Spillover on Networks

  1. Leng, Y. & Dimmery, D. (2024). Calibration of Heterogeneous Treatment Effect in Randomized Experiments. Acceptedy by Information Systems Research.
  2. Leng, Y., Dong, X., Moro, E., & Pentland, A. (2023). Long Range Social Influence in Phone Communication Networks on Offline Adoption Decisions. Information Systems Research.
  3. Leng, Y., Sella, Y., Ruiz, R., & Pentland, A (2020). Contextual Centrality: Going Beyond Network Structure. Scientific Reports.
  4. Leng, Y. & Agarwal, A.. Are Spatial Neighbors Complements or Substitutes? Discovering a Visits-based Local Market Structure. Reject & resubmit at Marketing Science.
  5. Lera, S. and Leng, Y. Beyond Pairwise Network Interactions: Implications for Information Centrality.
  6. Jahani, E., Gallagher, N., Merhout, F., Cavalli, N., Guilbeault, D., Leng, Y., & Bail, C. A. (2022). An Online experiment during the 2020 US–Iran crisis shows that exposure to common enemies can increase political polarization. Scientific Reports. Randomized authorship order. All authors contribute equally.

Machine Learning on Social and Data Networks

  1. Leng, Y. & Yuan, Y. Do LLM Agents Exhibits Social Behviors? Major Revision at Information Systems Research.
  2. Leng, Y. Can LLMs Mimic Human-Like Mental Accounting and Behavioral Biases? Reject & resubmit at Marketing Science.
  3. Leng, Y., Sang, Y., & Agarwal, A. Reduce Preference Disparity Between LLMs and Humans: Calibration to Compose Human-like Ensembles.
  4. Leng, Y., Sowriraja, T., & Pentland, A. (2023). Interpretable Stochastic Block Influence Model: Measuring Social Influence Among Homophilous Communities . IEEE Transactions on Knowledge and Data Engineering.
  5. Cao, J. & Leng, Y. (equal contribution). Adaptive Acquisition Tree for Recommendations with Optimality Guarantees on Short-form Video Platforms. Minor revision at Management Science.
  6. Leng, Y. [Lead author], Liu, X., & Ruiz R. Interpretable Recommender System and Decision Support Using Geometric Deep Learning. Major revision at Information Systems Research.
  7. Cao, J. & Leng, Y. (equal contribution). Network-enabled Sequential Data Acquisition for High-dimensional Recommender Systems.
  8. Adjodah, D., Leng, Y., Chong, S. K., Krafft, P., & Pentland, A. (2021). Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions. Entropy.

Learning Network Structures from Behavioral Data

  1. Rossi E., Monti F., Leng, Y., Bronstein M. and Dong X. (2022). Learning to Infer Structure of Network Games. International Conference on Machine Learning (ICML).
  2. Leng, Y., Dong, X., Wu. J., & Pentland, A. (2020). Learning Quadratic Games on Networks. International Conference on Machine Learning (ICML).
  3. Leng, Y. , Chen, Y., Dong, X., Wu, J., & Shi., G. (2022). Social Interaction Leakages from Public Behavioral Data: A Diagnostic and Differential Privacy Framework .

Human Mobility and Smart Cities

  1. Leng, Y., Noriega, A., Pentland (2021). Tourism Event Analytics with Mobile Phone Data. ACM/IMS Transactions on Data Science.
  2. Leng, Y., Y. Zhai, S. Sun, Y. Wu, J. Selzer, S. Strover, H. Zhang, A. Chen, Y. Ding (2021). Misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements . IEEE Transactions on Big Data.
  3. Leng, Y., Koutsopoulos, H., & Zhao, J. (2021). Leveraging Individual and Collective Regularity to Profile and Segment User Locations from Mobile Phone Data . Forthcoming in ACM Transactions on Management Information Systems (TMIS).
  4. Leng, Y., Babwany N., & Pentland, A (2021). Unraveling the Association between Socioeconomic Diversity and Consumer Price Index in a Tourism Country. Nature Humanities and Social Sciences Communications.
  5. 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.
  6. 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.
  7. 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.