刘小洋，教授，博士/博士后，硕士生导师。西北工业大学博士，先后在重庆大学、美国The University of Alabama从事博士后研究工作，现为重庆理工大学计算机科学与工程学院教师。中国计算机学会CCF高级会员、IEEE与CAAI会员；《计算机应用研究》编委、《重庆理工大学学报》(自然科学版)青年编委。担任《IEEE/ACM Transactions on Networking》、《IEEE Transactions on Cybernetics》、《Computer Networks》、《计算机学报》等国内外重要期刊审稿专家。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、教育部等国家级与省部级项目30余项。在《Expert Systems with Applications》、《IEEE Transactions on Computational Social Systems》、《Nonlinear Dynamics》、《Physica A》、《Applied Intelligence》、《中国科学: 信息科学》、《计算机学报》、《电子学报》等国内外重要期刊/会议发表学术论文100余篇(SCI等收录)；获授权国家发明专利33项；出版国家级出版社学术著作4部。
承担的主要项目：
[1] 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, 主持。
[2] 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, 主研。
[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,主持。
[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, 主持。
[5] 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, 主持。
[6] 重庆市自然科学基金面上项目：面向社交网络信息的用户行为分析关键技术研究, 主持。
[7] 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, 主持。
[8] 重庆市科委/技术创新与应用示范：突发公共事件预警信息发布系统研发与应用, 主持。
[9] 重庆市教委科学技术研究青年项目：面向多维属性的在线社交网络信息传播模型研究, 主持。
[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, 主持。
[11] 重庆市巴南区科学技术局科技人才专项: 新型冠状病毒疫情信息传播与预测技术研究, 主持。
代表性成果：
[1] Xiaoyang Liu, Xiang Li, Giacomo Fiumara, Pasquale De Meo. Link prediction approach combined graph neural network with capsule network[J]. Expert Systems with Applications, 2022, doi: https://doi.org/10.1016/j.eswa.2022.118737. (SCI, JCR1区)
[2] 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. (https://doi.org/10.1007/s10489-020-02040-4) (SCI, JCR1区)
[3] 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, JCR1区)
[4] Xiaoyang Liu, Ting Tang, Nan Ding. Social Network Sentiment Classification Method Combined Chinese Text Syntax with Graph Convolutional Neural Network[J]. Egyptian Informatics Journal,2022,23(1):1-12. (SCI, JCR1区)
[5] Xiaoyang Liu, Jiamiao Liu. DGA Botnet Detection Method Based on Capsule Network and k-means Routing [J]. Neural Computing and Applications, 2022,34(11):8803-8821. (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, JCR1区)
[7] Xiaoyang Liu*, Daobing He, Yinfeng 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, JCR1区)
[8] 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, JCR1区)
[9] 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, JCR2区)
[10] Xiaoyang Liu, Zhengyang Zhao, Yihao Zhang, Chao Liu, Fan Yang. Social Network Rumor Detection Method Combining Dual-Attention Mechanism with Graph Convolutional Network [J]. IEEE Transactions on Computational Social Systems, 2022, doi: 10.1109/TCSS.2022.3184745. (SCI, JCR2区)
[11] Xiaoyang Liu, Jiamiao Liu. Malicious traffic detection combined deep neural network with hierarchical attention mechanism [J]. Scientific Reports,2021,11(1):1-15. (SCI, JCR 1区)
[12] 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. (https://doi.org/10.1093/comjnl/bxaa038) (SCI, JCR 2区)
[13] Xiaoyang Liu, Shanghong Dai, Giacomo Fiumara, Pasquale De Meo. Target-specific sentiment analysis method combining word-masking data enhancement and adversarial learning[J]. The Computer Journal,2022. (https://doi.org/10.1093/comjnl/bxac066) (SCI, JCR2区)
[14] Xiaoyang Liu, Shu Ye, Giacomo Fiumara, Pasquale De Meo. Influential Spreaders Identification in Complex Networks with TOPSIS and K-shell Decomposition [J]. IEEE Transactions on Computational Social Systems, 2022:1-15. (SCI, JCR 2区)
[15] Xiaoyang Liu, Mengyao Zhang, Giacomo Fiumara, Pasquale De Meo.Complex Network Hierarchical Sampling Method Combining Node Neighborhood Clustering Coefficient with Random Walk[J]. New Generation Computing, 2022,7:1-43. (SCI, JCR 2区) in ComputingTechnology,2015,5(8):816-824.
[3] Liu xiaoyang,Li yong,Li Ruike.The Analysis ofRadar Target Echo Characteristics Based on Radar Cross Section,Journal ofComputational Information Systems,2012,8(18):7669-7676.
[4] Xiaoyang Liu.Simulation and analysisof an improved LEACH algorithm in wireless sensor network.Fifth InternationalConference on Digital Image Processing,2013,4:27-29.
[5] Xiaoyang Liu,Chao Liu,WanpingLiu,Xiaoping Zeng.High Altitude Platform Station Network and Channel ModelingPerformance Analysis, Mathematics and Computer Science 2016,1(1): 10-16.
[6] Xiaoyang Liu,Wanping Liu,ChaoLiu,Xiaoping Zeng.Nonlinear Time-Varying Turbulence Signal Processing andSimulationUnderCurvilinearCoordinate System, Communications, 2016, 4(1): 1-7.
[7] Liu xiaoyang,Li yong,Cheng yufeng.The Analysisof the Side-lobe Clutter in the Pulse Doppler Radar,Journal of ComputationalInformation Systems，2012,8(4):1671-1677.
[8]XiaoyangLiu, Wanping Liu, Chao Liu and Xiaoping Zeng.The Analysis of BER and SNR Basedon High Altitude Platform Station in Wireless Communication Network,International Conference on Communication and Electronic InformationEngineering,2016,10,15-17.
[9] XiaoyangLiu, Chao Liu,Wanping Liuand,Yihao Zhang,Xiaoping Zeng. HAPS WirelessCommunication Network Channel Modeling and Simulation.2nd Annual 2016International Workshop on Wireless Communication and Network ,2016,10,23-25.
[10] Xiaoyang Liu, Chao Liu,Wanping Liuand,Yihao Zhang,XiaopingZeng.The Analysis of HAPS Link Budget and Communication Performance Based onNear Space. The 11th IEEE Conference on Industrial Electronics andApplications,2016,6,5-7.
[11]刘小洋,曾孝平.微下击暴流低空风切变信号处理与控制路径算法研究，电子科技大学学报,2016,45(3):327-331.
[12]刘小洋.非均匀环境下传感器网络节点精确定位算法.计算机科学与探索,2015,9(4):475-481.
[13]刘小洋.机载雷达微下击暴流风切变信号处理与仿真,科学技术与工程,2015,15(7):221-224.
[14]刘小洋,黄贤英.机载气象雷达风切变下飞机着陆性能分析,计算机仿真,2014,(7):45-48.
[15]刘小洋,李勇,李瑞克.机载雷达杂波抑制优化与性能分析,计算机仿真,2013,(4):108-111.
[16]刘小洋,李勇,程宇峰.机载脉冲多普勒雷达湍流信号的仿真分析，系统工程与电子技术,2012,(5):920-924.
[17] Xiaoyang Liu,etc.The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Complex Network.Discrete Dynamics in Nature and Society,2017,5:1-7.
[18] Xiaoyang Liu, etc.Online Social Network Emergency Public Event Information Propagation and Nonlinear Mathematical Modeling.Complex,2017,6:1-8.
[19] Xiaoyang Liu, etc.Wireless Channel Modeling and Performance Analysis Based on Markov Chain.The 29th Chinese Control and Decision Conference, 2017,5:15-21.
[20] Liu Xiaoyang,etc. Research on Wireless Sensor Network Node Localization Algorithm.2017 IEEE 2nd International Conference on Frontiers of Sensor Technologies, 2017:170-173.
B.国家授权专利
[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, 已授权,专利号:201811241621.3
[2] 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综合分析方法, 已授权,专利号:201811241622.8
[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, 已授权,专利号: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, 已授权,专利号: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, 已授权,专利号: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, 已授权,专利号: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, 已授权,专利号: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,已授权,专利号:201910086187.4
[9] 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分析方法,专利号:201910086971.5
[10] 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
播预测系统,已授权,专利号:201910086959.4
[11] 国家发明专利：刘小洋,等. 一种基于连续马尔科夫的双层网络舆情信息传播预测方法,专利号: 201910452142.2
[12] 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，已授权,专利号: 201910462524.5
C.学术专著(国家级出版社)
[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, 2020.11. 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
电子邮件：lxy3103@cqut.edu.cn
