1. 多维数据流下的小微商户信用评估模型，中国人民大学科学研究基金面上项目，2019-2021，主持，在研

2. 社交网络中的空间自回归模型：理论与应用研究，国家自然科学基金青年项目，2018-2020，主持，在研

3. 大数据驱动的互联网信用评价模型，北京市社会科学基金青年项目，2018-2020，主持，在研

4. 互联网信用评价中的非结构化数据融合研究，国家统计局一般项目， 2017-2019，主持，在研

5. 大数据驱动的互联网信用评价模型， 北京市优秀人才培养资助项目， 2017-2019， 主持，在研

6. 基于大规模社交网络的统计学模型，中国人民大学科学研究基金青年项目，2016-2017，主持，结项

7. 互联网征信中的信用评分模型，横向课题，2016-2017，主持，结项

1. Huang, D., Zhu, X.*, Li, R., Wang, H. (2020) Feature Screening for Network Autoregression Model, Statistica Sinica, To appear.

2. Yu, L., Lu, W.*, and Huang, D. (2020) Modeling and Estimation of Contagion-Based Social Network Dependence with Time-to-Event Data. Statistica Sinica. To Appear.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. Huang, D., Chang X.*, Wang, H. (2018) Spatial Autoregression with Repeated Measurements for Social Networks. Communication in Statistics-Theory and Methods, 47(15), 3715-3727.

11. Huang, D., Guan, G.*, Zhou, J., Wang, H. (2018) Network-based Naive Bayes Model for Social Network. Science China Mathematics, 61(4), 627-640.

12. Zhou, J., Huang, D.*, and Wang, H. (2017) A dynamic logistic regression for network link prediction. Science China Mathematics, 60, 165-176.

13. 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.

14. 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.

15. 黄丹阳，毕博洋，苗玉茵(2019) 《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.

16. 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》2014年第5期， 157-171.