Zuofeng Shang

26 papers A* 4Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary.
J. Mach. Learn. Res.
Tianyang Hu, Ruiqi Liu, Zuofeng Shang, Guang Cheng
2024 J jnl
Nonparametric Inference under B-bits Quantization.
J. Mach. Learn. Res.
Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2023 — conf
A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation.
ICAIF
Dan Zhou, Ajim Uddin, Zuofeng Shang, Cheickna Sylla, Xinyuan Tao, Dantong Yu
2023 J jnl
Distributed adaptive nearest neighbor classifier: algorithm and theory.
Stat. Comput.
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2022 — conf
Core Matrix Regression and Prediction with Regularization.
ICAIF
Dan Zhou, Ajim Uddin, Zuofeng Shang, Cheickna Sylla, Dantong Yu
2022 J jnl
Deep Neural Network Classifier for Multi-dimensional Functional Data.
CoRR
Shuoyang Wang, Guanqun Cao, Zuofeng Shang
2022 J jnl
Online statistical inference for parameters estimation with linear-equality constraints.
J. Multivar. Anal.
Ruiqi Liu, Mingao Yuan, Zuofeng Shang
2022 — conf
Temporal Bipartite Graph Neural Networks for Bond Prediction.
ICAIF
Dan Zhou, Ajim Uddin, Xinyuan Tao, Zuofeng Shang, Dantong Yu
2021 J jnl
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks.
CoRR
Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang
2021 J jnl
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory.
CoRR
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2021 J jnl
Heterogeneous Dense Subhypergraph Detection.
CoRR
Mingao Yuan, Zuofeng Shang
2021 J jnl
Information Limits for Detecting a Subhypergraph.
CoRR
Mingao Yuan, Zuofeng Shang
2021 J jnl
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints.
CoRR
Ruiqi Liu, Mingao Yuan, Zuofeng Shang
2020 J jnl
Estimation of the Mean Function of Functional Data via Deep Neural Networks.
CoRR
Shuoyang Wang, Guanqun Cao, Zuofeng Shang
2020 A* conf
Non-asymptotic Analysis for Nonparametric Testing.
COLT
Yun Yang, Zuofeng Shang, Guang Cheng
2020 J jnl
On Deep Instrumental Variables Estimate.
CoRR
Ruiqi Liu, Zuofeng Shang, Guang Cheng
2020 J jnl
Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting.
CoRR
Tianyang Hu, Zuofeng Shang, Guang Cheng
2020 A* conf
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks.
ICLR
Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu
2019 J jnl
Nonparametric Bayesian Aggregation for Massive Data.
J. Mach. Learn. Res.
Zuofeng Shang, Botao Hao, Guang Cheng
2019 J jnl
Optimal Nonparametric Inference under Quantization.
CoRR
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
2019 J jnl
Optimal Nonparametric Inference via Deep Neural Network.
CoRR
Ruiqi Liu, Ben Boukai, Zuofeng Shang
2019 A* conf
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection.
COLT
Meimei Liu, Zuofeng Shang, Guang Cheng
2018 J jnl
A likelihood-ratio type test for stochastic block models with bounded degrees.
CoRR
Mingao Yuan, Yang Feng, Zuofeng Shang
2018 A* conf
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data.
ICML
Ganggang Xu, Zuofeng Shang, Guang Cheng
2017 J jnl
Computational Limits of A Distributed Algorithm for Smoothing Spline.
J. Mach. Learn. Res.
Zuofeng Shang, Guang Cheng
2007 J jnl
Cosine Infinite Product: 11210.
Am. Math. Mon.
Michael S. Becker, Zuofeng Shang