董云云（博士后）

研究领域：AI辅助药物发现、影像基因智能计算、计算机视觉

电子邮箱：dongyunyun312902@126.com

个人简介：副教授，硕士生导师，工学博士、博士后，芬兰坦佩雷应用科技大学访问学者。CCF YOCSEF太原分论坛2026-2027届主席，山西省专家学者协会数智医疗与大健康分会委员，国家自然科学基金评审专家，中国国际大学生创新大赛评审专家。近年来主持国家自然科学基金、山西省自然科学基金、山西省重点研发项目子课题等6项，先后以第一或者通讯作者发表高水平论文20余篇，申请发明专利8项，出版学术专著1部，参编教材3部，指导学生参加省部级比赛获奖8项。

主要项目

    [1]国家自然科学基金，动态关联映射及卷积表征协同驱动的个性化用药策略生成方法研究，主持

    [2]山西省自然科学基金，肺癌影像和基因跨模态关联映射下的耐药性预测及智能用药分析方法研究，主持

    [3]山西省重点研发项目子课题，基于机器学习的蜂窝肺医学影像识别和分割技术，主持

主要论文

    [1] Yunyun Dong, Yuanrong Zhang,Yuhua Qian*, et al. ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction[J]. PLOS Computational Biology, 2025, 21(1): e1012748.

    [2] Yunyun Dong, Jianguang Li, Yuhua Qian*,et al. DILPA-DTA: A Dilated-convolution Interaction and Laplacian Position-Aware method for Predicting Drug-Target Binding Affinity[C]//2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2025: 878-884. 

    [3] Yunyun Dong, Yunqing Chang, Yuxiang Wang, et al. MFSynDCP: multi-source feature collaborative interactive learning for drug combination synergy prediction[J]. BMC bioinformatics, 2024, 25(1): 140.

    [4] Yunyun Dong, Yujie Bai, Haitao Liu, et al. DKPE-GraphSYN: a drug synergy prediction model based on joint dual kernel density estimation and positional encoding for graph representation[J]. Frontiers in Genetics, 2024, 15: 1401544.

    [5] Yunyun Dong, Bingqian Yang, Jianguang Li, et al. Non-invasive method for detecting epidermal growth factor receptor gene types combining convolutional neural network and transformer[J]. Journal of Electronic Imaging, 2024, 33(5): 053017-053017.

    [6] Yunyun Dong, Bingqian Yang, Xiufang Feng, et al. Multitask Learning for Concurrent Grading Diagnosis and Semi-Supervised Segmentation of Honeycomb Lung in CT Images[J]. Electronics, 2024, 13(11): 2115. 

    [7] Yuanrong Zhang ,Yiming Zhao,Mengxin Wang,Yunyun Dong* et al. A medical image segmentation method based on adaptive graph sparse algorithm under contrastive learning framework[J]. Displays, 2025, 87: 102971.

    [8] ZiAn Zhao, Xiufang Feng,XiaoQiang Ren, Yunyun Dong*, et al. Uncertainty-guided cross learning via CNN and transformer for semi-supervised honeycomb lung lesion segmentation[J]. Physics in Medicine & Biology, 2023, 68(24): 245010.

    [9]Yuanrong Zhang, Xiufang Feng, Yunyun Dong*, et al. SM-GRSNet: sparse mapping-based graph representation segmentation network for honeycomb lung lesion[J]. Physics in Medicine & Biology, 2024, 69(8): 085020. 

    [10]Dong Yunyun, Lina Hou ,Wenkai Yang , et al. Multi-channel multi-task deep learning for predicting EGFR and KRAS mutations of non-small cell lung cancer on CT images.[J].Quantitative imaging in medicine and surgery,2021,11(6):2354-2375.

代表性专利

    [1]董云云、孙丽超、景超 等.《残差网络与通道注意力协同驱动下的基因突变预测方法》 

    [2]董云云、常云青、刘冉冉 等.《基于知识图谱嵌入、GNN 和 Bi-LSTM 的抗癌药物协同预测方法》

    [3]赵子安、冯秀芳、董云云 等.《一种基于Transformer半监督算法的蜂窝肺病灶图像分割识别方法》

    [4]白玉洁、冯秀芳、董云云 等.《基于Transformer并行交叉融合模型的蜂窝肺病程周期检测评估方法及装置》

    [5]常云青、冯秀芳、董云云 等.《一种基于深度强化学习的肺癌患者用药预测方法及装置》 

    [6]李建光、冯秀芳、董云云 等.《基于3D结构与多层次注意力机制的药物靶标预测方法》

代表性专著和教材

    《基于医学影像和基因数据的肺癌辅助诊断方法研究》，科技文献出版社，专著

    《计算机网络》，中国农业出版社，教材，参编

    《深度学习主流框架与编程实战》机械工业出版社，教材，参编

    《Python机器学习》机械工业出版社，教材，参编