Zuofeng Shang
Associate Professor, Mathematical Sciences
210D Cullimore Hall (CULM)
Education
Ph.D.
; University of Wisconsin-Madison
; Statistics
; 2011
M.S. ; Nankai University ; Mathematics ; 2006
B.S. ; Nankai University ; Mathematics ; 2003
M.S. ; Nankai University ; Mathematics ; 2006
B.S. ; Nankai University ; Mathematics ; 2003
2025 Fall Courses
MATH 680 - ADVANCED STATISTICAL LEARNING
MATH 660 - INTRO TO STATISTICAL COMPUTING
MATH 660 - INTRO TO STATISTICAL COMPUTING
Past Courses
MATH 461: INTRODUCTION TO STATISTICAL COMPUTING WITH SAS AND R
MATH 478: STAT METHODS IN DATA SCI
MATH 660: INTRODUCTION TO STATISTICAL COMPUTING WITH SAS AND R
MATH 678: STAT METHODS IN DATA SCIENCE
MATH 678: STATISTICAL METHODS IN DATA SCIENCE
MATH 478: STAT METHODS IN DATA SCI
MATH 660: INTRODUCTION TO STATISTICAL COMPUTING WITH SAS AND R
MATH 678: STAT METHODS IN DATA SCIENCE
MATH 678: STATISTICAL METHODS IN DATA SCIENCE
Journal Article
Hu Sun, Zuofeng Shang, Yang Chen.
2026. "MATRIX AUTOREGRESSIVE MODEL WITH VECTOR TIME SERIES COVARIATES FOR SPATIOTEMPORAL DATA."
Statistica Sinica .
Tianyang Hu, Ruiqi Liu, Zuofeng Shang, Guang Cheng. 2025. "Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary." Journal of Machine Learning Research .
Meimei Liu, Zuofeng Shang, Yun Yang. 2025. "Scalable inference for Nonparametric Stochastic Approximation in Reproducing Kernel Hilbert Spaces." Annals of Statistics .
Jinhan Xie, Enze Shi, Peijun Sang, Zuofeng Shang, Bei Jiang, Linglong Kong. 2025. "Scalable Inference in Functional Linear Regression with Streaming Data." Annals of Statistics .
Mingao Yuan, Zuofeng Shang. 2025. "Information-theoretic Limits for Testing Community Structures in Weighted Networks." Electronic Journal of Statistics .
Tianyang Hu, Ruiqi Liu, Zuofeng Shang, Guang Cheng. 2025. "Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary." Journal of Machine Learning Research .
Meimei Liu, Zuofeng Shang, Yun Yang. 2025. "Scalable inference for Nonparametric Stochastic Approximation in Reproducing Kernel Hilbert Spaces." Annals of Statistics .
Jinhan Xie, Enze Shi, Peijun Sang, Zuofeng Shang, Bei Jiang, Linglong Kong. 2025. "Scalable Inference in Functional Linear Regression with Streaming Data." Annals of Statistics .
Mingao Yuan, Zuofeng Shang. 2025. "Information-theoretic Limits for Testing Community Structures in Weighted Networks." Electronic Journal of Statistics .
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Conference Proceeding
"A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation"
4th ACM International Conference on AI in Finance: ICAIF'23, November, 2023.
"A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation"
4th ACM International Conference on AI in Finance: ICAIF'23, November, 2023.
"Core Matrix Regression and Prediction with Regularization"
ACM, 2022.
"Temporal Bipartite Graph Neural Networks for Bond Prediction"
ACM, 2022.
"Temporal Bipartite Graph Neural Networks for Bond Prediction"
3th ACM International Conference on AI in Finance: ICAIF'22, November, 2022.
4th ACM International Conference on AI in Finance: ICAIF'23, November, 2023.
"A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation"
4th ACM International Conference on AI in Finance: ICAIF'23, November, 2023.
"Core Matrix Regression and Prediction with Regularization"
ACM, 2022.
"Temporal Bipartite Graph Neural Networks for Bond Prediction"
ACM, 2022.
"Temporal Bipartite Graph Neural Networks for Bond Prediction"
3th ACM International Conference on AI in Finance: ICAIF'22, November, 2022.
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