• Cai, Z., Fan, Y. and Gao, L. (2025). Knockoffs Inference under Privacy Constraints. Manuscript.

• Fan, Y., Gao, L., Lv, J. and Xu, X. (2025). Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient? Manuscript. [PDF] 

• Chen, E., Chen, X., Gao, L and Li, J. (2024). Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models. Manuscript. [PDF] 

• Fan, Y., Gao, L. and Lv, J. (2024).  ARK: Robust Knockoffs Inference with Coupling. The Annals of Statistics, to appear. [PDF] 

• Demirkaya, E. Fan, Y., Gao, L., Lv, J., Vossler, P. and Wang, J. (2024). Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors. JASA-Theory & Methods, 119(545), 297-307. [PDF] 

• Gao, L., Shao, Q.-M. and Shi, J. (2022). Refined Cramér type moderate deviation theorems for general self-normalized sums with applications to dependent random variables and winsorized mean.  The Annals of Statistics, 50(2), 673-697. [PDF] 

• Gao, L., Fan, Y., Lv, J. and Shao, Q.-M. (2021). Asymptotic distributions of high-dimensional distance correlation inference. The Annals of Statistics, 49(4), 1999-2020.  [PDF] 

• Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient? 

Seminar (online), International Seminar on Selective Inference, March 2025. 

• ARK: Robust Knockoffs Inference with Coupling

Invited talk, 2025 SEEDS Conference, USC, Los Angeles, January 2025.

• ARK: Robust Knockoffs Inference with Coupling

Seminar, Department of Statistics, Michigan State University, October 2024.  

• ARK: Robust Knockoffs Inference with Coupling

Seminar, Stewart School of Industrial and Systems Engineering, Georgia Tech, September 2024.

• ARK: Robust Knockoffs Inference with Coupling

Invited talk, 2024 International Conference on Frontiers of Data Science, Hangzhou, China, July 2024.

• ARK: Robust Knockoffs Inference with Coupling

Invited talk, 2024 IMS-China, Yinchuan, China, July 2024.

• ARK: Robust Knockoffs Inference with Coupling

Invited talk, 2024 WNAR, Fort Collins, US, June 2024.

• ARK: Robust Knockoffs Inference with Coupling

Invited talk, CMStatistics 2023, Berlin, Germany, December 2023.

• ARK: Robust Knockoffs Inference with Coupling

Invited talk, BIRS-IASM Workshop, Hangzhou, China, December 2023.

• ARK: Robust Knockoffs Inference with Coupling

Invited talk, Symposium on Data Science and Risk Analytics 2023, Hong Kong, December 2023

• Thompson Sampling with Discrete Prior

Contributed talk, Informs 2023, Phoenix, USA, October 2023.

• Optimal Nonparametric inference with Two-Scale Distributional Nearest Neighbors

Invited talk, Ecosta 2023,  Tokyo, Japan, August 2023.

• Optimal Nonparametric inference with Two-Scale Distributional Nearest Neighbors

Invited talk, 2023 ICSA Applied Statistics Symposium, Ann Arbor, USA, June 2023.

• Optimal Nonparametric inference with Two-Scale Distributional Nearest Neighbors

Invited talk, CMStatistics 2022, London, UK, December 2022.

• High-dimensional Distance Correlation Inference

Decision Science Seminar Series, Fuqua School of Business, Duke University, September 2022

• Asymptotic Distributions of High-dimensional Distance Correlation Inference

Invited talk (topic-contributed session), 2021 Joint Statistical Meetings (virtual), August 2021.

• Nonparametric Inference of Heterogeneous Treatment Effects with Two-Scale Distributional Nearest Neighbors

       Invited talk, 4th International Conference on Econometrics and Statistics (EcoSta 2021, virtual), June 2021.

• Cramér Type Moderate Deviation Theorems for Studentized Trimmed Mean 

Invited talk, 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting, Singapore, June 2018.

• On Approximation of Studentized Sample Quantile 

Invited talk, 6th IMS-China International Conference on Statistics and Probability, Nanning, China, June 2017.