[1] Song Jinmiao, Tian Shengwei, Yu Long, Yang Qimeng, et al. MD-MLI: prediction of miRNA–lncRNA interaction by using multiple features and hierarchical deep learning[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, 19(3): 1724-1733. [2] Song Jinmiao, Tian Shengwei, Yu Long, Yang Qimeng, et al. AC-caps: attention based capsule network for predicting RBP binding sites of lncRNA[J]. Interdisciplinary Sciences: Computational Life Sciences, 2020, 12: 414-423. [3] Song Jinmiao, Tian Shengwei, Yu Long, Yang Qimeng, et al. ISLMI: Predicting lncRNA-miRNA Interactions Based on Information Injection and Second-Order Graph Convolution Network[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, 20(3): 1737-1745. [4] Wang Yuanxu, Song Jinmiao*, Wei Mingjie, Duan Xiaodong. Predicting Potential Drug–Disease Associations Based on Hypergraph Learning with Subgraph Matching[J]. Interdisciplinary Sciences: Computational Life Sciences, 2023, 15(2): 249-261. [5] Wang Yuanxu, Song Jinmiao*, Duan Xiaodong, Dai Qiguo, et al. Hierarchical negative sampling based graph contrastive learning approach for drug-disease association prediction[J]. IEEE Journal of Biomedical and Health Informatics, 2024. [6] Xie Fansen, Yang Ziqi, Song Jinmiao*, Dai Qiguo, et al. DHNLDA: A novel deep hierarchical network based method for predicting lncRNA-disease associations[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 19(6): 3395-3403. [7] Dai Qiguo, Wang Zhaowei, Song Jinmiao*, et al. A stacked ensemble learning framework with heterogeneous feature combinations for predicting ncRNA-protein interaction[C]//2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020: 67-71. [8] Song Jinmiao, Wei Mingjie, Zhao Shuang, et al. Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning[J]. Interdisciplinary Sciences: Computational Life Sciences, 2024: 1-13. [9] Song Jinmiao, Hao Yatong, Zhao Shuang, et al. Dual-Stream Cross-Modal Fusion Alignment Network for Survival Analysis[J]. Briefings in Bioinformatics, 2025. 发明专利: 一种基于分层深度学习miRNA-lncRNA互作关系的预测方法(专利号:ZL202011144398.8 授权公告号:CN112270958B)申请日:2020年10月23日 授权公告日:2023年6月20日 大连民族大学 发明人:宋金淼 专著: 调度问题求解与优化,清华大学出版社,宁涛、宋金淼 招生信息: 希望学生具备科学精神、独立思考能力及团结协作意识,团队崇尚“淬火成钢”的培养模式,若有“划水摸鱼”等敷衍态度,请勿彼此消耗宝贵时间。欢迎有求知欲且有行动力的学生加入!有意加入者需具备: ※ 较好的英语水平和编程能力 ※ 对算法研究及应用有浓厚兴趣 |