List of papers

Collective behavior on networks

  1. Adjodah, D., Leng, Y., Chong, S. K., Krafft, P., & Pentland, A. (2019). Improving the Wisdom of the Crowd by Controlling for Social Learning. Under revision. Available upon request.
  2. Leng, Y., Sella, Y., Ruiz, R., & Pentland, A. Contextual centrality: going beyond network structure. Scientific Reports 10, no. 1 (2020): 1-10. Link .
  3. Leng, Y., Dong, X., Wu. J., & Pentland, A. Learning Quadratic Games on Networks. Thirty-Seventh International Conference on Machine Learning (ICML) 2020. Link.
  4. Leng, Y., Dong, X., Moro, E., & Pentland, A. (2018). The Rippling Effect of Social Influence via Phone Communication Network. In Complex Spreading Phenomena in Social Systems (pp. 323-333). Springer, Cham. Link.
  5. Leng, Y., Dong, X., Travizano, M., Moro, E., & Pentland, A. Long range social influence in phone communication network. Under revision
  6. Leng, Y., Ruiz, R., Dong, X., & Pentland, A. (2019). Interpretable recommender system with heterogeneous information: A geometric deep learning perspective . Under review.
  7. Leng, Y., Dong, X, Moro, E., & Pentland, A (2018). Beyond exposure: the paradoxical nature of social influence. Available upon request.


  1. Leng, Y. , Y. Zhai, S. Sun, Y. Wu, J. Selzer, S. Strover, H. Zhang, A. Chen, Y. Ding. Misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements . IEEE Transactions on Big Data, 2332-7790 (2021). Link.

Smart cities

  1. Leng, Y., Noriega, A., Pentland (2021). Tourism Event Analytics with Mobile Phone Data. Forthcoming in ACM/IMS Transactions on Data Science. Link.
  2. Leng, Y., Koutsopoulos, H., & Zhao, J. (2021). Profiling presence patterns and segmenting user locations from cell phone data. orthcoming in ACM Transactions on Management Information Systems (TMIS).
  3. Leng, Y., Babwany N., & Pentland, A.. (2021). Unraveling the Association between Socioeconomic Diversity and Consumer Price Index in a Tourism Country. Forthcoming in Humanities and Social Sciences Communications in Nature.
  4. Liu, X., Yan, X., Liu, F., Wang, R., & Leng, Y. (2019). A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data. Applied Energy, 240, 295-311. Link.
  5. Chen, S., Leng, Y. , Mao, B., & Liu, S. (2014). Integrated weight-based multi-criteria evaluation on transfer in large transport terminals: A case study of the Beijing South Railway Station. Transportation Research Part A: Policy and Practice, 66, 13-26. Link.
  6. Leng, Y., Rudolph, L., Pentland, A. S., Zhao, J., & Koutsopolous, H. N. (2017). Managing travel demand: Location recommendation for system efficiency based on mobile phone data . Proceedings of the ACM SIGKDD International Workshop on Urban Computing. 2017. Link.

Causal inference

  1. Leng, Y., Dimmery, D. (2019). Calibration of Heterogeneous treatment effect. Available upon request.