CIL@Niigata University

研究業績

プレプリント

Yawen ZOU, Chunzhi GU, Jun YU, Shangce GAO, and Chao ZHANG, "Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation"
Yu DING, Katsuya HOTTA, Chunzhi GU, Ao LI, Jun YU, Chao ZHANG, "Learning to Discriminate While Contrasting: Combating False Negative Pairs with Coupled Contrastive Learning for Incomplete Multi-View Clustering"
Jie YIN, Li LIU, Shuning ZHANG, Jun YU, and Guanlong DENG, "Q-learning based multi-phase grey wolf optimization algorithm for distributed no-wait job shop problem to minimize makespan"
Yunfei ZHANG, Jun YU, Chunzhi GU, Takuya AKASHI, and Chao ZHANG, "Competitive Influence Payoff Maximization from the Community Perspective"
Shun MAEDA, Chunzhi GU, Jun YU, Shogo TOKAI, Shangce GAO, Chao ZHANG, "Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows"
Yang CAO, Rui ZHONG, Jun YU, and Masaharu MUNETOMO, "Forecasting Electricity Generation from Renewable Energy and Electricity Consumption via Auto-Evolution Hyper-Heuristic Algorithm"

書籍（章）

Jun YU and Hideyuki TAKAGI, Ch. 3 "Explosion Operation of Fireworks Algorithm," in Handbook of Research on Fireworks Algorithms and Swarm Intelligence, edited by Ying TAN, ISBN:9781799816591, pp. 56-70, IGI Global.

学術雑誌論文

Yang CAO, Xingbang DU, Jun YU, Rui ZHONG, and Masaharu MUNETOMO, "Dynamic Fitness-Distance Balance Competitive Swarm Optimizer: Performance Investigation, Engineering Simulation, and Application in Superconductor Critical Temperature Prediction," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. xx, Article number xx (Accepted April, 2025).
Yujun ZHANG, Zihang ZHANG, Rui ZHONG, Jun YU, Essam H. HOUSSEIN, Juan ZHAO, and Zhengming GAO "Under complex wind scenarios: Considering large-scale wind turbines in wind farm layout optimization via self-adaptive optimal fractional-order guided differential evolution," Energy, vol. 323, pp. 135866, DOI: 10.1016/j.energy.2025.135866 (May, 2025).
Fengyu LIU, Jinhe CHEN, Jun YU, and Rui ZHONG, "Next Point of Interest (POI) Recommendation System Driven by User Probabilistic Preferences and Temporal Regularities," Mathematics, vol. 13, no. 8, pp. 1232, DOI: 10.3390/math13081232 (April, 2025).
Rui ZHONG, Shilong ZHANG, Jun YU, and Masaharu MUNETOMO, "HHDE: A Hyper-heuristic Differential Evolution with Novel Boundary Repair Technique for Complex Optimization," The Journal of Supercomputing, vol. 81, Article number 696, DOI: 10.1007/s11227-024-06862-8 (April , 2025).
Rui ZHONG, Zhongmin WANG, Yujun ZHANG, Junbo Jacob LIAN, Jun YU, and Huiling CHEN, "Integrating Competitive Framework into Differential Evolution: Comprehensive Performance Analysis and Application in Brain Tumor Detection," Applied Soft Computing, vol. 174, pp. 112995, DOI: 10.1016/j.asoc.2025.112995 (April, 2025).
Rui ZHONG, Abdelazim G. HUSSIEN, Shilong ZHANG, Yuefeng XU, and Jun YU, "Space Mission Trajectory Optimization via Competitive Differential Evolution with Independent Success History Adaptation," Applied Soft Computing, vol. 171, pp. 112777, DOI: 10.1016/j.asoc.2025.112777 (March, 2025).
Rui ZHONG, Zhongmin WANG, Abdelazim G. Hussien, Essam H. Houssein, Ibrahim Alshourbaji, Mohamed A. Elseify, and Jun YU, "Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction: Performance Benchmarking and Application in Eye Disease Detection," Computers in Biology and Medicine, vol. 186, pp. 109587, DOI: 10.1016/j.compbiomed.2024.109587 (March, 2025)
Rui ZHONG, Abdelazim HUSSIEN, Jun YU, and Masaharu MUNETOMO, "LLMOA: A Novel Large Language Model assisted Hyper-heuristic Optimization Algorithm," Advanced Engineering Informatics, vol. 64, pp. 103042, DOI: 10.1016/j.aei.2024.103042 (March, 2025).
Yuefeng XU, Rui ZHONG, Chao ZHANG, and Jun YU, "Crested Ibis Algorithm and its Application in Human-Powered Aircraft Design," Knowledge-Based Systems, vol. 310, pp. 113020, DOI: 10.1016/j.knosys.2025.113020 (February, 2025).
Zhongmin WANG, Yujun ZHANG, Jun YU, YuanYuan GAO, Guangwei ZHAO, Essam H. HOUSSEIN, and Rui ZHONG, "Multi-strategy Enhanced Marine Predator Algorithm: Performance Investigation and Application in Intrusion Detection," Journal of Big Data, vol. 12, Article number 38, DOI: 10.1186/s40537-025-01080-2 (February, 2025).
Rui ZHONG, Yuefeng XU, Chao ZHANG, and Jun YU, "Efficient Multiplayer Battle Game Optimizer for Numerical Optimization and Adversarial Robust Neural Architecture Search," Alexandria Engineering Journal, vol. 113, pp. 150–168, DOI: 10.1016/j.aej.2024.11.035 (February, 2025).
Yang CAO, Jun YU, Rui ZHONG, and Masaharu MUNETOMO, "Forecasting Renewable Energy and Electricity Consumption Using Evolutionary Hyperheuristic Algorithm," Scientific Reports, vol. 15, Article number 2565, DOI: 10.1038/s41598-025-87013-8 (January, 2025).
Rui ZHONG, Shilong ZHANG, Yujun ZHANG, and Jun YU, "A Novel Adjacent Matrix-based Probabilistic Selection Mechanism for Differential Evolution," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 28, Article number 200, DOI: 10.1007/s10586-024-04915-4 (January, 2025).
Fei PENG, Rui ZHONG, Chao ZHANG, and Jun YU, "Group-Driven Remora Optimization Algorithm with multiple search and regeneration strategies," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 28, Article number 193, DOI: 10.1007/s10586-024-04910-9 (January, 2025).
Rui ZHONG, Chao ZHANG, and Jun YU, "Hierarchical RIME algorithm with Multiple Search Preferences for Extreme Learning Machine Training," Alexandria Engineering Journal, vol. 110, pp. 77-98, DOI: 10.1016/j.aej.2024.09.109 (January, 2025).
Shuofeng ZHAO, Chunzhi GU, Jun YU, Takuya AKASHI, and Chao ZHANG, "Interactive Skin Lesion Segmentation Considering Behavioral Preference in Clicking," IEEJ Transactions on Electrical and Electronic Engineering, vol. 20, no. 1, pp. 89-100, DOI: 10.1002/tee.24172 (January, 2025).
Rui ZHONG, Yang CAO, Essam H. HOUSSEIN, Jun YU, and Masaharu MUNETOMO, "SFE-EANDS: A Simple, Fast, and Efficient Algorithm with External Archive and Normalized Distance-based Selection for High-Dimensional Feature Selection," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. x, no. x, pp. xx-xx (Accepted December, 2024).
Yuefeng XU, Rui ZHONG, Yang CAO, Chao ZHANG, and Jun YU, "Symbiotic Mechanism-based Honey Badger Algorithm for Continuous Optimization," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 28, Article number 133, DOI: 10.1007/s10586-024-04765-0 (November, 2024).
Rui ZHONG, Chao ZHANG, and Jun YU, "Improved Snow Ablation Optimization for Multilevel Threshold Image Segmentation," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 28, Article number 16, DOI: 10.1007/s10586-024-04785-w (October, 2024).
Rui ZHONG, Chao ZHANG, and Jun YU, "Cooperative Coati Optimization Algorithm with Transfer Functions for Feature Selection and Knapsack Problems," Knowledge and Information Systems, vol. 66, no. 11, pp. 6933–6974, DOI: 10.1007/s10115-024-02179-3 (July, 2024).
Rui ZHONG, Yuefeng XU, Chao ZHANG, and Jun YU, "Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 27, pp. 13835–13869, DOI: 10.1007/s10586-024-04654-6 (July, 2024).
Jianjian QIN, Chunzhi GU, Jun YU, and Chao ZHANG, "Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection," Signal, Image and Video Processing, vol. 18, pp. 6339–6351, DOI: 10.1007/s11760-024-03320-z (June, 2024).
Rui ZHONG, and Jun YU, "Gene-Targeting Multiplayer Battle Game Optimizer for Large-scale Global Optimization via Cooperative Coevolution," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 27, pp. 12483–12508, DOI: 10.1007/s10586-024-04600-6 (June, 2024).
Rui ZHONG, and Jun YU, "DEA2H2: Differential Evolution Architecture based Adaptive Hyper-Heuristic Algorithm for Continuous Optimization," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 27, pp. 12239–12266, DOI: 10.1007/s10586-024-04587-0 (June, 2024).
Rui ZHONG, and Jun YU, "A Novel Evolutionary Status Guided Hyper-heuristic Algorithm for Continuous Optimization," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 27, pp. 12209–12238, DOI: 10.1007/s10586-024-04593-2 (June, 2024).
Tsubasa TAKANO, Takumi NAKANE, Jun YU, and Chao ZHANG, "Tactile Paving Detection and Tracking using Tenji10K Dataset," IEEJ Transactions on Electrical and Electronic Engineering, vol. 19, no. 10, pp. 1661-1672, DOI:10.1002/tee.24123 (May, 2024).
Rui ZHONG, Qinqin FAN, Chao ZHANG, and Jun YU, "Hybrid Remora Crayfish Optimization for Engineering and Wireless Sensor Network Coverage Optimization," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 27, pp. 10141–10168, DOI: 10.1007/s10586-024-04508-1 (May, 2024).
Yuefeng XU, Rui ZHONG, Chao ZHANG, and Jun YU, "Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems," Cluster Computing: the Journal of Networks, Software Tools and Applications, vol. 27, pp. 8307–8331, DOI: 10.1007/s10586-024-04448-w (April, 2024).
Tianrui WU, Jun YU, Qingchao JIANG, and Qinqin FAN, "An Unmanned System-guided Crowd Evacuation Method in Complex and Large-scale Evacuation Environments," IEEE Transactions on Automation Science and Engineering, vol. x, no. x, pp. xx–xx, DOI: 10.1109/TASE.2024.3371102 (Accepted February, 2024).
Yu DING, Jun YU, Chunzhi GU, Shangce GAO, and Chao ZHANG, "A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization," Knowledge-Based Systems, vol. 286, pp. 111442, DOI: 10.1016/j.knosys.2024.111442 (February, 2024).
Shuofeng ZHAO, Chunzhi GU, Jun YU, Takuya AKASHI, and Chao ZHANG, "TriClick: Interactive Dermoscopic Image Segmentation with Triangle Map," IEEJ Transactions on Electrical and Electronic Engineering, vol. 19, no. 5, pp.733–744, DOI: 10.1002/tee.24020 (February, 2024).
Rui ZHONG, Jun YU, Chao ZHANG, and Masaharu MUNETOMO, "SRIME: A strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems," Neural Computing and Applications, vol. 36, pp. 6721–6740, DOI: 10.1007/s00521-024-09424-4 (February, 2024).
Chunzhi GU, Jun YU, and Chao ZHANG, "Learning Disentangled Representations for Controllable Human Motion Prediction," Pattern Recognition, vol. 146, pp. 109998, DOI: 10.1016/j.patcog.2023.109998 (February, 2024).
Rui ZHONG, Fei PENG, Jun YU, and Masaharu MUNETOMO, "Q-Learning based Vegetation Evolution for Numerical Optimization and Wireless Sensor Network Coverage Optimization," Alexandria Engineering Journal, vol. 87, pp. 148–163, DOI: 10.1016/j.aej.2023.12.028 (January, 2024).
Rui ZHONG, Chao ZHANG, and Jun YU, "Chaotic Vegetation Evolution: Leveraging Multiple Seeding Strategies and a Mutation Module for Global Optimization Problems," Evolutionary Intelligence, vol. 17, pp. 2387–2411, DOI: 10.1007/s12065-023-00892-6 (January, 2024).
Rui ZHONG, Jun YU, Chao ZHANG, and Masaharu MUNETOMO, "Surrogate Ensemble-Assisted hyper-heuristic algorithm for Expensive Optimization Problems," International Journal of Computational Intelligence Systems, vol. 16, pp. 169, DOI: 10.1007/s44196-023-00346-y (October, 2023).
Jianjian QIN, Chunzhi GU, Jun YU, and Chao ZHANG, "Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples," Expert Systems with Applications, vol. 228, pp. 120371, DOI: 10.1016/j.eswa.2023.120371 (October, 2023).
Rui ZHONG, Fei PENG, Enzhi ZHANG, Jun YU, and Masaharu MUNETOMO, "Vegetation Evolution with Dynamic Maturity Strategy and Diverse Mutation Strategy for Solving Optimization Problems," Biomimetics, vol. 6, no. 8, pp. 454, DOI: 10.3390/biomimetics8060454 (September, 2023).
Ben NIU, Churong ZHANG, Jun YU, and Tianwei ZHOU, "A novel bacterial foraging optimization algorithm for dynamic aircraft parking stand allocation problem," Journal of Systems Engineering, vol.xx, no.xx, pp. xx-xx (Accepted October, 2022). (in Chinese)
Jun YU, "Vegetation Evolution: An Optimization Algorithm Inspired by the Life Cycle of Plants," International Journal of Computational Intelligence and Applications, vol. 21, no.2, pp. 2250010, DOI: 10.1142/S1469026822500109 (June, 2022).
Qinge XIAO, Congbo LI, Ying TANG, Jian PAN, Jun YU, and Xingzheng CHEN, "Multi-component energy modeling and optimization for sustainable dry gear hobbing," Energy, vol. 187, pp. 115911, DOI: 10.1016/j.energy.2019.115911 (November, 2019).
Jun YU, Yuhao LI, Yan PEI, and Hideyuki TAKAGI, "Accelerating Evolutionary Computation Using a Convergence Point Estimated by Weighted Moving Vectors," Complex and Intelligent Systems, vol. 6, pp. 55-65, DOI: 10.1007/s40747-019-0111-6 (May, 2019).
Yan PEI, Jun YU, and Hideyuki TAKAGI, "Search Acceleration of Evolutionary Multi-objective Optimization Using an Estimated Convergence Point," Mathematics, vol. 7, no. 2, pp. 129-147, DOI: 10.3390/math7020129 (January, 2019).
Jun YU, Hideyuki TAKAGI, and Ying TAN, "Multi-layer Explosion-Based Fireworks Algorithm," International Journal of Swarm Intelligence and Evolutionary Computation, vol. 7, no. 3, 9 pages, DOI: 10.4172/2090-4908.1000173 (December, 2018).

国際会議論文

Yang CAO, Rui ZHONG, Jun YU, and Masaharu MUNETOMO, "Adaptive Adjacency Distance Matrix-based Competitive Swarm Optimizer," The Sixteenth International Conference on Swarm Intelligence (ICSI2025), Yokohama, Japan, pp. xx-xx (July 11-15, 2025).
Shaojie CHEN, Jingjing WANG, Jun YU, Qingchao JIANG, and Qinqin FAN, "Adaptive Transfer Learning Assisted Multimodal Multi-objective Optimization Algorithm Based on Zoning Search," IEEE Congress on Evolutionary Computation (CEC2025), Hangzhou, China, pp. xx-xx (June 8-12, 2025).
Rui ZHONG, Jun YU, Xingbang DU, Enzhi ZHANG, and Abdelazim Hussien, "Improved Competitive Swarm Optimizer with Linear Population Reduction for Large-scale Optimization," IEEE Congress on Evolutionary Computation (CEC2025), Hangzhou, China, pp. xx-xx (June 8-12, 2025).
Yuefeng XU, Rui ZHONG, Chong ZHOU, Chao ZHANG, and Jun YU, "Leveraging Inter-Generational Knowledge Transfer for Accelerating Large-Scale Global Optimization," IEEE Congress on Evolutionary Computation (CEC2025), Hangzhou, China, pp. xx-xx (June 8-12, 2025).
Yang CAO, Rui ZHONG, Jun YU, and Masaharu MUNETOMO, "Adjacent Distance Matrix-based Competitive Swarm Optimizer," EvoStar 2025, Trieste, Italy, pp. 38-51 (April 23-25, 2025).
Zi WANG, Yu DING, Yawen ZOU, Chao ZHANG, Jun YU, "Accelerating Surrogate-Assisted Multi-Objective Evolutionary Optimization via a Dynamic Surrogate Model with Archive Updating," 2025-17th International Conference on Knowledge and Smart Technology, Bangkok, Thailand, pp. xx-xx (February 26 - March 1, 2025).
Yawen ZOU, Chunzhi GU, Zi WANG, Guang LI, Jun YU, and Chao ZHANG, "Handling Class Imbalance in Black-Box Unsupervised Domain Adaptation with Synthetic Minority Over-Sampling," 2024 IEEE International Conference on Visual Communications and Image Processing (VCIP2024), Tokyo, Japan, pp. xx-xx (December 8-11, 2024).
Akira TAKAHASHI, Chao ZHANG, and Jun YU, "Generating Adversarial Examples for 3D Point Clouds Using Evolutionary Algorithms," 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024), Himeji, Japan, 6 pages (November 9-12, 2024).
Shilong ZHANG, Yuefeng XU, Rui ZHONG, Chao ZHANG, and Jun YU, "Simplified Multiplayer Battle Game-inspired Optimizer with Diverse Search Strategies," 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024), Himeji, Japan, 6 pages (November 9-12, 2024).
Fei PENG, Rui ZHONG, Chao ZHANG, and Jun YU, "Accelerating Vegetation Evolution with Gradient Descent and Martingale Strategies," The 8th Asian Conference on Artificial Intelligence Technology (ACAIT2024), Fuzhou, China, pp. xx-xx (November 8-10, 2024).
Zi WANG, Katsuya HOTTA, Kohei NAKAZAWA, Chao ZHANG, and Jun YU, "Balancing Feature Imitation and Knowledge Consistency for Improving Anomaly Detection," IEEE 13th Global Conference on Consumer Electronics (GCCE2024), Kokura, Japan, pp. 1409-1410 (October 29-November 1, 2024).
Yuefeng XU, Rui ZHONG, Chao ZHANG, and Jun YU, "Evolutionary Computation with Distance-based Pretreatment for Multimodal Problems," The Fifteenth International Conference on Swarm Intelligence (ICSI2024), Xining, China, pp. 313-322 (August 23-26, 2024).
Rui ZHONG, Yang CAO, Jun YU, and Masaharu MUNETOMO, "Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine," The Fifteenth International Conference on Swarm Intelligence (ICSI2024), Xining, China, pp. 235-246 (August 23-26, 2024).
Rui ZHONG, Yang CAO, Jun YU, and Masaharu MUNETOMO, "Large Language Model Assisted Adversarial Robustness Neural Architecture Search," The 6th International Conference on Data-driven Optimization of Complex Systems (DOCS2024), Hangzhou, China, pp. 433-437 (August 16-18, 2024).
Yang CAO, Rui ZHONG, Jun YU, and Masaharu MUNETOMO, "Optimization of Electricity Consumption Forecasting Models via Hyper-heuristic Algorithm," The 6th International Conference on Data-driven Optimization of Complex Systems (DOCS2024), Hangzhou, China, pp. 114-120 (August 16-18, 2024).
Rui ZHONG, Shilong ZHANG, Jun YU, and Masaharu MUNETOMO, "GeminiDE: A Novel Parameter Adaptation Scheme in Differential Evolution," The 6th International Conference on Data-driven Optimization of Complex Systems (DOCS2024), Hangzhou, China, pp. 33-38 (August 16-18, 2024).
Rui ZHONG, Jun YU, and Masaharu MUNETOMO, "Hyper-heuristic Differential Evolution with Novel Boundary Repair for Numerical Optimization," PDPTA'24 Workshop on Mathematical Modeling and Problem Solving (PDPTA'24 Workshop on MPS), Las Vegas, USA, 5 pages (July 22-25, 2024).
Shuofeng ZHAO, Chunzhi GU, Jun YU, and Chao ZHANG, "A Clicking Strategy Inspired by Inter-Individual Variation for Interactive Image Segmentation," the 2023 6th Artificial Intelligence and Cloud Computing Conference (AICCC 2023), Kyoto, Japan, pp. 78-83 (December 16-18, 2023).
Shun MAEDA, Chunzhi GU, Jun YU, and Chao ZHANG, "Weakly-Supervised Motion In-Betweening Learning via Pose Priors," the 2023 6th Artificial Intelligence and Cloud Computing Conference, (AICCC 2023), Kyoto, Japan, pp. 1-6 (December 16-18, 2023). (Best Presentation Award)
Jianjian QIN, Chunzhi GU, Jun YU, and Chao ZHANG, "PD-Real: A 3D Anomaly Detection Dataset with Play-Doh and RealSense," The 7th Asian Conference on Artificial Intelligence Technology (ACAIT2023), Jiaxing, China, pp. 909-913 (November 10-12, 2023).
Fei PENG, Rui ZHONG, Qinqin FAN, Chao ZHANG, and Jun YU, "Improving Sailfish Optimizer with Population Switching Strategy and Random Mutation Strategy," The 7th Asian Conference on Artificial Intelligence Technology (ACAIT2023), Jiaxing, China, pp. 713-720 (November 10-12, 2023).
Chao ZHANG, Katsuya HOTTA, Takuma UESHIMA, Jun YU, and Chunzhi GU, "Augment with Teacher and Distill with Student: A Two-Stage Teacher-Student Network Training Scheme for 3D Human Segmentation," 2023 12th International Conference on Computing and Pattern Recognition (ICCPR 2023), Qingdao, China, pp. 375-379 (October 27-29, 2023).
Daichi KATO, Chunzhi GU, Jun YU, and Chao ZHANG, "Improving Fish Freshness Classification With Fish Eye Segmentation Guidance," 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023), Nara, Japan, pp. 1157-1158 (October 10-13, 2023).
Takaya OKAMOTO, Chunzhi GU, Jun YU, and Chao ZHANG, "Generating Smooth Interpretability Map for Explainable Image Segmentation," 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE 2023), Nara, Japan, pp. 1027-1029 (October 10-13, 2023).
Ying ZHAO, Jun YU, and Yan PEI, "Fitness Landscape Approximation with Dimensionality Reduction Using Muti-dimensional Scaling," The 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC2023), Hawaii, USA, pp. 2862-2867 (October 1-4, 2023).
Yuuto AIZA, Chao ZHANG, and Jun YU, "Black-Box Targeted Adversarial Attack based on Multi-Population Genetic Algorithm," The 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC2023), Hawaii, USA, pp. 317-322 (October 1-4, 2023).
Chao ZHANG, Hiroshi KAWASHIMA, Jun YU, and Chunzhi GU, "Improving Helmet-Wearing Detection with Human Detection," NICOGRAPH International 2023, Hokkaido, Japan, pp. 11-14 (June 9-10, 2023).
Jun YU, and Yan PEI, "Chaotic Evolution for Multimodal Optimization Based on Multi-rule Generation Strategy," 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS2022), Mie, Japan, pp. 1-6 (November 29 - December 2, 2022).
Kohei NAKAZAWA, Katsuya HOTTA, Jun YU, and Chao ZHANG, "Student-Teacher Anomaly Detection Considering Knowledge Consistency between Layer Groups," 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE2022), Osaka, Japan, pp. 388-389 (October 18-21, 2022).
Jun YU, and Chao ZHANG, "Accelerating Fireworks Algorithm with Adaptive Scouting Strategy," The 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC2022), Prague, Czech Republic, pp. 1474-1479 (October 9-12, 2022).
Jun YU, Yuhao LI, Tianwei ZHOU, Churong ZHANG, Guanghui YUE, and Yunjiao GE, "Performance Analysis of Evolutionary Computation Based on Tianchi Service Scheduling Problem," 12th International Conference on Swarm Intelligence (ICSI2021), Qingdao, China, pp. 155-162 (July 17-21, 2021).
Jun YU, Zitong WANG, and Yan PEI, "Cooperative Chaotic Evolution," 2021 IEEE Congress on Evolutionary Computation (CEC2021), Kraków, Poland (on-line), pp. 1357-1364 (June 28 - July 1, 2021).
Jun YU, and Hideyuki TAKAGI, "Accelerating Fireworks Algorithm with Dynamic Population Size Strategy," 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS2020), Hachijo island, Tokyo, Japan, pp. 276-281 (December 5-8, 2020).
Churong ZHANG, Jun YU, and Ben NIU, "Bacterial Foraging Optimization Based on Multi-colony Cooperation Strategy," 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), Canberra, Australia, pp. 1543-1548 (December 1-4, 2020).
Jun YU, and Ben NIU, "Simplified Bacterial Foraging Optimization Based on Reverse Chemotaxis Strategy," 2020 IEEE Congress on Evolutionary Computation (CEC2020), Glasgow, United Kingdom, 6 pages (July 19-24, 2020).
Jun YU, and Hideyuki TAKAGI, "Multi-species Generation Strategy-Based Vegetation Evolution," 2020 IEEE Congress on Evolutionary Computation (CEC2020), Glasgow, United Kingdom, 6 pages (July 19-24, 2020).
Jun YU, and Hideyuki TAKAGI, "Accelerating Vegetation Evolution with Mutation Strategy and Gbased Growth Strategy," The 2019 IEEE Symposium Series on Computational Intelligence (SSCI2019), Xiamen, China, pp. 3040-3046 (December 6-9, 2019).
Yuhao LI, Jun YU, and Hideyuki TAKAGI, "Niche Method Complementing the Nearest-better Clustering," The 2019 IEEE Symposium Series on Computational Intelligence (SSCI2019), Xiamen, China, pp. 3072-3078 (December 6-9, 2019).
Jun YU, and Hideyuki TAKAGI, "Performance Analysis of Vegetation Evolution," The 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019), Bari, Italy, pp. 2214-2219 (October 6-9, 2019).
Yuhao LI, Jun YU, Hideyuki TAKAGI, and Ying TAN, "Accelerating Fireworks Algorithm with Weight-based Guiding Sparks," 10th International Conference on Swarm Intelligence (ICSI2019), Chiang Mai, Thailand, pp. 257-266 (July 26-30, 2019). (Best Student Paper)
Jun YU, Hideyuki TAKAGI, and Ying TAN, "Fireworks Algorithm for Multimodal Optimization Using a Distance-based Exclusive Strategy," 2019 IEEE Congress on Evolutionary Computation (CEC2019), Wellington, New Zealand, pp. 2215-2220 (June 10-13, 2019).
Jun YU, Yan PEI, and Hideyuki TAKAGI, "Competitive Strategies for Differential Evolution," The 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018), Miyazaki, Japan, pp. 268-273 (October 7-10, 2018).
Jun YU, Ying TAN, and Hideyuki TAKAGI, "Scouting Strategy for Biasing Fireworks Algorithm Search to Promising Directions," The Genetic and Evolutionary Computation Conference Companion (GECCO2018), Kyoto, Japan, pp. 99-100 (July 15-19, 2018).
Jun YU, Ying TAN, and Hideyuki TAKAGI, "Accelerating Fireworks Algorithm with an Estimated Convergence Point," 9th International Conference on Swarm Intelligence (ICSI2018), Shanghai, China, pp. 263-272 (June 17-22, 2018). (Best Student Paper)
Jun YU, and Hideyuki TAKAGI, "Estimation of Convergence Points of Population Using an Individual Pool," 10th International Workshop on Computational Intelligence & Applications (IWCIA2017), Hiroshima, Japan, pp. 67-72 (November 11-12, 2017).
Jun YU, and Hideyuki TAKAGI, "Acceleration for Fireworks Algorithm Based on Amplitude Reduction Strategy and Local Optima-based Selection Strategy," 8th International Conference on Swarm Intelligence (ICSI2017), Fukuoka, Japan, pp. 477-484 (July 27 - August 1, 2017).
Jun YU, Yan PEI, and Hideyuki TAKAGI, "Accelerating Evolutionary Computation Using Estimated Convergence Points," 2016 IEEE Congress on Evolutionary Computation (CEC2016), Vancouver, Canada, pp. 1438-1444 (July 24-29, 2016).
Jun YU, and Hideyuki TAKAGI, "Clustering of Moving Vectors for Evolutionary Computation," 7th International Conference on Soft Computing and Pattern Recognition (SoCPaR2015), pp. 169-174, Fukuoka, Japan (November 13-15, 2015).

国内研究会論文

Yuefeng XU，Rui ZHONG，Junqi ZHANG，Chao ZHANG，Jun YU「An Enhanced Two-Stage SFE with Adaptive Acceptance Selection and Flip-Flop Mutation for High-Dimensional Feature Selection」2025年度人工知能学会全国大会（第39回），大阪，pp. xx-xx（2025年5月27ー30日）．（査読あり）
中田仁人，鄒亜文，余俊，張潮「Logical Anomaly Detection using Natural Language Processing」動的画像処理実利用化ワークショップ2025，敦賀，pp. 139-143（2025年3月5ー6日）．
上出耕一郎，顧淳祉，前田駿，余俊，張潮「One-Model-All-Category Human Action Anomaly Detection」動的画像処理実利用化ワークショップ2025，敦賀，pp. 356-360（2025年3月5ー6日）．
徐岳楓，鐘睿，張軍旗，張潮，余俊「高次元特徴選択のための二段階式改良型SFEアルゴリズム」第27回進化計算学会研究会，神奈川，pp. 138-145（2025年3月4ー5日）．
徐岳楓，鐘睿，張軍旗，張潮，余俊「粒子群最適化を用いた動的プルーニング率に基づく深層学習モデル軽量化」第27回進化計算学会研究会，神奈川，pp. 146-153（2025年3月4ー5日）．
高橋輝，張潮，余俊「点摂動による敵対的点群生成への顕著性マップの利用と分析」第27回進化計算学会研究会，神奈川，pp. 158-162（2025年3月4ー5日）．
佐々木健吾，張潮，余俊「遺伝的アルゴリズムを用いた最小超置換の構築」第27回進化計算学会研究会，神奈川，pp. 181-184（2025年3月4ー5日）．
上出耕一郎，顧淳祉，前田駿，余俊，張潮「Few-shot三次元人物動作異常検知」メディア工学研究会，オンライン，pp. xx-xx（2025年2月22日）．（研究奨励賞）
前野翔紀，鐘睿，張潮，余俊「深層学習ベースの食材認識と進化計算によるPFCバランスレシピの自動生成」進化計算シンポジウム2024，白浜，pp. 355-361（2024年12月20ー22日）．
舛田岳，余俊，張潮「量子化とLoRAを用いた大規模言語モデルの軽量化に関する検証」2024年度IEICE信越支部大会，新潟，p. 59（2024年9月28日）．
前野翔紀，余俊，張潮「データ拡張を用いた深層学習モデルによる食材分類の精度向上」2024年度IEICE信越支部大会，新潟，p. 51（2024年9月28日）．
張士龍，鐘睿，張潮，余俊「Performance Analysis of Multiplayer Battle Game-inspired Optimizer」2024年度IEICE信越支部大会，新潟，p. 35（2024年9月28日）．
相座悠寿，余俊，張潮「NAS技術とXAIによる深層学習モデルの最適設計：性能と説明可能性の両立」第32回インテリジェント・システム・シンポジウム，会津若松，pp. 71-75（2024年9月18ー19日）．
高橋輝，張潮，余俊「多目的最適化を用いた3次元敵対的点群の生成」第32回インテリジェント・システム・シンポジウム，会津若松，pp. 66-70（2024年9月18ー19日）．（プレゼンテーション賞）
彭飛，余俊「Accelerating vegetation evolution with local fitness landscape surrogate model」第26回進化計算学会研究会，大阪，pp. 53-58（2024年9月9ー10日）．
高橋輝，張潮，余俊「重み付け多目的最適化による3次元点群への摂動最小化」第26回進化計算学会研究会，大阪，pp. 49-52（2024年9月9ー10日）．
齊藤郁，余俊「生成AIを用いた疑似ラベリングによるドメイン適応」第26回進化計算学会研究会，大阪，pp. 34-38（2024年9月9ー10日）．
前田駿，顧淳祉，余俊，張潮「周波数領域におけるマルチレベル人物動作異常検知」2024年電気学会電子・情報・システム部門大会，大阪，pp. 662ー665，（2024年9月4ー7日）．（査読あり）
丁宇，堀田克哉，顧淳祉，余俊，張潮「A Cross-View Re-Alignment Approach for Incomplete Multi-View Contrastive Clustering」2024年電気学会電子・情報・システム部門大会，大阪，pp. 658ー661，（2024年9月4ー7日）．（査読あり）
中根拓未，高野翼，余俊，張潮「多目的進化アルゴリズムを用いた点字ブロック検出手法の提案」2024年電気学会電子・情報・システム部門大会，大阪，pp. 653-657（2024年9月4ー7日）．（査読あり）
中田仁人，堀田克哉，中澤航平，余俊，張潮「特徴量の統計量およびクラスタリングを併用した画像異常検知」人工知能学会全国大会（第38回），浜松，pp. 1ー3，3D1-GS-2-01（2024年5月28ー31日）．（査読あり）
鐘睿，余俊，張潮，棟朝雅晴「A comprehensive performance investigation of metaheuristic algorithms in the adversarial robustness neural architecture search」第25回進化計算学会研究会，横浜，pp. 151-155（2024年3月21ー22日）．
佐々木健吾，張潮，余俊「輪郭線を導入した2段階の生成モデルによる部分表情からの感情認識」第25回進化計算学会研究会，横浜，pp. 105-108（2024年3月21ー22日）．
高橋輝，張潮，余俊「遺伝的アルゴリズムを用いた低摂動な敵対的3次元点群の自動生成」第25回進化計算学会研究会，横浜，pp. 99-104（2024年3月21ー22日）．
林皓大，余俊「粒子群最適化を用いたオートエンコーダによるラベル付きデータ拡張を通じたモデルの学習」進化計算シンポジウム2023，小田原，pp. 414-417（2023年12月21ー23日）．
齊藤陽仁，張潮，余俊「多段階k-means 法を用いた点字ブロックのセグメンテーション」進化計算シンポジウム2023，小田原，pp. 273-276（2023年12月21ー23日）．
劉定旭，張潮，余俊「ファジィシステムを用いた深層学習による心拍異常の検知」進化計算シンポジウム2023，小田原，pp. 45-50（2023年12月21ー23日）．
高橋輝，張潮，余俊「ランダム削除法を用いた3 次元点群の敵対的サンプル生成」進化計算シンポジウム2023，小田原，pp. 33-37（2023年12月21ー23日）．
徐岳楓，鐘睿，余俊，張潮，渡場康弘「マルチプレイヤーバトルロイヤルゲームに着想を得た最適化アルゴリズム」進化計算シンポジウム2023，小田原，pp. 14-18（2023年12月21ー23日）．
前田駿，顧淳祉，余俊，張潮「正規化フローを用いた人物動作の異常検知」ビジョン技術の実利用ワークショップ2023，横浜，pp. 128-130（2023年12月7ー8日）．（査読あり）
佐々木健吾，張潮，余俊「画像生成モデルを用いた部分表情からの感情認識」第24回進化計算学会研究会，京都，pp. 84-89（2023年9月12ー13日）．
徐岳楓，張潮，余俊，渡場康弘「個体協力戦略およびランダムウォークに基づくラーテルアルゴリズム」第24回進化計算学会研究会，京都，pp. 31-33（2023年9月12ー13日）．
鐘睿，徐岳楓，張潮，余俊，棟朝雅晴「外部アーカイブと正規化距離ベース選択を導入したSFEアルゴリズム」第24回進化計算学会研究会，京都，pp. 77-83（2023年9月12ー13日）．
彭飛，鐘睿，張潮，余俊「Improved Sailfish Optimizer Algorithm Based on Search Strategies Switching Operation」第23回進化計算学会研究会，東京，pp. 78-81（2023年3月6ー7日）．
林毅梁，張潮，余俊「進化型多目的最適化を用いたランダムノイズからの敵対的サンプルの生成」第23回進化計算学会研究会，東京，pp. 74-77（2023年3月6ー7日）．
劉定旭，張潮，余俊「遺伝的アルゴリズムを用いた安定的な特徴量選択」第23回進化計算学会研究会，東京，pp. 38-41（2023年3月6ー7日）．
相座悠寿，張潮，余俊「可変多集団を用いた遺伝的アルゴリズムに基づく標的型の敵対的攻撃」進化計算シンポジウム2022，北海道，pp. 76-80（2022年12月17ー18日）．
上島拓真，堀田克哉，余俊，張潮「データ拡張に基づく知識蒸留を用いた人体点群セグメンテーション」ビジョン技術の実利用ワークショップ2022，オンライン，pp. 260-264（2022年12月8ー9日）．（査読あり）
川島博，顧淳祉，余俊，張潮「人物検出によるヘルメット位置の再特定」ビジョン技術の実利用ワークショップ2022，オンライン，pp. 70-73（2022年12月8ー9日）．（査読あり）
中根拓未，余俊，張潮「対話型遺伝的アルゴリズムを用いたStyleGANからの顔画像生成支援システムの提案」第22回進化計算学会研究会，東京，pp. 64-68（2022年9月7ー8日）．（プレゼンテーション賞）
彭飛，張潮，余俊「小判鮫最適化アルゴリズムへのマルチ探索戦略の導入」第22回進化計算学会研究会，東京，pp. 41-45（2022年9月7ー8日）．
相座悠寿，張潮，余俊「PSOとBPの交互学習に基づくNNモデルの構築と訓練」第22回進化計算学会研究会，東京，pp. 9-13（2022年9月7ー8日）．
大西駿太朗，張潮，余俊「差分進化を用いた潜在空間の入力調整によるGANs生成器の出力検討」第21回進化計算学会研究会，オンライン，pp. 117-121（2022年3月17ー18日）．
宮村大輝，中根拓未，余俊，張潮「多目的進化的最適化における動的代理モデルの導入に関する検討」第21回進化計算学会研究会，オンライン，pp. 36-39（2022年3月17ー18日）．
林毅梁，余俊「Generation of adversarial examples based on the game idea of attack and recovery」進化計算シンポジウム2021，オンライン，pp. 176-179（2021年12月25ー26日）．
石田将也，余俊「多目的植物進化アルゴリズムの提案」第20回進化計算学会研究会，オンライン，pp. 16-20（2021年9月8ー9日）．
余俊，高木英行「改良型偵察戦略：花火アルゴリズムへの応用」第18回進化計算学会研究会，オンライン，pp. 41-45（2020年9月15ー16日）．
余俊，高木英行「多種生成戦略を導入した植物進化アルゴリズム」第17回進化計算学会研究会，東京，pp. 188-193（2020年2月28ー29日）．
余俊，高木英行「花火個体数の適応型花火アルゴリズム」進化計算シンポジウム2019，南あわじ市，pp. 206-209（2019年12月14ー15日）．
李宇豪，余俊，高木英行「Nearest-better Clustering法の補完ニッチ手法」進化計算シンポジウム2019，南あわじ市，pp. 152-156（22019年12月14ー15日）．
余俊，高木英行「距離ベース排他戦略導入によるニッチ花火アルゴリズム」第15回進化計算研究会，横浜，pp. 27-30（2019年3月7ー8日）．
余俊，高木英行「植物進化アルゴリズムの性能解析」進化計算シンポジウム2018，福岡，pp. 17-21（2018年12月8ー9日）．
余俊，高木英行「Vegetation Evolution for Numerical Optimization」JPNSEC International Workshop on Evolutionary Computation，深圳，中国，pp. 49-54（2018年8月31日ー9月1日）．
余俊，譚営，高木英行「花火アルゴリズムへの偵察戦略導入」第14回進化計算学会研究会，小金井，pp. 106-110（2018年3月5ー6日）．
余俊，高木英行「Estimated Convergence Points Applied to Evolutionary Computation」日本知能情報ファジィ学会ECOmp研究部会2018，福岡（2018年2月28日）．
余俊，高木英行「強制約条件付き最適化問題の2段階探索」進化計算シンポジウム2017，北海道茅部郡森町，pp. 38-41（2017年12月9ー10日）．
余俊，高木英行「推定収束点を用いた対話型進化計算高速化の可能性」第33回ファジィシステムシンポジウム，米沢，pp. 47-50（2017年9月13日ー15日）．
余俊，高木英行「信頼性重みを導入した個体群の収束点推定精度の向上」第13回進化計算学会研究会，草津，pp. 59-63（2017年9月1ー2日）．
余俊，高木英行「個体間距離順位とフィットネス順位に基づく局所解領域の推定」第12回進化計算学会研究会，福岡，pp. 203-206（2017年3月13ー14日）．
余俊，高木英行「局所個体群のfitnessに基づくfitness景観の勾配推定を導入した花火アルゴリズム」進化計算シンポジウム2016，長生郡一宮町，pp. 131-137（2016年12月10ー11日）．
余俊，高木英行「八重芯型花火アルゴリズム」第10回進化計算研究会，川崎，pp.19-23（2016年3月17ー18日）．
裴岩，余俊，高木英行「推定収束点を用いた進化計算高速化の評価」進化計算シンポジウム2015，西尾，pp. 292-297（2015年12月19ー20日）．
余俊，高木英行「多峰性最適化問題での局所最適解推定高度化のための補正法--局所最適解が2個の場合--」第9回進化計算研究会，神戸，pp. 92-97（2015年9月7ー8日）．