Publications

Journal Publications

• Factor Analysis for Large Non-Stationary Panels with Endogenous Missingness and Applications to Causal Inference [slides]
  J. Duan*, M. Pelger*, R. Xiong*
  Management Science, accepted
  

• Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference [slides] [talk] [code]
  Z. Qu*, R. Xiong*, J. Liu*, G. Imbens
  Journal of Business & Economic Statistics, accepted
  

• Optimal Experimental Design for Staggered Rollouts [slides] [code]
  R. Xiong, S. Athey, M. Bayati, G. Imbens
  Management Science, 2024, 70(8), 5317-5336
  Finalist, MSOM Student Paper Competition, 2020
  

• Target PCA: Transfer Learning Large Dimensional Panel Data [slides]
  Internet Appendix
  J. Duan*, M. Pelger*, R. Xiong*
  Journal of Econometrics, 2024, 244(2), 105521
  

• Federated Causal Inference in Heterogeneous Observational Data [slides] [code] [lay abstract]
  R. Xiong, A. Koenecke, M. Powell, Z. Shen, J. T. Vogelstein, S. Athey
  Statistics in Medicine, 2023, 1–22, doi: 10.1002/sim.9868
  

• Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference [slides]
  Internet Appendix
  R. Xiong, M. Pelger
  Journal of Econometrics, 2023, 233(1), 271-301
  Honorable Mention, George Nicholson Student Paper Competition, 2019
  

• Interpretable Sparse Proximate Factors for Large Dimensions [slides]
  M. Pelger*, R. Xiong*
  Journal of Business & Economic Statistics, 2022, 40(4), 1642-1664
  

• State-Varying Factor Models of Large Dimensions [slides]
  Internet Appendix
  M. Pelger*, R. Xiong*
  Journal of Business & Economic Statistics, 2022, 40(3), 1315-1333
  

Refereed Conference Proceedings

• Two-Sided State-Space Models for Sequential Recommendation with Non-Random Multimodal Review Feedback
  Z. Pan, Z. Liang, R. Xiong
  Findings of EMNLP 2026
  

• Long-Context Demonstration Selection Using Grouped State Space Models
  Z. Zhang, Z. Zhang, R. Xiong, G. Cooperman, H. Zhang
  Findings of EMNLP 2026
  

• Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
  Z. Liang, Z. Pan, R. Xiong
  Findings of ACL 2026
  

• Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
  Z. Liang, Z. Pan, R. Xiong
  EMNLP 2025
  

• Higher-Order Causal Message Passing for Experimentation Under Unknown Interference
  M. Bayati*, Y. Luo*, W. Overman*, S. Shirani*, R. Xiong*
  NeurIPS 2024
  

• Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
  B. Li, A. Wu, R. Xiong, K. Kuang
  ICML 2024
  

• Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
  B. Li, H. Li, R. Xiong, A. Wu, F. Wu, K. Kuang
  ICML 2024
  

• Stable Estimation of Heterogeneous Treatment Effects
  A. Wu, K. Kuang, R. Xiong, B. Li, F. Wu
  ICML 2023
  

• Stable Prediction with Model Misspecification and Agnostic Distribution Shift
  K. Kuang, R. Xiong, P. Cui, S. Athey, B. Li
  AAAI 2020
  

• Stable Predictions across Unknown Environments
  K. Kuang, P. Cui, S. Athey, B. Li, R. Xiong
  KDD 2018 (oral)
  

Other Writings

• Deep Learning Stock Volatility with Google Domestic Trends
  R. Xiong, E. Nichols, Y. Shen