Zuofeng Shang | People

Ruiqi Liu, Xi Chen, Zuofeng Shang. 2027. "Statistical Inference with Stochastic Gradient Methods under \phi-mixing Data." Journal of the American Statistical Association.

Hu Sun, Zuofeng Shang, Yang Chen. 2026. "MATRIX AUTOREGRESSIVE MODEL WITH VECTOR TIME SERIES COVARIATES FOR SPATIOTEMPORAL DATA." Statistica Sinica.

Xin Xing, Zuofeng Shang, Hongyu Miao, Pang Du. 2026. "Model-free Multivariate Change Point Detection and Localization with Statistical Guarantee." Statistica Sinica.

Zuofeng Shang, Peijun Sang, Chong Jin. 2026. "Bootstrap Nonparametric Inference under Data Integration." Stat.

Mingao Yuan, Sharmin Hossain, Zuofeng Shang. 2026. "New Methods for Testing Community Structures in General Networks." Statistics and Computing.

Zuofeng Shang, Peijun Sang, Yang Feng, Chong Jin. 2026. "Variational Nonparametric Inference in Stochastic Block Models with Functional Covariates." Journal of the American Statistical Association.

Meimei Liu, Zuofeng Shang, Yun Yang. 2026. "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. 2026. "Scalable Inference in Functional Linear Regression with Streaming Data." Annals 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.

Mingao Yuan, Zuofeng Shang. 2025. "Information-theoretic Limits for Testing Community Structures in Weighted Networks." Electronic Journal of Statistics.

Zuofeng Shang, Zhen Zhang, Yang Feng. 2025. "Consistent Estimation of the Number of Communities in Nonuniform Hypergraph Model." Stat.

Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang. 2024. "Calibrating multi-dimensional complex ODE from noisy data via deep neural networks." Journal of Statistical Planning and Inference.

Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang. 2024. "Nonparametric Inference under B-bits Quantization." Journal of Machine Learning Research.

Mingao Yuan, Zuofeng Shang. 2024. "Heterogeneous Dense Subhypergraph Detection." Statistica Neerlandica.

Shuoyang Wang, Zuofeng Shang, Guanqun Cao, Jun Liu. 2024. "Optimal Classification for Functional Data." Statistica Sinica.

Mingao Yuan, Zuofeng Shang. 2024. "Statistical Limits for Testing Correlation of Random Hypergraphs." Latin American Journal of Probability and Mathematical Statistics .

Xin Xing, Zuofeng Shang, Pang Du, Ping Ma, Wenxuan Zhong, Jun S Liu. 2024. "Minimax Nonparametric Multi-sample Test under Smoothing." Statistica Sinica.

Shuoyang Wang, Guanqun Cao, Zuofeng Shang. 2023. "Deep Neural Network Classifier for Multi-dimensional Functional Data." Scandinavian Journal of Statistics.

Ruiqi Liu, Ganggang Xu, Zuofeng Shang. 2023. "Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory." Statistics and Computing.

Hewei Zhang, Qin Li, Yixin Yang, Ju Jing, Jason T. Wang, Haimin Wang, Zuofeng Shang. 2022. "Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods." ApJ, vol. 263, pp. 28.

Mingao Yuan, Yang Feng, Zuofeng Shang. 2022. "A likelihood-ratio type test for stochastic block models with bounded degrees." Journal of Statistical Planning and Inference.

Hewei Zhang, Qin Li, Yanxing Yang, Jing Ju, Jason Wang, Haimin Wang, Zuofeng Shang. 2022. "Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine Learning Methods." The Astrophysical Journal Supplement.

Shuoyang Wang, Zuofeng Shang. 2022. "Minimax Optimal High-Dimensional Classification using Deep Neural Networks." Stat.

Xiaotian Dai, Guifang Fu, Randall Reese, Shaofei Zhao, Zuofeng Shang. 2022. "An Approach of Bayesian Variable Selection for Ultrahigh Dimensional Multivariate Regression." STAT.

Ruiqi Liu, Mingao Yuan, Zuofeng Shang. 2022. " Online statistical inference for parameters estimation with linear-equality constraints   ." Journal of Multivariate Analysis   .

Shuoyang Wang, Guanqun Cao, Zuofeng Shang. 2021. "Estimation of the Mean Function of Functional Data via Deep Neural Networks." Stat.

Mingao Yuan, Fan Emily Yang, Zuofeng Shang. 2021. "Hypothesis Testing in Sparse Weighted Stochastic Block Model." Statistical Papers.

Mingao Yuan, Zuofeng Shang. 2021. "Information Limits for Detecting a Subhypergraph." STAT.

Mingao Yuan, Zuofeng Shang. 2021. "Sharp Detection Boundaries on Testing Dense Subhypergraph." Bernoulli.

Mingao Yuan, Ruiqi Liu, Yang Feng, Zuofeng Shang. 2021. "Testing Community Structures for Hypergraph Models." Annals of Statistics.

Ruiqi Liu, Ben Boukai, Zuofeng Shang. 2021. "Optimal Nonparametric Inference via Deep Neural Network." Journal of Mathematical Analysis and Applications.

Meimei Liu, Zuofeng Shang, Yun Yang, Guang Cheng. 2021. "Nonparametric Testing under Randomized Sketching." IEEE Transactions on Pattern Analysis and Machine Intelligence.

Meimei Liu, Zuofeng Shang, Guang Cheng. 2020. "Nonparametric Distributed Learning under Random Design." Electronic Journal of Statistics.

Ruiqi Liu, Zuofeng Shang, Yonghui Zhang, Qiankun Zhou. 2020. "Identification and estimation in panel models with overspecified number of groups." Journal of Econometrics.

Ganggang Xu, Zuofeng Shang, Guang Cheng. 2019. "Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimality." Journal of Computational and Graphical Statistics.

Zuofeng Shang, Botao Hao, Guang Cheng. 2019. "Nonparametric Bayesian Aggregation for Massive Data." Journal of Machine Learning Research.

Shunan Zhao, Ruiqi Liu, Zuofeng Shang. 2019. "Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method." Journal of Business & Economic Statistics .