Rate My Professor Shuangzhe Liu

Liu's research specializations encompass distribution theory and its applications, financial, insurance, and environmental statistics and data analytics, as well as matrix differential calculus. With 184 research outputs, including 124 articles, his work has garnered over 3,000 citations on Google Scholar. Key publications include 'A shape-enhanced outlier-detection framework for regression tasks' (Xiong, Han, Ma, and Liu, 2026, Knowledge-Based Systems), 'Tri-SEM: A shape-aware robust regression method via chain-like segmentation and residual analysis' (Xiong, Han, Ma, and Liu, 2026, Pattern Recognition), 'Addressing the omitted variables problem in a three-equation linear system' (Xiong, Ma, and Liu, 2025, Journal of Statistical Computation and Simulation), 'Shrinkage estimation in geographically weighted regression with applications to digital platform pricing' (Yüzbaşı, Ahmed, and Liu, 2026, Spatial Statistics), and 'A saddle point-guided clustering algorithm for data with complex structure' (Huang, Jin, Zhuang, Ma, van de Velden, and Liu, 2025, Knowledge-Based Systems). He serves as a reviewer for more than 35 mathematics, statistics, econometrics, and other journals and as an associate editor for four international journals. Liu's contributions have advanced areas such as outlier detection, robust regression, model diagnostics, and multivariate statistical analysis, influencing statistical and econometric methodologies.