Shang, Zuofeng

8 publications

JMLR 2025 Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary Tianyang Hu, Ruiqi Liu, Zuofeng Shang, Guang Cheng

JMLR 2024 Nonparametric Inference Under B-Bits Quantization Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang

COLT 2020 Non-Asymptotic Analysis for Nonparametric Testing Yun Yang, Zuofeng Shang, Guang Cheng

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

JMLR 2019 Nonparametric Bayesian Aggregation for Massive Data Zuofeng Shang, Botao Hao, Guang Cheng

COLT 2019 Sharp Theoretical Analysis for Nonparametric Testing Under Random Projection Meimei Liu, Zuofeng Shang, Guang Cheng

ICML 2018 Optimal Tuning for Divide-and-Conquer Kernel Ridge Regression with Massive Data Ganggang Xu, Zuofeng Shang, Guang Cheng

JMLR 2017 Computational Limits of a Distributed Algorithm for Smoothing Spline Zuofeng Shang, Guang Cheng