1、基本信息
姓名：李国栋
办公地点：南湖综合楼11楼N1120
专业职称：讲师（高校）
硕士生招生专业：机器学习，数据挖掘，孤独症智能化评估干预
邮箱：liguodong@ccnu.edu.cn
2、发表论文
G. Li, X. Su, Y. Yang, D. Li, X. Deng, P. Hu, L. Hu. Interpretability-guided RNA N6-Methyladenosine modification site prediction with invertible neural networks. Communications Biology. SCI, 中科院一区Top, 影响因子：5.2)
G. Li, B. Zhao, X. Su, D. Li, Y. Yang, Z. Zeng, L. Hu. Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyladenosine Site Identification[J]. IEEE/CAA Journal of Automatica Sinica, 2024, 11(10): 2123-2134. (SCI, 中科院一区Top，影响因子：19.2)
G. Li, Y. Yang, D. Li, X. Su, Z. Zeng, P. Hu, L. Hu . A bijective inference network for interpretable identification of RNA N6-methyladenosine modification sites. Pattern Recognition, 2025: 111541. (SCI, 中科院一区Top，影响因子：7.5)
G. Li, B. Zhao, X. Su, Y. Yang, P. Hu, X. Zhou, L. Hu. Discovering consensus regions for interpretable identification of RNA N6-methyladenosine modification sites via graph contrastive clustering. IEEE Journal of Biomedical and Health Informatics, 2024, 28(4), 2362-2372. (SCI, 中科院一区Top，影响因子：6.7)
G. Li, W. Sun, J. Xu, L. Hu, W. Zhang, P. Zhang. GA-ENs: A novel drug–target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty. Applied Soft Computing, 2023, 139: 110151. (SCI, 中科院二区，影响因子：7.2)
G. Li, P. Zhang, W. Sun, C. Ren, L. Wang. Bridging-BPs: a novel approach to predict potential drug–target interactions based on a bridging heterogeneous graph and BPs2vec. Briefings in Bioinformatics, 2022, 23(2), bbab557. (SCI, 中科院二区Top，影响因子：6.8)
Li G, Zhao B, Su X, et al. Capturing short-range and long-range dependencies of nucleotides for identifying RNA N6-methyladenosine modification sites[J]. Computers in Biology and Medicine, 2025, 186: 109625. (SCI, 中科院二区Top，影响因子：7.0)
G. Li, B. Zhao, X. Su, Y. Yang, P. Hu, L. Hu. Learning RNA sequence patterns to interpretably identify m6A modification sites. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1248-1253). IEEE. (CCF B类会议)
