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Dendritic Learning




Update: 2024-04-19

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IN PRESS

  1. Zhiming Zhang, Zhenyu Lei, MengChu Zhou, Hideyuki Hasegawa, and Shangce Gao*, "Complex-valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming," IEEE Transactions on Neural Networks and Learning Systems, 2024. DOI: 10.1109/TNNLS.2024.3384314, [PDF].

  2. Yuga Mori, Masaaki Omura, Shota Suzuki, Ryo Nagaoka, Shangce Gao, Kunimasa Yagi, and Hideyuki Hasegawa, "Robust adversarial learning model to segment non-speckle regions in blood flow echo," Japanese Journal of Applied Physics, 2024. DOI: 10.35848/1347-4065/ad3834, [PDF].

  3. Sichen Tao, Kaiyu Wang, Ting Jin, Zhengwei Wu, Zhenyu Lei, and Shangce Gao*, "Spherical Search Algorithm with Memory-guided Population Stage-wise Control for Bound-constrained Global Optimization Problems," Applied Soft Computing, 2024.

  4. Zeyuan Ju, Zhipeng Liu, Yu Gao, Haotian Li, Qianhang Du, Kota Yoshikawa, and Shangce Gao*, "EfficientNet Empowered by Dendritic Learning for Diabetic Retinopathy," IEICE Transactions on Information and Systems, 2024.

  5. Yu Zhang, Pengxing Cai, Yanan Sun, Zhiming Zhang, Zhenyu Lei, and Shangce Gao*, "A Lightweight Multi-Dendritic Pyramidal Neuron Model with Neural Plasticity on Image Recognition," IEEE Transactions on Artificial Intelligence, 2024. DOI: 10.1109/TAI.2024.3379968, [PDF].

  6. Qichao Mao, Jiujun Cheng, MengChu Zhou, Shangce Gao*, Shoufei Han, and Aiiad Albeshri, "An Edge Computing-based Autonomous Vehicle Group Cooperation Model in a Highway Scene," IEEE Transactions on Vehicular Technology, 2024. DOI: 10.1109/TVT.2024.3375853, [PDF].

  7. Kaiyu Wang, Shangce Gao*, MengChu Zhou, Zhi-Hui Zhan, and Jiujun Cheng, "Fractional Order Differential Evolution," IEEE Transactions on Evolutionary Computation, 2024. DOI: 10.1109/TEVC.2024.3382047, [PDF].

  8. Tao Zheng, Haotian Li, Houtian He, Zhenyu Lei, and Shangce Gao*, "An adaptive strategy-incorporated binary genetic algorithm for wind farm layout optimization," Journal of Bionic Engineering, 2024. DOI: 10.1007/s42235-024-00498-3, [PDF].

  9. Lin Zhong, Zhipeng Liu, Houtian He, Zhenyu Lei, and Shangce Gao*, "Dendritic Learning and Miss Region Detection-based Deep Network for Multi-scale Medical Segmentation," Journal of Bionic Engineering, 2024. DOI: 10.1007/s42235-024-00499-2.

  10. Zhiming Zhang, Shangce Gao*, MengChu Zhou, Mengtao Yan, and Shuyang Cao, "Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulent Prediction," IEEE/CAA Journal of Automatica Sinica, 2024. DOI: 10.1109/JAS.2024.124335, [PDF].

  11. Shibo Dong, Zhipeng Liu, Haotian Li, Zhenyu Lei, and Shangce Gao*, "A Dendritic Architecture-based Deep Learning for Tumor Detection," IEEJ Transactions on Electrical and Electronic Engineering, 2024. DOI: 10.1002/tee.24031, [PDF].

  12. Jinrui Gao, Ziqian Wang, Zhenyu Lei, Rong-Long Wang, Zhengwei Wu, and Shangce Gao*, "Feature Selection with Clustering Probabilistic Particle Swarm Optimization," International Journal of Machine Learning and Cybernetics, 2024. DOI: 10.1007/s13042-024-02111-9, [PDF].

  13. Yuqi Feng, Zeqiong Lv, Hongyang Chen, Shangce Gao, Fengping An, and Yanan Sun, "LRNAS: Differentiable Searching for Adversarially Robust Lightweight Neural Architecture," IEEE Transactions on Neural Networks and Learning Systems, 2024. DOI: 10.1109/TNNLS.2024.3382724, [PDF].

  14. Jiaru Yang, Kaiyu Wang, Yirui Wang, Jiahai Wang, Zhenyu Lei, and Shangce Gao*, "Dynamic Population Structures-based Differential Evolution Algorithm," IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. DOI: 10.1109/TETCI.2024.3367809, [PDF].

  15. Yifei Yang, Haichuan Yang, Haotian Li, Zheng Tang, and Shangce Gao*, "An Evolutionary Swarm Intelligence Optimizer based on Probabilistic Distribution," Neural Computing and Applications, 2023. DOI: 10.1007/s00521-023-09299-x, [PDF].

  16. Qianqian Li, Houtian He, Chenxi Xue, Tongyan Liu, and Shangce Gao*, "A Seasonal-trend Decomposition and Single Dendrite Neuron-based Predicting Model for Greenhouse Time Series," Environmental Modeling Assessment, 2023. DOI: 10.1007/s10666-023-09931-z, [PDF].

  17. Houtian He, Tongyan Liu, Qianqian Li, Jiaru Yang, Rong-Long Wang, and Shangce Gao*, "A novel FD3 framework for carbon emissions prediction," Environmental Modeling & Assessment, 2023. DOI: 10.1007/s10666-023-09918-w, [PDF].

  18. Jinli Li, Xin Luo, Ye Yuan, and Shangce Gao, "Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis," IEEE Transactions on Automation Science and Engineering, 2023. DOI: 10.1109/TASE.2023.3284819, [PDF].

  19. Zhenyu Lei, Shangce Gao*, Hideyuki Hasegawa, Zhiming Zhang, MengChu Zhou, and Khaled Sedraoui, "Fully Complex-Valued Gated Recurrent Neural Network for Ultrasound Imaging," IEEE Transactions on Neural Networks and Learning Systems, 2023. DOI: 10.1109/TNNLS.2023.3282231, [PDF].

JOURNAL PAPERS

  1. Keyu Song, Yang Yu, Tengfei Zhang, Xiaosi Li, Zhenyu Lei, Houtian He, Yizheng Wang, and Shangce Gao, "Short-Term Load Forecasting Based on CEEMDAN and Dendritic Deep Learning," Knowledge-Based Systems, vol. 294, pp. 111729, June 2024. [PDF].

  2. Zihang Zhang, Qianrui Yu, Haichuan Yang, Jiayi Li, Jiujun Cheng, and Shangce Gao*, "Triple-layered Chaotic Differential Evolution Algorithm for Layout Optimization of Offshore Wave Energy Converters," Expert Systems with Applications, vol. 239, pp. 122439, April 2024. DOI: 10.1016/j.eswa.2023.122439, [PDF].

  3. Yirui Wang, Zonghui Cai, Lijun Guo, Guoqing Li, Yang Yu, and Shangce Gao*, "A spherical evolution algorithm with two-stage search for global optimization and real-world problems," Information Sciences, vol. 665, pp. 120424, April 2024. DOI: 10.1016/j.ins.2024.120424, [PDF].

  4. Zhentao Tang, Kaiyu Wang, Yan Zang, Qianyu Zhu, Yuki Todo, and Shangce Gao*, "Fractional-order Water Flow Optimizer," International Journal of Computational Intelligence Systems, vol. 17, pp. 84, April 2024. [PDF].

  5. Zhipeng Liu, Zhiming Zhang, Zhenyu Lei, Masaaki Omura, Rong-Long Wang, and Shangce Gao*, "Dendritic Deep Learning for Medical Segmentation," IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 3, pp. 803-805, March 2024. DOI: 10.1109/JAS.2023.123813, [PDF].

  6. Jinrui Gao, Ziqian Wang, Ting Jin, Jiujun Cheng, Zhenyu Lei, and Shangce Gao*, "Information gain ratio-based subfeature grouping empowers particle swarm optimization for feature selection," Knowledge-Based Systems, vol. 286, pp. 111380, February 2024. DOI: 10.1016/j.knosys.2024.111380, [PDF].

  7. 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, February 2024. DOI: 10.1016/j.knosys.2024.111442, [PDF].

  8. Zhiming Zhang, Zhenyu Lei, Masaaki Omura, Hideyuki Hasegawa, and Shangce Gao*, "Dendritic Learning-incorporated Vision Transformer for Image Recognition," IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 2, pp. 539-541, February 2024. DOI: 10.1109/JAS.2023.123978, [PDF].

  9. Qingya Sui, Yang Yu, Kaiyu Wang, Lin Zhong, Zhenyu Lei, and Shangce Gao*, "Best-worst Individuals Driven Multiple-layered Differential Evolution," Information Sciences, vol. 655, pp. 119889, January 2024. DOI: 10.1016/j.ins.2023.119889, [PDF].

  10. Ziqian Wang, Shangce Gao*, Zhenyu Lei, and Masaaki Omura, "An Information-based Elite-guided Evolutionary Algorithm for Multi-objective Feature Selection," IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 1, pp. 264-266, January 2024. DOI: 10.1109/JAS.2023.123810, [PDF].

  11. Pengxing Cai, Yu Zhang, Ting Jin, Yuki Todo, and Shangce Gao*, "Self-Adaptive Forensic-Based Investigation Algorithm with Dynamic Population for Solving Constraint Optimization Problems," International Journal of Computational Intelligence Systems, vol. 17, pp. 15, January 2024. DOI: 10.1007/s44196-023-00396-2, [PDF].

  12. Zhentao Tang, Kaiyu Wang, Sichen Tao, Yuki Todo, Rong-Long Wang, and Shangce Gao*, "Hierarchical Manta Ray Foraging Optimization with Weighted Fitness-Distance Balance Selection," International Journal of Computational Intelligence Systems, vol. 16, no. 1, pp. 76, December 2023. DOI: 10.1007/s44196-023-00289-4, [PDF].

  13. Lin Zhong, Qingya Sui, Jiatianyi Yu, Rong-Long Wang, Zhenyu Lei, and Shangce Gao*, "Elite-of-the-elites Driven Five-layered Gravitational Search Algorithm for Optimization," IEEJ Transactions on Electrical and Electronic Engineering, vol. 18, no. 12, pp. 1958-1960, December 2023. DOI: 10.1002/tee.23921, [PDF].

  14. GuiYuan Yuan, JiuJun Cheng, MengChu Zhou, Sheng Cheng, Shangce Gao*, ChangJun Jiang, and Abdullah Abusorrah, "An Autonomous Vehicle Group Cooperation Model in an Urban Scene," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 12, pp. 13852-13862, December 2023. DOI: 10.1109/TITS.2023.3300278, [PDF].

  15. Zonghui Cai, Xiao Yang, MengChu Zhou, Zhi-Hui Zhan, and Shangce Gao*, "Toward explicit control between exploration and exploitation in evolutionary algorithms: A case study of differential evolution," Information Sciences, vol. 649, pp. 119656, November 2023. DOI: 10.1016/j.ins.2023.119656, [PDF].

  16. Qing Lei, Huiying Li, Hongbo Zhang, Jixiang Du, and Shangce Gao*, "Multi-Skeleton Structures Graph Convolutional Network for Action Quality Assessment in Long Videos," Applied Intelligence, vol. 53, no. 19, pp. 21692-21705, October 2023. DOI: 10.1007/s10489-023-04613-5, [PDF].

  17. Qingya Sui, Lin Zhong, Jiatianyi Yu, Haotian Li, Zhenyu Lei, and Shangce Gao*, "Particle Swarm Optimization with Average Individuals Distance-incorporated Exploitation," IEEJ Transactions on Electrical and Electronic Engineering, vol. 18, no. 10, pp. 1722-1724, October 2023. DOI: 10.1002/tee.23896, [PDF].

  18. Long Yao, Qing Lei, Hongbo Zhang, Jixiang Du, and Shangce Gao*, "A Contrastive Learning Network for Performance Metric and Assessment of Physical Rehabilitation Exercises," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 3790-3802, September 2023. DOI: 10.1109/TNSRE.2023.3317411, [PDF].

  19. Haichuan Yang, Shangce Gao*, Zhenyu Lei, Jiayi Li, Yang Yu, and Yirui Wang, "An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem," Engineering Applications of Artificial Intelligence, vol. 123, pp. 106198, August 2023. DOI: 10.1016/j.engappai.2023.106198, [PDF].

  20. Nan Li, Lianbo Ma, Tiejun Xing, Guo Yu, Chen Wang, Yingyou Wen, Shi Cheng, and Shangce Gao, "Automatic design of machine learning via evolutionary computation: A survey," Applied Soft Computing, vol. 143, pp. 110412, August 2023. DOI: 10.1016/j.asoc.2023.110412, [PDF].

  21. Ziqian Wang, Shangce Gao*, MengChu Zhou, Syuhei Sato, Jiujun Cheng, and Jiahai Wang, "Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification," IEEE Transactions on Cybernetics, vol. 53, no. 8, pp. 5276-5289, August 2023. DOI: 10.1109/TCYB.2022.3185554, [PDF].

  22. Guiyuan Yuan, Jiujun Cheng, Qichao Mao, Shangce Gao*, Aiguo Zhou, and Qingtian Zeng, "An Autonomous Vehicle Group Model in an Urban Scene," IEEE Internet of Things Journal, vol. 10, no. 15, pp. 13521-13532, August 2023. DOI: 10.1109/JIOT.2023.3262640, [PDF].

  23. Jiaru Yang, Yu Zhang, Ting Jin, Zhenyu Lei, Yuki Todo, and Shangce Gao*, "Maximum Lyapunov Exponent-based Multiple Chaotic Slime Mold Algorithm for Real-world Optimization," Scientific Reports, vol. 13, pp. 12744, August 2023. DOI: 10.1038/s41598-023-40080-1, [PDF].

  24. Yang Yu, Tengfei Zhang, Zhenyu Lei, Yirui Wang, Haichuan Yang, and Shangce Gao*, "A Chaotic Local Search-based LSHADE with Enhanced Memory Storage Mechanism for Wind Farm Layout Optimization," Applied Soft Computing, vol. 141, pp. 110306, July 2023. DOI: 10.1016/j.asoc.2023.110306, [PDF].

  25. Zijing Yuan, Shangce Gao*, Yirui Wang, Jiayi Li, Chunzhi Hou, and Lijun Guo, "Prediction of PM2.5 time series by seasonal trend decomposition-based dendritic neuron model," Neural Computing and Applications, vol. 35, no. 21, pp. 15397-15413, July 2023. DOI: 10.1007/s00521-023-08513-0, [PDF].

  26. Guiyuan Yuan, Jiujun Cheng, MengChu Zhou, Sheng Cheng, Shangce Gao*, Changjun Jiang, and Abdullah Abusorrah, "A Dynamic Evolution Method for Autonomous Vehicle Groups in an Urban Scene," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3450-3460, June 2023. DOI: 10.1109/TSMC.2022.3226424, [PDF].

  27. Anjing Guo, Yirui Wang, Lijun Guo, Rong Zhang, Yang Yu, and Shangce Gao*, "An adaptive position-guided gravitational search algorithm for function optimization and image threshold segmentation," Engineering Applications of Artificial Intelligence, vol. 121, pp. 106040, May 2023. DOI: 10.1016/j.engappai.2023.106040, [PDF].

  28. Zhenyu Lei, Shangce Gao*, Zhiming Zhang, Haichuan Yang, and Haotian Li, "A Chaotic Local Search-based Particle Swarm Optimizer for Large-scale Complex Wind Farm Layout Optimization," IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 5, pp. 1168-1180, May 2023. DOI: 10.1109/JAS.2023.123387, [PDF].

  29. Haotian Li, Haichuan Yang, Baohang Zhang, Han Zhang, and Shangce Gao*, "Swarm Exploration Mechanism-based Distributed Water Wave Optimization," International Journal of Computational Intelligence Systems, vol. 16, no. 1, pp. 76, May 2023. DOI: 10.1007/s44196-023-00248-z, [PDF].

  30. Zhiming Zhang, Shangce Gao*, Zhenyu Lei, Runqun Xiong, and Jiujun Cheng, "Pareto Dominance Archive and Coordinated Selection Strategy-Based Many-Objective Optimizer for Protein Structure Prediction," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 20, no. 3, pp. 2328-2340, May 2023. DOI: 10.1109/TCBB.2023.3247025, [PDF].

  31. Shangce Gao, MengChu Zhou, Ziqian Wang, Daiki Sugiyama, Jiujun Cheng, Jiahai Wang, and Yuki Todo, "Fully Complex-valued Dendritic Neuron Model," IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 4, pp. 2105-2118, April 2023. DOI: 10.1109/TNNLS.2021.3105901, [PDF].

  32. Yu Zhang, Shangce Gao*, Pengxing Cai, Zhenyu Lei, and Yirui Wang, "Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification," Applied Soft Computing, vol. 136, pp. 110064, March 2023. DOI: 10.1016/j.asoc.2023.110064, [PDF].

  33. Tao Zheng, Han Zhang, Baohang Zhang, Zonghui Cai, Kaiyu Wang, Yuki Todo, and Shangce Gao*, "Umbrellalike Hierarchical Artificial Bee Colony Algorithm," IEICE Transactions on Information and Systems, vol. E106-D, no. 3, pp. 410-418, March 2023. DOI: 10.1587/transinf.2022EDP7130, [PDF].

  34. Baohang Zhang, Haichuan Yang, Tao Zheng, Rong-Long Wang, and Shangce Gao*, "A Non-revisiting Equilibrium Optimizer Algorithm," IEICE Transactions on Information and Systems, vol. E106-D, no. 3, pp. 365-373, March 2023. DOI: 10.1587/transinf.2022EDP7119, [PDF].

  35. Jiayi Li, Zhipeng Liu, Rong-Long Wang, and Shangce Gao*, "Dendritic Deep Residual Learning for COVID-19 Prediction," IEEJ Transactions on Electrical and Electronic Engineering, vol. 18, no. 2, pp. 297-299, February 2023. DOI: 10.1002/tee.23723, [PDF].

  36. Dingning Xu, Lijun Guo, Rong Zhang, Jiangbo Qian, and Shangce Gao, "Can Relearning Local Representation Help Small Networks for Human Pose Estimation?," Neurocomputing, vol. 518, pp. 418-430, January 2023. DOI: 10.1016/j.neucom.2022.11.025, [PDF].

  37. Kaiyu Wang, Yirui Wang, Sichen Tao, Zonghui Cai, Zhenyu Lei, and Shangce Gao*, "Spherical Search Algorithm with Adaptive Population Control for Global Continuous Optimization Problems," Applied Soft Computing, vol. 132, pp. 109845, January 2023. DOI: 10.1016/j.asoc.2022.109845, [PDF].

  38. Shubham Gupta, Shitu Singh, Rong Su, Shangce Gao*, and Jagdish Bansal, "Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution," IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 1, pp. 135-158, January 2023. DOI: 10.1109/JAS.2023.123018, [PDF].

  39. Guodong Li, Lijun Guo, Rong Zhang, Jiangbo Qian, and Shangce Gao, "TransGait: Multimodal-based Gait Recognition with Set Transformer," Applied Intelligence, vol. 53, no. 2, pp. 1535-1547, January 2023. DOI: 10.1007/s10489-022-03543-y, [PDF].

  40. Zhentao Tang, Sichen Tao, Kaiyu Wang, Bo Lu, Yuki Todo, and Shangce Gao*, "Chaotic Wind Driven Optimization with Fitness Distance Balance Strategy," International Journal of Computational Intelligence Systems, vol. 15, no. 1, pp. 46, December 2022. DOI: 10.1007/s44196-022-00099-0, [PDF].

  41. Junyan Yi, Zhongyue Fang, Gang Yang, Shuhui He, and Shangce Gao*, "New Feature Analysis-based Elastic Net Algorithm with Clustering Objective Function," Knowledge-Based Systems, vol. 258, pp. 110004, December 2022. DOI: 10.1016/j.knosys.2022.110004, [PDF].

  42. Xiao Yang, Zonghui Cai, Ting Jin, Zheng Tang, and Shangce Gao*, "A Three-phase Search Approach with Dynamic Population Size for Solving the Maximally Diverse Grouping Problem," European Journal of Operational Research, vol. 302, no. 3, pp. 925-953, November 2022. DOI: 10.1016/j.ejor.2022.02.003, [PDF].

  43. Ziqian Wang, Shangce Gao*, Yong Zhang, and Lijun Guo, "Symmetric uncertainty-incorporated probabilistic sequence-based ant colony optimization for feature selection in classification," Knowledge-Based Systems, vol. 256, pp. 109874, November 2022. DOI: 10.1016/j.knosys.2022.109874, [PDF].

  44. Hui-Ying Li, Qing Lei, Hong-Bo Zhang, Ji-Xiang Du, and Shangce Gao, "Skeleton-based Deep Pose Feature Learning for Action Quality Assessment on Figure Skating Videos," Journal of Visual Communication and Image Representation, vol. 89, pp. 103625, November 2022. DOI: 10.1016/j.jvcir.2022.103625, [PDF].

  45. Mengtao Yan, Zhiming Zhang, Shangce Gao, and Shuyang Cao, "Predicting aerodynamic pressure on a square cylinder from wake velocity field by masked Gated Recurrent Unit model," Physics of Fluids, vol. 34, no. 11, pp. 115101, November 2022. DOI: 10.1063/5.0110491, [PDF].

  46. Xiaosi Li, Jiayi Li, Haichuan Yang, Yirui Wang, and Shangce Gao*, "Population Interaction Network in Representative Differential Evolution Algorithms: Power-law Outperforms Poisson Distribution," Physica A: Statistical Mechanics and its Applications, vol. 603, pp. 127764, October 2022. DOI: 10.1016/j.physa.2022.127764, [PDF].

  47. Yang Yu, Shangce Gao*, MengChu Zhou, Yirui Wang, Zhenyu Lei, Tengfei Zhang, and Jiahai Wang, "Scale-free Network-based Differential Evolution to Solve Function Optimization and Parameter Estimation of Photovoltaic Models," Swarm and Evolutionary Computation, vol. 74, pp. 101142, October 2022. DOI: 10.1016/j.swevo.2022.101142, [PDF].

  48. Zhenyu Lei, Shangce Gao*, Yirui Wang, Yang Yu, and Lijun Guo, "An adaptive replacement strategy-incorporated particle swarm optimizer for wind farm layout optimization," Energy Conversion and Management, vol. 269, pp. 116174, October 2022. DOI: 10.1016/j.enconman.2022.116174, [PDF].

  49. Dingning Xu, Rong Zhang, Lijun Guo, Cun Feng, and Shangce Gao, "LDNet: Lightweight dynamic convolution network for human pose estimation," Advanced Engineering Informatics, vol. 54, pp. 101785, October 2022. DOI: 10.1016/j.aei.2022.101785, [PDF].

  50. Yang Yang, Yuchao Gao, Shuang Tan, Shangrui Zhao, Jinran Wu, Shangce Gao, Tengfei Zhang, Yu-Chu Tian, and You-Gan Wang, "An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems," Engineering Applications of Artificial Intelligence, vol. 113, pp. 104981, August 2022. DOI: 10.1016/j.engappai.2022.104981, [PDF].

  51. Haichuan Yang, Yang Yu, Jiujun Cheng, Zhenyu Lei, Zonghui Cai, Zihang Zhang, and Shangce Gao*, "An Intelligent Metaphor-free Spatial Information Sampling Algorithm for Balancing Exploitation and Exploration," Knowledge-Based Systems, vol. 250, pp. 109081, August 2022. DOI: 10.1016/j.knosys.2022.109081, [PDF].

  52. ChiYan Lee, Hideyuki Hasegawa, and Shangce Gao*, "Complex-valued neural networks: A comprehensive survey," IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 8, pp. 1406-1426, August 2022. DOI: 10.1109/JAS.2022.105743, [PDF].

  53. Jiujun Cheng, Guiyuan Yuan, MengChu Zhou, Shangce Gao*, Cong Liu, and Changjun Jiang, "A Fluid Mechanics-based Model to Estimate VINET Capacity in an Urban Scene," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8606-8614, July 2022. DOI: 10.1109/TITS.2021.3083812, [PDF].

  54. Yang Yu, Kaiyu Wang, Tengfei Zhang, Yirui Wang, Chen Peng, and Shangce Gao*, "A Population Diversity-controlled Differential Evolution for Parameter Estimation of Solar Photovoltaic Models," Sustainable Energy Technologies and Assessments, vol. 51, pp. 101938, June 2022. DOI: 10.1016/j.seta.2021.101938, [PDF].

  55. Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, and Shangce Gao, "Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 6, pp. 3476-3491, June 2022. DOI: 10.1109/TSMC.2021.3069986, [PDF].

  56. Zhenyu Lei, Shangce Gao*, Zhiming Zhang, MengChu Zhou, and Jiujun Cheng, "MO4: A Many-objective Evolutionary Algorithm for Protein Structure Prediction," IEEE Transactions on Evolutionary Computation, vol. 26, no. 3, pp. 417-430, June 2022. DOI: 10.1109/TEVC.2021.3095481, [PDF].

  57. Lin Yang, Jiayi Li, Runqun Xiong, Yuki Todo, and Shangce Gao*, "Adaptive chaotic equilibrium optimiser," International Journal of Bio-inspired Computation, vol. 19, no. 3, pp. 147-157, June 2022. DOI: 10.1504/IJBIC.2022.123125, [PDF].

  58. Xiaosi Li, Kaiyu Wang, Haichuan Yang, Sichen Tao, Shuai Feng, and Shangce Gao*, "PAIDDE: A Permutation-Archive Information Directed Differential Evolution Algorithm," IEEE Access, vol. 10, pp. 50384-50402, May 2022. DOI: 10.1109/ACCESS.2022.3173622, [PDF].

  59. Aibin Guo, Lijun Guo, Rong Zhang, Yirui Wang, and Shangce Gao, "Self-trained prediction model and novel anomaly score mechanism for video anomaly detection," Image and Vision Computing, vol. 119, pp. 104391, March 2022. DOI: 10.1016/j.imavis.2022.104391, [PDF].

  60. Ting Jin, Hongxuan Xia, and Shangce Gao*, "Reliability Analysis of the Uncertain Fractional-Order Dynamic System with State Constraint," Mathematical Methods in the Applied Sciences, vol. 45, no. 5, pp. 2615-2637, March 2022. DOI: 10.1002/mma.7943, [PDF].

  61. Zonghui Cai, Shangce Gao*, Xiao Yang, Gang Yang, Shi Cheng, and Yuhui Shi, "Alternate Search Pattern-based Brain Storm Optimization," Knowledge-Based Systems, vol. 238, pp. 107896, February 2022. DOI: 10.1016/j.knosys.2021.107896, [PDF].

  62. Rong-Long Wang, Zhenyu Lei, Zhiming Zhang, and Shangce Gao*, "Dendritic Convolutional Neural Network," IEEJ Transactions on Electrical and Electronic Engineering, vol. 17, no. 2, pp. 302-304, February 2022. DOI: 10.1002/tee.23513, [PDF].

  63. Haichuan Yang, Sichen Tao, Zhiming Zhang, Zonghui Cai, and Shangce Gao*, "Spatial information sampling: another feedback mechanism of realising adaptive parameter control in meta-heuristic algorithms," International Journal of Bio-inspired Computation, vol. 19, no. 1, pp. 48-58, February 2022. DOI: 10.1504/IJBIC.2022.120751, [PDF].

  64. Yang Yu, Zhenyu Lei, Yirui Wang, Tengfei Zhang, Chen Peng, and Shangce Gao*, "Improving Dendritic Neuron Model with Dynamic Scale-free Network-based Differential Evolution," IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 1, pp. 99-110, January 2022. (Highly Cited Paper, Top 1%) DOI: 10.1109/JAS.2021.1004284, [PDF].

  65. Jiayi Li, Lin Yang, Junyan Yi, Haichuan Yang, Yuki Todo, and Shangce Gao*, "A Simple but Efficient Ranking-based Differential Evolution," IEICE Transactions on Information and Systems, vol. E105-D, no. 1, pp. 189-192, January 2022. DOI: 10.1587/transinf.2021EDL8053, [PDF].

  66. Jiujun Cheng, Mingdong Ju, MengChu Zhou, Cong Liu, Shangce Gao*, Abdullah Abusorrah, and Changjun Jiang, "A Dynamic Evolution Method for Autonomous Vehicle Groups in a Highway Scene," IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1445-1457, January 2022. DOI: 10.1109/JIOT.2021.3086832, [PDF].

  67. Zhe Xu, Ziqian Wang, Jiayi Li, Ting Jin, Xianglian Meng, and Shangce Gao*, "Dendritic Neuron Model Trained by Information Feedback-Enhanced Differential Evolution Algorithm for Classification," Knowledge-Based Systems, vol. 233, pp. 107536, December 2021. DOI: 10.1016/j.knosys.2021.107536, [PDF].

  68. Jiaru Yang, Yu Zhang, Ziqian Wang, Yuki Todo, Bo Lu, and Shangce Gao*, "A Cooperative Coevolution Wingsuit Flying Search Algorithm with Spherical Evolution," International Journal of Computational Intelligence Systems, vol. 14, no. 1, pp. 178, December 2021. DOI: 10.1007/s44196-021-00030-z, [PDF].

  69. Xiaosi Li, Haichuan Yang, Jiayi Li, Yirui Wang, and Shangce Gao*, "A Novel Distributed Gravitational Search Algorithm with Multi-layered Information Interaction," IEEE Access, vol. 9, pp. 166552-166565, December 2021. DOI: 10.1109/ACCESS.2021.3136239, [PDF].

  70. Li-Jia Dong, Hong-Bo Zhang, Qinghongya Shi, Qing Lei, Ji-Xiang Du, and Shangce Gao, "Learning and Fusing Multiple Hidden Substages for Action Quality Assessment," Knowledge-Based Systems, vol. 229, pp. 107388, October 2021. DOI: 10.1016/j.knosys.2021.107388, [PDF].

  71. Kaiyu Wang, Sichen Tao, Rong-Long Wang, Yuki Todo, and Shangce Gao*, "Fitness-distance Balance with Functional Weights: A New Selection Method for Evolutionary Algorithms," IEICE Transactions on Information and Systems, vol. E104-D, no. 10, pp. 1789-1792, October 2021. DOI: 10.1587/transinf.2021EDL8033, [PDF].

  72. Houtian He, Shangce Gao*, Ting Jin, Syuhei Sato, and Xingyi Zhang, "A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction," Applied Soft Computing, vol. 108, pp. 107488, September 2021. DOI: 10.1016/j.asoc.2021.107488, [PDF].

  73. Ting Jin, Shangce Gao*, Hongxuan Xia, and Hui Ding, "Reliability analysis for the fractional-order circuit system subject to the uncertain random fractional-order model with Caputo type," Journal of Advanced Research, vol. 32, pp. 15-26, September 2021. DOI: 10.1016/j.jare.2021.04.008, [PDF].

  74. Lin Yang, Shangce Gao*, Haichuan Yang, Zonghui Cai, Zhenyu Lei, and Yuki Todo, "Adaptive Chaotic Spherical Evolution Algorithm," Memetic Computing, vol. 13, pp. 383-411, August 2021. DOI: 10.1007/s12293-021-00341-w, [PDF].

  75. Zhe Xu, Haichuan Yang, Jiayi Li, Xingyi Zhang, Bo Lu, and Shangce Gao*, "Comparative Study on Single and Multiple Chaotic Maps Incorporated Grey Wolf Optimization Algorithms," IEEE Access, vol. 9, pp. 77416-77437, June 2021. DOI: 10.1109/ACCESS.2021.3083220, [PDF].

  76. Shangce Gao, Yang Yu, Yirui Wang, Jiahai Wang, Jiujun Cheng, and MengChu Zhou, "Chaotic Local Search-based Differential Evolution Algorithms for Optimization," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 6, pp. 3954-3967, June 2021. (Highly Cited Paper, Top 1%) DOI: 10.1109/TSMC.2019.2956121, [PDF].

  77. Jiujun Cheng, Chunrong Cao, Mengchu Zhou, Cong Liu, Shangce Gao*, and Changjun Jiang, "A Dynamic Evolution Mechanism for IoV Community in an Urban Scene," IEEE Internet of Things Journal, vol. 8, no. 9, pp. 7521-7530, May 2021. DOI: 10.1109/JIOT.2020.3039775, [PDF].

  78. Hongpeng Wang, Shangce Gao, Michiya Mozumi, Masaaki Omura, Ryo Nagaoka, and Hideyuki Hasegawa, "Preliminary investigation on clutter filtering based on deep learning," Japanese Journal of Applied Physics, vol. 60, pp. SDDE21, May 2021. DOI: 10.35848/1347-4065/abf39d, [PDF].

  79. Yirui Wang, Shangce Gao*, Yang Yu, Zonghui Cai, and Ziqian Wang, "A gravitational search algorithm with hierarchy and distributed framework," Knowledge-Based Systems, vol. 218, pp. 106877, April 2021. DOI: 10.1016/j.knosys.2021.106877, [PDF].

  80. Jiahai Wang, Liangsheng Yuan, Zizhen Zhang, Shangce Gao, Yuyan Sun, and Yalan Zhou, "Multiobjective Multiple Neighborhood Search Algorithms for Multiobjective Fleet Size and Mix Location-Routing Problem With Time Windows," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 4, pp. 2284-2298, April 2021. DOI: 10.1109/TSMC.2019.2912194, [PDF].

  81. Zhe Xu, Shangce Gao*, Haichuan Yang, and Zhenyu Lei, "SCJADE: Yet Another State-of-the-art Differential Evolution Algorithm," IEEJ Transactions on Electrical and Electronic Engineering, vol. 16, no. 4, pp. 644-646, April 2021. DOI: 10.1002/tee.23340, [PDF].

  82. Haichuan Yang, Shangce Gao*, Rong-Long Wang, and Yuki Todo, "A Ladder Spherical Evolution Search Algorithm," IEICE Transactions on Information and Systems, vol. E104-D, no. 03, pp. 461-464, March 2021. DOI: 10.1587/transinf.2020EDL8102, [PDF].

  83. Shangce Gao, Kaiyu Wang, Sichen Tao, Ting Jin, Hongwei Dai, and Jiujun Cheng, "A State-of-the-art Differential Evolution Algorithm for Parameter Estimation of Solar Photovoltaic Models," Energy Conversion and Management, vol. 230, pp. 113784, February 2021. (Highly Cited Paper, Top 1%) DOI: 10.1016/j.enconman.2020.113784, [PDF].

  84. Yirui Wang, Shangce Gao*, MengChu Zhou, and Yang Yu, "A Multi-layered Gravitational Search Algorithm for Function Optimization and Real-world Problems," IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 1, pp. 94-109, January 2021. (Highly Cited Paper, Top 1%) DOI: 10.1109/JAS.2020.1003462, [PDF].

  85. Rong-Long Wang, Yang Yu, Yusuke Terada, and Shangce Gao*, "Broad Learning Can Tolerate Noise in Image Recognition," IEEJ Transactions on Electrical and Electronic Engineering, vol. 16, no. 1, pp. 167-169, January 2021. DOI: 10.1002/tee.23280, [PDF].

  86. Shi Wang, Yang Yu, Lin Zou, Sheng Li, Hang Yu, Yuki Todo, and Shangce Gao*, "A Novel Median Dendritic Neuron Model for Prediction," IEEE Access, vol. 8, pp. 192339-192351, October 2020. DOI: 10.1109/ACCESS.2020.3032948, [PDF].

  87. Jiujun Cheng, Guiyuan Yuan, Mengchu Zhou, Shangce Gao*, Zhenhua Huang, and Cong Liu, "A connectivity prediction-based dynamic clustering model for VANET in an urban scene," IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8410-8418, September 2020. DOI: 10.1109/JIOT.2020.2990935, [PDF].

  88. Zhenyu Lei, Shangce Gao*, Shubham Gupta, Jiujun Cheng, and Gang Yang, "An aggregative learning gravitational search algorithm with self-adaptive gravitational constants," Expert Systems with Applications, vol. 152, Article ID 113396, 18 pages, August 2020. DOI: 10.1016/j.eswa.2020.113396, [PDF].

  89. Cheng Tang, Junkai Ji, Yajiao Tang, Shangce Gao, Zheng Tang, and Yuki Todo, "A novel machine learning technique for computer-aided diagnosis," Engineering Applications of Artificial Intelligence, vol. 92, Article ID 103627, 14 pages, June 2020. DOI: 10.1016/j.engappai.2020.103627, [PDF].

  90. Yirui Wang, Yang Yu, Shuyang Cao, Xingyi Zhang, and Shangce Gao, "A review of applications of artificial intelligent algorithms in wind farms," Artificial Intelligence Review, vol. 53, no. 5, pp. 3447-3500, June 2020. DOI: 10.1007/s10462-019-09768-7, [PDF].

  91. Jiahai Wang, Binzhong Cen, Shangce Gao, Zizhen Zhang, and Yuren Zhou, "Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, no. 3, pp. 398-412, June 2020. DOI: 10.1109/TETCI.2018.2849380, [PDF].

  92. Jiahai Wang, Yuyan Sun, Zizhen Zhang, and Shangce Gao, "Solving multitrip pickup and delivery problem with time windows and manpower planning using multiobjective algorithms," IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 4, pp. 1134-1153, June 2020. DOI: 10.1109/JAS.2020.1003204, [PDF].

  93. Jiujun Cheng, Guiyuan Yuan, Mengchu Zhou, Shangce Gao*, Cong Liu, Hua Duan, and QingTian Zeng, "Accessibility analysis and modeling for IoV in an urban scene," IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 4246-4256, April 2020. DOI: 10.1109/TVT.2020.2970553, [PDF].

  94. Xiaosi Li, Zonghui Cai, Yirui Wang, Yuki Todo, Jiujun Cheng, and Shangce Gao*, "TDSD: A New Evolutionary Algorithm Based on Triple Distinct Search Dynamics," IEEE Access, vol. 8, no. 1, pp. 76752-76764, April 2020. DOI: 10.1109/ACCESS.2020.2989029, [PDF].

  95. Jiujun Cheng, Minjun Chen, MengChu Zhou, Shangce Gao*, Chunmei Liu, and Cong Liu, "Overlapping Community Change-Point Detection in an Evolving Network," IEEE Transactions on Big Data, vol. 6, no. 1, pp. 189-200, March 2020. DOI: 10.1109/TBDATA.2018.2880780, [PDF].

  96. Yirui Wang, Shangce Gao*, Yang Yu, Ziqian Wang, Jiujun Cheng, and Yuki Todo, "A gravitational search algorithm with chaotic neural oscillators," IEEE Access, vol. 8, pp. 25938-25948, February 2020. DOI: 10.1109/ACCESS.2020.2971505, [PDF].

  97. Jiujun Cheng, Huaichen Yan, Aiguo Zhou, Chunmei Liu, Ding Cheng, Shangce Gao*, Di Zang, and Deli Cheng, "Location Prediction Model Based on the Internet of Vehicles for Assistance to Medical Vehicles," IEEE Access, vol. 8, no. 1, pp. 10754-10767, January 2020. DOI: 10.1109/ACCESS.2019.2957785, [PDF].

  98. Jian Sun, Shangce Gao*, Hongwei Dai, Jiujun Cheng, MengChu Zhou, and Jiahai Wang, "Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks," IEEE Transactions on Cybernetics, vol. 50, no. 1, pp. 233-246, January 2020. DOI: 10.1109/TCYB.2018.2868493, [PDF].

  99. Juan Ni, Zhenhua Huang, Jiujun Cheng, and Shangce Gao, "An effective recommendation model based on deep representation learning," Information Sciences, vol. 532, pp. 324-342, January 2020. DOI: 10.1016/j.ins.2020.07.038, [PDF].

  100. Jinjuan Ju, Wei Duan, Qiang Sun, Shangce Gao*, and Guoan Zhang, "Performance Analysis for Cooperative NOMA With Opportunistic Relay Selection," IEEE Access, vol. 7, pp. 131488-131500, September 2019. DOI: 10.1109/ACCESS.2019.2940969, [PDF].

  101. Yang Yu, Shangce Gao*, Yirui Wang, Zhenyu Lei, Jiujun Cheng, and Yuki Todo, "A Multiple Diversity-Driven Brain Storm Optimization Algorithm With Adaptive Parameters," IEEE Access, vol. 7, pp. 126871-126888, September 2019. DOI: 10.1109/ACCESS.2019.2939353, [PDF].

  102. Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao*, Zheng Tang, and Yuki Todo, "A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction," Complexity, vol. 2019, Article ID 8682124, 21 pages, August 2019. DOI: 10.1155/2019/8682124, [PDF].

  103. Jiujun Cheng, Qi Ma, Runshen Yu, Chunmei Liu, Ding Cheng, Shangce Gao*, and Zhenhua Huang, "Research on the Prediction-Based Clustering Method in the Community of Medical Vehicles for Connected Health," IEEE Access, vol. 7, pp. 71884-71896, June 2019. DOI: 10.1109/ACCESS.2019.2920673, [PDF].

  104. Jiujun Cheng, Guiyuan Yuan, MengChu Zhou, Shangce Gao*, Cong Liu, and Hua Duan, "A Fluid Mechanics-Based Data Flow Model to Estimate VANET Capacity," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 6, pp. 2603-2614, June 2019. DOI: 10.1109/TITS.2019.2921074, [PDF].

  105. Yirui Wang, Yang Yu, Shangce Gao*, Haiyu Pan, and Gang Yang, "A hierarchical gravitational search algorithm with an effective gravitational constant," Swarm and Evolutionary Computation, vol. 46, pp. 118-139, May 2019. DOI: 10.1016/j.swevo.2019.02.004, [PDF].

  106. Cong Liu, Qingtian Zeng, Hua Duan, Shangce Gao, and Chanhong Zhou, "Towards Comprehensive Support for Business Process Behavior Similarity Measure," IEICE Transactions on Information and Systems, vol. E102-D, no. 3, pp. 588-597, March 2019. DOI: 10.1587/transinf.2018EDP7127, [PDF].

  107. Yu Yang, Hongwei Dai, Shangce Gao*, Yirui Wang, Dongbao Jia, and Zheng Tang, "Complete receptor editing operation based on quantum clonal selection algorithm for optimization problems," IEEJ Transactions on Electrical and Electronic Engineering, vol. 14, no. 3, pp. 411-421, March 2019. DOI: 10.1002/tee.22822, [PDF].

  108. Yirui Wang, Shangce Gao*, Yang Yu, and Zhe Xu, "The discovery of population interaction with a power law distribution in brain storm optimization," Memetic Computing, vol. 11, pp. 65-87, March 2019. DOI: 10.1007/s12293-017-0248-z, [PDF].

  109. Shangce Gao, MengChu Zhou, Yirui Wang, Jiujun Cheng, Hanaki Yachi, and Jiahai Wang, "Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction," IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 2, pp. 601-614, February 2019. (Highly Cited Paper, Top 1%) DOI: 10.1109/TNNLS.2018.2846646, [PDF].

  110. Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang, and Yuki Todo, "An artificial bee colony algorithm search guided by scale-free networks," Information Sciences, vol. 473, pp. 142-165, January 2019. DOI: 10.1016/j.ins.2018.09.034, [PDF].

  111. Yang Yu, Shangce Gao*, Yirui Wang, Jiujun Cheng, and Yuki Todo, "ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection," IEEE Access, vol. 6, pp. 36977-36994, December 2018. DOI: 10.1016/j.asoc.2018.07.042, [PDF].

  112. Cong Liu, Shi Wang, Shangce Gao*, Feng Zhang, and Jiujun Cheng, "User behavior discovery from low-level software execution log," IEEJ Transactions on Electrical and Electronic Engineering, vol. 13, no. 11, pp. 1624-1632, November 2018. DOI: 10.1002/tee.22727, [PDF].

  113. Shuangbao Song, Junkai Ji, Xingqian Chen, Shangce Gao, Zheng Tang, and Yuki Todo, "Adoption of an improved PSO to explore a compound multi-objective energy function in protein structure prediction," Applied Soft Computing, vol. 11, pp. 539-551, November 2018. DOI: 10.1016/j.asoc.2018.07.042, [PDF].

  114. Jiujun Cheng, Xiao Wu, Mengchu Zhou, Shangce Gao*, Zhenhua Huang, and Cong Liu, "A novel method for detecting new overlapping community in complex evolving networks," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 9, pp. 1832-1844, September 2018. DOI: 10.1109/TSMC.2017.2779138, [PDF].

  115. Cong Liu, Jianpeng Zhang, Guangming Li, Shangce Gao*, and Qingtian Zeng, "A two-layered framework for the discovery of software behavior: A case study," IEICE Transactions on Information and Systems, vol. E101-D, no. 8, pp. 2005-2014, August 2018. DOI: 10.1587/transinf.2017EDP7027, [PDF].

  116. Shangce Gao, Shuangbao Song, Jiujun Cheng, Yuki Todo, and MengChu Zhou, "Incorporation of solvent effect into multi-objective evolutionary algorithm for improved protein structure prediction," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 4, pp. 1365-1378, July 2018. DOI: 10.1109/TCBB.2017.2705094, [PDF].

  117. Shuangbao Song, Shangce Gao*, Xingqian Chen, Dongbao Jia, Xiaoxiao Qian, and Yuki Todo, "AIMOES: Archive information assisted multi-objective evolutionary strategy for ab initio protein structure prediction," Knowledge-Based Systems, vol. 146, pp. 58-72, April 2018. DOI: 10.1016/j.knosys.2018.01.028, [PDF].

  118. Yang Yu, Shangce Gao*, Yirui Wang, and Yuki Todo, "Global Optimum-based Search Differential Evolution," IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 2, pp. 379-394, March 2018. DOI: 10.1109/JAS.2019.1911378, [PDF].

  119. Jiujun Cheng, Hao Mi, Zhenhua Huang, Shangce Gao*, Di Zang, and Cong Liu, "Connectivity Modeling and Analysis for Internet of Vehicles in Urban Road Scene," IEEE Access, vol. 6, pp. 2692-2702, February 2018. DOI: 10.1109/ACCESS.2017.2748957, [PDF].

  120. Junkai Ji, Shuangbao Song, Yajiao Tang, Shangce Gao, Zheng Tang, and Yuki Todo, "Approximate logic neuron model trained by states of matter search algorithm," Knowledge-Based Systems, vol. 163, pp. 120-130, January 2018. DOI: 10.1016/j.knosys.2018.08.020, [PDF].

  121. Yang Yu, Shangce Gao*, Shi Cheng, Yirui Wang, Shuangyu Song, and Fenggang Yuan, "CBSO: a memetic brain storm optimization with chaotic local search," Memetic Computing, vol. 10, no. 4, pp. 353-367, December 2017. DOI: 10.1007/s12293-017-0247-0, [PDF].

  122. Junkai Ji, Shangce Gao*, Shuaiqun Wang, Yajiao Tang, Hang Yu, and Yuki Todo, "Self-Adaptive Gravitational Search Algorithm With a Modified Chaotic Local Search," IEEE Access, vol. 5, pp. 17881-17895, September 2017. DOI: 10.1109/ACCESS.2017.2748957, [PDF].

  123. Shangce Gao, Yirui Wang, Jiahai Wang, and Jiujun Cheng, "Understanding differential evolution: A Poisson law derived from population interaction network," Journal of Computational Science, vol. 21, pp. 140-149, July 2017. DOI: 10.1016/j.jocs.2017.06.007, [PDF].

  124. Yalan Zhou, Jiahai Wang, Jian Chen, Shangce Gao, and Luyao Teng, "Ensemble of many-objective evolutionary algorithms for many-objective problems," Soft Computing, vol. 21, no. 9, pp. 2407-2419, May 2017. DOI: 10.1007/s00500-015-1955-3, [PDF].

  125. Zhenyu Song, Shangce Gao*, Yang Yu, Jian Sun, and Yuki Todo, "Multiple chaos embedded gravitational search algorithm," IEICE Transactions on Information and Systems, vol. E100-D, no. 4, pp. 888-900, April 2017. DOI: 10.1587/transinf.2016EDP7512, [PDF].

  126. Jiujun Cheng, Liu-Fei Hu, Shangce Gao*, JunJun Liu, and Yang Yang, "An optimized collaborative filtering method to construct spatial-temporal behavior pattern-based user interest model," IEEJ Transactions on Electrical and Electronic Engineering, vol. 12, no. 2, pp. 221-227, March 2017. DOI: 10.1002/tee.22369, [PDF].

  127. Tao Jiang, Shangce Gao*, Dizhou Wang, Junkai Ji, Yuki Todo, and Zheng Tang, "A neuron model with synaptic nonlinearities in a dendritic tree for liver disorders," IEEJ Transactions on Electrical and Electronic Engineering, vol. 12, no. 1, pp. 105-115, January 2017. DOI: 10.1002/tee.22350, [PDF].

  128. Wei Chen, Jian Sun, Shangce Gao*, Jiujun Cheng, Jiahai Wang, and Yuki Todo, "Using a single dendritic neuron to forecast tourist arrivals to Japan," IEICE Transactions on Information and Systems, vol. E100-D, no. 1, pp. 190-202, January 2017. DOI: 10.1587/transinf.2016EDP7152, [PDF].

  129. Shuaiqun Wang, Aorigele, Guanjun Liu, and Shangce Gao, "A Hybrid Discrete Imperialist Competition Algorithm for Fuzzy Job-Shop Scheduling Problems," IEEE Access, vol. 4, pp. 9320-9331, November 2016. DOI: 10.1109/ACCESS.2016.2645818, [PDF].

  130. Tianle Zhou, Shangce Gao*, Jiahai Wang, Chaoyi Chu, Yuki Todo, and Zheng Tang, "Financial time series prediction using a dendritic neuron model," Knowledge-Based Systems, vol. 105, pp. 214-224, August 2016. DOI: 10.1016/j.knosys.2016.05.031, [PDF].

  131. Shangce Gao, Yirui Wang, Jiujun Cheng, Yasuhiro Inazumi, and Zheng Tang, "Ant colony optimization with clustering for solving the dynamic location routing problem," Applied Mathematics and Computation, vol. 285, pp. 149-173, July 2016. (Highly Cited Paper, Top 1%) DOI: 10.1016/j.amc.2016.03.035, [PDF].

  132. Zhe Xu, Yirui Wang, Sheng Li, Yanting Liu, Yuki Todo, and Shangce Gao*, "Immune algorithm combined with estimation of distribution for traveling salesman problem," IEEJ Transactions on Electrical and Electronic Engineering, vol. 11, no. S1, June 2016. DOI: 10.1002/tee.22247, [PDF].

  133. Cong Liu, Jiujun Cheng, Yirui Wang, and Shangce Gao*, "Time Performance Optimization and Resource Conflicts Resolution for Multiple Project Management," IEICE Transactions on Information and Systems, vol. E99-D, no. 3, pp. 650-660, March 2016. DOI: 10.1587/transinf.2015EDP7397, [PDF].

  134. Junkai Ji, Shangce Gao*, Jiujun Cheng, Zheng Tang, and Yuki Todo, "An approximate logic neuron model with a dendritic structure," Neurocomputing, vol. 173, pp. 1775-1783, January 2016. DOI: 10.1016/j.neucom.2015.09.052, [PDF].

  135. Jiujun Cheng, JunLu Cheng, MengChu Zhou, FuQiang Liu, Shangce Gao, and Cong Liu, "Routing in Internet of vehicles: A review," IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 5, pp. 2339-2352, October 2015. (Highly Cited Paper, Top 1%) DOI: 10.1109/TITS.2015.2423667, [PDF].

  136. Zijun Sha, Lin Hu, Yuki Todo, Junkai Ji, Shangce Gao*, and Zheng Tang, "A breast cancer classifier using a neuron model with dendritic nonlinearity," IEICE Transactions on Information and Systems, vol. E98-D, no. 7, pp. 1365-1376, July 2015. DOI: 10.1587/transinf.2014EDP7418, [PDF].

  137. Shuaiqun Wang, Shangce Gao*, Aorigele, Yuki Todo, and Zheng Tang, "A multi-learning immune algorithm for numerical optimization," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E98-A, no. 1, pp. 362-377, January 2015. DOI: 10.1587/transfun.E98.A.362, [PDF].

  138. Shangce Gao, Catherine Vairappan, Yan Wang, Qiping Cao, and Zheng Tang, "Gravitational search algorithm combined with chaos for unconstrained numerical optimization," Applied Mathematics and Computation, vol. 231, pp. 48-62, March 2014. (Highly Cited Paper, Top 1%) DOI: 10.1016/j.amc.2013.12.175, [PDF].

  139. Jiujun Cheng, Shangce Gao*, Catherine Vairappan, Rong-Long Wang, and Antti Ylä-Jääski, "A Buffer Overflow Based Algorithm to Conceal Software Watermarking Trigger Behavior," IEICE Transactions on Information and Systems, vol. E97-D, no. 3, pp. 524-532, March 2014. DOI: 10.1587/transinf.E97.D.524, [PDF].

  140. Shangce Gao, Yuki Todo, Tao Gong, Gang Yang, and Zheng Tang, "Graph planarization problem optimization based on triple-valued gravitational search algorithm," IEEJ Transactions on Electrical and Electronic Engineering, vol. 9, no. 1, pp. 39-48, January 2014. DOI: 10.1002/tee.21934, [PDF].

  141. Junqi Zhang, Lina Ni, Chen Xie, Shangce Gao, and Zheng Tang, "Inertial estimator learning automata," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E95-A, no. 6, pp. 1041-1048, June 2012.

  142. Shangce Gao, Qiping Cao, Masahiro Ishii, and Zheng Tang, "Local search with probabilistic modeling for learning multiple-valued logic networks," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E94-A, no. 2, pp. 795-805, February 2011.

  143. Hongwei Dai, Shangce Gao, Yu Yang, and Zheng Tang, "Effects of "rich-gets-richer" rule on small-world networks," Neurocomputing, vol. 73, no. 10-12, pp. 2286-2289, June 2010.

  144. Shangce Gao, Rong-Long Wang, Masahiro Ishii, and Zheng Tang, "An artificial immune system with feedback mechanisms for effective handling of population size," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E93-A, no. 2, pp. 532-541, February 2010.

  145. Shangce Gao, Qiping Cao, Zhiqiang Zhang, and Zheng Tang, "A Chaotic Clonal Selection Algorithm and its Application to Synthesize Multiple-Valued Logic Functions," IEEJ Transactions on Electrical and Electronic Engineering, vol. 5, no. 1, pp. 105-114, January 2010.

  146. Wei Wang, Shangce Gao, and Zheng Tang, "Improved pattern recognition with complex artificial immune system," Soft Computing, vol. 13, no. 12, pp. 1209-1217, December 2009.

  147. Shangce Gao, Rong-Long Wang, Hiroki Tamura, and Zheng Tang, "A multi-layered immune system for graph planarization problem," IEICE Transactions on Information and Systems, vol. E92-D, no. 12, pp. 2498-2507, December 2009.

  148. Shangce Gao, Jianchen Zhang, Zheng Tang, and Qiping Cao, "A Chaotic Dynamic Local Search Method for Learning Multiple-Valued Logic Networks," Journal of Multiple-Valued Logic & Soft Computing, vol. 15, no. 5, pp. 433-449, May 2009.

  149. Catherine Vairappan, Hiroki Tamura, Shangce Gao, and Zheng Tang, "Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time series prediction," Neurocomputing, vol. 72, no. 7-9, pp. 1870-1877, March 2009.

  150. Shangce Gao, Qiping Cao, Catherine Vairappan, Jianchen Zhang, and Zheng Tang, "An improved local search learning method for multiple-valued logic network minimization with bi-objectives," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E92-A, no. 2, pp. 594-603, February 2009.

  151. Hongwei Dai, Yu Yang, Cunhua Li, Jun Shi, Shangce Gao, and Zheng Tang, "Quantum interference crossover-based clonal selection algorithm and its application to traveling salesman problem," IEICE Transactions on Information and Systems, vol. E92-D, no. 1, pp. 78-85, January 2009.

  152. Shangce Gao, Hongwei Dai, Jianchen Zhang, and Zheng Tang, "An expanded lateral interactive clonal selection algorithm and its application," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E91-A, no. 8, pp. 2223-2231, August 2008.

  153. Shangce Gao, Wei Wang, Hongwei Dai, Fangjia Li, and Zheng Tang, "Improved clonal selection algorithm combined with ant colony optimization," IEICE Transactions on Information and Systems, vol. E91-D, no. 6, pp. 1813-1823, June 2008.

  154. Shangce Gao, Zheng Tang, Hongwei Dai, and Jianchen Zhang, "An improved clonal selection algorithm and its application to traveling salesman problems," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E90-A, no. 12, pp. 2930-2938, December 2007.

  155. Shangce Gao, Hongwei Dai, Gang Yang, and Zheng Tang, "A novel clonal selection algorithm and its application to traveling salesman problem," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E90-A, no. 10, pp. 2318-2325, October 2007.

  156. Qiping Cao, Shangce Gao, Jianchen Zhang, Zheng Tang, and Haruhiko Kimura, "A stochastic dynamic local search method for learning multiple-valued logic networks," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E90-A, no. 5, pp. 1085-1092, May 2007.

SELECTED CONFERENCE PAPERS

  1. Shintaro Fuji, Syuhei Sato, Kei Iwasaki, Yoshinori Dobashi, Shangce Gao, and Zheng Tang, "Rendering of Scratched Transparent Materials using Precomputed SV-BSDFs," in ACM SIGGRAPH 2022 Posters, pp. 1-2, July 2022. DOI: 10.1145/3532719.3543207, [PDF].

" * " denotes Corresponding Author