Zhang, Y., Sun, Y., He, X., Zhang, J. and Wang, J. (2025+). On optimal tracking of structural changes in time-varying networks. Journal of Computational and Graphical Statistics, in press.
Bing, X., He, X. and Wang, C*. (2025+). Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression. ArXiv:2505.20022.
Ren, M., He, X. and Wang, J. (2025+). Local structural transfer learning of non-Gaussian DAG and its application to multi-source cancer gene regulatory networks. Submitted.
Wang, Y., Liu, C., He, X. and Wang, J. (2025+). Nonparametric learning of heterogeneous graphical model on network-linked data. Revision resubmitted to Journal of the American Statistical Association (Theory and Methods).
Wang, C*, Wang, C*, He, X. and Feng, X. (2025+). Transfer Learning for Kernel-based Regression. Acceptable after major revision in Journal of the American Statistical Association.
Ma, H., Sang, P., Feng, X., and Liu, X. (2025+). Robust mixed functional classifier with adaptive large margin loss. Journal of Multivariate Analysis to appear.
Bang Liu, Run Yang, and Fan Zhou. (2025+). Discussion of "LAMBDA: Large model based data agent". Journal of the American Statistical Association.
Zhang, Y., Zhu, Q., Si, Y. and Li, G. (2025+). Quantile Index Regression. Accepted by Statistica Sinica.
Zhu, Q., Li, W., Zhang, W. and Li, G. (2025+). Panel Quantile GARCH models under Homogeneity. Published online at Journal of Business & Economic Statistics.
Lei, C. and Zhu, Q. (2025+). On efficient estimation for Value-at-Risk via location-scale time series models. Accepted by Statistica Sinica.
Bi, J., Feng, X., and Liu, J. (2025). Conditional dependence learning with high-dimensional conditioning variables. SCIENCE CHINA Mathematics 68(8),1779-1806.
Cheng, C., Ma, H., Zhong, Y., Uhlemann, A., Feng, X., and Hu, J. (2025). Biomarker detection for disease classification in longitudinal microbiome data. The Annals of Applied Statistics 19(2),943-966.
Deng, Y*, He, X., and Lv, S. (2025). Efficient learning of nonparametric directed acyclic graph with statistical guarantee. Statistica Sinica, 35, 479-504.
Bing, X., He, X., Jin, D., and Zhang, Y. (2025). Optimal vintage factor analysis with deflation varimax. Annals of Statistics, 53(4), 1639-1666.
Su, H., Wei, J., Li, T., You, J., and Feng, X. (2025). Influence on Stock Market Yield from Perspective of Industry Heterogeneity. China Journal of Econometrics 5(2),333-361.
Feng, X., Gao, Y., Huang, J., Jiao, Y., and Liu, X. (2025). Relative entropy gradient sampler for unnormalized distributions. Journal of Computational and Graphical Statistics 34(1), 211-221.
Wang, C. and Qiu, Y. (2025). The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport. International Conference on Machine Learning (ICML 2025).
Qiu, Y., Gao, Q., and Wang, X. (2025). Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks. Journal of the American Statistical Association.
Yin, H., Qiu, Y., and Wang, X. (2025). Wasserstein Coreset via Sinkhorn Loss. Transactions on Machine Learning Research.
Xinmin Li,Hua Liang,Huihang LiuTingting Tong,Tian Xie (2025). Frequentist model averaging under a linear exponential loss, Statistics and Computing. Volume 35 , Issue 3 . 2025. PP 59-59.
Xiaojun Song and Zixin Yang (2025). “Unified Specification Tests in Partially Linear Quantile Regression Models”, Statistics & Probability Letters, 216, 110243.
Hu, Q. and Yang, L. (2025+). Statistical inference for functional data over multi-dimensional domain. Statistica Sinica, DOI: 10.5705/ss.202024.0344.
Cai, L. and Hu, Q.⋆(2025+). Simultaneous inference for the distribution of FPC scores of functional data. Statistica Sinica, DOI: 10.5705/ss.202023.0246.
Hu, Q. (2025). Testing relevant hypotheses in functional variance function via self-normalization. Scandinavian Journal of Statistics, 52(3), 1301–1329.
Hu, Q. and Li, J. (2025). Simultaneous inference for covariance function of next-generation functional data. Electronic Journal of Statistics, 19 (2) 3188 - 3232.
Cai, L. and Hu, Q.⋆(2025). From sparse to dense functional data: phase transitions from a simultaneous inference perspective. Statistics and Computing, 35, 146.
Cai, L. and Hu, Q.⋆(2025). Global inference and test of eigen-systems of image data over complicated domain. Journal of Computational and Graphical Statistics, 34(2), 729–745.
Zhiheng Zhang ✉ , Zichen Wang . NeurIPS, 2025. Online Experimental Design With Estimation–Regret Trade-off Under Network Interference.
Zichen Wang , Haoyang Hong ‡, Chuanhao Li, Haoxuan Li, Zhiheng Zhang ✉, Huazheng Wang. NeurIPS, 2025. Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference.
Xinyan Su , Zhiheng Zhang ✉ , Jiyan Qiu, Zhaojun Yue, Jun Li. NeurIPS, 2025. Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization.
Zhiheng Zhang, Haoxiang Wang, Haoxuan Li✉, Zhouchen Lin✉. ICML, 2025. Active Treatment Effect Estimation via Limited Samples.
Zhiheng Zhang ✉. INFORMS Journal on Optimization (IJO), 2025 (minor revision). Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming: Extended.
Xin Lu ✉, Yuhao Wang, Zhiheng Zhang (α–β order). Journal of the American Statistical Association (JASA), 2025 (major revision) Adjusting Auxiliary Variables Under Approximate Neighborhood Interference.
