Publications

Lu, X., Shi, L., Liu, H. and Ding, P. (2025+) Conditional cross-fitting for unbiased machine-learning-assisted covariate adjustment in randomized experiments.

Shi, L., Wang, J. and Ding, P. (2024) Forward selection and post-selection inference in factorial designs. Annals of Statistics. Accepted. [Slides]

Shi, L. and Li, X. (2024) Some theoretical foundations on the design and analysis of randomized experiments. Journal of Causal Inference. Accepted.

Shi, L. and Ding, P. (2022+) Berry–Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes. Annals of Statistics. Accepted. [Slides]

Shi, L., Lyu, Q. and Lu, S. (2025+) GAUGER: Generalized Regression Adjustment via GER for Design-Based Inference Under Interference.

Lu, S., Shi, L. and Ding, P. (2025+) Estimating within-cluster and between-cluster spillover effects in randomized saturation designs. [Slides]

Lu, S., Shi, L., Fang, Y., Zhang, W. and Ding, P. (2025+) Design-based causal inference in bipartite experiments. [Slides]

Shi, L., Lu, S., Lyu, Q., Ding, P., Vlassis, N. (2025+) TERRA: A Transformer-Enabled Recursive R-learner for Longitudinal Heterogeneous Treatment Effect Estimation.

Contextual Bandits with LLM-Derived Priors and Adaptive Calibration

Shi, L., Arbour, D., Addanki, R., Sinha, R., Feller, A. (2025+) Leveraging semantic similarity for experimentation with AI-generated treatments. NeurIPS 2025.

Shi, L., Wei, W. and Wang, J. (2024+) Using Surrogates in Covariate-adjusted Response-adaptive Randomized Experiments with Delayed Outcomes. NeurIPS 2024. [Slides]

Shi, L., Wang, J. and Wu, T. (2023) Statistical inference on multi-armed bandits with delayed feedback. ICML 2023.

Shi, L. and Ding, P. (2024+) Asymptotic theory for the quadratic assignment procedure. [Slides]

Shi, L., Wang, G. and Zou, C. (2024) Low-Rank Matrix Estimation in the Presence of Change-Points. Journal of Machine Learning Research. [Distinguished Student Paper Award Winner for ENAR 2023]

Cui, X., Shi, L., Zhong, W. and Zou, C. (2023) Robust high-dimensional low-rank matrix estimation: optimal rate and data-adaptive tuning. Journal of Machine Learning Research.

Shi, L. and Zou, C. (2020) Noisy Low Rank Matrix Completion Under General Bases. Stat.

Shi, L., Yang, H. and Xue, L. (2023+) Oracle Inequalities for Sparse Principal Component Analysis based on the Linear Manifold Approximation.

Lyu, Q., Wang, M. and Shi, L. (2025+) QUARK: Robust Retrieval under Non-Faithful Queries via Query-Anchored Aggregation.

Coordinated Responses Driving Innate Immune Activation, Antiviral Activity, and Tissue Inflammation Regulation Promote Early Reservoir Decay during Acute Treated HIV

Barbehenn, A., Shi, L., Shao, J., Hoh, R., Hartig, H.M., Pae, V., Sarvadhavabhatla, S., Donaire, S., Sheikhzadeh, C., Milush, J., Laird, G.M., et al. (2024) Rapid Biphasic Decay of Intact and Defective HIV DNA Reservoir During Acute Treated HIV Disease. Nature Communications. Accepted.

Shi, L., Pang, H., Chen, C., Zhu, J. (2024+) rdborrow: An R package for Causal Inference Incorporating External Controls in Randomized Trials with Longitudinal Outcomes. Journal of Biopharmaceutical Statistics. Accepted. [Slides]