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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 软件学院 江苏常州 213164 | |
E-MAIL: leadingsong@cczu.edu.cn
ORCID: https://orcid.org/0000-0001-7562-6698 |
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
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工作履历: |
2020-2023 常州大学 计算机与人工智能学院 讲师 2023- 常州大学 计算机与人工智能学院 副教授 |
主授课程: |
机器学习，Python科学计算, 科技论文写作 |
研究领域: |
神经网络，智能优化，生物信息 |
奖励与荣誉: |
学术成果: |
Ø 教材论著 |
Ø 发表论文 |
SCI论文： [1] S. Song, C. Tang, Z. Song, J. Qu, X. Chen*. Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein-ligand docking[J]. Applied Soft Computing, 2024, 161: 111732. (2025IF=6.6) [2] S. Song*, Q., J. Qu, Z. Song, and X. Chen. Training a Logic Dendritic Neuron Model with a Gradient-Based Optimizer for Classification[J]. Electronics, 2023, 12(1): 94. (2025IF=2.6) [3] S. Song*, B. Zhang, X. Chen, Q. Xu, and J. Qu. Wart-treatment efficacy prediction using a cma-es-based dendritic neuron model[J]. Applied Sciences, 2023, 13(11): 6542. (2025IF=2.5) [4] S. Song, X. Chen*, Y. Zhang, Z. Tang, Y. Todo*. Protein-ligand docking using differential evolution with an adaptive mechanism. Knowledge-Based Systems 231 (2021): 107433. (2025IF=7.6) [5] S. Song*, X. Chen, S. Song, Y. Todo. A Neuron Model with Dendrite Morphology for Classification. Electronics 10(9) (2021): 1062. (2025IF=2.6) [6] S. Song, X. Chen*, Z. Tang, Y. Todo*. A Two-Stage Method Based on Multiobjective Differential Evolution for Gene Selection. Computational Intelligence and Neuroscience 2021 (2021):5227377. (SCI) [7] S. Song, S. Gao*, X. Chen, D. Jia, X. Qian, Y. Todo. AIMOES: Archive information assisted multi-objective evolutionary strategy for ab initio protein structure prediction. Knowledge-Based Systems 146 (2018): 58-72. (2025IF=7.6) [8] S. Song, J. Ji, X. Chen, S. Gao, Z. Tang, Y. 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. (2025IF=6.6) [9] X. Chen, S. Song*, J. Ji, S. Song, X. Zhou, H. Zhang. An explainable machine learning-based scoring function using interpretable features and model explanation approaches for binding affinity prediction, Expert Systems With Applications 318 (2026):131919. (2025IF=7.5) [10] X. Chen, S. Song*, Z. Song, S. Song, J. Ji. BoostSF-SHAP: Gradient boosting-based software for protein-ligand binding affinity prediction with explanations[J]. Neurocomputing, 2025, 622: 129303. (2025IF=6.5) [11] X. Chen, H. Fan, W. Chen, Y. Zhang, D. Zhu, and S. Song*. Explaining a Logic Dendritic Neuron Model by Using the Morphology of Decision Trees[J]. Electronics, 2024, 13(19): 3911. (2025IF=2.6) [12] Z. Song*, S. Song, Y. Tang, S. Song, L. Tan*, C. Tang. Short-term traffic flow prediction with a dendritic neural network-enhanced time series decomposition framework Applied Soft Computing 196 (2026): 115072. (2025IF=6.6) [13] C. Tang, S. Song, J. Ji*, Y. Tang, Z. Tang, Y. Todo. “A cuckoo search algorithm with scale-free population topology.” Expert Systems with Applications 188 (2022): 116049. (2025IF=7.5) [14] X. Chen, S. Song, J. Ji, Z. Tang, Y. Todo*. “Incorporating a multiobjective knowledge-based energy function into differential evolution for protein structure prediction” Information Sciences 540 (2020): 69-88. (2025IF=6.8) [15] J. Ji, S. Song, C. Tang, S. Gao, Z. Tang, Y. Todo*. An artificial bee colony algorithm search guided by scale-free networks. Information Sciences 473 (2019): 142-165. (2025IF=6.8) [16] J. Ji, S. Song, Y. Tang, S. Gao, Z. Tang, Y. Todo*. Approximate logic neuron model trained by states of matter search algorithm. Knowledge-Based Systems 163 (2019): 120-130. (2025IF=7.6) [17] S. Gao, S. Song, J. Cheng*, Y. Todo, M. Zhou*. Incorporation of solvent effect into multi-objective evolutionary algorithm for improved protein structure prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics 15(4) (2018): 1365-1378. (2025IF=3.4) [18] Z. Song*, S. Song, S. Song, L. Tan*, C. Tang, J. Ji. Evaluating a novel incremental-input neural network for multivariate air temperature forecasting Engineering Applications of Artificial Intelligence(170) 2026: 114203. (2025IF=8.0) [19] H. Jin; X. Yang; S. Song; Z. Song; J. Ji*; A temporally coded multilayerspiking neural network and its memristor-based hardware implementation, Neurocomputing, 2025,656：131523. (2025IF=6.5) [20] Z. Song*, C. Tang, S. Song, Y. Tang, J. Li, J. Ji*. A complex network-based firefly algorithm for numerical optimization and time series forecasting[J]. Applied Soft Computing, 2023, 137: 110158. (2025IF=6.6) [21] Z. Song*, Y. Tang, S. Song, B. Zhang, and C. Tang*. Assessing Residential Building Energy Efficiency Using Evolutionary Dendritic Neural Regression[J]. Electronics, 2024, 13(10): 1803. (2025IF=2.6) [22] X. Cheng, J. Qu*, S. Song, Z. Bian. Neighborhood-based inference and restricted Boltzmann machine for microbe and drug associations prediction. PeerJ 10 (2022): e13848. (2025IF=2.4) [23] S. Song, X. Chen, C. Tang, S. Song, Z. Tang, Y. Todo*. Training an Approximate Logic Dendritic Neuron Model Using Social Learning Particle Swarm Optimization Algorithm. IEEE Access 7 (2019) 141947-141959. (2025IF=3.6) [24] Z. Song*, Z. Shi*, X. Yan, B. Zhang, S. Song, and C. Tang. An Improved Weighted Cross-Entropy-Based Convolutional Neural Network for Auxiliary Diagnosis of Pneumonia[J]. Electronics (2079-9292), 2024, 13(15). (2025IF=2.6)
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Ø 专利成果 |
研究项目: |
2023.01-2025.12，国家自然科学基金青年项目，多目标优化视角下基于多种类型打分函数的蛋白质-配体对接方法研究， 主持。 2022.07-2025.06, 江苏省自然科学基金青年项目，药物设计中的基于多目标优化的蛋白质-配体对接方法研究, 主持。 2025.01-2028.12, 国家自然科学基金面上项目，基于多模态注意力机制网络和多目标优化的药物设计方法研究, 参与。
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