CHINA EDUCATION THINK TANK中
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名称
刘勇国
职位
院系
信息与软件工程学院（示范性软件学院）
研究领域

个人简介

刘勇国，教授，博士生导师，医药知识工程与智能软件实验室负责人。担任中国民族医药学会大数据与人工智能分会副会长，世界中医药学会联合会中医经典数据研究专委会副主任委员，世界中医药学会联合会中药系统科学与工程专委会副秘书长兼常务理事，中国中医药信息学会人工智能分会常务理事，中国老年学和老年医学学会智慧医养分会常务理事，中国老年医学学会智慧医疗技术与管理分会常务委员，中国计算机学会数字医疗专委会筹备组...

教育经历

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科研项目

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论文／期刊

  1. Jiajing Zhu, Yongguo Liu*, Yun Zhang, Zhi Chen, Kun She, Rongsheng Tong. DAEM: Deep attribute embedding based multi-task learning for predicting adverse drug-drug interaction. Expert Systems with Applications. 215, Article 119312, 2023. 2023
  2. Zhi Chen, Yongguo Liu*, Yun Zhang, Qiaoqin Li. Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis. Medical Image Analysis. 84, Article 102698, 2023. 2023
  3. Jiajing Zhu, Yongguo Liu*, Yun Zhang, Zhi Chen, Xindong Wu. Multi-attribute discriminative representation learning for prediction of adverse drug-drug interaction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12): 10129-10144, 2022. 2022
  4. Jiajing Zhu, Yongguo Liu*, Yun Zhang, Zhi Chen, Xindong Wu. Adaptive regularized multi-attribute fuzzy distance learning for predicting adverse drug-drug interaction. IEEE Transactions on Fuzzy Systems. 30(12): 5297-5311, 2022. 2022
  5. Jiajing Zhu, Yongguo Liu*, Chuanbiao Wen, Xindong Wu. DGDFS: Dependence guided discriminative feature selection for predicting adverse drug-drug interaction. IEEE Transactions on Knowledge and Data Engineering. 34(1): 271-285, 2022. 2022
  6. Zhi Chen, Yongguo Liu*, Yun Zhang, Rongjiang Jin, Jing Tao, Lidian Chen. Low-rank sparse feature selection with incomplete labels for Alzheimer’s disease progression prediction. Computers in Biology and Medicine. 147: 105705, 1-11, 2022. 2022
  7. Yun Zhang, Yongguo Liu*, Jiajing Zhu, Xindong Wu. FSPRM: A feature subsequence based probability representation model for Chinese word embedding. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29: 1702-1716, 2021. 2021
  8. Jiajing Zhu, Yongguo Liu*, Yun Zhang, Dongxiao Li. An attribute supervised probabilistic dependent matrix tri-factorization model for the prediction of adverse drug-drug interaction. IEEE Journal of Biomedical and Health Informatics. 25(7): 2820-2832, 2021. 2021
  9. Yun Zhang, Yongguo Liu*, Jiajing Zhu, Zhi Chen, Dongxiao Li, Yonghua Xiao, Xiaofeng Liu, Shuangqing Zhai. A core drug discovery framework from large scale literature for cold pathogenic disease treatment in traditional Chinese medicine. Journal of Healthcare Engineering. 2021, Article 9930543, 2021. 2021
  10. Qiaoqin Li, Yongguo Liu*, Jiajing Zhu, Yun Zhang, Zhi Chen, Lang Liu, Shangming Yang, Juan Li, Rongjiang Jin, Jing Tao, Lidian Chen, Guanyi Zhu, Bin Zhu. Upper-limb motion recognition based on hybrid feature selection: algorithm development and validation. JMIR mHealth and uHealth. 9(9): e24402, 2021. 2021
  11. Zhi Chen, Yongguo Liu*, Jiajing Zhu, Yun Zhang, Rongjiang Jin, Xia He, Jing Tao, Lidian Chen. Time-frequency deep metric learning for multivariate time series classification. Neurocomputing. 462: 221-237, 2021. 2021
  12. Yun Zhang, Yongguo Liu*, Jiajing Zhu, Shuangqing Zhai, Rongjiang Jin, Chuanbiao Wen. Core drug discovery for chronic glomerulonephritis in traditional Chinese medicine from literature by semantic analysis and community detection. Computational and Mathematical Methods in Medicine. 2020, Article 1862168, 2020. 2020
  13. Yun Zhang, Yongguo Liu*, Rongjiang Jin, Jing Tao, Lidian Chen, Xindong Wu. GLLPA: A graph layout based label propagation algorithm for community detection. Knowledge-Based Systems. 206, Article 106363, 2020. 2020
  14. Yun Zhang, Yongguo Liu*, Qiaoqin Li, Rongjiang Jin, Chuanbiao Wen. LILPA: A label importance based label propagation algorithm for community detection with application in traditional Chinese medicine. Neurocomputing. 413(6): 107-133, 2020. 2020
  15. Jiajing Zhu, Yongguo Liu*, Chuanbiao Wen. MTMA: A multi-task multi-attribute learning model for predicting adverse drug-drug interaction. Knowledge-Based Systems. 199, Article 105978, 2020. 2020
  16. Shangming Yang, Yongguo Liu*, Qiaoqin Li, Wen Yang, Yi Zhang, Chuanbiao Wen. Non-negative matrix factorization with symmetric manifold regularization. Neural Processing Letters. 51(1): 723-748, 2020. 2020
  17. Jiajing Zhu, Yongguo Liu*, Hao Wu, Zhi Chen, Yun Zhang, Shangming Yang, Changhong Yang, Wen Yang, Xindong Wu. A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks. Information Sciences. 518: 95-112, 2020. 2020
  18. Yun Zhang, Yongguo Liu*, Jieting Li, Jiajing Zhu, Changhong Yang, Wen Yang, Chuanbiao Wen. WOCDA: A whale optimization based community detection algorithm. Physica A. 539: 122937, 2020. 2020
  19. Jiajing Zhu, Yongguo Liu*, Yun Zhang, Zhi Chen, Qiaoqin Li, Shangming Yang, Xiaofeng Liu, Shuangqing Zhai, Yi Zhang, Chuanbiao Wen. IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. Neurocomputing. 338: 207-221, 2019. 2019
  20. Jiajing Zhu, Yongguo Liu*, Changhong Yang, Wen Yang*, Zhi Chen, Yun Zhang, Xindong Wu. A degree-based block model and a local expansion optimization algorithm for anti-community detection in networks. PLoS ONE. 13(4): e0195226, 2018. 2018
  21. Jiajing Zhu, Yongguo Liu*, Yun Zhang, Xiaofeng Liu, Yonghua Xiao, Shidong Wang, Xindong Wu. Exploring anti-community structure in networks with application to incompatibility of traditional Chinese medicine. Physica A. 486: 31-43, 2017. 2017
  22. Yun Zhang, Yongguo Liu*, Dongxiao Li, Shuangqing Zhai. Exploring Chinese word embedding with similar context and reinforcement learning. Neural Computing & Applications. (Accepted)
  23. Shigang Yang, Yongguo Liu*, Yun Zhang, Jiajing Zhu. A word-concept heterogeneous graph convolutional network for short text classification. Neural Processing Letters. (Accepted)
  24. Yun Zhang, Yongguo Liu*, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai. Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. In: Proceedings of ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, 2019, pp. 1011-1020.
  25. Jiajing Zhu, Yongguo Liu*, Shangming Yang, Shuangqing Zhai, Yi Zhang, Chuanbiao Wen. A supervised learning framework for prediction of incompatible herb pair in traditional Chinese medicine. In: Proceedings of ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, 2018, pp. 1799-1802.