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Update: 2024-04-19

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JOURNAL PAPERS

  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. 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.

  3. 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].

  4. 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].

  5. 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].

  6. 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].

  7. 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].

  8. 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].

  9. 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].

  10. 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].

  11. 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].

  12. 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].

  13. 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].

  14. 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].

  15. 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].

  16. 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].

  17. 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].

  18. 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].

  19. 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].

  20. 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].

  21. 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].

  22. 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].

  23. 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].

  24. 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].

  25. 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].

  26. 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].

  27. 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].

  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. 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].

  30. 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].

  31. 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].

  32. 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].

  33. 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].

  34. 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].

  35. 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].

  36. 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].

  37. 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].

  38. 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].

  39. 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].

  40. 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].

  41. 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].

  42. 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].

  43. 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].

  44. 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].

  45. 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].

  46. 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].

  47. 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].

  48. 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].

  49. 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].

  50. 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].

  51. 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].

  52. 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].

  53. 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].

  54. 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].

  55. 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].

  56. 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].

  57. 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].

  58. 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].

  59. 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].

  60. 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].

  61. 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].

  62. 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].

  63. 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].

  64. 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].

  65. 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].

  66. 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].

  67. 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].

  68. 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].

  69. 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].

  70. 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].

  71. 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].

  72. 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].

  73. 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].

  74. 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].

  75. 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].

  76. 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].

  77. 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].

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].