Research Achievements

Preprint

  1. Yawen ZOU, Chunzhi GU, Jun YU, Shangce GAO, and Chao ZHANG, "Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation"
  2. 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"
  3. 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"
  4. Yunfei ZHANG, Jun YU, Chunzhi GU, Takuya AKASHI, and Chao ZHANG, "Competitive Influence Payoff Maximization from the Community Perspective"
  5. Shun MAEDA, Chunzhi GU, Jun YU, Shogo TOKAI, Shangce GAO, Chao ZHANG, "Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows"
  6. Yang CAO, Rui ZHONG, Jun YU, and Masaharu MUNETOMO, "Forecasting Electricity Generation from Renewable Energy and Electricity Consumption via Auto-Evolution Hyper-Heuristic Algorithm"

Book/Book Chapter

  1. 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.

Journal Papers

  1. Rui ZHONG, Abdelazim G. HUSSIEN, Essam H. HOUSSEIN, and Jun YU, "Enhanced Crested Ibis Algorithm: Performance Validation in Benchmark Functions, Engineering Problem, and Application in Brain Tumor Detection," Expert Systems With Applications, vol. xx, pp. xx (Accepted May, 2025).
  2. 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).
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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)
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).
  15. 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).
  16. 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).
  17. 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).
  18. 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).
  19. 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).
  20. 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).
  21. 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).
  22. 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).
  23. 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).
  24. 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).
  25. 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).
  26. 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).
  27. 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).
  28. 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).
  29. 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).
  30. 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).
  31. 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).
  32. 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, 733-744, DOI: 10.1002/tee.24020 (February, 2024).
  33. 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).
  34. 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).
  35. 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).
  36. 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).
  37. 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).
  38. 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).
  39. 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).
  40. 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)
  41. 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).
  42. 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).
  43. 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).
  44. 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).
  45. 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).

International Conference Papers

  1. Yang CAO, Rui ZHONG, Jun YU, and Masaharu MUNETOMO, "Enhancing Competitive Swarm Optimization through Time-Adaptive Selection between Adjacency-Guided and Random Strategies," The Sixteenth International Conference on Swarm Intelligence (ICSI2025), Yokohama, Japan, pp. xx-xx (July 11-15, 2025).
  2. 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).
  3. 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).
  4. 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).
  5. Zi WANG, Katsuya HOTTA, Yu DING, Ryusuke TAKADA, Chao ZHANG, and Jun YU, "Improving Subspace Clustering by Combining Self-Expressive and Greedy Models," the 17th International Conference on Quality Control by Artificial Vision (QCAV2025), Yamanashi, Japan, pp. xx-xx (June 4-6, 2025).
  6. Wenqi CAI, Jun YU, Yawen ZOU, and Chao ZHANG, "Improving the Explainability of Neural Network by Downstream Post-Optimization," the 17th International Conference on Quality Control by Artificial Vision (QCAV2025), Yamanashi, Japan, pp. xx-xx (June 4-6, 2025).
  7. Yu DING, Koichiro KAMIDA, Jun YU, and Chao ZHANG, "Dynamically Adaptive Negative Pairs for Contrastive MultiView Clustering," the 17th International Conference on Quality Control by Artificial Vision (QCAV2025), Yamanashi, Japan, pp. xx-xx (June 4-6, 2025).
  8. 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).
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).
  15. 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).
  16. 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).
  17. 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).
  18. 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).
  19. 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).
  20. 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).
  21. 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).
  22. 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)
  23. 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).
  24. 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).
  25. 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).
  26. 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).
  27. 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).
  28. 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).
  29. 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).
  30. 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).
  31. 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).
  32. 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).
  33. 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).
  34. 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).
  35. 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).
  36. 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).
  37. 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).
  38. 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).
  39. 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).
  40. 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).
  41. 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).
  42. 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).
  43. 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)
  44. 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).
  45. 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).
  46. 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).
  47. 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)
  48. 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).
  49. 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).
  50. 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).
  51. 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).

Domestic Conference Papers

  1. Yuefeng XU, Rui ZHONG, Junqi ZHANG, Chao ZHANG, and Jun YU, "An Enhanced Two-Stage SFE with Adaptive Acceptance Selection and Flip-Flop Mutation for High-Dimensional Feature Selection," The 39th Annual Conference of the Japanese Society for Artificial Intelligence, Osaka, pp. xx-xx (May 27-30, 2025). (in English)(Peer-reviewed)
  2. Hiroto NAKATA, Yawen ZOU, Jun YU, and Chao ZHANG, "Logical Anomaly Detection using Natural Language Processing," Dynamic Image processing for real Application 2025, Tsuruga, pp. 139-143 (March 5-6, 2025).
  3. Koichiro KAMIDE, Chunzhi GU, Shun MAEDA, Jun YU, and Chao ZHANG, "One-Model-All-Category Human Action Anomaly Detection," Dynamic Image processing for real Application 2025, Tsuruga, pp. 356-360 (March 5-6, 2025).
  4. Yuefeng XU, Rui ZHONG, Junqi ZHANG, Chao ZHANG, and Jun YU, "Two-Stage Improved SFE Algorithm for High-Dimensional Feature Selection," 27th Evolutionary Computation Workshop, Kanagawa, pp. 138-145 (March 4-5, 2025). (in Japanese)
  5. Yuefeng XU, Rui ZHONG, Junqi ZHANG, Chao ZHANG, and Jun YU, "Deep Learning Model Lightening Based on Dynamic Pruning Rate Using Particle Swarm Optimization," 27th Evolutionary Computation Workshop, Kanagawa, pp. 146-153 (March 4-5, 2025). (in Japanese)
  6. Akira TAKAHASHI, Chao ZHANG, and Jun YU, "Use and Analysis of Saliency Map for Generating Adversarial Point Clouds by Point Perturbation," 27th Evolutionary Computation Workshop, Kanagawa, pp. 158-162 (March 4-5, 2025). (in Japanese)
  7. Kengo SASAKI, Chao ZHANG, and Jun YU, "Construction of Minimum Super Substitution Using Genetic Algorithm," 27th Evolutionary Computation Workshop, Kanagawa, pp. 181-184 (March 4-5, 2025). (in Japanese)
  8. Koichiro KAMIDE, Chunzhi GU, Shun MAEDA, Jun YU, and Chao ZHANG, "Few-shot 3D Human Action Anomaly Detection," Media Engineering, Online, pp. xx-xx (February 22, 2025). (in Japanese)(Research Encouragement Award)
  9. Shoki MAENO, Rui ZHONG, Chao ZHANG, and Jun YU, "Automated PFC-Balanced Recipe Generation via Deep Learning-Based Ingredient Recognition and Evolutionary Computation," Evolutionary Computation Symposium 2024, Shirahama, pp. 355-361 (December 20-22, 2024). (in Japanese)
  10. Gaku MASUDA, Jun YU, and Chao ZHANG, "Verification of Large Language Model Compression Using Quantization and LoRA," 2024 IEICE Shin-Etsu Branch Conference, Niigata, p. 59 (September 28, 2024). (in Japanese)
  11. Shoki MAENO, Jun YU, and Chao ZHANG, "Improving Food Classification Accuracy Using Deep Learning Models with Data Augmentation," 2024 IEICE Shin-Etsu Branch Conference, Niigata, p. 51 (September 28, 2024). (in Japanese)
  12. Shilong ZHANG, Rui ZHONG, Chao ZHANG, and Jun YU, "Performance Analysis of Multiplayer Battle Game-inspired Optimizer," 2024 IEICE Shin-Etsu Branch Conference, Niigata, p. 35 (September 28, 2024). (in English)
  13. Yuuto AIZA, Jun YU, and Chao ZHANG, "Optimizing Deep Learning Models with NAS and XAI: Balancing Performance and Explainability," The 32nd Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, Aizuwakamatsu, pp. 71-75 (September 18-19, 2024). (in Japanese)
  14. Akira TAKAHASHI, Chao ZHANG, and Jun YU, "Generation of 3D Adversarial Point Clouds Using Multi-Objective Optimization," The 32nd Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, Aizuwakamatsu, pp. 66-70 (September 18-19, 2024). (in Japanese)(Presentation Award)
  15. Fei PENG, and Jun YU, "Accelerating vegetation evolution with local fitness landscape surrogate model," 26th Evolutionary Computation Workshop, Osaka, pp. 53-58 (September 9-10, 2024).
  16. Akira TAKAHASHI, Chao ZHANG, and Jun YU, "Minimization of Perturbations to 3D Point Clouds Using Weighted Multi-Objective Optimization," 26th Evolutionary Computation Workshop, Osaka, pp. 49-52 (September 9-10, 2024). (in Japanese)
  17. Fumi SAITOU, and Jun YU, "Domain adaptation by pseudo-labeling using generative AI," 26th Evolutionary Computation Workshop, Osaka, pp. 34-38 (September 9-10, 2024). (in Japanese)
  18. Shun MAEDA, Chunzhi GU, Jun YU, and Chao ZHANG, "Multi-Level Human Motion Anomaly Detection in the Frequency Domain," 2024 Annual Conference on Electronics, Information and Systems, IEEJ, Osaka, pp. 662-665, (September 4-7, 2024). (in Japanese)(Peer-reviewed)
  19. Yu DING, Katsuya HOTTA, Chunzhi GU, Jun YU, and Chao ZHANG, "Combining Feature Statistics and Clustering for Image Anomaly Detection," 2024 Annual Conference on Electronics, Information and Systems, IEEJ, Osaka, pp. 658-661, (September 4-7, 2024). (in English)(Peer-reviewed)
  20. Takumi NAKANE, Tsubasa TAKANO, Jun YU, and Chao ZHANG, "Tactile Paving Detection via Multi-Objective Evolutionary Algorithm," 2024 Annual Conference on Electronics, Information and Systems, Osaka, pp. 653-657 (September 4-7, 2024). (in Japanese)(Peer-reviewed)
  21. Hiroto NAKATA, Katsuya HOTTA, Kohei NAKZAWA, Jun YU, and Chao ZHANG, "Combining Feature Statistics and Clustering for Image Anomaly Detection," The 38th Annual Conference of the Japanese Society for Artificial Intelligence, Hamamatsu, pp. 1-3, 3D1-GS-2-01 (May 28-31, 2024). (in Japanese)(Peer-reviewed)
  22. Rui ZHONG, Jun YU, Chao ZHANG, and Masaharu MUNETOMO, "A comprehensive performance investigation of metaheuristic algorithms in the adversarial robustness neural architecture search," 25th Evolutionary Computation Workshop, Yokohama, pp. 151-155 (March 21-22, 2024). (in Japanese)
  23. Kengo SASAKI, Chao ZHANG, and Jun YU, "Emotion Recognition from Partial Facial Expressions using a Two-Stage Generation Model with Contour Lines," 25th Evolutionary Computation Workshop, Yokohama, pp. 105-108 (March 21-22, 2024). (in Japanese)
  24. Akira TAKAHASHI, Chao ZHANG, and Jun YU, "Automatic Generation of Low-Perturbative Adversarial 3D Point Clouds Using Genetic Algorithms," 25th Evolutionary Computation Workshop, Yokohama, pp. 99-104 (March 21-22, 2024). (in Japanese)
  25. Kodai HAYASHI, and Jun YU, "Model training via labeled data augmentation using autoencoder based on particle swarm optimization," Evolutionary Computation Symposium 2023, Odawara, pp. 414-417 (December 21-23, 2023). (in Japanese)
  26. Akito SAITO, Chao ZHANG, and Jun YU, "Segmentation of Braille Blocks Using Multi-stage k-means Method," Evolutionary Computation Symposium 2023, Odawara, pp. 273-276 (December 21-23, 2023). (in Japanese)
  27. Dingxu LIU, Chao ZHANG, and Jun YU, "Detection of Abnormal Heartbeats Using Deep Learning with Fuzzy System," Evolutionary Computation Symposium 2023, Odawara, pp. 45-50 (December 21-23, 2023). (in Japanese)
  28. Akira TAKAHASHI, Chao ZHANG, and Jun YU, "Adversarial sample generation of 3D point cloud using random deletion method," Evolutionary Computation Symposium 2023, Odawara, pp. 33-37 (December 21-23, 2023). (in Japanese)
  29. Yuefeng XU, Rui ZHONG, Jun YU, Chao ZHANG, and Yasuhiro WATASHIBA, "Multi-Player Battle Royale Games Inspired Optimization Algorithm," Evolutionary Computation Symposium 2023, Odawara, pp. 14-18 (December 21-23, 2023). (in Japanese)
  30. Shun MAEDA, Chunzhi GU, Jun YU, and Chao ZHANG, "Anomaly detection of human movements using normalized flow," Vision Engineering Workshop 2023, Yokohama, pp. 128-130 (December 7-8, 2022). (in Japanese)(Peer-reviewed)
  31. Kengo SASAKI, Chao ZHANG, and Jun YU, "Image Generation Model Based Emotion Recognition for Partial Facial Expressions," 24th Evolutionary Computation Workshop, Kyoto, pp. 84-89 (September 12-13, 2023). (in Japanese)
  32. Yuefeng XU, Chao ZHANG, Jun YU, and Yasuhiro WATASHIBA, "Improved Honey Badger Algorithm based on Individual Cooperation Strategy and Random Walk," 24th Evolutionary Computation Workshop, Kyoto, pp. 31-33 (September 12-13, 2023). (in Japanese)
  33. Rui ZHONG, Yuefeng XU, Chao ZHANG, Jun YU, and Masaharu MUNETOMO, "SFE Algorithm Based on External Archive and Normalized Distance-based Selection," 24th Evolutionary Computation Workshop, Kyoto, pp. 77-83 (September 12-13, 2023).
  34. Fei PENG, Rui ZHONG, Chao ZHANG, and Jun YU, "Improved Sailfish Optimizer Algorithm Based on Search Strategies Switching Operation," 23rd Evolutionary Computation Workshop, Tokyo, pp. 78-81 (March 6-7, 2023).
  35. Yiliang LIN, Chao ZHANG, and Jun YU, "Generating Adversarial Examples from Random Noise Using Evolutionary Multi-Objective Optimization," 23rd Evolutionary Computation Workshop, Tokyo, pp. 74-77 (March 6-7, 2023).
  36. Dingxu LIU, Chao ZHANG, and Jun YU, "Robust Feature Selection Using Genetic Algorithm," 23rd Evolutionary Computation Workshop, Tokyo, pp. 38-41 (March 6-7, 2023).
  37. Yuuto AIZA, Chao ZHANG, and Jun YU, "Targeted Adversarial Attack Based on Genetic Algorithm with Variable Multi-population," Evolutionary Computation Symposium 2022, Hokkaido, pp. 76-80 (December 17-18, 2022). (in Japanese)
  38. Takuma UESHIMA, Katsuya HOTTA, Jun YU, and Chao ZHANG, "Segmentation of human body point clouds using knowledge distillation based on data augmentation," Vision Engineering Workshop 2022, on-line, pp. 260-264 (December 8-9, 2022). (in Japanese)(Peer-reviewed)
  39. Hiroshi KAWASHIMA, Chunzhi GU, Jun YU, and Chao ZHANG, "Re-identification of helmet position based on human detection," Vision Engineering Workshop 2022, on-line, pp. 70-73 (December 8-9, 2022). (in Japanese)(Peer-reviewed)
  40. Takumi NAKANE, Jun YU, and Chao ZHANG, "A Proposal for a Support System of Face Image Generation from StyleGAN Using Interactive Genetic Algorithm," 22nd Evolutionary Computation Workshop, Tokyo, pp. 64-68 (September 7-8, 2022). (in Japanese) (Best Presentation Award)
  41. Fei PENG, Chao ZHANG, and Jun YU, "Remora optimization algorithm based on multiple search strategies," 22nd Evolutionary Computation Workshop, Tokyo, pp. 41-45 (September 7-8, 2022).
  42. Yuuto AIZA, Chao ZHANG, and Jun YU, "Construction and training of NN model based on alternate learning of PSO and BP," 22nd Evolutionary Computation Workshop, Tokyo, pp. 9-13 (September 7-8, 2022). (in Japanese)
  43. Shuntaro OHNISHI, Chao ZHANG, and Jun YU, "Study on the output of the GANs generator by adjusting the input of the latent space using differential evolution," 21st Evolutionary Computation Workshop, on-line, pp. 117-121 (March 17-18, 2022). (in Japanese)
  44. Taiki MIYAMURA, Takumi NAKANE, Jun YU, and Chao ZHANG, "Study on the Introduction of a Dynamic Surrogate Model in Multi-Objective Evolutionary Optimization," 21st Evolutionary Computation Workshop, on-line, pp. 36-39 (March 17-18, 2022). (in Japanese)
  45. Yiliang LIN, and Jun YU, "Generation of adversarial examples based on the game idea of attack and recovery," Evolutionary Computation Symposium 2021, pp. 176-179 (December 25-26, 2021). (in Japanese)
  46. Shouya ISHIDA, and Jun YU, "Proposal of Multi-objective Vegetation Evolution Algorithm," 20th Evolutionary Computation Workshop, on-line, pp. 16-20 (September 8-9, 2021). (in Japanese)
  47. Jun YU, and Hideyuki TAKAGI, "Improved Scouting Strategy: Application to Fireworks Algorithm," 18th Evolutionary Computation Workshop, on-line, pp. 41-45 (September 15-16, 2020). (in Japanese)
  48. Jun YU, and Hideyuki TAKAGI, "Multi-species Generation Strategy Based Vegetation Evolution," 17th Evolutionary Computation Workshop, Tokyo, pp. 188-193 (February 28-29, 2020). (in Japanese)
  49. Jun YU, and Hideyuki TAKAGI, "Fireworks Algorithm with an Adaptive Population Size," Evolutionary Computation Symposium 2019, Minami-Awaji, pp. 206-209 (December 14-15, 2019). (in Japanese)
  50. Yuhao LI, Jun YU, and Hideyuki TAKAGI, "Niche Method Complementing the Nearest-better Clustering," Evolutionary Computation Symposium 2019, Minami-Awaji, pp. 152-156 (December 14-15, 2019). (in Japanese)
  51. Jun YU, and Hideyuki TAKAGI, "Niche Fireworks Algorithm by Distance-based Exclusive Strategy," 15th Evolutionary Computation Workshop, Yokohama, pp. 27-30 (March 7-8, 2019). (in Japanese)
  52. Jun YU, and Hideyuki TAKAGI, "Performance Analysis of Vegetation Evolution," Evolutionary Computation Symposium 2018, Fukuoka, pp. 17-21 (December 8-9, 2018). (in Japanese)
  53. Jun YU, and Hideyuki TAKAGI, "Vegetation Evolution for Numerical Optimization," JPNSEC International Workshop on Evolutionary Computation, Shenzhen, China, pp. 49-54 (August 31 - September 1, 2018).
  54. Jun YU, Ying TAN, and Hideyuki TAKAGI, "Scouting Strategy Applied to Fireworks Algorithm," 14th Evolutionary Computation Workshop, Koganei, pp. 106-110 (March 5-6, 2018). (in Japanese)
  55. Jun YU, and Hideyuki TAKAGI, "Estimated Convergence Points Applied to Evolutionary Computation", SIG ECOmp of Japan Society for Fuzzy Theory and Intelligent Informatics, Fukuoka (February 28, 2018).
  56. Jun YU, and Hideyuki TAKAGI, "Two-step approach for optimization problems with strong constraints," Evolutionary Computation Symposium 2017, Ohnuma, Hokkaido, pp. 38-41 (December 9-10, 2017). (in Japanese)
  57. Jun YU, and Hideyuki TAKAGI, "Accelerating Interactive Evolutionary Computation Using an Estimated Convergence Point," The 33rd Fuzzy System Symposium, Yonezawa, pp. 47-50 (September 13-15, 2017). (in Japanese)
  58. Jun YU, and Hideyuki TAKAGI, "Improving Estimation Precision of the Convergence Point of Individuals Using Weight-based Moving Vectors," 13th Evolutionary Computation Workshop, Kusatsu, pp. 59-63 (September 1-2, 2017). (in Japanese)
  59. Jun YU, and Hideyuki TAKAGI, "Estimation of local optima areas based on individual distance ranks and fitness ranks," 12th Evolutionary Computation Workshop, Fukuoka, pp. 203-206 (March 13-14, 2017). (in Japanese)
  60. Jun YU, and Hideyuki TAKAGI, "Fireworks Algorithm with local fitness gradient estimated from fitness values of local individuals," Evolutionary Computation Symposium 2016, Chiba, pp. 131-137 (December 10-11, 2016). (in Japanese)
  61. Jun YU, and Hideyuki TAKAGI, "Two-stage Explosions for Optimization Based on Fireworks Algorithm," 10th Evolutionary Computation Workshop, Kawasaki, pp. 19-23 (March 17-18, 2016). (in Japanese)
  62. Yan PEI, Jun YU, and Hideyuki TAKAGI, "Evaluation of EC Acceleration by Using Estimated Points," Evolutionary Computation Symposium 2015, Nishio, pp. 292-297 (December 19-20, 2015). (in Japanese)
  63. Jun YU, and Hideyuki TAKAGI, "Correction methods for improving estimated convergence points for multi-modal optimization," 9th Evolutionary Computation Workshop, Kobe, pp. 92-97 (September 7-8, 2015). (in Japanese)