CINS 发表作品

[1] Zheng K , Liu Y , Wang Y , et al. k-core percolation on interdependent and interconnected multiplex networks[J]. 2021.

[1] Yuan Zhong, Hongyu Yang, Yanci Zhang, Ping Li. Online random forests regression with memories[J]. Knowledge-Based Systems, 2020:201-202.

[2] Chen Y , Dai Y , Han X , et al. Dig users’ intentions via attention flow network for personalized recommendation[J]. Information Sciences, 2021, 547:1122-1135.

[3]钟原、刘小溶、王杰、陈雁、张泰. 基于NER的石油非结构化信息抽取研究[J]. 西南石油大学学报(自然科学版), 2020

[4]钟原、张泰、李平、杨绪华.随机森林的融合模型在压井方法分类中的研究

[5] Junyi Qu,Ming Tang,Ying Liu,Shuguang Guan. Identifying influential spreaders in reversible process[J]. Chaos Solitons & Fractals, 2020, 140:110197.

[6] Jin Z , Yang W B , Wx B , et al. GSSA: Pay attention to graph feature importance for GCN via statistical self-attention[J]. Neurocomputing, 2020, 417:458-470.

[1] Min Wen, Ping Li, Lingfei Zhang, Yan Chen. Stock Market Trend Prediction Using High-order Information of Time Series[J]. IEEE Access, 2019:1-1.

[2] Zhen Dai, Ping Li , Yan Chen, Kai Zhang, Jie Zhang. Influential node ranking via randomized spanning trees[J].  Physica A: Statistical Mechanics and its Applications, 2019.

[3] Tingting Zhu, Xinyu Peng, Ping Li, Kai Zhang, Yan Chen. Augmented label propagation for seed set expansion[J].  Knowledge-Based Systems, 2019, 179:129-135.

[4] Yan Chen, Jie Wang, Ping Li, Peilun Guo. Single document keyword extraction via quantifying higher-order structural features of word co-occurrence graph[J].Computer Speech & Language, 2019.

[5] 尹红, 陈雁, 李平. EntropyRank:基于主题熵的关键短语提取算法[J].中文信息学报, 2019, 33(11).

[1] Tingting Zhu, Ping Li, Kaiqi Chen, Yan Chen, Lanlan Yu. Hyper-network based Change Point Detection in Dynamic Networks.  KDD workshop on MINING AND LEARNING FROM TIME SERIES

[1] Ping Li, Kaiqi Chen, Yi Ge, Kai Zhang, Michael Small. Bipartite centrality diffusion: Mining higher-order network structures via motif-vertex interactions[J]. Europhysics Letters, 2017, 120(2):28003.

[2] 胡浩, 陈凯琪, 李平. 基于汉字固有属性的中文字向量方法研究[J]. 中文信息学报, 2017, 31(003):32-40.

[1] 孙天晓, 奉书薇, 任玉兰, 李平, 范石林. 基于复杂网络社团结构划分的古代治疗面瘫腧穴配伍规律研究[J]. 针刺研究, 2016, 41(003):265-269.

[2] Hu Dong, Sun Xian, Li Ping, Zhang Jie. Factors that affect centrality controllability of scale-free networks[J]. Chinese Physics Letters 2016.32(12).

[3] Chen Yan, Zhao Pei, Li Ping, Zhang Kai, Zhang Jie. Finding communities by their centers[J]. Scientific Reports, 2016, 6(1):24017.

[4] Ting Liu, Ping Li, Chen Yan. Community Size Effects on EpidemicSpreading in Multiplex Social Networks[J]. PLoS ONE 2016.11(3).

[5] Ping Li, Xian Sun, Kai Zhang, Jie Zhang, Jurgen Kurth. Role of Structural Holes in Containing Spreading Processes[J]. Physical Review E, 2016, 93(3):032312.

[6] Ying Liu, Ming Tang, Tao Zhou, Younghae Do. Identify influential spreaders in complex networks, the role of neighborhood[J]. Physica A: Statistical Mechanics and its Applications, 2016, 452:289-298.

[7] 刘影, 王伟, 尚明生, 唐明. 复杂网络上疫情与舆情的传播及其基于免疫的控制策略[J]. 复杂系统与复杂性科学, 2016, 13(001):74-83.

[1] Fan shiLin, Chen yan, Li Ping. Social boundary of any two nodes in a social network. CIS’2015 2015.

[2] Hu Hao, Chen yan, Li Ping. Biterm-based Multilayer Perceptron Network for Tagging Short Text. CIS‘2015’ 2015.7.15.

[3] Fan shilin, Liu Ting, Li Ping, Chen yan. Population Behavior Analysis of Chinese University Students via Digital Campus Cards[C]. ICDMW’2015 2015.

[4] Shuwei Feng, Yulan Ren, Shilin Fan, Minyu Wang, Tianxiao Sun, Fang Zeng, Ping Li, Fanrong Liang. Discovery of Acupoints and Combinations with Potential to Treat Vascular Dementia: A Data Mining Analysis[J]. Evidence-Based Complementary and Alternative Medicine2015,5(7).

[5] Ying Liu, Ming Tang, Tao Zhou, Younghae Do. Improving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamics.  Scientific Reports 5:13172, 2015.

[6] Ying Liu, Ming Tang, Tao Zhou, Younghae Do. Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition[J]. Scientific Reports 5:9602, 2015.

[1] Chen Yan, Chen Lixue, Sun Xian, Zhang Kai, Zhang Jie, Li Ping. Coevolutionary dynamics of opinion propagation and social balance: The key role of small-worldness[J]. European Physical Journal B, 2014, 87(3):1-5.

[1] Ping Li, Sun Xian, Zhang Kai, Zhang Jie, Small Michael. Degree-based Attacks are not optimal for desynchronization in general networks[J]. Physical Review E Statal Nonlinear & Soft Matter Physics, 2013, 88(2):022817.

[2] Ping Li, Zhang Kai, Xu Xiaoke, Zhang Jie, Small Michael. Reexamination of explosive synchronization in scale-free networks: the effects of disassortativity[J].  Physical Review E 2013,87(4).

[3]  Chen Yan, Chen Lixue, Zhang Songlin, Zhang Jie. Modeling access network: Maximum node-degree determines the traffic of the internet[J]. European Physical Journal Special Topics, 2013, 215(1):145-151.

[1] Ping Li, Zhang Jie, Xu xiaoke, Michael Small. Dynamical Influenceof Nodes Revisited: A Markov Chain Analysis of Epidemic Process on Networks[J]. Chinese Physics Letters, 2012, 29(4):48903-48906(4).

[1] Zhang Haifeng, Zhang Jie, Li Ping, Small Michael, Wang, Binghong. 疾病感染之风险估计决定控制策略之有效性. Physica D: Nonlinear Phenomena, 2011.5.15, 240(11):943~948.

[1] Wu Ye, Li Ping, Chen Maoyin, Xiao Jinghua, Kurths Juergen. Response of scale-free networks with community structure to external stimuli[J]. Physica A: Statistical Mechanics and Its Applications, 2009.7.15, 388(14):2987~2994.

[2] Li Ping, Chen Maoyin, Wu Ye, Kurths, Juergen. Matrix-measure criterion for synchronization in coupled-map networks[J]. Physical Review E, 2009, 79(6):067102.

[1] Li Ping, Zhang Yi. Synchronization analysis of delayed complex networks with time-varying couplings[J]. Physica A-Statistical Mechanics and Its Applications, 2008.6.1, 387(14):3729~3737.