Jun Yu

76 papers B 5C 1Journal 55Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive success history adaptive differential evolution with multi-agent participated competition mechanism.
Clust. Comput.
Zhongmin Wang, Qifang Luo, Chuan Zhang, Shiwei Chen, Jun Yu, Mahmoud Abdel-Salam, Rui Zhong, Daihong Li
2026 J jnl
Community-level competitive influence payoff maximization.
Knowl. Inf. Syst.
Yunfei Zhang, Jun Yu, Chunzhi Gu, Takuya Akashi, Chao Zhang
2026 J jnl
Competitive differential evolution with success-failure adaptation mechanism: performance benchmarking and application in eggplant disease diagnosis.
Int. J. Mach. Learn. Cybern.
Zhongmin Wang, Daihong Li, Jun Yu, Mahmoud Abdel-Salam, Gang Hu, Essam H. Houssein, Nagwan Abdel Samee, Rui Zhong
2026 J jnl
DMP-3DAD: Cross-Category 3D Anomaly Detection via Realistic Depth Map Projection with Few Normal Samples.
CoRR
Zi Wang, Katsuya Hotta, Koichiro Kamide, James Zou, Jianjian Qin, Chao Zhang, Jun Yu
2026 J jnl
Frequency-guided multi-level human action anomaly detection with normalizing flows.
Pattern Recognit.
Shun Maeda, Chunzhi Gu, Jun Yu, Shogo Tokai, Shangce Gao, Chao Zhang
2026 J jnl
K-means competitive swarm optimizer: performance benchmarking and application in brain tumor detection.
Int. J. Mach. Learn. Cybern.
Yang Cao, Zhongmin Wang, Xingbang Du, Jun Yu, Rui Zhong, Masaharu Munetomo
2026 J jnl
Parameter adaptive competitive differential evolution with local search.
Appl. Intell.
Rui Zhong, Zhongmin Wang, Yaning Xiao, Yujun Zhang, Junbo Jacob Lian, Jun Yu, Zhennao Cai, Zhiyong Pan, Huiling Chen, Sudan Yu
2025 J jnl
3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering.
CoRR
Zi Wang, Katsuya Hotta, Koichiro Kamide, Yawen Zou, Chao Zhang, Jun Yu
2025 J jnl
A novel adjacent matrix-based probabilistic selection mechanism for differential evolution.
Clust. Comput.
Rui Zhong, Shilong Zhang, Yujun Zhang, Jun Yu
2025 — conf
Accelerating Surrogate-Assisted Multi-Objective Evolutionary Optimization via a Dynamic Surrogate Model with Archive Updating.
KST
Zi Wang, Yu Ding, Yawen Zou, Chao Zhang, Jun Yu
2025 B conf
Adaptive Transfer Learning Assisted Multimodal Multi-objective Optimization Algorithm Based on Zoning Search.
CEC
Shaojie Chen, Jingjing Wang, Jun Yu, Qingchao Jiang, Qinqin Fan
2025 — conf
Adjacent Distance Matrix-Based Competitive Swarm Optimizer.
EvoApplications (2)
Yang Cao, Rui Zhong, Jun Yu, Masaharu Munetomo
2025 J jnl
Advanced design for nonlinear photovoltaic system problems: A co-evolutionary framework based on a decomposition approach.
Swarm Evol. Comput.
Yujun Zhang, Wenyin Gong, Rui Zhong, Huiling Chen, Jun Yu, Junbo Jacob Lian, Juan Zhao, Zheng-Ming Gao
2025 J jnl
An Unmanned System-Guided Crowd Evacuation Method in Complex and Large-Scale Evacuation Environments.
IEEE Trans Autom. Sci. Eng.
Tianrui Wu, Jun Yu, Qingchao Jiang, Qinqin Fan
2025 J jnl
Correction: SFE-EANDS: a simple, fast, and efficient algorithm with external archive and normalized distance-based selection for high-dimensional feature selection.
Clust. Comput.
Rui Zhong, Yang Cao, Essam H. Houssein, Jun Yu, Masaharu Munetomo
2025 J jnl
Crested ibis algorithm and its application in human-powered aircraft design.
Knowl. Based Syst.
Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu
2025 J jnl
Dynamic fitness-distance balance competitive swarm optimizer: performance investigation, engineering Simulation, and application in superconductor critical temperature prediction.
Clust. Comput.
Yang Cao, Xingbang Du, Jun Yu, Rui Zhong, Masaharu Munetomo
2025 — conf
Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies.
PRICAI (4)
Fei Peng, Rui Zhong, Jun Yu
2025 J jnl
Enhanced crested ibis algorithm: Performance validation in benchmark functions, engineering problems, and application in brain tumor detection.
Expert Syst. Appl.
Rui Zhong, Abdelazim G. Hussien, Essam H. Houssein, Jun Yu
2025 — conf
Enhancing Competitive Swarm Optimization Through Time-Adaptive Selection Between Adjacency-Guided and Random Strategies.
ICSI (1)
Yang Cao, Rui Zhong, Jun Yu, Masaharu Munetomo
2025 J jnl
Group-driven Remora Optimization Algorithm with multiple search and regeneration strategies.
Clust. Comput.
Fei Peng, Rui Zhong, Chao Zhang, Jun Yu
2025 J jnl
HHDE: a hyper-heuristic differential evolution with novel boundary repair technique for complex optimization.
J. Supercomput.
Rui Zhong, Shilong Zhang, Jun Yu, Masaharu Munetomo
2025 B conf
Improved Competitive Swarm Optimizer with Linear Population Reduction for Large-scale Optimization.
CEC
Rui Zhong, Jun Yu, Xingbang Du, Enzhi Zhang, Abdelazim G. Hussien
2025 J jnl
Improved snow ablation optimization for multilevel threshold image segmentation.
Clust. Comput.
Rui Zhong, Chao Zhang, Jun Yu
2025 J jnl
Incremental pseudo-labeling for black-box unsupervised domain adaptation.
J. Vis. Commun. Image Represent.
Yawen Zou, Chunzhi Gu, Jun Yu, Shangce Gao, Chao Zhang
2025 J jnl
Integrating Competitive Framework into Differential Evolution: Comprehensive performance analysis and application in brain tumor detection.
Appl. Soft Comput.
Rui Zhong, Zhongmin Wang, Yujun Zhang, Junbo Jacob Lian, Jun Yu, Huiling Chen
2025 J jnl
LLMOA: A novel large language model assisted hyper-heuristic optimization algorithm.
Adv. Eng. Informatics
Rui Zhong, Abdelazim G. Hussien, Jun Yu, Masaharu Munetomo
2025 J jnl
Learning to Discriminate While Contrasting: Combating False Negative Pairs With Coupled Contrastive Learning for Incomplete Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Yu Ding, Katsuya Hotta, Chunzhi Gu, Ao Li, Jun Yu, Chao Zhang
2025 B conf
Leveraging Inter-Generational Knowledge Transfer in Large-Scale Global Optimization.
CEC
Yuefeng Xu, Rui Zhong, Chong Zhou, Chao Zhang, Jun Yu
2025 J jnl
Multi-strategies improved coati optimization algorithm and performance analysis.
Knowl. Inf. Syst.
Chunqing Li, Zhongmin Wang, Jun Yu, Mahmoud Abdel-Salam, Essam H. Houssein, Rui Zhong
2025 J jnl
Multi-strategy enhanced marine predator algorithm: performance investigation and application in intrusion detection.
J. Big Data
Zhongmin Wang, Yujun Zhang, Jun Yu, Yuanyuan Gao, Guangwei Zhao, Essam H. Houssein, Rui Zhong
2025 J jnl
SFE-EANDS: a simple, normalized distance-based selectionfast, and efficient algorithm with external archive and normalized distance-based selection for high-dimensional feature selection.
Clust. Comput.
Rui Zhong, Yang Cao, Essam H. Houssein, Jun Yu, Masaharu Munetomo
2025 J jnl
Self-adaptive competitive swarm optimizer: a memetic approach for global optimization and human-powered aircraft design.
Memetic Comput.
Rui Zhong, Zhongmin Wang, Ibrahem Al-Shourbaji, Essam H. Houssein, Pramod H. Kachare, Abdoh Jabbari, Raimund Kirner, Jun Yu
2025 J jnl
Space mission trajectory optimization via competitive differential evolution with independent success history adaptation.
Appl. Soft Comput.
Rui Zhong, Abdelazim G. Hussien, Shilong Zhang, Yuefeng Xu, Jun Yu
2025 J jnl
Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction: Performance benchmarking and application in eye disease detection.
Comput. Biol. Medicine
Rui Zhong, Zhongmin Wang, Abdelazim G. Hussien, Essam H. Houssein, Ibrahim AlShourbaji, Mohamed A. Elseify, Jun Yu
2025 J jnl
Symbiotic mechanism-based honey badger algorithm for continuous optimization.
Clust. Comput.
Yuefeng Xu, Rui Zhong, Yang Cao, Chao Zhang, Jun Yu
2025 J jnl
Tri-subpopulation sigmoid-enhanced sine-cosine algorithm and its application to gene function prediction problem.
J. Supercomput.
Yang Cao, Yuefeng Xu, Xingbang Du, Rui Zhong, Jun Yu, Masaharu Munetomo
2024 J jnl
A multi-in and multi-out dendritic neuron model and its optimization.
Knowl. Based Syst.
Yu Ding, Jun Yu, Chunzhi Gu, Shangce Gao, Chao Zhang
2024 J jnl
A novel evolutionary status guided hyper-heuristic algorithm for continuous optimization.
Clust. Comput.
Rui Zhong, Jun Yu
2024 — conf
Balancing Feature Imitation and Knowledge Consistency for Improving Anomaly Detection.
GCCE
Zi Wang, Katsuya Hotta, Kohei Nakazawa, Chao Zhang, Jun Yu
2024 J jnl
Chaotic vegetation evolution: leveraging multiple seeding strategies and a mutation module for global optimization problems.
Evol. Intell.
Rui Zhong, Chao Zhang, Jun Yu
2024 J jnl
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems.
Knowl. Inf. Syst.
Rui Zhong, Chao Zhang, Jun Yu
2024 J jnl
DEA
Clust. Comput.
Rui Zhong, Jun Yu
2024 J jnl
Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search.
CoRR
Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu
2024 — conf
Evolutionary Computation with Distance-Based Pretreatment for Multi-modal Problems.
ICSI (1)
Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu
2024 J jnl
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows.
CoRR
Shun Maeda, Chunzhi Gu, Jun Yu, Shogo Tokai, Shangce Gao, Chao Zhang
2024 J jnl
Gene-targeting multiplayer battle game optimizer for large-scale global optimization via cooperative coevolution.
Clust. Comput.
Rui Zhong, Jun Yu
2024 — conf
Generating Adversarial Examples for 3D Point Clouds Using Evolutionary Algorithms.
SCIS/ISIS
Akira Takahashi, Chao Zhang, Jun Yu
2024 C conf
Handling Class Imbalance in Black-Box Unsupervised Domain Adaptation with Synthetic Minority Over-Sampling.
VCIP
Yawen Zou, Chunzhi Gu, Zi Wang, Guang Li, Jun Yu, Chao Zhang
2024 — conf
Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine.
ICSI (1)
Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo
2024 J jnl
Hybrid remora crayfish optimization for engineering and wireless sensor network coverage optimization.
Clust. Comput.
Rui Zhong, Qinqin Fan, Chao Zhang, Jun Yu
2024 J jnl
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation.
CoRR
Yawen Zou, Chunzhi Gu, Jun Yu, Shangce Gao, Chao Zhang
2024 J jnl
Large Language Model Assisted Adversarial Robustness Neural Architecture Search.
CoRR
Rui Zhong, Yang Cao, Jun Yu, Masaharu Munetomo
2024 J jnl
Learning disentangled representations for controllable human motion prediction.
Pattern Recognit.
Chunzhi Gu, Jun Yu, Chao Zhang
2024 J jnl
Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework.
CoRR
Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu
2024 J jnl
Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework.
Clust. Comput.
Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu
2024 J jnl
Multilevel saliency-guided self-supervised learning for image anomaly detection.
Signal Image Video Process.
Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang
2024 J jnl
Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems.
CoRR
Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu
2024 J jnl
Multiplayer battle game-inspired optimizer for complex optimization problems.
Clust. Comput.
Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu
2024 J jnl
SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems.
Neural Comput. Appl.
Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
2024 — conf
Simplified Multiplayer Battle Game-inspired Optimizer with Diverse Search Strategies.
SCIS/ISIS
Shilong Zhang, Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu
2023 — conf
A Clicking Strategy Inspired by Inter-Individual Variation for Interactive Image Segmentation.
AICCC
Shuofeng Zhao, Chunzhi Gu, Jun Yu, Chao Zhang
2023 J jnl
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization.
CoRR
Yu Ding, Jun Yu, Chunzhi Gu, Shangce Gao, Chao Zhang
2023 — conf
Augment with Teacher and Distill with Student: A Two-Stage Teacher-Student Network Training Scheme for 3D Human Segmentation.
ICCPR
Chao Zhang, Katsuya Hotta, Takuma Ueshima, Jun Yu, Chunzhi Gu
2023 B conf
Black-Box Targeted Adversarial Attack Based on Multi-Population Genetic Algorithm.
SMC
Yuuto Aiza, Chao Zhang, Jun Yu
2023 — conf
Generating Smooth Interpretability Map for Explainable Image Segmentation.
GCCE
Takaya Okamoto, Chunzhi Gu, Jun Yu, Chao Zhang
2023 J jnl
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL Dataset.
CoRR
Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang
2023 — conf
Improving Fish Freshness Classification with Fish Eye Segmentation Guidance.
GCCE
Daichi Kato, Chunzhi Gu, Jun Yu, Chao Zhang
2023 J jnl
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection.
CoRR
Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang
2023 J jnl
Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems.
Int. J. Comput. Intell. Syst.
Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
2023 J jnl
Teacher-student network for 3D point cloud anomaly detection with few normal samples.
Expert Syst. Appl.
Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang
2023 — conf
Weakly-Supervised Motion In-Betweening Learning via Pose Priors.
AICCC
Shun Maeda, Chunzhi Gu, Jun Yu, Chao Zhang
2022 B conf
Accelerating Fireworks Algorithm with Adaptive Scouting Strategy.
SMC
Jun Yu, Chao Zhang
2022 J jnl
Learning Disentangled Representations for Controllable Human Motion Prediction.
CoRR
Chunzhi Gu, Jun Yu, Chao Zhang
2022 — conf
Student-Teacher Anomaly Detection Considering Knowledge Consistency between Layer Groups.
GCCE
Kohei Nakazawa, Katsuya Hotta, Jun Yu, Chao Zhang
2022 J jnl
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples.
CoRR
Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang