Zuofeng Shang

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 23

Top Topics

Parameters Estimation

Nearest Neighbor Classifier

Lossless Compression

Top Venues

J. Mach. Learn. Res.

Publications

Ruiqi Liu, Ganggang Xu, Zuofeng Shang
Distributed adaptive nearest neighbor classifier: algorithm and theory. Stat. Comput. 33 (5) (2023)
Dan Zhou, Ajim Uddin, Zuofeng Shang, Cheickna Sylla, Xinyuan Tao, Dantong Yu
A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation. ICAIF (2023)
Dan Zhou, Ajim Uddin, Zuofeng Shang, Cheickna Sylla, Dantong Yu
Core Matrix Regression and Prediction with Regularization. ICAIF (2022)
Shuoyang Wang, Guanqun Cao, Zuofeng Shang
Deep Neural Network Classifier for Multi-dimensional Functional Data. CoRR (2022)
Ruiqi Liu, Mingao Yuan, Zuofeng Shang
Online statistical inference for parameters estimation with linear-equality constraints. J. Multivar. Anal. 191 (2022)
Dan Zhou, Ajim Uddin, Xinyuan Tao, Zuofeng Shang, Dantong Yu
Temporal Bipartite Graph Neural Networks for Bond Prediction. ICAIF (2022)
Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks. CoRR (2021)
Ruiqi Liu, Mingao Yuan, Zuofeng Shang
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints. CoRR (2021)
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory. CoRR (2021)
Mingao Yuan, Zuofeng Shang
Heterogeneous Dense Subhypergraph Detection. CoRR (2021)
Mingao Yuan, Zuofeng Shang
Information Limits for Detecting a Subhypergraph. CoRR (2021)
Yun Yang, Zuofeng Shang, Guang Cheng
Non-asymptotic Analysis for Nonparametric Testing. COLT (2020)
Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. ICLR (2020)
Shuoyang Wang, Guanqun Cao, Zuofeng Shang
Estimation of the Mean Function of Functional Data via Deep Neural Networks. CoRR (2020)
Tianyang Hu, Zuofeng Shang, Guang Cheng
Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting. CoRR (2020)
Ruiqi Liu, Zuofeng Shang, Guang Cheng
On Deep Instrumental Variables Estimate. CoRR (2020)
Ruiqi Liu, Ben Boukai, Zuofeng Shang
Optimal Nonparametric Inference via Deep Neural Network. CoRR (2019)
Meimei Liu, Zuofeng Shang, Guang Cheng
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection. COLT (2019)
Zuofeng Shang, Botao Hao, Guang Cheng
Nonparametric Bayesian Aggregation for Massive Data. J. Mach. Learn. Res. 20 (2019)
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
Optimal Nonparametric Inference under Quantization. CoRR (2019)
Mingao Yuan, Yang Feng, Zuofeng Shang
A likelihood-ratio type test for stochastic block models with bounded degrees. CoRR (2018)
Ganggang Xu, Zuofeng Shang, Guang Cheng
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data. ICML (2018)
Zuofeng Shang, Guang Cheng
Computational Limits of A Distributed Algorithm for Smoothing Spline. J. Mach. Learn. Res. 18 (2017)
Michael S. Becker, Zuofeng Shang
Cosine Infinite Product: 11210. Am. Math. Mon. 114 (8) (2007)