Compact space-like hypersurfaces in de Sitter space. - Jinchi Lv (Int. J. Math. Math. Sci., 2005)

Nonconcave Penalized Likelihood With NP-Dimensionality. - Jianqing Fan; Jinchi Lv (IEEE Trans. Inf. Theory, 2011)

Estimating and testing high-dimensional mediation effects in epigenetic studies. - Haixiang Zhang; Yinan Zheng; Zhou Zhang 002; Tao Gao; Brian Joyce; Grace Yoon; Wei Zhang 253; Joel Schwartz; Allan C. Just; Elena Colicino; Pantel Vokonas; Lihui Zhao; et al. (Bioinform., 2016)

The Constrained Dantzig Selector with Enhanced Consistency. - Yinfei Kong; Zemin Zheng; Jinchi Lv (J. Mach. Learn. Res., 2016)

DeepPINK: reproducible feature selection in deep neural networks. - Yang Young Lu; Yingying Fan; Jinchi Lv; William Stafford Noble (NeurIPS, 2018)

DNN: A Two-Scale Distributional Tale of Heterogeneous Treatment Effect Inference. - Yingying Fan; Jinchi Lv; Jingbo Wang (CoRR, 2018)

IPAD: Stable Interpretable Forecasting with Knockoffs Inference. - Yingying Fan; Jinchi Lv; Mahrad Sharifvaghefi; Yoshimasa Uematsu (CoRR, 2018)

Nonuniformity of P-values Can Occur Early in Diverging Dimensions. - Yingying Fan; Emre Demirkaya; Jinchi Lv (J. Mach. Learn. Res., 2019)

Scalable Interpretable Multi-Response Regression via SEED. - Zemin Zheng; Mohammad Taha Bahadori; Yan Liu 002; Jinchi Lv (J. Mach. Learn. Res., 2019)

SOFAR: Large-Scale Association Network Learning. - Yoshimasa Uematsu; Yingying Fan; Kun Chen 002; Jinchi Lv; Wei Lin 020 (IEEE Trans. Inf. Theory, 2019)

Dimension-Free Average Treatment Effect Inference with Deep Neural Networks. - Xinze Du; Yingying Fan; Jinchi Lv; Tianshu Sun; Patrick Vossler (CoRR, 2021)

Nonsparse Learning with Latent Variables. - Zemin Zheng; Jinchi Lv; Wei Lin 020 (Oper. Res., 2021)

Not Registered? Please Sign Up First: A Randomized Field Experiment on the Ex Ante Registration Request. - Ni Huang 001; Probal Mojumder; Tianshu Sun; Jinchi Lv; Joseph M. Golden (Inf. Syst. Res., 2021)

FACT: High-Dimensional Random Forests Inference. - Chien-Ming Chi; Yingying Fan; Jinchi Lv (CoRR, 2022)

SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals. - Jianqing Fan; Yingying Fan; Jinchi Lv; Fan Yang (CoRR, 2022)

DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM. - Wenxuan Zuo; Zifan Zhu; Yuxuan Du; Yi-Chun Yeh; Jed A. Fuhrman; Jinchi Lv; Yingying Fan; Fengzhu Sun (CoRR, 2024)

Exogenous Randomness Empowering Random Forests. - Tianxing Mei; Yingying Fan; Jinchi Lv (CoRR, 2024)

HNCI: High-Dimensional Network Causal Inference. - Wenqin Du; Rundong Ding; Yingying Fan; Jinchi Lv (CoRR, 2024)

Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient? - Yingying Fan; Lan Gao; Jinchi Lv; Xiaocong Xu (CoRR, 2025)

Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices. - Jianqing Fan; Yingying Fan; Jinchi Lv; Fan Yang; Diwen Yu (CoRR, 2025)

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses. - Zemin Zheng; Xin Zhou; Jinchi Lv (CoRR, 2025)

LLM-Powered CPI Prediction Inference with Online Text Time Series. - Yingying Fan; Jinchi Lv; Ao Sun; Yurou Wang (CoRR, 2025)