Selected Publications
Yang, Yang*, Youyou Wu*, and Brian Uzzi. (2020). Estimating the 'Deep-Replicability' of Scientific Findings Using Human and Machine Intelligence. Proceedings of the National Academy of Sciences 117 (20) 10762-10768 *(equal contribution)
Yang, Yang*, Adam Pah*, and Brian Uzzi. (2019).Quantifying the Future Lethality of Terror Organizations. Proceedings of the National Academy of Sciences 116 (43) 21463-21468 *(equal contribution)
Yang, Yang, Nitesh V. Chawla and Brian Uzzi. (2019). A network’s gender composition and communication pattern predict women’s leadership success. Proceedings of the National Academy of Sciences 116 (6) 2033-2038.
Yang, Yang, Ryan N. Lichtenwalter, and Nitesh V. Chawla. (2015). Evaluating Link Prediction Methods. Knowledge and Information Systems 45 (3), 751-782.
Dong, Yuxiao, Jie Tang, Nitesh V. Chawla, Ttiancheng Lou, Yang Yang, and Bai Wang. (2015). Inferring social status and rich club effects in enterprise communication networks. PloS one 10 (3), e0119446.
Yang, Yang, Nitesh V. Chawla and Yuxiao Dong. (2014). Predicting Node Degree Centrality with the Node Prominence Profile. Scientific reports 4, 7236.
Dong, Yuxiao, Yang Yang, Jie Tang, Yang Yang, and Nitesh V. Chawla. (2014). Inferring User Demographics and Social Strategies in Mobile Social Networks. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining pp. 15-24.
Yang, Yang, Nitesh V. Chawla, Yizhou Sun, and Jiawei Han. (2012). Predicting links in multi-relational and heterogeneous networks. IEEE 12th International Conference on Data Mining pp. 755-764.
Work In Progress
Yang, Yang, Teresa K. Woodruff, Yuan Tian, Benjamin Jones, and Brian Uzzi. Gender Diverse Teams Produce More Innovative and Influential Ideas in Medical Research. Submitted
Tian, Yuan, Yang Yang, Adam R. Pah and Brian Uzzi. Evidence that news coverage on intensifying terrorist organizations' future lethality. Submitted
Sourav Medya, Mohammad Rasoolinejad, Yang Yang, and Brian Uzzi. Identifying Stock Price Movements from Earnings Call. Under Review
Media and Public Perception of Science. In Preparation for Submission
Ideology Polarization and Scientific Communication. Data Analysis
Selected Publications
Yang, Yang*, Youyou Wu*, and Brian Uzzi. (2020). Estimating the 'Deep-Replicability' of Scientific Findings Using Human and Machine Intelligence. Proceedings of the National Academy of Sciences 117 (20) 10762-10768 *(equal contribution)
Yang, Yang*, Adam Pah*, and Brian Uzzi. (2019).Quantifying the Future Lethality of Terror Organizations. Proceedings of the National Academy of Sciences 116 (43) 21463-21468 *(equal contribution)
Yang, Yang, Nitesh V. Chawla and Brian Uzzi. (2019). A network’s gender composition and communication pattern predict women’s leadership success. Proceedings of the National Academy of Sciences 116 (6) 2033-2038.
Yang, Yang, Ryan N. Lichtenwalter, and Nitesh V. Chawla. (2015). Evaluating Link Prediction Methods. Knowledge and Information Systems 45 (3), 751-782.
Dong, Yuxiao, Jie Tang, Nitesh V. Chawla, Ttiancheng Lou, Yang Yang, and Bai Wang. (2015). Inferring social status and rich club effects in enterprise communication networks. PloS one 10 (3), e0119446.
Yang, Yang, Nitesh V. Chawla and Yuxiao Dong. (2014). Predicting Node Degree Centrality with the Node Prominence Profile. Scientific reports 4, 7236.
Dong, Yuxiao, Yang Yang, Jie Tang, Yang Yang, and Nitesh V. Chawla. (2014). Inferring User Demographics and Social Strategies in Mobile Social Networks. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining pp. 15-24.
Yang, Yang, Nitesh V. Chawla, Yizhou Sun, and Jiawei Han. (2012). Predicting links in multi-relational and heterogeneous networks. IEEE 12th International Conference on Data Mining pp. 755-764.
Work In Progress
Yang, Yang, Teresa K. Woodruff, Yuan Tian, Benjamin Jones, and Brian Uzzi. Gender Diverse Teams Produce More Innovative and Influential Ideas in Medical Research. Submitted
Tian, Yuan, Yang Yang, Adam R. Pah and Brian Uzzi. Evidence that news coverage on intensifying terrorist organizations' future lethality. Submitted
Sourav Medya, Mohammad Rasoolinejad, Yang Yang, and Brian Uzzi. Identifying Stock Price Movements from Earnings Call. Under Review
Media and Public Perception of Science. In Preparation for Submission
Ideology Polarization and Scientific Communication. Data Analysis