Cosine Infinite Product: 11210. - Michael S. Becker; Zuofeng Shang (Am. Math. Mon., 2007)

Computational Limits of A Distributed Algorithm for Smoothing Spline. - Zuofeng Shang; Guang Cheng 003 (J. Mach. Learn. Res., 2017)

Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data. - Ganggang Xu; Zuofeng Shang; Guang Cheng 003 (ICML, 2018)

A likelihood-ratio type test for stochastic block models with bounded degrees. - Mingao Yuan; Yang Feng 002; Zuofeng Shang (CoRR, 2018)

Sharp Theoretical Analysis for Nonparametric Testing under Random Projection. - Meimei Liu 002; Zuofeng Shang; Guang Cheng 003 (COLT, 2019)

Optimal Nonparametric Inference under Quantization. - Ruiqi Liu; Ganggang Xu; Zuofeng Shang (CoRR, 2019)

Optimal Nonparametric Inference via Deep Neural Network. - Ruiqi Liu; Ben Boukai; Zuofeng Shang (CoRR, 2019)

Nonparametric Bayesian Aggregation for Massive Data. - Zuofeng Shang; Botao Hao; Guang Cheng 003 (J. Mach. Learn. Res., 2019)

Non-asymptotic Analysis for Nonparametric Testing. - Yun Yang; Zuofeng Shang; Guang Cheng 003 (COLT, 2020)

Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. - Xin Xing; Long Sha; Pengyu Hong; Zuofeng Shang; Jun S. Liu (ICLR, 2020)

Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting. - Tianyang Hu; Zuofeng Shang; Guang Cheng 003 (CoRR, 2020)

On Deep Instrumental Variables Estimate. - Ruiqi Liu; Zuofeng Shang; Guang Cheng 003 (CoRR, 2020)

Estimation of the Mean Function of Functional Data via Deep Neural Networks. - Shuoyang Wang; Guanqun Cao; Zuofeng Shang (CoRR, 2020)

Heterogeneous Dense Subhypergraph Detection. - Mingao Yuan; Zuofeng Shang (CoRR, 2021)

Information Limits for Detecting a Subhypergraph. - Mingao Yuan; Zuofeng Shang (CoRR, 2021)

Calibrating multi-dimensional complex ODE from noisy data via deep neural networks. - Kexuan Li; Fangfang Wang; Ruiqi Liu; Fan Yang; Zuofeng Shang (CoRR, 2021)

Core Matrix Regression and Prediction with Regularization. - Dan Zhou; Ajim Uddin; Zuofeng Shang; Cheickna Sylla; Dantong Yu (ICAIF, 2022)

Temporal Bipartite Graph Neural Networks for Bond Prediction. - Dan Zhou; Ajim Uddin; Xinyuan Tao; Zuofeng Shang; Dantong Yu (ICAIF, 2022)

Deep Neural Network Classifier for Multi-dimensional Functional Data. - Shuoyang Wang; Guanqun Cao; Zuofeng Shang (CoRR, 2022)

Online statistical inference for parameters estimation with linear-equality constraints. - Ruiqi Liu; Mingao Yuan; Zuofeng Shang (J. Multivar. Anal., 2022)

A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation. - Dan Zhou; Ajim Uddin; Zuofeng Shang; Cheickna Sylla; Xinyuan Tao; Dantong Yu (ICAIF, 2023)

Distributed adaptive nearest neighbor classifier: algorithm and theory. - Ruiqi Liu; Ganggang Xu; Zuofeng Shang (Stat. Comput., 2023)

Nonparametric Inference under B-bits Quantization. - Kexuan Li; Ruiqi Liu; Ganggang Xu; Zuofeng Shang (J. Mach. Learn. Res., 2024)