刘小洋，重庆理工大学 计算机科学与工程学院-k8凯发旗舰

刘小洋，教授，博士/博士后，硕士生导师, ccf杰出会员 。国家级教学成果奖(二等奖)获得者；重庆市研究生教育“课程思政”教学名师；重庆市巴南区“菁英计划”高层次创新人才；重庆市研究生联合培养基地负责人；重庆市专业学位研究生教学案例库负责人。

学术服务：ieee 、acm member；中国人工智能学会caai社会计算与社会智能专委会会员，中国工业与应用数学学会csiam复杂网络与复杂系统专委会会员；中国中文信息学会会员，中国通信学会cic高级会员，中国指挥与控制学会网络科学与工程专委会会员；重庆市自然科学基金通讯评审专家，《重庆理工大学学报》(自然科学版)青年编委,  教育部学位中心博士/硕士学位论文评议专家；国际学术期刊《applied sciences-basel》(sci, q2) 客座编辑。

实验室网址: https://nsdm.cqut.edu.cn

担任如下国际国内重要期刊审稿人：

[1]《ieee/acm transactions on networking》

[2]《computer networks》

[3]《ieee transactions on cybernetics》

[4]《ieee transactions on industrial informatics》

[5]《journal of computer science and technology》

[6]《journal of ambient intelligence and humanized computing》

[7]《international journal of systems science》

[8] 《caai transactions on intelligence technology》

[9]《journal of complex networks》

[10]《knowledge-based systems》

[11] 《chaos》

[12]《计算机学报》

[13]《中文信息学报》

[14]《计算机科学》

[15]《计算机科学与探索》

学术概况：主持/主研国家自然科学基金、国家社会科学基金、教育部青年基金、重庆市科技局等国家级与省部级项目30余项。获得授权国家发明专利35项、计算机软件著作权50余项；出版学术专著4部。在《ieee transactions on computational social systems》、《the computer journal》、《journal of computational science》、《physica a》、《中国科学》、《计算机学报》、《电子学报》等国内外重要刊物发表学术论文100余篇（sci、ei、cscd等收录)。

2010.03-2013.06, 西北工业大学, 博士.

2014.12-2017.09, 重庆大学, 博士后.

2017.09-2018.09, the university of alabama, postdoctoral fellow, usa.

2014.12-2015.12, 重庆市教育委员会, 科技处.

2013.07- 至今, 重庆理工大学, 计算机学院, 教授, 硕士生导师.

 复杂网络与社交网络分析、信息传播、数据挖掘与大数据分析、人工智能、机器学习、网络安全等。

e-mail: lxy3103@163.com

[1] 刘小洋*,何道兵,刘超,张宜浩.基于时变阻尼运动的社交网络信息传播动力学分析[j].中国科学:信息科学, 2021. (卓越期刊, ccf a类)

[2] 刘小洋*，何道兵. 在线社交网络的竞争性非线性动力学信息传播模型研究[j].计算机学报,2020,43(10):1842-1861. (卓越期刊, ccf a类)

[3] 刘小洋*,刘加苗,刘超,张宜浩. 融合字符级滑动窗口和深度残差网络的僵尸网络dga域名检测方法[j].电子学报,2021. (卓越期刊, ccf a类)

[4] xiaoyang liu, nan ding*, chao liu, yihao zhang, ting zhang. novel social network community discovery method combined local distance with node rank optimization function [j]. applied intelligence,2021,1:1-18. (sci, jcr 1区) 

[5] xiaoyang liu*, daobing he, chao liu. modeling information dissemination and evolution in time-varying online social network based on thermal diffusion motion [j]. physica a: statistical mechanics and its applications,2018,510: 456-476. (sci, jcr 1区)

[6] daobing he, xiaoyang liu*. novel competitive information propagation macro mathematical model in online social network [j]. journal of computational science, 2020,41:1-21. (sci, jcr 1区) 

[7] yihao zhang, xiaoyang liu. learning attention embeddings based on memory networks for collaborative recommendation[j]. expert systems with applications,2021,183:183-192. (sci, jcr 1区)

[8] xiaoyang liu*, daobing he, linfeng yang, chao liu. a novel negative feedback information dissemination model based on online social network [j]. physica a: statistical mechanics and its applications, 2019,513: 371-389. (sci, jcr 1区)

[9] xiaoyang liu, jiamiao liu. malicious traffic detection combined deep neural network with hierarchical attention mechanism [j]. scientific reports (doi: https://doi.org/10.1038/s41598-021-91805-z)  (nature 子刊, sci, jcr 1区)

[10] xiaoyang liu, chao liu, xiaoping zeng. online social network emergency public event information propagation and nonlinear mathematical modeling[j]. complexity, 2017,6:1-8. (sci, jcr 1区)

[11] xiaoyang liu*, daobing he. information propagation and public opinion evolution model based on artificial neural network in online social network [j]. the computer journal, oxford university press,2020,63(11):1689-1703. (sci, jcr 2区)

[12] xiaoyang liu*, jiamiao liu. novel non-linear dynamics p2p network worm propagation and immune model[j]. iet information security, 2019,14(2):175-184. (sci, jcr 2区)

[13] xiaoyang liu*, daobing he. nonlinear dynamic information propagation mathematic modeling and analysis based on microblog social network[j]. social network analysis and mining, 2020,10(1):87-98. (esci)

[14] chao liu, xiaoyang liu, hongyu yang, guangjian zhang, qiong cao, junjian huang. new stability results for impulsive neural networks with time delays[j]. neural computing and applications, 2018,1-12. (sci, jcr 1区)

[15] xiaoyang liu*, daobing he, chao liu. information diffusion nonlinear dynamics modeling and evolution analysis in online social network based on emergency events[j]. ieee transactions on computational social systems,2019,6(1):8-19. (sci)

[16] chao liu, xiaoyang liu, zheng yang, hongyu yang, junjian huang. new stability results of generalized impulsive functional differential equations[j]. science china - information sciences (letter), 2020,2:1-3. (sci, jcr 1区)

[17] xiaoyang liu*, ting tang, daobing he. double-layer network negative public opinion information propagation modeling based on continuous-time markov chain [j]. the computer journal, oxford university press,2020,5:1-11. (sci, jcr 2区) 

[18] chao liu, dihua sun, zheng yang, xiaoyang liu, hongyu yang, junjian huang. stabilization of switched neural networks with time-varying delay via bumpless transfer control[j]. asian journal of control,2019,3:1-13. (sci, jcr 2区) 

[19] chao liu, zheng yang, xiaoyang liu, xianying huang. stability of delayed switched systems with state-dependent switching[j]. ieee/caa journal of automatica sinica, 2019,6(4):1-10. (sci, jcr 1区)

[20] guangfeng liu, xianying huang, xiaoyang liu, anzhi yang. a novel aspect-based sentiment analysis network model based on multilingual hierarchy in online social network[j]. the computer journal, 2019,3:1-15. (sci, jcr 2区)

[21] chao liu, dihua sun, xiaoyang liu. stability of variable-time impulsive systems with delays via generalized razumikhin technique and application to impulsive neural networks[j]. neural processing letters, 2018,47(2):641-659. sci, jcr 1区)

[22] wanping liu, chao liu, xiaoyang liu, yihao zhang, zuxue wei. modeling the propagation of mobile malware on complex networks[j]. communications in nonlinear science and numerical simulation, 2016, 37:249-264. (sci, jcr 1区)

[23] chao liu, wanping liu, xiaoyang liu, chuandong li, qi han. stability of switched neural networks with time delay. nonlinear dynamics, 2015, 79(3):2145 -2154. sci, jcr 1区)

[24] wanping liu, chao liu, xiaoyang liu, shaoguo cui, xianying huang. modeling the spread of malware with the influence of heterogeneous immunization[j]. applied mathematical modelling, 2016,40(4): 3141–3152. (sci, jcr 1区)

[25] chengyun song, weiyi liu, zhining liu, xiaoyang liu. user abnormal behavior recommendation via multilayer network[j]. plos one, 2019,14(12):1-17. (sci, jcr 1区)

[26] xiaoyang liu, chao liu. information diffusion and opinion leader mathematical modeling based on microblog[j]. ieee access, 2018,6(1):34736-34745. (sci, jcr 1区)

[27] xiaoyang liu, xiaoping zeng, chao liu, wanping liu, and yihao zhang. the channel estimation and modeling in high altitude platform station wireless communication complex network[j]. discrete dynamics in nature and society, 2017,5:1-7. (sci, jcr 3区)

[28] chao liu, zhengyang, xiaoyang liu, chuandong li, guangjian zhang.stability of neural networks with delay and variable-time impulses [j]. neurocomputing, 2016, 171(c):1644-1654. (sci, jcr 1区)

[29] xiaoyang liu, chao liu. wireless sensor network dynamic mathematics modeling and node localization[j]. wireless communications and mobile computing, 2018,15-22. (sci, jcr 2区)

[30] xiaoyang liu*, songyang wu, chao liu, yihao zhang. social network node influence maximization method combined degree discount and local node optimization [j]. social network analysis and mining, 2021,11(1):1-18. (esci)

[1] 国家发明专利：刘小洋,等. 基于人工神经网络的在线社交网络信息传播与舆情演化正向构建方法和系统,专利号:zl201811241621.3

[2] 国家发明专利：刘小洋,等. 一种非线性动力学p2p网络蠕虫传播预测方法，专利号: zl 201910462514.1

[3] 国家发明专利：刘小洋,等. 用于在线社交网络数据挖掘模型数值机理有效性验证方法,专利号: zl 201811352786.8

[4] 国家发明专利：刘小洋,等. 一种在线社交网络数据竞争性信息提取传播工作方法,专利号: zl 201811353286.6

[5] 国家发明专利：刘小洋,等. 基于在线社交网络数据的竞争性信息宏观传播模型提取工作方法,专利号: zl 2018113532797.6

[6] 国家发明专利：刘小洋,等. 针对在线社交网络数据提取后的稳定性判别方法,专利号: zl 2018113532988.2

[7] 国家发明专利：刘小洋,等. 基于在线社交网络数据的竞争性信息传播概率模型挖掘构建方法,专利号: zl 201811353308.9

[8] 国家发明专利：刘小洋,等. 一种基于时变阻尼运动的在线社交网络信息传播构建方法,专利号: zl 201910086187.4

[9] 国家发明专利：刘小洋,等. 一种非线性动力学p2p网络蠕虫免疫预测方法，专利号: zl 201910462524.5

[1] 刘小洋,等. 在线社交网络突发事件信息传播与舆情分析软件; 登记号:2018sr811384

[2] 刘小洋,等. 一种具有负反馈能力的社交网络信息传播分析系统; 登记号: 2019sr0061184

[3] 刘小洋,等. 基于热扩散运动的社交网络信息传播分析系统; 登记号: 2019sr0067176

[4] 刘小洋,等. 社交网络论坛舆情演化系统; 登记号: 2019sr0067172

[5] 刘小洋,等. 基于无标度网络特性的在线社交网络竞争性信息传播系统; 登记号: 2019sr0214307

[6] 刘小洋,等. 基于小世界网络模型的在线社交网络信息传播分析系统; 登记号: 2019sr0214301

[7] 刘小洋,等. 一种在线社交网络节点中心度计算系统; 登记号: 2019sr0214290

[8] 刘小洋,等. 在线社交网络非线性动力学的竞争性信息传播系统; 登记号: 2019sr0214296

[9] 刘小洋,等. 一种在线社交网络节点权重分析系统; 登记号: 2019sr0318756

[10]刘小洋,等.一种社交网络突发公共事件案例分析系统; 登记号: 2019sr0827178

[11] 刘小洋,等. 社交网络的突发事件应急协调决策信息处理系统; 登记号: 2019sr0827436

[12] 刘小洋,等. 基于web的社交网络突发公共事件信息发布系统; 登记号: 2019sr0827419

[13] 刘小洋,等. 新型冠状病毒疫情信息传播分析系统; 登记号: 2021sr1158144

[14] 刘小洋,等. 疫情信息数据可视化分析系统; 登记号: 2021sr1158145

[1] 刘小洋 著. 在线社交网络信息传播建模与舆情演化分析. 科学出版社, 2020.3.  isbn: 978-7-03-064623-1

[2] 刘小洋 著. 社交网络竞争性信息传播与用户行为分析. 电子工业出版社, 2020.8. isbn: 978-7-121-39390-7

[3] 刘小洋 著.社交网络分析. 电子工业出版社, 2021.5. isbn: 978-7-121-41064-2

[4] 刘小洋 著.网络科学与计算.电子工业出版社, 2022.9. isbn: 978-7-121-44191-2