Jun Yu

Orcid: 0000-0001-5029-0294

Affiliations:
  • Niigata University, Institute of Science and Technology, Niigata-shi, Japan


According to our database1, Jun Yu authored at least 37 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
2025
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5
10
15
20
7
16
3
3
6
2

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Bibliography

2025
A novel adjacent matrix-based probabilistic selection mechanism for differential evolution.
Clust. Comput., June, 2025

Group-driven Remora Optimization Algorithm with multiple search and regeneration strategies.
Clust. Comput., June, 2025

Symbiotic mechanism-based honey badger algorithm for continuous optimization.
Clust. Comput., April, 2025

Crested ibis algorithm and its application in human-powered aircraft design.
Knowl. Based Syst., 2025

Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction: Performance benchmarking and application in eye disease detection.
Comput. Biol. Medicine, 2025

Space mission trajectory optimization via competitive differential evolution with independent success history adaptation.
Appl. Soft Comput., 2025

LLMOA: A novel large language model assisted hyper-heuristic optimization algorithm.
Adv. Eng. Informatics, 2025

2024
Gene-targeting multiplayer battle game optimizer for large-scale global optimization via cooperative coevolution.
Clust. Comput., December, 2024

DEA<sup>2</sup>H<sup>2</sup>: differential evolution architecture based adaptive hyper-heuristic algorithm for continuous optimization.
Clust. Comput., December, 2024

A novel evolutionary status guided hyper-heuristic algorithm for continuous optimization.
Clust. Comput., December, 2024

Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework.
Clust. Comput., December, 2024

Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems.
Knowl. Inf. Syst., November, 2024

Hybrid remora crayfish optimization for engineering and wireless sensor network coverage optimization.
Clust. Comput., October, 2024

Multilevel saliency-guided self-supervised learning for image anomaly detection.
Signal Image Video Process., September, 2024

Multiplayer battle game-inspired optimizer for complex optimization problems.
Clust. Comput., September, 2024

Chaotic vegetation evolution: leveraging multiple seeding strategies and a mutation module for global optimization problems.
Evol. Intell., August, 2024

SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems.
Neural Comput. Appl., April, 2024

Learning disentangled representations for controllable human motion prediction.
Pattern Recognit., February, 2024

A multi-in and multi-out dendritic neuron model and its optimization.
Knowl. Based Syst., 2024

Large Language Model Assisted Adversarial Robustness Neural Architecture Search.
CoRR, 2024

Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation.
CoRR, 2024

Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows.
CoRR, 2024

Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search.
CoRR, 2024

Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine.
Proceedings of the Advances in Swarm Intelligence, 2024

Evolutionary Computation with Distance-Based Pretreatment for Multi-modal Problems.
Proceedings of the Advances in Swarm Intelligence, 2024

Balancing Feature Imitation and Knowledge Consistency for Improving Anomaly Detection.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

2023
Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems.
Int. J. Comput. Intell. Syst., December, 2023

Teacher-student network for 3D point cloud anomaly detection with few normal samples.
Expert Syst. Appl., October, 2023

Image-Pointcloud Fusion based Anomaly Detection using PD-REAL Dataset.
CoRR, 2023

Black-Box Targeted Adversarial Attack Based on Multi-Population Genetic Algorithm.
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.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

Generating Smooth Interpretability Map for Explainable Image Segmentation.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Improving Fish Freshness Classification with Fish Eye Segmentation Guidance.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

A Clicking Strategy Inspired by Inter-Individual Variation for Interactive Image Segmentation.
Proceedings of the 6th Artificial Intelligence and Cloud Computing Conference, 2023

Weakly-Supervised Motion In-Betweening Learning via Pose Priors.
Proceedings of the 6th Artificial Intelligence and Cloud Computing Conference, 2023

2022
Accelerating Fireworks Algorithm with Adaptive Scouting Strategy.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Student-Teacher Anomaly Detection Considering Knowledge Consistency between Layer Groups.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022


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