2003年获得重庆大学计算机软件与理论博士学位

2005年上海交通大学计算机科学与技术博士后出站，同年加入电子科技大学从事教学科研工作。

承担十三五国家科技重大专项子课题、国家自然科学基金、863计划、四川省重点研发计划、国家、教育部（省）重点实验室基金等多项科研课题。

录用和发表学术论文100余篇，其中第一作者或通讯作者录用和发表SCI检索论文近40篇。[1] Jiajing Zhu, Yongguo Liu*, et al. MTMA: A multi-task multi-attribute learning model for predicting adverse drug-drug interaction. Knowledge-Based Systems. (In Revision) (IF: 5.101) [2] Jiajing Zhu, Yongguo Liu*, et al. DGDFS: Dependence guided discriminative feature selection for predicting adverse drug-drug interaction. IEEE Transactions on Knowledge and Data Engineering. (Accepted) (CCF A) (IF: 3.857) [3] Yun Zhang, Yongguo Liu*, et al. NALPA: A node ability based label propagation algorithm for community detection. IEEE Access. (Accepted) (IF: 4.098) [4] Qiaoqin Li, Yongguo Liu, Shangming Yang*. Exploiting linear manifold features with parts-based representation in various scenes. IEEE Access. (Accepted) (IF: 4.097) [5] Jiajing Zhu, Yongguo Liu*, et al. A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks. Information Sciences. 518: 95-112, 2020. (IF: 5.524) [6] Yun Zhang, Yongguo Liu*, et al. WOCDA: A whale optimization based community detection algorithm. Physica A. 539: 122937, 2020. (IF: 2.243) [7] Shangming Yang, Yongguo Liu*, et al. Non-negative matrix factorization with symmetric manifold regularization. Neural Processing Letters. 51(1): 723-748, 2020. (IF: 2.591) [8] Wüntrang Dhondrup, Tawni Tidwell, Xiaobo Wang, Dungkar Tso, Gönpo Dhondrup, Qingfang Luo, Choknyi Wangmo, Tsering Kyi, Yongguo Liu, Xianli Meng, Yi Zhang. Tibetan Medical informatics: An emerging field in Sowa Rigpa pharmacological & clinical research. Journal of Ethnopharmacology. 250: 112481, 2020. (IF: 3.414) [9] 张惠玲, 钟冬灵, 李涓, 刘勇国, 金荣疆*. 中国老年轻度认知障碍患病率的系统评价. 中国循证医学杂志. 20(1): 17-25, 2020. 2019 [1] Yuxi Li*, Xiaobo Liu, Jianguo Zhong, Xili Xiao, Yijie Huang, Yongguo Liu, Chi Zhang, Rongjiang Jin, Tianyu Liu. Theta burst stimulation for upper limb motor dysfunction in patients with stroke: a protocol of systematic review and meta-analysis. Medicine. (Accepted) (IF: 1.870) [2] Yun Zhang, Yongguo Liu*, et al. Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. CIKM 2019. In: Proceedings of ACM International Conference on Information and Knowledge Management (CIKM19), Beijing, 2019, pp. 1011-1020. (CCF B) [3] Qiaoqin Li, Yongguo Liu*, Jiajing Zhu, et al. ANDERATION: A new anti-community detection algorithm and its application to explore incompatibility of traditional Chinese medicine. IEEE Access. 7(1): 113975-113987, 2019. (IF: 4.098) [4] Jiajing Zhu, Yongguo Liu*, et al. IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. Neurocomputing. 338: 207-221, 2019. (IF: 4.072) [5] Liwen Peng, Yongguo Liu*. Attributes weight based initialization clustering centers algorithm for K-modes. Cluster Computing 22(S3): 6171–6179, 2019. (IF: 1.851) [6] Xiaolin Zhu, Yongguo Liu*. HCPT-Growth: An efficient frequent pattern mining algorithm using highly compressed prefix tree. Intelligent Data Analysis. 23(S1): 153-173, 2019. (IF: 0.612) [7] 刘朗, 刘勇国*等. 脑卒中运动功能自动评定研究. 中国康复理论与实践. (已录用) [8] 刘朗, 刘勇国*等. 智能化移动康复管理平台设计与实现. 医学信息学杂志. (已录用) [9] 蒋羽, 刘勇国*等. 国医大师吕仁和治疗肾病综合征的药物网络分析. 中华中医药学刊. (已录用) [10] 姜珊, 李巧勤, 刘勇国*等. 基于多源异构数据融合的跌倒检测综述. 中国老年学杂志. (已录用) [11] 何家欢, 刘勇国*等. 基于BiLSTM-CRF深度学习模型的藏药药理命名实体识别. 医学信息学杂志. (已录用) [12] 陈智, 刘勇国*等. 基于数据挖掘技术的脑卒中康复研究进展. 中国康复医学杂志. 34(2): 229-233, 2019. 2018 [1] Jiajing Zhu, Yongguo Liu*, et al. 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), Torino, 2018, pp. 1799-1802. (CCF B) [2] Xiaolin Zhu, Yongguo Liu*, et al. Mining effective patterns of Chinese medicinal formulae using top-k weighted association rules for the Internet of Medical Things. IEEE Access. 6(1): 57840-57855, 2018. (IF: 3.557) [3] Jiajing Zhu, Yongguo Liu*, et al. A degree-based block model and a local expansion optimization algorithm for anti-community detection in networks. PLoS ONE. 13(4): e0195226, 2018. (IF: 2.766) [4] Lu Yin, Yongguo Liu*. Ensemble biclustering gene expression data based on the spectral clustering. Neural Computing and Applications. 30(8): 2403-2416, 2018. (IF: 4.213) [5] Liwen Peng, Yongguo Liu*. Feature selection and overlapping clustering based multi-label classification model. Mathematical Problems in Engineering. Article ID 2814897, 1-12, 2018. (IF: 1.145) [6] 杜春慧, 刘勇国*等. 基于Grab Cut算法的藏医尿诊图像分割. 2018年北京国际藏医药学术研讨会, 北京, 2018, pp. 238-242. [7] 朱俊林, 刘勇国*等. 基于关联规则挖掘的高龄人群跌倒因素分析. 2018年四川省老年医学学会学术年会, 成都, 2018, pp. 913-918. [8] 王小兰, 肖永华, 任传云, 曹钋, 刘勇国等. 透析患者舌像分布规律与部分心衰危险因素的相关性分析. 中国医药导报. 15(10): 110-113, 2018. 2017 [1] Liwen Peng, Yongguo Liu*. Gravitation theory based model for multi-label classification. International Journal of Computers Communications & Control. 12(5): 689-703, 2017. (IF: 1.374) [2] Jiajing Zhu, Yongguo Liu*, et al. Exploring anti-community structure in networks with application to incompatibility of traditional Chinese medicine. Physica A. 486: 31-43, 2017. (IF: 2.243) [3] Xiaolin Zhu, Yongguo Liu*. Formulae mining for diabetic nephropathy with treatment effect in traditional Chinese medicine. In: Proceedings of 14th International Computer Conference on Wavelet Active Media Technology and Information Processing, Chengdu, 2017, pp. 243-246. [4] Liwen Peng, Yongguo Liu*, et al. OCBMLC: An overlapping clustering based multi-label classification algorithm. In: Proceedings of IEEE International Conference on Cloud Computing and Big Data Analysis, Chengdu, 2017, pp. 113-116. [5] 乔秋婷, 刘勇国*等. 基于移动智能计算的高血压管理系统. 医学信息学杂志. 38(10):31-35, 2017. [6] 于亚运, 刘勇国*等. 基于指纹相似度的药物-靶点相互作用预测. 中国中药杂志. 42(18): 3578-3583, 2017. [7] 朱彤昆, 刘勇国*等. 基于智能移动计算的中老年人跌倒监控系统的研究. 2017年老年医学四川论坛, 成都, 2017, pp. 5-11. 2016 [1] Lu Yin, Yongguo Liu*. Biclustering of gene expression dada with multi-objective cuckoo search. Oxidation Communications. 39(1A): 947-958, 2016. (IF: 0.489) [2] Lu Yin, Yongguo Liu*. Biclustering analysis and comparison for gene expression data. Revista de la Facultad de Ingenieria. 31(12): 183-198, 2016. [3] Liwen Peng, Yongguo Liu*. RJMIM: A new feature selection method based on joint mutual information. Revista de la Facultad de Ingenieria. 31(4): 59-69, 2016. [4] Lu Yin, Yongguo Liu*. Ensemble cuckoo search biclustering of the gene expression data. In: Proceedings of IEEE International Conference on Cognitive Informatics & Cognitive Computing, Stanford University, 2016, pp. 419-422. [5] 乔秋婷, 刘勇国*等. 面向老年人的高血压管理系统的研究. 2016年四川省老年医学学会学术年会, 泸州, 2016, pp. 13-16.