Xuancheng Wang#, Ling Zhou# and Huazhen Lin* (2025).Deep regression learning with optimal loss function. Journal of the American Statistical Association, 120(550) 1305-1317.

Xianru Wang, Bin Liu*, Xinsheng Zhang and Yufeng Liu (2025). Efficient Multiple Change Point Detection and Localization for High Dimensional Quantile Regression with Heteroscedasticity. Journal of the American Statistical Association, 120(550) 976-989.

Tao Zou, Wei Lan*, Runze Li and Chih-Ling Tsai(2025). “Fixed and random covariance regression analyses,”The Annals of Statistics, 53(4) 1587–1612.

Chenlin Zhang#, Ling Zhou#, Bin Guo and Huazhen Lin*(2025) .Spatial effect detection regression for large scale spatio-temporal covariates. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 87, 872–890

Yaowu Liu* (2025). A simple and powerful method for large-scale composite null hypothesis testing with applications in mediation analysis, Biometrics, 81(1), ujaf011.

Jiujun He and Huazhen Lin* (2025). Olica:Efficient Structured Pruning of Large Language Models without Retraining. The International Conference on Machine Learning (ICML2025).

Dan Pu, Kuangnan Fang, Wei Lan, Jihai Yu and Qingzhao Zhang (2025). Reduced rank spatio-temporal models, Journal of Business & Economic Statistics, 43, 98-109.

Yingying Ma, Wei Lan, Chenlei Leng, Ting Li and Hansheng Wang (2025). “Supervised centrality via sparse network influence regression: An application to the 2021 Henan floods’ social network”.The Annals of Applied Statistics, 19 (2) 1734-1752.

Dongxue Zhang, Long Feng, Yujia Wu, Wei Lan and Jing Zhou (2025). Temporal network influence model with application to the COVID-19 population flow network, The Annals of Applied Statistics, 19(2)1382-1402.

Shoudao Wen, Li Liu, Jin Liu, Yi Li and Huazhen Lin* (2025). Factor-Assisted Learning of Ultrahigh-Dimensional Covariates with Distributed Functional and Scalar Mixtures with Applications to the Avon Longitudinal Study of Parents and Children. The Annals of Applied Statistics.19, 3, 2171–2192.

Qingzhi Zhong, Wei Liu, Li Liu, Hua Liang and Huazhen Lin*,(2025). Generalized functional feature regression models, Statistica Sinica, 35, 2259-2282

Jun Zhang, Wei Lan*, Xinyan Fan and Wen Chen (2025). Maximum Conditional Alpha Test for Conditional Multi-Factor Models, Statistica Sinica, 35, 2013-2032

Kai Xu, Mingxiang Cao, Qing Cheng* (2025). A bias-corrected Srivastava-type test for cross-sectional independence, Journal of Multivariate Analysis,205, 105371.

Kai Xu, Qing Cheng∗, Daojiang He (2025). med nonparametric dependence measures in high dimensions, fixed or large samples, Computational Statistics and Data Analysis, 205. 108109

Qing Cheng, Wenxin Xu, Chan Wang, Jin Liu*, Yanyan Zhao* (2025). RMR-ICP: robust Mendelian randomization method ccounting for idiosyncratic and correlated pleiotropy with applications to stroke outcomes, Briefings in Bioinformatics, 26(5), bbaf508

Wei Liu, Guizhen Li, Ling Zhou* and Lan Luo (2025). High-dimensional large-scale mixed-type data imputation under missing at random, SCIENCE CHINA Mathematics, 68(4) 969–1000.

Xun Zhao, Lu Tang, Weijia Zhang and Ling Zhou∗(2025). Subgroup learning for multiple mixed-type outcomes with block-structured covariates, Computational Statistics and Data Analysis, 204, 108105.

Yuanxing Chen, Kuangnan Fang, Wei Lan∗, Chih-Ling Tsai and Qingzhao Zhang (2025). Community influence analysis in social networks, Computational Statistics and Data Analysis, 202,108037.

Xun Zhao, Ling Zhou, Weijia Zhang and Huazhen Lin* (2025). Tensor Decomposition-assisted Multiview Subgroup Analysis. Acta Mathematica Sinica, English Series, 41, 588-618.

Senyuan Zheng and Ling Zhou*(2025). Inference for High-Dimensional Streamed Longitudinal Data, Acta Mathematica Sinica, English Series,41 (2), 757-779.

Bin Liu, Yu Liu, Zhiqian Li,Jianghong Xiao, Guosheng Yin and Huazhen Lin* (2025). Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), 2426- 2435.

Zhantao Cao, Yuanbing Shi,Shuli Zhang, Huanan Chen, Weide Liu*, Guanghui Yue* and Huazhen Lin* (2025). Decentralized learning for medical image classification with prototypical contrastive network, Medical Physics, 52(6):4188-4204.

Jiaolong Wang, Fode Zhang*, Hon Keung Tony Ng and Yimin Shi (2025). Remaining Useful Life Prediction via Information Enhanced Domain Adversarial Generalization, IEEE TRANSACTIONS ON RELIABILITY, 74(2)2837-2850

Qin Shu , Fode Zhang*,  Lijuan Shen and Hon Keung Tony Ng (2025). RUL Prediction With Cross-Domain Adaptation Based on Reproducing Kernel Hilbert Space, IEEE TRANSACTIONS ON RELIABILITY, 74(3)3871-3883

Min Hu, Zhizhong Tan, Bin Liu*, and Guosheng Yin(2025). Graph Portfolio: High-Frequency Factor Predictors via Heterogeneous Continual GNNs, IEEE Transactions on Knowledge and Data Engineering, 37(7)4104-4116

Zhizhong Tan, Siyang Liu, Qiang Liu, Min Hu, Xiang Zhang,Wenyong Wang and Bin Liu* (2025). Modeling ESG-driven industrial value chain dynamics using directed graph neural networks, Financial Innovation, 11, 113, 2025

Bin Liu, Haolong Li and Linshuang Kang (2025). Tangency Portfolios Using Graph Neural Networks. Neural Networks, 193, 108043

Liang Wu, Ruixi Hu* (2025). Yunwen Lei. Stability-based generalization analysis of randomized coordinate descent for pairwise learning. Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25), 21545-21553.