Yaowu Liu and Tianying Wang(2026). A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies, Journal of the American Statistical Association. 121,553, 678–689.Jinyu Nie, liliu, Taobo Hu, Wei liu and Huazhen lin*(2026). Gmi: Group-level main effects and interactionsin high-dimensional data with applications topathway and interaction discovery in geneexpression analysis. The Annals of Applied Statistics. 20, 2, 1078–1098.Tianyi Zhu（学）, Dan Pu, Yingying Ma, Danyang Huang∗ and Wei Lan(2026). Reduced rank multivariate spatial autoregressive model for large-scale networks. Journal of Econometrics. 255.106247.Yujia Wu, Wei Lan*, Long Feng*, Chih-Ling Tsai (2026). A goodness-of-fit test for sparse networks, Journal of Econometrics. 257,106276.Senyuan Zheng#（学）, Yadong Lv#, Wenrui Cheng（学）, Ling Zhou*, Guangxian Li* and Huazhen Lin*(2026).A physics-informed statistical framework for predicting polymer degradation trajectories under sparse data condition. Polymer Degradation and Stability. 251,112254.Yifan Zhu（学）, Fode Zhang, Wenyu Chen, Zhe Cheng and Lijuan Shen(2026). Order-Preserving Kernel Contrastive Learning With Applications to Cross-Domain RUL Prediction, IEEE TRANSACTIONS ON RELIABILITY. 75,97-111.Bin Liu, Haolong Li and Linshuang Kang (2026). Tangency Portfolios Using Graph Neural Networks. Neural Networks. 193, 108043.Senlin Yuan, Xuerong Chen*, Yu Wu and Jianguo Sun(2026). Integrative Quantile Regression Analysis of Heterogeneous Multisource Data with Privacy Preserving. Statistica Sinica. 36, 977-998.Feifei Guo, Rui She* and Yaxing Yang(2026). Inference on Nonstationary Heavy-Tailed ar Processes Via Model Selection , JOURNAL OF TIME SERIES ANALYSIS. 47: 256–278Feng Shen*, Kexin Yang, Fanyin Zhou* and Wensha Zhang(2026). A hybrid multi-layered ensemble model based on heterogeneous information network for small and medium-sized enterprise default prediction. European Journal of Operational Research. 332,897-911.Zhe Cheng（学）, Wenyu Chen, Fode Zhang*, Dehuan Shen，Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating，Proceedings of the 43 st International Conference on Machine Learning（ICML2026）.Zhe Cheng（学）, Fode Zhang*,Yifan Zhu, Lingrui Wang, Jiaolong Wang，Domain Adaptation with Adaptive -Divergence: Tighter Variational Representation and Generalization Bounds，Proceedings of the 43 st International Conference on Machine Learning（ICML2026）.Jiaolong Wang（学）, Fode Zhang*, Lingrui Wang，Scalable and Stable Estimation of Amari -Divergence using Random Fourier Features，Proceedings of the 43 st International Conference on Machine Learning（ICML2026）.Mengtong Hu, Ziyang Gong（学）, Xu Shi, Ling Zhou, Peter Song*，Online Learning and Inference for Cox Proportional Hazards Model Using Renewable Sieve Estimation，Proceedings of the 43 st International Conference on Machine Learning（ICML2026）.
Yaowu Liu and Tianying Wang(2026). A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies, Journal of the American Statistical Association. 121,553, 678–689.
Jinyu Nie, liliu, Taobo Hu, Wei liu and Huazhen lin*(2026). Gmi: Group-level main effects and interactionsin high-dimensional data with applications topathway and interaction discovery in geneexpression analysis. The Annals of Applied Statistics. 20, 2, 1078–1098.
Tianyi Zhu（学）, Dan Pu, Yingying Ma, Danyang Huang∗ and Wei Lan(2026). Reduced rank multivariate spatial autoregressive model for large-scale networks. Journal of Econometrics. 255.106247.
Yujia Wu, Wei Lan*, Long Feng*, Chih-Ling Tsai (2026). A goodness-of-fit test for sparse networks, Journal of Econometrics. 257,106276.
Senyuan Zheng#（学）, Yadong Lv#, Wenrui Cheng（学）, Ling Zhou*, Guangxian Li* and Huazhen Lin*(2026).A physics-informed statistical framework for predicting polymer degradation trajectories under sparse data condition. Polymer Degradation and Stability. 251,112254.
Yifan Zhu（学）, Fode Zhang, Wenyu Chen, Zhe Cheng and Lijuan Shen(2026). Order-Preserving Kernel Contrastive Learning With Applications to Cross-Domain RUL Prediction, IEEE TRANSACTIONS ON RELIABILITY. 75,97-111.
Bin Liu, Haolong Li and Linshuang Kang (2026). Tangency Portfolios Using Graph Neural Networks. Neural Networks. 193, 108043.
Senlin Yuan, Xuerong Chen*, Yu Wu and Jianguo Sun(2026). Integrative Quantile Regression Analysis of Heterogeneous Multisource Data with Privacy Preserving. Statistica Sinica. 36, 977-998.
Feifei Guo, Rui She* and Yaxing Yang(2026). Inference on Nonstationary Heavy-Tailed ar Processes Via Model Selection , JOURNAL OF TIME SERIES ANALYSIS. 47: 256–278
Feng Shen*, Kexin Yang, Fanyin Zhou* and Wensha Zhang(2026). A hybrid multi-layered ensemble model based on heterogeneous information network for small and medium-sized enterprise default prediction. European Journal of Operational Research. 332,897-911.
Zhe Cheng（学）, Wenyu Chen, Fode Zhang*, Dehuan Shen，Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating，Proceedings of the 43 st International Conference on Machine Learning（ICML2026）.
Zhe Cheng（学）, Fode Zhang*,Yifan Zhu, Lingrui Wang, Jiaolong Wang，Domain Adaptation with Adaptive -Divergence: Tighter Variational Representation and Generalization Bounds，Proceedings of the 43 st International Conference on Machine Learning（ICML2026）.
Jiaolong Wang（学）, Fode Zhang*, Lingrui Wang，Scalable and Stable Estimation of Amari -Divergence using Random Fourier Features，Proceedings of the 43 st International Conference on Machine Learning（ICML2026）.
Mengtong Hu, Ziyang Gong（学）, Xu Shi, Ling Zhou, Peter Song*，Online Learning and Inference for Cox Proportional Hazards Model Using Renewable Sieve Estimation，Proceedings of the 43 st International Conference on Machine Learning（ICML2026）.
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