Legend: PUB Published Paper, WP Working Paper, M Management Outlet, CS Computer Science Outlet

Human-Centric Interpretability in Generative AI

  1. WP M Leng, Y. & Yuan, Y. Do LLM Agents Exhibit Social Behaviors?
    Major Revision at Information Systems Research.
  2. WP M Leng, Y. Can LLMs Mimic Human-Like Mental Accounting and Behavioral Biases?
    Reject & Resubmit at Marketing Science.
  3. WP M Leng, Y., Sang, Y., & Agarwal, A. Reduce Preference Disparity Between LLMs and Humans: Calibration to Compose Human-like Ensembles
    Major Revision at Marketing Science.
  4. WP M Sang, Y., Leng, Y., & Agarwal, A. User Perception Through LLM: A Theory-driven HyperGraph Framework for Marketing Content Generation
    Best Paper Award at the 2024 INFORMS Data Science Workshop.

Networks-Based Machine/Deep Learning

  1. PUB M Leng, Y. & Dimmery, D. (2024). Calibration of Heterogeneous Treatment Effect in Randomized Experiments
    Information Systems Research (2024).
  2. PUB M Cao, J. & Leng, Y. (equal contribution). Adaptive Acquisition Tree for Recommendations with Optimality Guarantees on Short-form Video Platforms
    Accepted by Management Science.
    Second prize in Data-Driven Research Challenge in INFORMS/Revenue Management & Pricing (2021)
  3. PUB CS Yu, X., Li, M., Leng, Y., & Liao, R. Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders
    International Conference on Machine Learning [ICML] (2024).
  4. WP M Wang, B., Leng, Y., Wang, G., Wang, Y. FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration
    Major Revision at Management Science.
  5. WP M Leng, Y., Liu, X., & Ruiz, R. Interpretable Recommendations and User-Centric Explanations with Geometric Deep Learning
    Major Revision at Information Systems Research.
  6. PUB CS Leng, Y., Sowrirajan, T., & Pentland, A. Interpretable Stochastic Block Influence Model: Measuring Social Influence Among Homophilous Communities
    IEEE Transactions on Knowledge and Data Engineering (2023) .
  7. PUB CS Rossi, E., Monti, F., Leng, Y., Bronstein, M., and Dong, X. Learning to Infer Structure of Network Games
    International Conference on Machine Learning [ICML] (2022).
  8. PUB CS Leng, Y., Dong, X., Wu, J., & Pentland, A. Learning Quadratic Games on Networks
    International Conference on Machine Learning [ICML] (2020).
  9. WP M Cao, J. & Leng, Y. (equal contribution). Learning to Optimize Data Quality for Crowdsourcing Labor Markets: A Human-Algorithm-Collaborative Framework
    INFORMS ISS Cluster Best Paper Award, 2021.

Network Spillovers and Dynamics

  1. PUB M Leng, Y., Dong, X., Moro, E., & Pentland, A. Long Range Social Influence in Phone Communication Networks on Offline Adoption Decisions
    Information Systems Research (2023).
  2. WP M Leng, Y. & Agarwal, A. Are Spatial Neighbors Complements or Substitutes? Discovering a Visits-based Local Market Structure
    Reject & Resubmit at Marketing Science.
  3. WP M Lera, S. & Leng, Y. (equal contribution) Beyond Pairwise Network Interactions: Implications for Information Centrality
    Major Revision at Information Systems Research.
  4. WP M Jeong, J., Chan, J., Leng, Y., & Guo, Y. The Role of Network Centrality in Predicting Work Performance
    Major Revision at Information Systems Research.