三、代表性科研成果： 1、Junkai Liu, Shixuan Guan, Quan Zou, Hongjie Wu, Prayag Tiwari, Yijie Ding, AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction, Knowledge-Based Systems, 2024, 2、Hongjie Wu, Junkai Liu, Runhua Zhang, Yaoyao Lu, Guozeng Cui, Zhiming Cui, Yijie Ding, A review of deep learning methods for ligand based drug virtual screening, Fundamental Research, 2024, 3、Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding, AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism, Neural Networks, 2024, 4、L. Wang, C. Yan, H. Wu, F. Zhu, S. Kumari and M. J. F. Alenazi, A Privacy Protection Scheme for Consumer Electronics Data Based on Blockchain and AI, IEEE Transactions on Consumer Electronics, 2025. 5、Zhang, R., Zhang, X., Zhao, S., Zou, Q., Ding, Y., Guo, X. and Wu, H. (2025), Beyond ST-246: Unveiling Potential Inhibitors Targeting VP37 Protein in Silico From Herb and Marine Databases. J Comput Chem, 46: e70111. 6、Junkai Liu, Yaoyao Lu, Shixuan Guan, Tengsheng Jiang, Yijie Ding, Qiming Fu, Zhiming Cui and Hongjie Wu, Drug-target Interaction Prediction By Combining Transformer and Graph Neural Networks, Current Bioinformatics, 2024. 7、Tao, R., Wu, H., Gu, C., Chen, J. (2025). Adaptive Nuclear Norm Regularization Model for Prediction of Potential Small Molecule–miRNA Associations. In: Huang, DS., Chen, W., Zhang, C., Pan, Y., Zhang, Q., Kong, X. (eds) Applied Intelligence. ICAI 2024. 8、Chuangchuang Tian, Luping Wang, Zhiming Cui, Hongjie Wu, GTAMP-DTA: Graph transformer combined with attention mechanism for drug-target binding affinity prediction, Computational Biology and Chemistry, 2024. 9、Xu, M., Luo, Y., Jiang, J., Cui, Z., Wu, H. (2024). Protein Manufacture: Protein Design Assisted by Machine Learning from Backbone to Sequence. In: Huang, DS., Pan, Y., Zhang, Q. (eds) Advanced Intelligent Computing in Bioinformatics. ICIC 2024. 10、Zhang, Runhua and Zhu, Baozhong and Jiang, Tengsheng and Cui, Zhiming and Wu, Hongjie, Enhancing Drug-Target Binding Affinity Prediction through Deep Learning and Protein Secondary Structure Integration, Current Bioinformatics, 2024. 11、Qiu, Y., Cheng, L., Xu, M., Chen, J., Wu, H. (2024). Feature Extraction Approach for Predicting Protein-DNA Binding Residues Using Transformer Encoder-Decoder Architecture. In: Huang, DS., Zhang, Q., Guo, J. (eds) Advanced Intelligent Computing in Bioinformatics. ICIC 2024. 12、Yongsan Liu, ShiXuan Guan, TengSheng Jiang, Qiming Fu, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu, DNA protein binding recognition based on lifelong learning, Computers in Biology and Medicine, 2023. 13、Yaoyao Lu, Junkai Liu, Tengsheng Jiang, Zhiming Cui and Hongjie Wu, Drug-target Binding Affinity Prediction Based on Three-branched Multiscale Convolutional Neural Networks, Current Bioinformatics, 2023. 14、Y. Lu, R. Zhang, T. Jiang, Q. Fu, Z. Cui and H. Wu, "TrGPCR: GPCR–Ligand Binding Affinity Prediction Based on Dynamic Deep Transfer Learning," in IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 3, pp. 1613-1624, March 2025. 15、Yuqing Qian, Tingting Shang, Fei Guo, Chunliang Wang, Zhiming Cui, Yijie Ding, Hongjie Wu. Identification of DNA-binding protein based multiple kernel model[J]. Mathematical Biosciences and Engineering, 2023. 16、钱昱磬，丁漪杰，，吴宏杰，基于深度稀疏表示网络的DNA结合蛋白识别方法，发明授权，2024。 17、许满，蒋俊豪，朱宝忠，范宇杰，吴宏杰，李佳倩，基于知识图谱的注塑机模具成型多参数推荐方法，发明公开，2024。 18、陆卫忠，汤烨，吴宏杰，黄宏梅，基于神经网络的灯具利用系数及照明参数计算方法，发明授权，2023。 19、吴宏杰，卞恺慧，沈华祥，邱劲，韦俊，基于GA-BP神经网络的基坑位移预测方法，发明授权，2023。 20、刘珺恺，吴宏杰，一种结合Transformer和图神经网络的药物靶标相互作用预测方法，发明公开，2023. 21、陆遥遥，吴宏杰，基于三分支CNN的药物靶标结合亲和力预测方法，发明公开，2023。 22、钱昱磬，丁漪杰，占孝桐，吴宏杰，基于惩罚正则项的受限玻尔兹曼机的预测药物副作用方法，发明公开，2023。 23、吴宏杰，陈成，董铠铭，柳维生，一种基于多示例遗传神经网络的室内PM2.5预测方法，发明授权，2021。
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