2024 ICML Spotlight Caixing Wang, Ziliang Shen* Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Paper ↗ Code ↗
2024 Statistica Sinica Hanteng Ma, Ziliang Shen*, Xingdong Feng, Xin Liu Sparsity Learning via Structured Functional Factor Augmentation Paper ↗
2026 Under review Shuyan Chen, Ziliang Shen*, Xin-Lei Wang CoLaDAG: Compositional Latent Log-ratio DAG Analysis of the Gut Microbiome under Silver Nanoparticle Exposure Paper ↗
2025 R&R · IEEE TIT Ziliang Shen*, Caixing Wang, Shaoli Wang, Yibo Yan High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference Paper ↗
2024 Under review Caixing Wang, Ziliang Shen*, Shaoli Wang, Xingdong Feng Estimation and Inference on Distributed High-Dimensional Quantile Regression: Double-Smoothing and Debiasing Paper ↗
Working paper In preparation Ziliang Shen*, Haochen Ye, Wen Shuai, Yamin Wang Survival-Guided Adaptive Action Pruning for Constrained Reinforcement Learning in Optimal Execution
Working paper In preparation Ziliang Shen*, Caixing Wang, Yibo Yan False Discovery Rate Control for Distributed High-Dimensional Quantile Regression