Forthcoming
  1. Xinyan Fan, Kuangnan Fang, Wei Lan* and Chih-Ling Tsai (2025). Network varying coefficient model, Journal of the American Statistical Association, In Press.

  2. Yaowu Liu & Tianying Wang, A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies, Journal of the American Statistical Association. Online

  3. Chenguang Duan, Yuling Jiao, Huazhen Lin*, Wensen Ma, Jerry Zhijian Yang (2025). Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees. 39th Conference on Neural Information Processing Systems (NeurIPS 2025).

  4. 江自豪, 刘伟, 周岭∗, 带有协变量完全随机缺失的高维线性回归,中国科学·数学,online

  5. Senlin Yuan, Xuerong Chen*, Yu Wu and Jianguo Sun, Integrative Quantile Regression Analysis of Heterogeneous Multisource Data with Privacy Preserving,Statistica Sinica, Online

  6. RUI SHE,Inference in Median ar Models with Nonstationary and Heavy-Tailed Heteroskedastic Noises,Econometric Theory, 0, 2025, 1–29.

  7. Rui She, Linlin Dai*, and Shiqing Ling,2025,Testing for Change-Points in Heavy-Tailed Time Series—A Winsorized CUSUM approach, JOURNAL OF BUSINESS & ECONOMIC STATISTICS,Online.

  8. Feifei Guo, Rui She* and Yaxing Yang,2025, Inference on Nonstationary Heavy-Tailed ar Processes Via Model Selection , JOURNAL OF TIME SERIES ANALYSIS.

  9. Guobin Fan, Yuheng Xie, Lingxiao Ma, Liang Wu*. 2025, The liquidity spillover effects among three major crude oil markets: WTI, Brent, and INE. Fluctuation and Noise Letters, Online.