宋双宝

宋双宝  博士、副教授

常州大学计算机与人工智能学院、阿里云大数据学院

江苏常州 213164

EMAIL: leadingsong@cczu.edu.cn

教育背景:

2009-2013 苏州大学，电子信息学院，微电子学专业，工学学士

2014-2017 日本国立富山大学，理工学教育部，智能信息工程专业，工学硕士

2017-2020 日本国立富山大学，理工学教育部，数理与人类系统科学专业，工学博士

工作履历:

2020-至今 常州大学 计算机与人工智能学院 数据科学与大数据技术专业 专任教师

学术兼职:

中国计算机学会(CCF) 会员

中国人工智能学会(CAAI) 会员

IEEE学会会员

主授课程:

机器学习，Python科学计算，数据处理技术

研究领域:

人工智能，神经网络，生物信息，药物设计

奖励与荣誉:

2016  日本富山县国际交流奖学金

2018  日本朝日国际教育財団奖学金

2019  日本大塚敏美育英奨学財団奖学金

学术成果

发表论文：

SCI论文

[1]Shuangbao Song, Xingqian Chen*, Yanxin Zhang, Zheng Tang, Yuki Todo*. "Protein-ligand docking using differential evolution with an adaptive mechanism." Knowledge-Based Systems 231 (2021): 107433. (SCI, 2022-IF:8.139, 中科院1区)

[2] Shuangbao Song, Shangce Gao*, Xingqian Chen, Dongbao Jia, Xiaoxiao Qian, Yuki Todo. "AIMOES: Archive information assisted multi-objective evolutionary strategy for ab initio protein structure prediction." Knowledge-Based Systems 146 (2018): 58-72.  (SCI, 2022-IF:8.139, 中科院1区)

[3] Shuangbao Song, Junkai Ji, Xingqian Chen, Shangce Gao, Zheng Tang, Yuki Todo*. "Adoption of an improved PSO to explore a compound multi-objective energy function in protein structure prediction." Applied Soft Computing 72 (2018): 539-551. (SCI, 2022-IF:8.263, 中科院2区)

[4] Shuangbao Song*, Xingqian Chen, Shuangyu Song, Yuki Todo. "A Neuron Model with Dendrite Morphology for Classification." Electronics 10(9) (2021): 1062. (SCI, 2022-IF:2.690, 中科院4区)

[5] Shuangbao Song, Xingqian Chen*, Zheng Tang, Yuki Todo*. "A Two-Stage Method Based on Multiobjective Differential Evolution for Gene Selection." Computational Intelligence and Neuroscience2021(2021):5227377.  (SCI, 2022-IF:3.120, 中科院4区)

[6] Cheng Tang, Shuangbao Song, Junkai Ji*, Yajiao Tang, Zheng Tang, Yuki Todo. “A cuckoo search algorithm with scale-free population topology.” Expert Systems with Applications 188 (2022): 116049. (SCI, 2022-IF:8.665, 中科院1区)

[7] Xingqian Chen, Shuangbao Song, Junkai Ji, Zheng Tang, Yuki Todo*. “Incorporating a multiobjective knowledge-based energy function into differential evolution for protein structure prediction” Information Sciences540 (2020): 69-88.  (SCI, 2022-IF:8.233, 中科院1区)

[8] Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang, Yuki Todo*. "An artificial bee colony algorithm search guided by scale-free networks." Information Sciences 473 (2019): 142-165.  (SCI, 2022-IF:8.233, 中科院1区)

[9] Junkai Ji, Shuangbao Song, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo*. "Approximate logic neuron model trained by states of matter search algorithm." Knowledge-Based Systems 163 (2019): 120-130.(SCI, 2022-IF:8.139, 中科院1区)

[10] Shangce Gao, Shuangbao Song, Jiujun Cheng*, Yuki Todo, Mengchu Zhou*. "Incorporation of solvent effect into multi-objective evolutionary algorithm for improved protein structure prediction."IEEE/ACM Transactions on Computational Biology and Bioinformatics15(4) (2018): 1365-1378.  (SCI, 2022-IF:3.702, 中科院3区)

[11]  Xiaolong Cheng, Jia Qu*, Shuangbao Song, Zekang Bian. Neighborhood-based inference and restricted Boltzmann machine for microbe and drug associations prediction. PeerJ 10 (2022): e13848. (SCI, 2022-IF:3.061, 中科院3区)

[12]Shuangyu Song, Xingqian Chen, Cheng Tang, Shuangbao Song, Zheng Tang, Yuki Todo*. "Training an Approximate Logic Dendritic Neuron Model Using Social Learning Particle Swarm Optimization Algorithm." IEEE Access 7 (2019) 141947-141959（SCI, 2022-IF:3.476，中科院3区）

EI论文

[13] Ying Yu, Shuangbao Song, Tianle Zhou, Hanaki Yachi, Shangce Gao*. "Forecasting house price index of China using dendritic neuron model." 2016 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2016: 37-41. (EI)

[14] Tianle Zhou, Chaoyi Chu, Shuangbao Song, Yirui Wang, Shangce Gao*. "A dendritic neuron model for exchange rate prediction." 2015 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2015: 10-14. (EI)

[15] Zhenyu Song, Yajiao Tang, Xingqian Chen, Shuangbao Song, Shuangyu Song, Shangce Gao*. "A preference-based multi-objective evolutionary strategy for Ab initio prediction of proteins." 2017 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2017: 7-12. (EI)

[16] Junkai Ji*, Minhui Dong, Cheng Tang, Jiajun Zhao, Shuangbao Song. "A Novel Plastic Neural Model with Dendritic Computation for Classification Problems." International Conference on Intelligent Computing. Springer, Cham, 2020: 471-483. (EI)

研究项目:

1. 2023.01-2025.12，国家自然科学基金青年基金，项目编号:62203069，30万, 主持。

2. 2022.07-2025.06, 江苏省自然科学基金青年基金，项目编号:BK20220619, 20万, 主持。