实验室负责人

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，重庆市研究生教育教学奖(优秀成果奖)获得者，第四届川渝科技学术大会优秀论文(自然科学类)三等奖，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；重庆市专业学位硕士研究生教学案例库负责人；第四届重庆市高等教育研究与教学改革优秀论文二等奖；重庆理工大学“教学名师”培养对象；重庆理工大学士继英才计划“领军人才”。西北工业大学博士，重庆大学博士后，美国The University of Alabama博士后。

学术服务：IEEE、ACM Member；中国计算机学会CCF杰出会员，中国新闻史学会智能与计算传播学专委会理事，中国人工智能学会CAAI社会计算与社会智能专委会委员，中国中文信息学会社会媒体处理专委会委员，中国自动化学会CAA计算社会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，中国指挥与控制学会网络科学与工程专委会高级会员，中国通信学会CIC高级会员。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)青年编委及“网络科学与数据挖掘”专刊主编,教育部学位中心博士/硕士学位论文评议专家;担任《IEEE/ACM Transactions on Networking》等国际国内重要期刊审稿人；国际学术期刊《Applied Sciences-Basel》(SCI, Q2)客座编辑；国际学术期刊《International Journal of Modern Physics C》专栏Special Issue“Complex Systems and Complex Networks”主编；Elsevier期刊Journal of Network and Computer Applications专刊“Complex networks for Smart environments management”客座编辑；《Journal of Social Computing》青年编委；《计算机科学与探索》青年编委。

学术概况：主持/主研国家自然科学基金、国家社会科学基金、国家统计局科技项目、教育部青年基金、重庆市自然科学基金面上项目、重庆市留学回国人员创新计划项目、重庆市博士后特别资助项目、重庆市教委重点科技项目等国家级与省部级项目50余项。在《IEEE Transactions on Computational Social Systems》《Nonlinear Dynamics》《中国科学:信息科学》《计算机学报》等国内外重要刊物发表学术论文110余篇(SCI、EI、CSCD等收录)；获授权知识产权100余项(国家发明专利46项、实用新型专利13项、计算机软件著作权60余项)；出版学术著作4部(国家级出版社)。

联系方式：

E-mail: lxy3103@163.com

承担/主研的主要项目(部分)

[1]国家自然科学基金重大项目:空间信息网络基础理论与关键技术。

[2]国家社会科学基金:网络安全文化传播动力学模型与传播策略研究。

[3]国家统计局:社交网络突发公共事件时空数据信息可视化及预测技术研究。

[4]国家教育部:突发公共事件的非线性病毒式传播模型及其网络舆情应对策略研究。

[5]重庆市教委科技重点项目:大规模开放式社交网络用户行为分析关键技术研究。

[6]重庆市科委/技术创新与应用示范:社交突发公共事件预警信息发布系统研发与应用。

[7]重庆市巴南区科学技术局科技人才专项项目:新型冠状病毒疫情信息传播与预测技术研究。

[8]重庆市教委科学技术研究青年项目:社交面向多维属性的在线社交网络信息传播模型研究。

[9]重庆市教委科学技术研究项目:智能空间中无线传感网络结点精确定位与路径规划技术研究。

[10]重庆市教委人文社科项目:基于大规模开放式社交网络的中华优秀传统文化影响力传播模型与传播策略研究。

[11]重庆市留学回国人员创业创新项目:社交网络用户行为分析关键技术研究。

代表性成果

1.学术论文(部分)

[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 ra nk 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)

2.国家发明专利(部分)

[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

3.著作

[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

[5] 刘小洋 著. 复杂网络建模与行为分析[M].国防工业出版社，2024年6月. ISBN：9787118133875