Jun Yu

According to our database, Jun Yu authored at least 52 papers between 2022 and 2025.

Collaborative distances:

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

2025

Multi-strategy enhanced marine predator algorithm: performance investigation and application in intrusion detection.

Zhongmin Wang, Yujun Zhang, Jun Yu, YuanYuan Gao, Guangwei Zhao, Essam H. Houssein, Rui Zhong

J. Big Data, December, 2025

SFE-EANDS: a simple, normalized distance-based selectionfast, and efficient algorithm with external archive and normalized distance-based selection for high-dimensional feature selection.

Rui Zhong, Yang Cao, Essam H. Houssein, Jun Yu, Masaharu Munetomo

Clust. Comput., October, 2025

Self-adaptive competitive swarm optimizer: a memetic approach for global optimization and human-powered aircraft design.

Rui Zhong, Zhongmin Wang, Ibrahem Al-Shourbaji, Essam H. Houssein, Pramod H. Kachare, Abdoh Jabbari, Raimund Kirner, Jun Yu

Memetic Comput., September, 2025

A novel adjacent matrix-based probabilistic selection mechanism for differential evolution.

Rui Zhong, Shilong Zhang, Yujun Zhang, Jun Yu

Clust. Comput., June, 2025

Group-driven Remora Optimization Algorithm with multiple search and regeneration strategies.

Fei Peng, Rui Zhong, Chao Zhang, Jun Yu

Clust. Comput., June, 2025

HHDE: a hyper-heuristic differential evolution with novel boundary repair technique for complex optimization.

Rui Zhong, Shilong Zhang, Jun Yu, Masaharu Munetomo

J. Supercomput., May, 2025

Symbiotic mechanism-based honey badger algorithm for continuous optimization.

Yuefeng Xu, Rui Zhong, Yang Cao, Chao Zhang, Jun Yu

Clust. Comput., April, 2025

An Unmanned System-Guided Crowd Evacuation Method in Complex and Large-Scale Evacuation Environments.

Tianrui Wu, Jun Yu, Qingchao Jiang, Qinqin Fan

IEEE Trans Autom. Sci. Eng., 2025

Crested ibis algorithm and its application in human-powered aircraft design.

Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu

Knowl. Based Syst., 2025

Enhanced crested ibis algorithm: Performance validation in benchmark functions, engineering problems, and application in brain tumor detection.

Rui Zhong, Abdelazim G. Hussien, Essam H. Houssein, Jun Yu

Expert Syst. Appl., 2025

Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction: Performance benchmarking and application in eye disease detection.

Rui Zhong, Zhongmin Wang, Abdelazim G. Hussien, Essam H. Houssein, Ibrahim AlShourbaji, Mohamed A. Elseify, Jun Yu

Comput. Biol. Medicine, 2025

Integrating Competitive Framework into Differential Evolution: Comprehensive performance analysis and application in brain tumor detection.

Rui Zhong, Zhongmin Wang, Yujun Zhang, Junbo Jacob Lian, Jun Yu, Huiling Chen

Appl. Soft Comput., 2025

Space mission trajectory optimization via competitive differential evolution with independent success history adaptation.

Rui Zhong, Abdelazim G. Hussien, Shilong Zhang, Yuefeng Xu, Jun Yu

Appl. Soft Comput., 2025

LLMOA: A novel large language model assisted hyper-heuristic optimization algorithm.

Rui Zhong, Abdelazim G. Hussien, Jun Yu, Masaharu Munetomo

Adv. Eng. Informatics, 2025

Accelerating Surrogate-Assisted Multi-Objective Evolutionary Optimization via a Dynamic Surrogate Model with Archive Updating.

Zi Wang, Yu Ding, Yawen Zou, Chao Zhang, Jun Yu

Proceedings of the 17th International Conference on Knowledge and Smart Technology, 2025

Adjacent Distance Matrix-Based Competitive Swarm Optimizer.

Yang Cao, Rui Zhong, Jun Yu, Masaharu Munetomo

Proceedings of the Applications of Evolutionary Computation - 28th European Conference, 2025

Improved Competitive Swarm Optimizer with Linear Population Reduction for Large-scale Optimization.

Rui Zhong, Jun Yu, Xingbang Du, Enzhi Zhang, Abdelazim G. Hussien

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Leveraging Inter-Generational Knowledge Transfer in Large-Scale Global Optimization.

Yuefeng Xu, Rui Zhong, Chong Zhou, Chao Zhang, Jun Yu

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Adaptive Transfer Learning Assisted Multimodal Multi-objective Optimization Algorithm Based on Zoning Search.

Shaojie Chen, Jingjing Wang, Jun Yu, Qingchao Jiang, Qinqin Fan

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Gene-targeting multiplayer battle game optimizer for large-scale global optimization via cooperative coevolution.

Rui Zhong, Jun Yu

Clust. Comput., December, 2024

DEA²H²: differential evolution architecture based adaptive hyper-heuristic algorithm for continuous optimization.

Rui Zhong, Jun Yu

Clust. Comput., December, 2024

A novel evolutionary status guided hyper-heuristic algorithm for continuous optimization.

Rui Zhong, Jun Yu

Clust. Comput., December, 2024

Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework.

Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu

Clust. Comput., December, 2024

Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems.

Rui Zhong, Chao Zhang, Jun Yu

Knowl. Inf. Syst., November, 2024

Hybrid remora crayfish optimization for engineering and wireless sensor network coverage optimization.

Rui Zhong, Qinqin Fan, Chao Zhang, Jun Yu

Clust. Comput., October, 2024

Multilevel saliency-guided self-supervised learning for image anomaly detection.

Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang

Signal Image Video Process., September, 2024

Multiplayer battle game-inspired optimizer for complex optimization problems.

Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu

Clust. Comput., September, 2024

Chaotic vegetation evolution: leveraging multiple seeding strategies and a mutation module for global optimization problems.

Rui Zhong, Chao Zhang, Jun Yu

Evol. Intell., August, 2024

SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems.

Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo

Neural Comput. Appl., April, 2024

Learning disentangled representations for controllable human motion prediction.

Chunzhi Gu, Jun Yu, Chao Zhang

Pattern Recognit., February, 2024

A multi-in and multi-out dendritic neuron model and its optimization.

Yu Ding, Jun Yu, Chunzhi Gu, Shangce Gao, Chao Zhang

Knowl. Based Syst., 2024

Large Language Model Assisted Adversarial Robustness Neural Architecture Search.

Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo

CoRR, 2024

Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation.

Yawen Zou, Chunzhi Gu, Jun Yu, Shangce Gao, Chao Zhang

CoRR, 2024

Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows.

Shun Maeda, Chunzhi Gu, Jun Yu, Shogo Tokai, Shangce Gao, Chao Zhang

CoRR, 2024

Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search.

Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu

CoRR, 2024

Handling Class Imbalance in Black-Box Unsupervised Domain Adaptation with Synthetic Minority Over-Sampling.

Yawen Zou, Chunzhi Gu, Zi Wang, Guang Li, Jun Yu, Chao Zhang

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine.

Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo

Proceedings of the Advances in Swarm Intelligence, 2024

Evolutionary Computation with Distance-Based Pretreatment for Multi-modal Problems.

Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu

Proceedings of the Advances in Swarm Intelligence, 2024

Simplified Multiplayer Battle Game-inspired Optimizer with Diverse Search Strategies.

Shilong Zhang, Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu

Proceedings of the Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, 2024

Generating Adversarial Examples for 3D Point Clouds Using Evolutionary Algorithms.

Akira Takahashi, Chao Zhang, Jun Yu

Proceedings of the Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, 2024

Balancing Feature Imitation and Knowledge Consistency for Improving Anomaly Detection.

Zi Wang, Katsuya Hotta, Kohei Nakazawa, Chao Zhang, Jun Yu

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

2023

Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems.

Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo

Int. J. Comput. Intell. Syst., December, 2023

Teacher-student network for 3D point cloud anomaly detection with few normal samples.

Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang

Expert Syst. Appl., October, 2023

Image-Pointcloud Fusion based Anomaly Detection using PD-REAL Dataset.

Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang

CoRR, 2023

Black-Box Targeted Adversarial Attack Based on Multi-Population Genetic Algorithm.

Yuuto Aiza, Chao Zhang, Jun Yu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Augment with Teacher and Distill with Student: A Two-Stage Teacher-Student Network Training Scheme for 3D Human Segmentation.

Chao Zhang, Katsuya Hotta, Takuma Ueshima, Jun Yu, Chunzhi Gu

Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

Generating Smooth Interpretability Map for Explainable Image Segmentation.

Takaya Okamoto, Chunzhi Gu, Jun Yu, Chao Zhang

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Improving Fish Freshness Classification with Fish Eye Segmentation Guidance.

Daichi Kato, Chunzhi Gu, Jun Yu, Chao Zhang

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

A Clicking Strategy Inspired by Inter-Individual Variation for Interactive Image Segmentation.

Shuofeng Zhao, Chunzhi Gu, Jun Yu, Chao Zhang

Proceedings of the 6th Artificial Intelligence and Cloud Computing Conference, 2023

Weakly-Supervised Motion In-Betweening Learning via Pose Priors.

Shun Maeda, Chunzhi Gu, Jun Yu, Chao Zhang

Proceedings of the 6th Artificial Intelligence and Cloud Computing Conference, 2023

2022

Accelerating Fireworks Algorithm with Adaptive Scouting Strategy.

Jun Yu, Chao Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Student-Teacher Anomaly Detection Considering Knowledge Consistency between Layer Groups.

Kohei Nakazawa, Katsuya Hotta, Jun Yu, Chao Zhang

Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022