl
The Global Convergence Analysis of the Bat Algorithm Using a Markovian Framework and Dynamical System Theory.
CoRR
Si Chen, Guo-Hua Peng, Xingshi He, Xin-She Yang
2019 J jnl
White Learning: A White-Box Data Fusion Machine Learning Framework for Extreme and Fast Automated Cancer Diagnosis.
IT Prof.
Tengyue Li, Simon Fong, Liansheng Liu, Xin-She Yang, Xingshi He, Jinan Fiaidhi, Sabah Mohammed
2018 J jnl
Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach.
CoRR
Xingshi He, Xin-She Yang, Mehmet Karamanoglu, Yuxin Zhao
2018 J jnl
Global convergence analysis of the bat algorithm using a markovian framework and dynamical system theory.
Expert Syst. Appl.
Si Chen, Guo-Hua Peng, Xingshi He, Xin-She Yang
2018 C conf
Smoothing Regularized Extreme Learning Machine.
EANN
Qin-wei Fan, Xingshi He, Xin-She Yang
2018 J jnl
Swarm Intelligence: Past, Present and Future.
CoRR
Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xingshi He
2018 J jnl
Swarm intelligence: past, present and future.
Soft Comput.
Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xingshi He
2018 J jnl
Why the Firefly Algorithm Works?
CoRR
Xin-She Yang, Xingshi He
2017 Misc conf
Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach.
ICCS
Xingshi He, Xin-She Yang, Mehmet Karamanoglu, Yuxin Zhao
2017 — conf
Multi-threshold Image Segmentation Method Based on Flower Pollination Algorithm.
BIC-TA
Jingjing Xue, Xingshi He, Xinshe Yang, Xiaoying Hao, Feiyue He
2016 J jnl
From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms.
Computer
Xin-She Yang, Suash Deb, Simon Fong, Xingshi He, Yuxin Zhao
2016 — ch.
Nature-Inspired Optimization Algorithms in Engineering: Overview and Applications.
Nature-Inspired Computation in Engineering
Xin-She Yang, Xingshi He
2015 — conf
A New Compound Kernel Function for SVM.
UIC/ATC/ScalCom
Yonghua Mao, Xiaolin Gui, Xingshi He, Ying Guo
2015 — ch.
Swarm Intelligence and Evolutionary Computation: Overview and Analysis.
Recent Advances in Swarm Intelligence and Evolutionary Computation
Xin-She Yang, Xingshi He
2014 J jnl
Bat algorithm based on simulated annealing and Gaussian perturbations.
Neural Comput. Appl.
Xingshi He, Wen-Jing Ding, Xin-She Yang
2014 J jnl
Flower Pollination Algorithm: A Novel Approach for Multiobjective Optimization.
CoRR
Xin-She Yang, Mehmet Karamanoglu, Xingshi He
2014 J jnl
Multi-objective Flower Algorithm for Optimization.
CoRR
Xin-She Yang, Mehmet Karamanoglu, Xingshi He
2014 — conf
Non-dominated sorting cuckoo search for multiobjective optimization.
SIS
Xingshi He, Na Li, Xin-She Yang
2013 J jnl
Bat algorithm: literature review and applications.
Int. J. Bio Inspired Comput.
Xin-She Yang, Xingshi He
2013 — conf
Eagle strategy with flower algorithm.
ICACCI
Xin-She Yang, Suash Deb, Xingshi He
2013 J jnl
Firefly Algorithm: Recent Advances and Applications.
CoRR
Xin-She Yang, Xingshi He
2013 Misc conf
Multi-Objective Flower Algorithm for Optimization.
ICCS
Xin-She Yang, Mehmet Karamanoglu, Xingshi He
2007 — conf
A Novel Opposition-Based Particle Swarm Optimization for Noisy Problems.
ICNC (3)
Lin Han, Xingshi He
2007 B conf
A novel binary differential evolution algorithm based on artificial immune system.
IEEE Congress on Evolutionary Computation
Xingshi He, Lin Han
2006 Misc conf
Training radial basis function networks with differential evolution.
GrC
Bing Yu, Xingshi He
2004 C conf
Feature Selection with Particle Swarms.
CIS
Yu Liu, Zheng Qin, Zenglin Xu, Xingshi He
2004 B conf
Supervisor-student model in particle swarm optimization.
IEEE Congress on Evolutionary Computation
Yu Liu, Zheng Qin, Xingshi He