Research Achievements

Preprint

  1. Shaojie CHEN, Jun YU, Wentao HUANG, Qingchao JIANG, and Qinqin FAN, "A Multimodal Multi-objective Optimization Algorithm Based on Zoning Search and Adaptive Transfer Learning"
  2. Rui ZHONG, Jun YU, Chao ZHANG, and Masaharu MUNETOMO, "SFE-EANDS: Simple, Fast, and Efficient Algorithm with External Archive and Normalized Distance-based Selection for High-Dimensional Feature Selection"
  3. Rui ZHONG, Chao ZHANG, and Jun YU, "Snow ablation optimization with asynchronous update strategy and top-k survival mechanism for global optimization"
  4. Rui ZHONG, Chao ZHANG, and Jun YU, "Cooperative Coati Optimization Algorithm with Transfer Functions for Feature Selection and Knapsack Problems"
  5. Jianjian QIN, Chunzhi GU, Jun YU, and Chao ZHANG, "Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection".
  6. Rui ZHONG, Yuefeng XU, Chao ZHANG, and Jun YU, "Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework".
  7. Rui ZHONG, Yuefeng XU, Chao ZHANG, and Jun YU, "Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search".
  8. Rui ZHONG, Chao ZHANG, and Jun YU, "DEA2H2: Differential Evolution Architecture based Adaptive Hyper-Heuristic Algorithm for Continuous Optimization".
  9. Rui ZHONG, Chao ZHANG, and Jun YU, "Hierarchical RIME algorithm with Multiple Search Preferences for Extreme Learning Machine Training".
  10. Shuofeng ZHAO, Chunzhi GU, Jun YU, Takuya AKASHI, and Chao ZHANG, "Interactive Skin Lesion Segmentation Considering Behavioral Preference in Clicking"

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. 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).
  2. 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).
  3. 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).
  4. 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).
  5. 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).
  6. 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)
  7. 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).
  8. 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).
  9. 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).
  10. 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. xx, no. xx, pp. xx-xx, DOI: 10.1007/s12065-023-00892-6 (January, 2024).
  11. 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).
  12. 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).
  13. 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).
  14. 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.xx-xx, DOI: 10.1002/tee.24020 (Accepted January, 2024).
  15. 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).
  16. 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).
  17. Yuefeng XU, Rui ZHONG, Chao ZHANG, and Jun YU, "Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems," Cluster Computing, vol. x, no. x, pp. xx-xx (Accepted March, 2024).
  18. Rui ZHONG, Qinqin FAN, Chao ZHANG, and Jun YU, "Hybrid Remora Crayfish Optimization for Engineering and Wireless Sensor Network Coverage Optimization," Cluster Computing, vol. x, no. x, pp. xx-xx (Accepted April, 2024).
  19. 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. xx-xx (Accepted April, 2024).

International Conference Papers

  1. 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).
  2. 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).
  3. 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).
  4. 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).
  5. 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)
  6. 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).
  7. 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).
  8. 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).
  9. 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)
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).
  15. 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).
  16. 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).
  17. 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).
  18. 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).
  19. 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).
  20. 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).
  21. 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).
  22. 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).
  23. 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).
  24. 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).
  25. 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).
  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. 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. xx-xx (October 27-29, 2023).
  28. 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), Quzhou, China, pp. xx-xx (November 10-12, 2023).
  29. 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), Quzhou, China, pp. xx-xx (November 10-12, 2023).
  30. Shun MAEDA, Chunzhi GU, Jun YU, and Chao ZHANG, "Weakly-Supervised Motion In-Betweening Learning via Pose Priors," The 2023 5th Asia Digital Image Processing Conference, (ADIP2023), Kyoto, Japan, pp. xx-xx (December 16-18, 2023). (Best Presentation Award)
  31. Shuofeng ZHAO, Chunzhi GU, Jun YU, and Chao ZHANG, "A Clicking Strategy Inspired by Inter-Individual Variation for Interactive Image Segmentation," The 2023 5th Asia Digital Image Processing Conference, (ADIP2023), Kyoto, Japan, pp. xx-xx (December 16-18, 2023).

Domestic Conference Papers

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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).
  10. 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)
  11. 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).
  12. Jun YU, and Hideyuki TAKAGI, "Performance Analysis of Vegetation Evolution," Evolutionary Computation Symposium 2018, Fukuoka, pp. 17-21 (December 8-9, 2018). (in Japanese)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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)
  22. 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)
  23. 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).
  24. 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)
  25. 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)
  26. 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)
  27. 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)
  28. 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).
  29. 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).
  30. 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).
  31. 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).
  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. 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)
  34. 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)
  35. 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)
  36. 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)
  37. 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)
  38. 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)
  39. 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)
  40. 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)
  41. 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)
  42. 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)
  43. 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. xx-xx (May 28-31, 2024). (in Japanese)(Peer-reviewed)