Xingshi He

Orcid: 0009-0006-9180-4996

According to our database1, Xingshi He authored at least 34 papers between 2004 and 2025.

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Bibliography

2025
Convergence analysis of a novel high order networks model based on entropy error function.
Math. Comput. Simul., 2025

2024
An improved density peaks clustering based on sparrow search algorithm.
Clust. Comput., November, 2024

Semi-supervised sparse subspace clustering with manifold regularization.
Appl. Intell., May, 2024

Efficient construction and convergence analysis of sparse convolutional neural networks.
Neurocomputing, 2024

2023
Bandwidth Allocation and Trajectory Control in UAV-Assisted IoV Edge Computing Using Multiagent Reinforcement Learning.
IEEE Trans. Reliab., 2023

An Enhanced Adaptive Differential Evolution Algorithm With Multi-Mutation Schemes and Weighted Control Parameter Setting.
IEEE Access, 2023

2022
Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer.
Theory Biosci., 2022

An elitism-based multi-objective evolutionary algorithm for min-cost network disintegration.
Knowl. Based Syst., 2022

2020
An efficient parameter estimation method for nonlinear high-order systems via surrogate modeling and cuckoo search.
Soft Comput., 2020

2019
Attraction and diffusion in nature-inspired optimization algorithms.
Neural Comput. Appl., 2019

White Learning: A White-Box Data Fusion Machine Learning Framework for Extreme and Fast Automated Cancer Diagnosis.
IT Prof., 2019

Comparison of Constraint-Handling Techniques for Metaheuristic Optimization.
Proceedings of the Computational Science - ICCS 2019, 2019

2018
Swarm intelligence: past, present and future.
Soft Comput., 2018

Global convergence analysis of the bat algorithm using a markovian framework and dynamical system theory.
Expert Syst. Appl., 2018

Why the Firefly Algorithm Works?
CoRR, 2018

Smoothing Regularized Extreme Learning Machine.
Proceedings of the Engineering Applications of Neural Networks, 2018

2017
Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach.
Proceedings of the International Conference on Computational Science, 2017

Multi-threshold Image Segmentation Method Based on Flower Pollination Algorithm.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016
Nature-Inspired Optimization Algorithms in Engineering: Overview and Applications.
Proceedings of the Nature-Inspired Computation in Engineering, 2016

From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms.
Computer, 2016

2015
Swarm Intelligence and Evolutionary Computation: Overview and Analysis.
Proceedings of the Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015

A New Compound Kernel Function for SVM.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

2014
Bat algorithm based on simulated annealing and Gaussian perturbations.
Neural Comput. Appl., 2014

Flower Pollination Algorithm: A Novel Approach for Multiobjective Optimization.
CoRR, 2014

Non-dominated sorting cuckoo search for multiobjective optimization.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

2013
Bat algorithm: literature review and applications.
Int. J. Bio Inspired Comput., 2013

Firefly Algorithm: Recent Advances and Applications.
CoRR, 2013

Multi-Objective Flower Algorithm for Optimization.
Proceedings of the International Conference on Computational Science, 2013

Eagle strategy with flower algorithm.
Proceedings of the International Conference on Advances in Computing, 2013

2007
A Novel Opposition-Based Particle Swarm Optimization for Noisy Problems.
Proceedings of the Third International Conference on Natural Computation, 2007

A novel binary differential evolution algorithm based on artificial immune system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Training radial basis function networks with differential evolution.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2004
Feature Selection with Particle Swarms.
Proceedings of the Computational and Information Science, First International Symposium, 2004

Supervisor-student model in particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004


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