2024

[160] Li J, Lu X*. Measuring the significance of higher-order dependency in networks. New Journal of Physics. 2024, 26: 033032.

[159] Weng F, Cheng D, Zhuang M, Lu X, Yang C*. The effects of governance quality on renewable and nonrenewable energy consumption: An explainable decision frame. Journal of Forecasting. 2024, 1-17.

[158] Bu T, Yang K, Yang W, Feng J, Zhang X, Lu X*. DRAM-like Architecture with Asynchronous Refreshing for Continual Relation Extraction. WWW'24. May 13-17, 2024, Singapore, Singapore.


2023

[157] 郭淑慧, and 吕欣*. 网络直播大数据: 统计特征与时序规律挖掘. 复杂系统与复杂性科学, 2023. 20(2): p. 1-9.

[156] 王彤, 谭索怡, and 吕欣*. 基于气象大数据的连续异常监测方法研究. 中国科学院大学学报, 2023. 40(3): p. 362-370.

[155] 吕欣, 刘楚楚, 蔡梦思, and 陈洒然. 隐私规避的网络调查与间接估计方法. 管理科学学报, 2023. 26(5): p. 103-120.

[154] Zhao, Y., Zhu, Z., Chen, B., Qiu, S.*, Huang, J.*, Lu, X.*, Yang, W., Ai, C., Huang, K., He, C., Jin, Y., Liu, Z., and Wang, F. Y. Towards parallel intelligence: An interdisciplinary solution for complex systems. The Innovation, 2023. 4(6): p. 100521.

[153] Liu, H., Wang, J., Liu, J., Ge, Y., Wang, X., Zhang, C., Cleary, E., Ruktanonchai, N., Ruktanonchai, C., Yao, Y., Wesolowski, A., Lu, X., Tatem, A., Bai, X.*, and Lai, S*. Combined and delayed impacts of epidemics and extreme weather on urban mobility recovery. Sustainable Cities and Society, 2023. 99: p. 104872.

[152] Zhang, J., Tan, S., Peng, C., Xu, X., Wang, M., Lu, W., Wu, Y., Sai, B., Cai, M., Kummer, A., Chen, Z., Zou, J., Li, W., Zheng, W., Liang, Y., Zhao, Y., Vespignani, A., Ajelli, M., Lu, X.*, and Yu, H*. Heterogeneous changes in mobility in response to the SARS-CoV-2 Omicron BA.2 outbreak in Shanghai. Proceedings of the National Academy of Sciences, 2023. 120(42): p. e2306710120.

[151] Zhou, B., Holme, P., Gong, Z., Zhan, C., Huang, Y., Lu, X., and Meng, X*. The nature and nurture of network evolution. Nature Communications, 2023. 14(1): p. 7031.

[150] Cai, M., Du, Y., Tan, Y., and Lu, X*. Aspect-based classification method for review spam detection. Multimedia Tools and Applications, 2023. p. 1-22.

[149] Yang, W., Li, J., Tan, S., Tan, Y., and Lu, X*. A heterogeneous graph neural network model for list recommendation. Knowledge-Based Systems, 2023. 277: p. 110822.

[148] Dai, B., Qin, S., Tan, S., Liu, C., Mou, J., Deng, H., Liljeros, F., and Lu, X*. Identifying influential nodes by leveraging redundant ties. Journal of Computational Science, 2023. 69: p. 102030.

[147] Wang, M., Cai, M., Guo, S., Li, M., Tan, X., Ou, C., and Lu, X*. Large-Scale Medical Crowdfunding Data Reveal Determinants and Preferences of Donation Behaviors. IEEE Transactions on Computational Social Systems, 2023. p. 1-13.

[146] 谭跃进*, 吕欣, 葛冰峰, 赵翔, 豆亚杰, and 杨志伟. 基于模型的高端装备创新研制任务集成管理. 管理世界, 2023. 39(01): p. 204-216.

[145] Qi, M., S. Tan, P. Chen, X. Duan, and X. Lu*. Efficient network intervention with sampling information. Chaos, Solitons & Fractals, 2023. 166: p. 112952.

2022

[144] Zhu, Z., B. Chen*, H. Chen, S. Qiu, C. Fan, Y. Zhao, R. Guo, C. Ai, Z. Liu, Z. Zhao, L. Fang, and X. Lu*. Strategy evaluation and optimization with an artificial society toward a Pareto optimum. The Innovation, 2022. 3(5): p. 1-3.

[143] Zhu, Z., C. Ai, H. Chen, B. Chen*, W. Duan*, X. Qiu, X. Lu, M. He, Z. Zhao, and Z. Liu. Understanding the Necessity and Economic Benefits of Lockdown Measures to Contain COVID-19. IEEE Transactions on Computational Social Systems, 2022: p. 1-13.

[142] Zhang, M., X. Zhang, C. Qu*, G. Wang, and X. Lu. The combination of social reward and punishment is conducive to the cooperation and heterogeneity of social relations. Chaos, 2022. 32(10): p. 103104.

[141] Wang, T., M. Cai, X. Ouyang, Z. Cao, T. Cai, X. Tan*, and X. Lu*. Anomaly Detection Based on Convex Analysis: A Survey. Frontiers in Physics, 2022. 10(873848): p. 1-19.

[140] Liu, C., X. Tan, T. Zhou, W. Zhang, J. Liu, and X. Lu*. Emoji use in China: popularity patterns and changes due to COVID-19. Applied Intelligence, 2022. 52(14): p. 16138-16148.

[139] Li, Y., J. Tan, S. Tan, Y. Zhou, B. Sai, B. Dai, and X. Lu*. Infection rate and factors affecting close contacts of COVID-19 cases: A systematic review. Journal of Evidence-Based Medicine, 2022. 15(4): p. 385-397.

[138] 郭淑慧 and 吕欣. 网络直播大数据:统计特征与时序规律挖掘. 复杂系统与复杂性科学, 2022. 网络首发: p. 1-9.

[137] 谭旭, 吴璞, 蒋知义, 邹凯, and 吕欣. 基于深度学习的医患舆情多维演化仿真分析. 计算机工程与应用, 2022. 网络首发: p. 1-11.

[136] 赛斌, 宋兵, 谭索怡, 欧朝敏, 周涛, 张伟, and 吕欣*. 新冠肺炎传播预测优化:基于少量早期数据的多阶段SEIRr模型. 工程管理科技前沿, 2022. 41(04): p. 24-31.

[135] Yang, W., J. Li, S. Tan, Y. Tan, and X. Lu*. Feature-enhanced embedding learning for heterogeneous collaborative filtering. Neural Computing and Applications, 2022. 34(21): p. 18741-18756.

[134] Zhu, J., F. Weng*, M. Zhuang*, X. Lu, X. Tan, S. Lin, and R. Zhang. Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model. International Journal of Environmental Research and Public Health, 2022. 19(20): p. 13248.

[133] Zhang, J., Z. Su, Y. Feng, X. Lu, M. Pietikäinen, and L. Liu. Dynamic Binary Neural Network by Learning Channel-Wise Thresholds. in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2022.

[132] Xu, X.-K., X.F. Liu, L. Wang, Y. Wu, X. Lu, X. Wang, and S. Pei*. Assessing the spread risk of COVID-19 associated with multi-mode transportation networks in China. Fundamental Research, 2022.

[131] Li, J., Y. Li, H. Han, and X. Lu*. Exploratory Methods for Imbalanced Data Classification in Online Recruitment Fraud Detection: A Comparative Analysis. in 2021 4th International Conference on Computing and Big Data (ICCBD 2021). 2022, Association for Computing Machinery: New York, NY, USA. p. 75–81.

[130] Lai, S.*, I.I. Bogoch, N.W. Ruktanonchai, A. Watts, X. Lu, W. Yang, H. Yu, K. Khan, and A.J. Tatem*. Assessing spread risk of COVID-19 within and beyond China in early 2020. Data Science and Management, 2022. 5(4): p. 212-218.

[129] Fang, F., T. Wang, S. Tan, S. Chen, T. Zhou, W. Zhang, Q. Guo, J. Liu*, P. Holme*, and X. Lu*. Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19. Frontiers in Public Health, 2022. 9: p. 813234.

[128] Bai, Y., M. Xu, C. Liu, M. Shen, L. Wang, L. Tian, S. Tan, L. Zhang, P. Holme, X. Lu, E.H.Y. Lau, B.J. Cowling*, and Z. Du. Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022. China CDC Weekly, 2022. 4(40): p. 885-889.

[127] Song, B., X.-Y. Yan, S. Tan, B. Sai, S. Lai, H. Yu, C. Ou, and Lu X*. Human mobility models reveal the underlying mechanism of seasonal movements across China . International Journal of Modern Physics C, 2022: p. 2250054.

2021

[126] 张辉, 刘远立, 陈春花, 陈宏民, 韩传峰, 王红卫, 刘兴华, 吕欣, 周涛, 吕孝礼, 陈育德, 王耀刚, 毛基业, 杨维中, 侯世科, 孟令鹏, 张维, 李磊*, and 胡业飞*. 全球性公共卫生危机治理:趋势与重点. 管理科学学报, 2021, 24(8): p. 133-146.

[125] 房帆, 郭淑慧, 谭跃进, and 吕欣*. 基于大数据挖掘的爆款产品影响要素分析. 美丽中国建设, 陈劲, Editor. 2021, 中国社会科学出版社: 北京. p. 230-242.

[124] Chen, S., Lu X*, F. Liljeros, Z. Jia, and L.E.C. Rocha. Indirect inference of sensitive variables with peer network survey . Journal of Complex Networks, 2021. 9(6): p. cnab034.

[123] Guo, S., F. Fang, T. Zhou, W. Zhang, Q. Guo, R. Zeng*, X. Chen*, J. Liu*, and Lu X*. Improving Google Flu Trends for COVID-19 estimates using Weibo posts . Data Science and Management, 2021. 3: p. 13-21.

[122] Li, J.*, Y. Tan, B. Ge, H. Zhao, and Lu X. Remaining Useful Life Prediction of the Concrete Piston Based on Probability Statistics and Data Driven . Applied Sciences, 2021. 11(18): p. 8482.

[121] Liu, C., F. Fang, X. Lin, T. Cai, X. Tan, J. Liu, and Lu X*. Improving sentiment analysis accuracy with emoji embedding . Journal of Safety Science and Resilience, 2021. 2(4): p. 246-252.

[120] Tan, S., S. Lai, F. Fang, Z. Cao, B. Sai, B. Song, B. Dai, S. Guo, C. Liu, M. Cai, T. Wang, M. Wang, J. Li, S. Chen, S. Qin, J.R. Floyd, Z. Cao, J. Tan, X. Sun, T. Zhou, W. Zhang, A.J. Tatem*, P. Holme*, X. Chen*, and Lu X*. Mobility in China, 2020: a tale of four phases. National Science Review . National Science Review, 2021. 8(11): p. nwab148.

[119] Zhang, J., Z. Su, Y. Feng, Lu X, M. Pietikäinen, and L. Liu. Dynamic Binary Neural Network by learning channel-wise thresholds . arxiv preprint, 2021. 2110.05185.

[118] Zhuang, M., Y. Li, X. Tan, L. Xing, and Lu X*. Analysis of public opinion evolution of COVID-19 based on LDA-ARMA hybrid model . Complex & Intelligent Systems, 2021. 7(6): p. 3165-3178.

[117] 赖圣杰, 冯录召, 冷志伟, 吕欣, 李瑞云, 尹凌, 骆威, 李中杰, 兰亚佳, and 杨维中. 传染病暴发早期预警模型和预警系统概述与展望. 中华流行病学杂志, 2021. 42(8): p. 1330-1335.

[116] 李佳旭, 蔡梦思, 谭索怡, 贾韬, and 吕欣*. 基于引文大数据的高阶网络建模及信息增益比较研究. 系统科学与数学, 2021. 41(10): p. 1-13.

[115] 吕欣*, 蔡梦思, and 陈彬. 桌面推演技术前沿及发展趋势. 中国科学基金, 2021. 35(05): p. 742-751.

[114] 王梦宁, 李孟军, 谭跃进, and 吕欣*. 众筹大数据:捐款行为影响要素及转发网络分析. 复杂科学管理, 2021(01): p. 49-67.

[113] 王彤, 谭索怡, and 吕欣*. 基于气象大数据的连续异常监测方法研究. 中国科学院大学学报, 2021: p. 2021074-2021074.

[112] Lu X<*, J. Tan, Z. Cao, Y. Xiong, S. Qin, T. Wang, C. Liu, S. Huang, W. Zhang, L.B. Marczak, S.I. Hay, L. Thabane, G.H. Guyatt, and X. Sun*. Mobile Phone-Based Population Flow Data for the COVID-19 Outbreak in Mainland China. Health Data Science, 2021. p. 9796431.

[111] Jia J, Li Y, Lu X, et al. Triadic embeddedness structure in family networks predicts mobile communication response to a sudden natural disaster . Nature Communications, 2021. 12(1): p. 4286.

[110] Cai, M., G. Huang, M.E. Kretzschmar, X. Chen, and Lu X*. Extremely Low Reciprocity and Strong Homophily in the World Largest MSM Social Network. IEEE Transactions on Network Science and Engineering, 2021: p. 1-1.

[109] Chen, S., X. Zhang, Y. Zhou, K. Yang, and Lu X*. COVID-19 protective measures prevent the spread of respiratory and intestinal infectious diseases but not sexually transmitted and bloodborne diseases. Journal of Infection, 2021. 83(1): p. e37-e39.

[108] Peng, C., Q. Mingze, Lu X, D. Xiaojun*, and K. Juergen. Efficient network immunization strategy based on generalized Herfindahl–Hirschman index. New Journal of Physics, 2021.

[107] 赛斌, 曹自强, 谭跃进, and 吕欣*. 基于目标跟踪与轨迹聚类的行人移动数据挖掘方法研究. 系统工程理论与实践, 2021. 41(1): p. 231-239.

[106] 戴碧涛, 谭索怡, 陈洒然, 蔡梦思, 秦烁, and 吕欣*. 基于手机大数据的中国人口迁徙模式及疫情影响研究. 物理学报, 2021. 70(6): p. 068903-1.

Dai, B.-T., S.-Y. Tan, S.-R. Chen, M.-S. Cai, S. Qin, and Lu X*. Measuring the impact of COVID-19 on China’s population migration with mobile phone data. Acta Physica Sinica, 2021. 70(6): p. 068903.

[105] Xiao, Y., H. Deng, Lu X, and J. Wu*. Graph-based rank aggregation method for high-dimensional and partial rankings. Journal of the Operational Research Society, 2021. 72(1): p. 227-236.

[104] Tan, X., M. Zhuang*, Lu X, and T. Mao. An Analysis of the Emotional Evolution of Large-Scale Internet Public Opinion Events Based on the BERT-LDA Hybrid Model. IEEE Access, 2021. 9: p. 15860-15871.

[103] Feng, P.*, Lu X, Z. Gong, and D. Sun,. A case study of the pyramid scheme in China based on communication network. Physica A: Statistical Mechanics and its Applications, 2021. 565: p. 125548.

[102] Feng, P., Lu X, Z. Gong, B. Li, and D. Sun*. Social network analysis model for research on organizational structure of the pyramid scheme communication network. MethodsX, 2021. 8: p. 101259.

[101] Zhang, Y., Y. Xiao, J. Wu*, and Lu X. Comprehensive world university ranking based on ranking aggregation. Computational Statistics, 2021. 36(2): p. 1139-1152.

[100] Tan, J., S. Zhao, Y. Xiong, C. Liu, S. Huang, X. Lu, L. Thabane, F. Xie, X. Sun, and W. Li*. Quantifying the impacts of human mobility restriction on the spread of coronavirus disease 2019: an empirical analysis from 344 cities of China. Chinese Medical Journal, 2021. 134(20): p. 2438-2446.

2020

[99] Jia J, Lu X, Yuan Y, Xu G, Jia J*, and Christakis N. Population flow drives spatio-temporal distribution of COVID-19 in China. Nature, 2020. 582(7812): p. 389-394.

[98] Cai M., Huang G., Tan Y., Jiang J., Zhou Z., and Lu X*. Decoding the complexity of large-scale pork supply chain networks in China. Industrial Management and Data Systems, 2020. 120(8): p. 1483-1500.

[97] Zhou T, Q Liu*, Z Yang, J Liao, K Yang, W Bai, Lu X*, and W Zhang*. Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV. Journal of Evidence-Based Medicine, 2020. 13(1): p. 3-7. doi:10.1111/jebm.12376.

[96] Zhou B, Lu X*, and Holme P. Universal evolution patterns of degree assortativity in social networks. Social Networks, 2020. 63: p. 47-55.

[95] Li, Y., M. Cai, S. Qin, and Lu X*. Depressive Emotion Detection and Behavior Analysis of Men Who Have Sex With Men via Social Media. Frontiers in Psychiatry, 2020. 11: p. 830.

[94] Liu, C., Z. Cao, and Lu X*. Location inference for hidden population with online text analysis . International Journal of Health Geographics, 2020. 19(1): p. 157.

[93] 周涛, 刘权辉*, 杨紫陌, 廖敬仪, 杨可心, 白薇, 吕欣*, and 张伟*. 武汉新型冠状病毒感染肺炎基本再生数的初步预测. 中国循证医学杂志, 2020. 20(3): p. 1-6.

[92] 谭索怡, 祁明泽, 吴俊*, and 吕欣*. 复杂网络链路可预测性: 基于特征谱视角. 物理学报, 2020. 69(8): p. 088901. doi:10.7498/aps.69.20191817.

[91] 谭索怡, 曹自强, 秦烁, 陈洒然, 赛斌, 郭淑慧, 刘楚楚, 蔡梦思, 周涛*, 张伟*, and 吕欣*. 基于密切接触者人数推断新冠肺炎疫情发展趋势. 电子科技大学学报, 2020. 49(5): p. 788-794.

[90] 马亮, 杨妹, 艾川, 朱正秋, 陈海亮, 朱蒙娜, 段伟, 邱晓刚, 吕欣, and 陈彬*. 基于ACP方法的新型冠状病毒肺炎疫情管控措施效果评估. 智能科学与技术学报, 2020. 2(01): p. 88-98.

[89] 栾荣生, 王新, 孙鑫, 陈兴蜀, 周涛, 刘权辉, 吕欣, 吴先萍, 谷冬晴, 唐明霜, 崔慧杰, 单雪峰, 欧阳净, 张本, and 张伟*. 新型冠状病毒肺炎的流行病学、临床治疗与疫情防控. 四川大学学报(医学版), 2020. 51(2): p. 131-138. doi:10.12182/20200360505.

[88] 郭淑慧, and 吕欣. 网络直播数据挖掘与行为分析综述. 物理学报, 2020. 69(8): p. 088908.

[87] 曹自强, 赛斌, and 吕欣*. 行人跟踪算法及应用综述. 物理学报, 2020. 69(8): p. 084203.

[86] Si, M., L. Cui*, W. Guo, Q. Li, L. Liu, X. Lu, and Lu X*. A comparative analysis for spatio-temporal spreading patterns of emergency news . Scientific Reports, 2020. 10(1): p. 19472.

[85] Lai Shengjie*, Bogoch Isaac, Ruktanonchai Nick, Watts Alexander, Li Yu, Yu Jianzing, Lu X, Yang Weizhong, Yu Hongjie, Khan Kamran, Li Zhongjie, and Tatem A J*. Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study. medRxiv 2020.02.04.20020479, 2020. doi:https://doi.org/10.1101/2020.02.04.20020479.

[84] Huang G, Li Y*, X Tan*, Tan Y, and Lu X. PLANET: A radial layout algorithm for network visualization. Physica A: Statistical Mechanics and its Applications, 2020. 539: p. 122948.

[83] Cao Z, Q Zhang, Lu X, D Pfeiffer, L Wang, H Song, T Pei, Z Jia*, and D D Zeng*. Incorporating Human Movement Data to Improve Epidemiological Estimates for 2019-nCoV. medRxiv 2020.02.07.20021071, 2020. doi:10.1101/2020.02.07.20021071.

[82] Cao, Z., Q. Zhang, Lu X, D. Pfeiffer, Z. Jia, H. Song, and D.D. Zeng. Estimating the effective reproduction number of the 2019-nCoV in China. medRxiv 2020.01.27.20018952, 2020. doi:10.1101/2020.01.27.20018952.

2019

[81] Lu X†*, S. Qin, P. Holme, F. Meng, Y. Hu, F. Liljeros, and G. Allon. Beyond the Coverage of Information Spreading: Analytical and Empirical Evidence of Re-exposure in Large-scale Online Social Networks. arXiv preprint arXiv:1907.12389, 2019.

[80] Lu X, Horn, A. L., Su, J. and Jiang, J. A Universal Measure for Network Traceability. Omega, 2019. 87: p. 191-204.

[79] Liu, C. and Lu X. Network Evolution of a Large Online MSM Dating Community: 2005 - 2018. International Journal of Environmental Research and Public Health, 2019. 16(22): p. 4322.

[78] Kraemer, M.U.G., R.C. Reiner, O.J. Brady, J.P. Messina, M. Gilbert, D.M. Pigott, D. Yi, K. Johnson, L. Earl, L.B. Marczak, S. Shirude, N. Davis Weaver, D. Bisanzio, T.A. Perkins, S. Lai, Lu X, P. Jones, G.E. Coelho, R.G. Carvalho, W. Van Bortel, C. Marsboom, G. Hendrickx, F. Schaffner, C.G. Moore, H.H. Nax, L. Bengtsson, E. Wetter, A.J. Tatem, J.S. Brownstein, D.L. Smith, L. Lambrechts, S. Cauchemez, C. Linard, N.R. Faria, O.G. Pybus, T.W. Scott, Q. Liu, H. Yu, G.R.W. Wint, S.I. Hay, and N. Golding. Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nature Microbiology, 2019. 3: p. 1-10.

[77] Huang, G., M. Cai, and Lu X. Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued. International Journal of Environmental Research and Public Health, 2019. 16(19): p. 3597.

[76] Xiao Y, Deng H, Lu X and Wu J. Optimal ballot-length in approval balloting-based multi-winner elections . Decision Support Systems, 2019. 118: p.1-9.

[75] Qin, S., J. Mou, S. Chen, and Lu X*. Modeling and optimizing the delay propagation in Chinese aviation networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019. 29(8): p. 081101.

[74] Yu Xiao, Hong-Zhong Deng,Lu X, and J. Wu*. Graph-based rank aggregation method for high-dimensional and partial rankings. Journal of the Operational Research Society, 2019. accepted: p. 1-10.

[73] 肖时耀, 吕慰, 陈洒然, 秦烁, 黄格, 蔡梦思, 谭跃进, 谭旭, and 吕欣*. 基于百度贴吧的HIV高危人群特征分析. 大数据, 2019. 5(1): p. 2019008.

[72] 吴俊, 张洋, and 吕欣. 基于聚合的世界大学综合排名方法研究. 高等教育研究学报, 2019. 42(1): p. 83-90.

[71] 马北玲, 吕欣, 陈星, and 陈晓红*. 火电厂大气排放监测大数据分析及政策影响研究. 中国人口·资源与环境, 2019. 29(07): p. 73-79.

[70] Diao, Z., D. Zhang*, X. Wang, K. Xie*, S. He*, Lu X, and Y. Li. A Hybrid Model for Short-Term Traffic Volume Prediction in Massive Transportation Systems. IEEE Transactions on Intelligent Transportation Systems, 2019. 20(3): p. 935-946.


2018

[69] 吕欣*. 大数据技术在应急救援领域的应用及展望. 中国计算机学会通讯 14, 56-62 (2018).

[68] Peak CM, Wesolowski A, Erbach-Schoenberg E Zu, Tatem AJ, Wetter E, Lu X, Power D, Weidman-Grunewald E, Ramos S, Moritz S, Buckee CO*, and Bengtsson L. Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data. International Journal of Epidemiology, 2018. 47(5): p. 1562-1570.

[67] Chen S, Lu X*, Liu Z and Jia Z. Sampling on bipartite networks: a comparative analysis of eight crawling methods. Journal of Statistical Mechanics: Theory and Experiment, 2018. 2018(7): 073403.

[66] Liu C and Lu X*. Analyzing hidden populations online: topic, emotion, and social network of HIV-related users in the largest Chinese online community. BMC Medical Informatics and Decision Making, 2018. 18(1): 2.

[65] Chen S, Lu X*, Liu Z and Jia Z. Inferring the Population Mean with Second-Order Information in Online Social Networks. Entropy, 2018. 20(6): 480.

[64] Wang Y, Lu X* and Tan Y. Impact of product attributes on customer satisfaction: An analysis of online reviews for washing machines . Electronic Commerce Research and Applications, 2018. 29: p. 1-11.

[63] 秦烁, 吕欣*, 孟凡辉, and 胡延庆. 在线社交媒体信息冗余现象建模与实证研究. 大数据, 2018. 4(5): p. 2018050.

[62] 牟建红, 黄格, and 吕欣*. 中国航空网络时序特征分析. 电子科技大学学报, 2018(3): p. 462-468.

[61] 刘楚楚 and 吕欣*. 基于公开数据的特殊人群在线活动特征挖掘. 大数据, 2018. 4(5): p. 2018047-.

[60] Tan Y, Wang Y*, Lu X, Cai M and Ge B. High-end equipment customer requirement analysis based on opinion extraction. Frontiers of Engineering Management, 2018. 5(4): p. 479-486.

[59] Liu L, Chen B*, Ai C, He L, Wang Y, Qiu X and Lu X. The Influence of Geographic Factors on Information Dissemination in Mobile Social Networks in China: Evidence from WeChat. ISPRS International Journal of Geo-Information, 2018. 7(5): 189.


2017

[58] Zhao Y, Li M*, Lu X, Tian L, Yu Z, Huang K, Wang Y and Li T. Optimal layout design of obstacles for panic evacuation using differential evolution. Physica A: Statistical Mechanics and its Applications, 2017, 465: 175-194.

[57] Xiao Y, Deng Y, Wu J*, Deng H-Z, and Lu X. Comparison of rank aggregation methods based on inherent ability. Naval Research Logistics (NRL), 2017. 64(7): 556-565.

[56] Wu J*, Tan S-Y, Liu Z*, Tan Y-J and Lu X. Enhancing structural robustness of scale-free networks by information disturbance. Scientific Reports, 2017, 7: 7559.

[55] Steele JE*, Sundsøy PR, Pezzulo C, Alegana VA, Bird TJ, Blumenstock J, Bjelland J, Engø-Monsen K, de Montjoye Y-A, Iqbal AM, Hadiuzzaman KN, Lu X, Wetter E, Tatem AJ and Bengtsson L. Mapping poverty using mobile phone and satellite data. Journal of The Royal Society Interface, 2017, 14(127).

[54] Xu J, Li L*, Lu X, Hu S, Ge B, Xiao W and Yao L. Behavior-Based Collective Classification in Sparsely Labeled Networks. IEEE Access, 2017. 5: 12512-12525.

[53] Sallah K *, Giorgi R, Bengtsson L, Lu X, Wetter E, Adrien P, Rebaudet S, Piarroux R and Gaudart J. Mathematical models for predicting human mobility in the context of infectious disease spread: introducing the impedance model . International Journal of Health Geographics, 2017, 16(1): 42.

[52] Mou J, Liu C, Chen S, Huang G and Lu X*. Temporal Characteristics of the Chinese Aviation Network and their Effects on the Spread of Infectious Diseases. Scientific Reports, 2017, 7(1): 1275.

[51] Chen S, Lu X*. An Immunization Strategy for Hidden Populations. Scientific Reports, 2017, 7(1): 3268.


2016

[50] Lu X, Wrathall DJ, Sundsøy PR, Nadiruzzaman M, Wetter E, Iqbal A, Qureshi T, Tatem AJ, Canright GS, Engø-Monsen K, and Bengtsson L*. Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh. Global Environmental Change, 2016, 38: 1-7.

[49] Lu X, Wrathall DJ, Sundsøy PR, Nadiruzzaman M, Wetter E, Iqbal A, Qureshi T, Tatem AJ, Canright GS, Engø-Monsen K, and Bengtsson L*. Detecting climate adaptation with mobile network data in Bangladesh: anomalies in communication, mobility and consumption patterns during cyclone Mahasen. Climatic Change, 2016, 138(3): 505-519.

[48] Zhang Z-K, Liu C, Zhan X-X, Lu X, Zhang C-X and Zhang Y-C*. Dynamics of information diffusion and its applications on complex networks. Physics Reports, 2016, 651: 1-34.

[47] Wilson R, zu Erbach-Schoenberg E, Albert M, Power D, Tudge S, Gonzalez M, Guthrie S, Chamberlain H, Brooks C, Hughes C, Pitonakova L, Buckee C, Lu X, Wetter E, Tatem A, and Bengtsson L. Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake. PLOS Currents Disasters, 2016, Feb 24 . Edition 1.

[46] Tan S-Y*, Wu J*, Lü L*, Li M-J and Lu X. Efficient network disintegration under incomplete information: the comic effect of link prediction . Scientific Reports, 2016, 6: 22916.

[45] Tan S-Y, Wu J*, Li M-J and Lu X. Approximating natural connectivity of scale-free networks based on largest eigenvalue. EPL (Europhysics Letters), 2016, 114(5): 58002.

[44] Ruktanonchai NW, Bhavnani D, Sorichetta A, Bengtsson L, Carter KH, Cordoba RC, Le Menach A, Lu X, Wetter E, Erbach-Schoenberg EZ, and Tatem AJ. Census-derived migration data as a tool for informing malaria elimination policy. Malaria Journal, 2016, 15.

[43] Kulane A*, Sematimba D, Mohamed L M, Lu X. Health in a fragile state: a five-year review of mortality patterns and trends at Somalia’s Banadir Hospital. International Journal of General Medicine, 2016, 9: 303.

[42] Cheng Q*, Lu X, Wu JT, Liu Z, and Huang J. Analysis of heterogeneous dengue transmission in Guangdong in 2014 with multivariate time series model. Scientific Reports, 2016, 6: 33755.

[41] Cheng Q*, Lu X, Liu Z, Huang J, and Cheng G. Spatial clustering with Density-Ordered tree. Physica A: Statistical Mechanics and its Applications, 2016, 460: 188-200.


2015

[40] Cheng Q*, Lu X, Liu Z, and Huang, J. Mining research trends with anomaly detection models: the case of social computing research. Scientometrics, 2015: p. 1-17.

[39] Strömdahl S†*, Lu X, Bengtsson L, Liljeros F, Thorson A. Implementation of Web-Based Respondent Driven Sampling among Men Who Have Sex with Men in Sweden. PLoS ONE 2015, 10:e0138599.

[38] Bharti N*, Lu X, Bengtsson L, Wetter E, and Tatem AJ. Remotely measuring populations during a crisis by overlaying two data sources. International Health, 2015, 7(2): 90-98.

[37] Bengtsson L*, Gaudart J, Lu X, Moore S, Wetter E, Sallah K, Rebaudet S, and Piarroux R. Using Mobile Phone Data to Predict the Spatial Spread of Cholera. Scientific Reports, 2015, 5: 8923 | doi: 10.1038/srep08923.


2014

[36] Buckee CO*, Tatem AJ, Wetter E, Lu X, and Bengtsson L. Society: Protect Privacy of Mobile Data. Nature, 2014, 514(7520): 35-35. (Correspondence)

[35] Lu X* and Brelsford C. Network Structure and Community Evolution on Twitter: Human Behavior in Response to The 2011 Japanese Earthquake and Tsunami. Scientific Reports, 2014, 4. doi: 10.1038/srep06773

[34] Bengtsson L*, Lu X, Liljeros F, Thanh HH, and Thorson A. Strong Propensity for HIV Transmission among Men who have Sex with Men in Vietnam: Behavioral Data and Sexual Network Modeling. BMJ Open, 2014, 4:e003526.

[33] Wesolowski A, Bengtsson L, Buckee CO, Wetter E, Lu X and Tatem AJ. Commentary: Containing the Ebola Outbreak – the Potential and Challenge of Mobile Network Data. PLOS Currents Outbreaks. 2014 Sep 29. Edition 1. doi: 10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e.

[32] Wesolowski A, Bengtsson L, Buckee CO, Lu X, Wetter E, and Tatem AJ. Flowminder Foundation West Africa human mobility models: Version 1.0. http://web.flowminder.org/, 2014.

[31] Stein M L*, van Steenbergen JE, Chanyasanha C, Tipayamongkholgul M, Buskens V, van der Heijden PGM, Sabaiwan W, Bengtsson L, Lu X, Thorson A, and Kretzschmar MEE. Online respondent-driven sampling for studying contact patterns relevant for the spread of close-contact pathogens: a pilot study in Thailand. PLOS ONE, 2014, 9 (1): e85256. DOI: doi:10.1371/journal.pone.0085256.

[30] Stein M L*, van Steenbergen JE, Buskens V, van der Heijden PGM, Chanyasanha C, Tipayamongkholgul M, Thorson A, Bengtsson L, Lu X, Kretzschmar MEE. Comparison of Contact Patterns Relevant for Transmission of Respiratory Pathogens in Thailand and the Netherlands Using Respondent-Driven Sampling. PLOS ONE, 2014, 9 (11): e113711. DOI:10.1371/journal.pone.0113711.


2013

[29] Lu X*. Linked Ego Networks: Improving Estimate Reliability and Validity with Respondent-driven Sampling. Social Networks, 2013, 35: 669-685.

[28] Lu X*, Malmros J, Liljeros F, and Britton T. Respondent-driven Sampling on Directed Networks. Electronic Journal of tatistics, 2013, 7: 292-322.

[27] Lu X*, Wetter E, Bharti N, Tatem AJ, and Bengtsson L. Approaching the Limit of Predictability in Human Mobility. Scientific Reports, 2013, 3. doi: 10.1038/srep02923

[26] Lu X*. Respondent-driven Sampling: Theory, Limitations & Improvements, in Dept of Public Health Sciences . 2013, Karolinska Institutet: Stockholm, Sweden. p. 194.

[25] Yan W*, L Palm, Lu X, Nie S, Xu B, Zhao Q, Tao T, Cheng L, Tan L, Dong H, and Diwan VK. ISS-An Electronic Syndromic Surveillance System for Infectious Disease in Rural China. PLOS ONE, 2013, 8:e62749.

[24] Tao T, Zhao Q, Cheng H, L Palm, Lu X, Yuan H, Song X, and Xu B*. Use of Control Bar Matrix for Outbreak Detection in Syndromic Surveillance System.urveillance System for Infectious Disease in Rural China. Online Journal of Public Health Informatics, 2013. 5(1): p. e111.


2012

[23] Lu X*, Bengtsson L, and Holme P. Predictability of population displacement after the 2010 Haiti earthquake . Proceedings of the National Academy of Sciences, 2012, 109(29):11576-11581.

[22] Lu X*, Bengtsson L, Britton T, Camitz M, Kim BJ, Thorson A, and Liljeros F. The sensitivity of respondent-driven sampling. Journal of the Royal Statistical Society: Series A (Statistics in Society), 2012. 175(1): p. 191–216. doi: 10.1111/j.1467-985X.2011.00711.x

[21] Bengtsson L*, Lu X, Nguyen QC, Camitz M, Hoang NL, Nguyen TA, Liljeros F, and Thorson A. Implementation of Web-Based Respondent-Driven Sampling among Men Who Have Sex with Men in Vietnam. PLOS ONE, 2012, 7 (11): e49417.


2011

[20] Lu X*, and Camitz M. Finding the Shortest Paths by Node Combination. Applied Mathematics and Computation, 2011, 217 (13) p. 6401-6408

[19] Bengtsson L*, Lu X, Thorson A, Garfield R, and Schreeb J von. Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti. PLoS Medicine, 2011, 8 (8): e1001083 DOI:10.1371/journal.pmed.1001083


2010

[18] Bengtsson L, Lu X, Garfield R, Thorson A, and Schreeb J von. Saint-Marc Cholera Outbreak: Analyses of ongoing population movements from the Saint-Marc area, Haiti . Karolinska Institute and Columbia University, 2010.

[17] Bengtsson L, Lu X, Garfield R, Thorson A, and Schreeb J von. Internal Population Displacement in Haiti: Preliminary analyses of movement patterns of Digicel mobile phones: 1 December 2009 to 18 June 2010. Karolinska Institute and Columbia University, 2010.

[16] Bengtsson L, Lu X, Garfield R, Thorson A, and Schreeb J von. Internal population displacement in Haiti: preliminary analyses of movement patterns of Digicel mobile phones: 1 January to 11 March 2010 . Karolinska Institute and Columbia University, 2010.

[15] 李俊, 吕欣, 谭跃进*. 基于空间结构的战术通信网络建模, 系统工程与电子技术, 2010, 32(7): 1456-1461.

[14] 李勇, 邓宏钟, 吴俊, 吕欣, 刘斌, and 谭跃进*, 不同流量的复杂保障网络抗毁性仿真分析. 火力与指挥控制, 2010(03): p. 9-13.


2009

[13] 吕欣, 李勇, 邓宏钟, 谭跃进*. 基于节点合并的最短路问题新算法, 小型微型计算机系统, 2009, 30(4): 695-699.

[12] 李勇, 吕欣, 谭跃进*. 基于级联失效的战域保障网络节点容量优化. 复杂系统与复杂性科学, 2009, 6(1): 69-76.

[11] 黄泽汉, 谭跃进*, 吕欣. 基于时延-容量转换的网络路径优选研究, 管理工程学报, 2009(03): 111-114.

[10] 邓宏钟, 吴俊, 李勇, and 吕欣, C4ISR系统结构的网络分析. 火力与指挥控制, 2009(11): p. 31-34+38.


2008

[9] 吕欣, 邓宏钟, 李勇, 吴俊, and 谭跃进*, 一种具有随机远程感染机制的复杂网络 SIS 传播模型, in 复杂网络理论与应用: 第三届全国复杂网络学术会议文集. 2008, 上海系统科学出版社: 香港. p. 251.

[8] 吕欣, 邓宏钟, 李勇, 吴俊, 谭跃进*. 洞庭湖区东方田鼠种群生长与灾变过程建模与仿真分析, 系统仿真学报, 2008, 20(23): 6575-6579.

[7] 谭跃进, 吕欣, 吴俊, 邓宏钟*. 复杂网络抗毁性研究若干问题的思考, 系统工程理论与实践, 2008, 28(Suppl): 116-120.

[6] 谭跃进, 吕欣, 吴俊, 邓宏钟*. 复杂网络抗毁性研究的主要科学问题, 中国系统工程学会第十五届学术年会•江西, 2008. 中国江西南昌.

[5] 李勇, 邓宏钟, 吴俊, 吕欣, 刘斌, 谭跃进*. 基于级联失效的复杂保障网络抗毁性仿真分析. 计算机应用研 究, 2008, 25(11): 3451-3454.

[4] 邓宏钟, 吴俊, 李勇, 吕欣, 谭跃进*. 复杂网络拓扑结构对系统抗毁性影响研究, 系统工程与电子技术, 2008(12): p. 2425-2428.


2007

[3] 贺昌政 and 吕欣, GMDH与PLS解决多重共线性问题的比较研究. 统计与决策, 2007(16): p. 4-6.

[2] 邓宏钟, 吴俊, 李勇, 吕欣, 谭跃进*. 复杂动态网络抗毁性仿真研究. 第三届全国复杂网络学术会议•上海, 2007, 12.


2005

[1] 吕欣 and 古副文*, 高考分数与大学成绩相关性实证分析. 教育情报参考, 2005. 9: p. 16-17.