Recently, the National Bureau of Statistics announced the approval of the 2025 Major Statistical Special Projects. The project “Theory and Application of Population Statistics Integrating Sampling Surveys and Multi-Source Big Data,” led by Dr. Chen Lei from the team, was successfully approved.
The National Natural Science Foundation of China (NSFC) has recently announced the evaluation results of its 2025 project applications. Two Young Scientists Fund (Category C) projects from our team have been successfully awarded funding: “Clustering and Covariance Estimation of High-Dimensional Functional Time Series” led by Dr. Cheng Chen, and “Statistical Learning of Causal Chain Graph Models: Methods and Applications” led by Dr. Wei Zhou.
Recently, the Office of the National Postdoctoral Management Committee and the China Postdoctoral Science Foundation(CPSF) announced the evaluation results of the 2025 Postdoctoral Fellowship Program of CPSF. The project “Research on Sufficient Dimension Reduction Theory and Algorithms under Complex Data Conditions” led by postdoctoral fellow Shuang Dai has been approved for the Postdoctoral Fellowship Program of CPSF (Band C).
On July 2-3, 2025, the plenary session of the 14th committee of the All-China Youth Federation（ACYF） was held in Beijing. The session reviewed relevant work reports, discussed and amended the ACYF Constitution, and elected a new leading body for the federation. Prof. Jinyuan Chang was elected as a member of the 14th Committee of All-China Youth Federation.
The China Postdoctoral Science Foundation has recently announced the results of the 77th batch (2025) of its General Program funding review. Two projects led by our postdoctoral fellows have been successfully awarded funding.
The paper “Efficient Learning of DAG Structures in Heavy-tailed Data”, co-authored by Dr. Wei Zhou, Prof. Wei Zhong and doctoral student Xueqian Kang from Xiamen University, and Prof. Junhui Wang from The Chinese University of Hong Kong, has been officially accepted by Statistica Sinica.
The paper “Bayesian Penalized Empirical Likelihood and MCMC Sampling”, co-authored by Prof. Jinyuan Chang, Prof. Chengyong Tang of Temple University (USA), and postdoctoral researcher Yuanzheng Zhu, has been officially accepted by the Journal of the Royal Statistical Society: Series B, one of the most prestigious journals in the field of statistics.
The paper “Statistical Inference for High-Dimensional Spectral Density Matrix”, co-authored by Prof. Jinyuan Chang, Qing Jiang of Beijing Normal University at Zhuhai, Senior Statistical Analyst Tucker McElroy from the U.S. Census Bureau, and Prof. Xiaofeng Shao from Washington University in St. Louis, has been officially accepted by the Journal of the American Statistical Association, a leading journal in the field of statistics.
The paper “On the Modeling and Prediction of High-Dimensional Functional Time Series”, co-authored by Prof. Jinyuan Chang, Assistant Prof. Qin Fang from the University of Sydney, Prof. Xinghao Qiao from the University of Hong Kong, and Prof. Qiwei Yao from the London School of Economics and Political Science, has been officially accepted by the Journal of the American Statistical Association, one of the top journals in the field of statistics.