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Huang, D., Hu, W.*, Jing, B., Zhang, B.* (2022) Grouped spatial autoregressive model. Computational Statistics and Data Analysis. To appear.
Wang, F., Huang, D.*, Gao, T., Wu, S.*, Wang, H. (2022) Sequential One-Step Estimator by Subsampling for Customer Churn Analysis with Massive Datasets. Journal of the Royal Statistical Society：Series C (Applied Statistics). To appear.
Wu, S., Huang,D.*, Wang, H. (2022) Network Gradient Descent Algorithm for Decentralized Federated Learning. Journal of Business & Economic Statistics. To appear.
Hu, W., Huang, D.*, Jing, B., Zhang, B.* (2021) Crawling Subsampling for Multivariate Spatial Autoregression Model in Large-Scale Networks. Electronic Journal of Statistics, 15(2), 3678-3707.
Zhu, Y., Deng, Q., Huang, D.*, Jing, B., Zhang, B.* (2021) Clustering based on Kolmogorov-Smirnov statistic with application to bank card transaction data. Journal of the Royal Statistical Society：Series C (Applied Statistics), 70(3), 558-578.
Wang, F., Zhu, Y., Huang, D.*, Qi. H., Wang, H. (2021) Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data. Computational Statistics & Data Analysis, 162, 107265.
Zhu, Y., Huang, D.*, Gao, Y., Wu, R., Chen, Y., Zhang, B., Wang, H. (2021) Automatic, Dynamic, and Nearly Optimal Learning Rate Specification via Local Quadratic Approximation. Neural Networks, 141,11-29.
Huang, D., Zhu, X.*, Li, R., Wang, H. (2021) Feature Screening for Network Autoregression Model, Statistica Sinica, 31,1239-1259.
Zhu, X., Huang, D.*, Pan, R., Wang, H. (2020) Multivariate Spatial Autoregressive Model for Large Scale Social Networks, Journal of Econometrics, 215(2), 591-606.
Su, L., Lu, W.*, Song, R., and Huang, D. (2020) Testing and Estimation of Social Network Dependence with Time to Event Data. Journal of the American Statistical Association. 115(530), 570-582.
Huang, D., Wang, F*., Zhu, X., Wang, H.(2020) Two-Mode Network Autoregressive Model for Large-Scale Networks. Journal of Econometrics, 216(1), 203-219.
Zhu, Y., Huang, D.*, Xu, W., & Zhang, B. (2020). Link prediction combining network structure and topic distribution in large-scale directed network. Journal of Organizational Computing and Electronic Commerce, 30(2), 169-185.
Chang X., Huang, D.*, Wang, H. (2019) A Popularity Scaled Latent Space Model for Large-Scale Directed Social Network. Statistica Sinica, 29(3), 1277-1299.
Huang, D., Lan, W., Zhang, H. H., & Wang, H. (2019) Least squares estimation of spatial autoregressive models for large-scale social networks. Electronic Journal of Statistics, 13(1), 1135-1165.
Huang, D., Guan, G.*, Zhou, J., Wang, H. (2018) Network-based Naive Bayes Model for Social Network. Science China Mathematics, 61(4), 627-640.
Huang, D., Zhou, J.*, and Wang, H. (2018) RFMS Method for Credit Scoring Based on Bank Card Transaction Data. Statistica Sinica, 28(4), 2903-2919.
Zhou, J., Huang, D.*, and Wang, H. (2017) A dynamic logistic regression for network link prediction. Science China Mathematics, 60, 165-176.
Huang, D., Yin, J., Shi, T., and Wang, H.* (2016) A statistical model for social network labeling. Journal of Business and Economic Statistics, 34(3), 368-374.
Huang, D., Li, R.*, & Wang, H. (2014) Feature Screening for Ultrahigh Dimensional Categorical Data with Applications. Journal of Business & Economic Statistics, 32(2), 237-244.
黄丹阳，朱映秋，南金伶，王汉生(2022)《基于交易流水的信用卡套现交易及商户识别》,《数理统计与管理》,已接收.
黄丹阳，郭雁茹，姜光耀，田昆(2022) 《融合多维度线上特征的餐饮商户线下销售额分析》,《营销科学学报》, 1(2), 30-51.
黄丹阳，张力文(2021)《基于局部社团结构平衡的双模符号网络链路预测研究》,《统计研究》,38(12),131-144.
黄丹阳，毕博洋，朱映秋(2021) 《基于高斯谱聚类的风险商户聚类分析》，《统计研究》，38(6), 145-160.
黄丹阳，毕博洋，苗玉茵(2020) 《双模网络下基于节点流行度的潜在空间模型》，《统计研究》，37(3), 60-71.
王曾，符国群，黄丹阳，汪剑锋(2014)《国有企业CEO“政治晋升”与“在职消费”关系研究》，《管理世界》，5，157-171.
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