Song Xi Chen's research group is focused on Statistical inference for ultra-high-dimensional data, high-resolution data assimilation, mathematical geophysics, statistical methods for climate change, applications in Air Quality Assessment in China, econometrics, and demography.
Wu Su, He Li and co-authors: physics-guided multi-source data fusion for...
The work proposes a physics-guided multi-source data fusion framework that reconstructs the three-dimensional current field of a mesoscale eddy in near real time, and applies it to...
2026-09-28 22:03
Research by Shouxia Wang et al. on Dynamic Synthetic Control for Semipar...
The study develops a dynamic synthetic control method accommodating nonlinear relationships that vary over time. It applies the method to evaluate emission-reduction measures durin...
2026-09-15 22:47
Research by Hao-Xuan Sun et al. on the Localization Estimation for High-...
The paper addresses covariance matrix estimation for high-dimensional tensor data, proposes a multi-bandable covariance class and a localization estimator, and establishes the asso...
2026-09-07 13:55
Research by Pei Feng Tong et al. on the Intelligent EEG Analysis Platfor...
This study proposed a seizure detection algorithm based on multimodal signals and multiscale feature extraction, significantly improving the accuracy and generalizability of seizur...
2026-07-21 10:34
Research Areas
Air Quality Assessment
Develop statistical methods to measure the effectiveness of the air pollution mitigation strategies based on objective air quality measures that remov...
High Dimensional Statistical Inference
Development methods applicable to a new norm of data: the dimension of the data is much larger than the number of sample points as commonly encountere...
Empirical Likelihood
Empirical likelihood is the core method of traditional statistics, and maximum likelihood estimation and likelihood ratio test are the basic methods o...
COVID-19
On Jan 23, 2020-The day when the 76-day lockdown began in Wuhan, Professor Chen organized a team aiming at fighting against this global pandemic. Sin...
Neural Science
Analyzing EEG, MRI and CT data with statistical methods and deep learning techniques to tackle the key scientific challenges in diagnosing and treatin...