Zuofeng Shang

According to our database, Zuofeng Shang authored at least 22 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Distributed adaptive nearest neighbor classifier: algorithm and theory.

Ruiqi Liu, Ganggang Xu, Zuofeng Shang

Stat. Comput., October, 2023

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

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

Online statistical inference for parameters estimation with linear-equality constraints.

Ruiqi Liu, Mingao Yuan, Zuofeng Shang

J. Multivar. Anal., 2022

Deep Neural Network Classifier for Multi-dimensional Functional Data.

Shuoyang Wang, Guanqun Cao, Zuofeng Shang

CoRR, 2022

Temporal Bipartite Graph Neural Networks for Bond Prediction.

Dan Zhou, Ajim Uddin, Xinyuan Tao, Zuofeng Shang, Dantong Yu

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Core Matrix Regression and Prediction with Regularization.

Dan Zhou, Ajim Uddin, Zuofeng Shang, Cheickna Sylla, Dantong Yu

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

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

Information Limits for Detecting a Subhypergraph.

Mingao Yuan, Zuofeng Shang

CoRR, 2021

Heterogeneous Dense Subhypergraph Detection.

Mingao Yuan, Zuofeng Shang

CoRR, 2021

2020

Estimation of the Mean Function of Functional Data via Deep Neural Networks.

Shuoyang Wang, Guanqun Cao, Zuofeng Shang

CoRR, 2020

On Deep Instrumental Variables Estimate.

Ruiqi Liu, Zuofeng Shang, Guang Cheng

CoRR, 2020

Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting.

Tianyang Hu, Zuofeng Shang, Guang Cheng

CoRR, 2020

Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks.

Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

Non-asymptotic Analysis for Nonparametric Testing.

Yun Yang, Zuofeng Shang, Guang Cheng

Proceedings of the Conference on Learning Theory, 2020

2019

Nonparametric Bayesian Aggregation for Massive Data.

Zuofeng Shang, Botao Hao, Guang Cheng

J. Mach. Learn. Res., 2019

Optimal Nonparametric Inference via Deep Neural Network.

Ruiqi Liu, Ben Boukai, Zuofeng Shang

CoRR, 2019

Optimal Nonparametric Inference under Quantization.

Ruiqi Liu, Ganggang Xu, Zuofeng Shang

CoRR, 2019

Sharp Theoretical Analysis for Nonparametric Testing under Random Projection.

Meimei Liu, Zuofeng Shang, Guang Cheng

Proceedings of the Conference on Learning Theory, 2019

2018

A likelihood-ratio type test for stochastic block models with bounded degrees.

Mingao Yuan, Yang Feng, Zuofeng Shang

CoRR, 2018

Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data.

Ganggang Xu, Zuofeng Shang, Guang Cheng

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Computational Limits of A Distributed Algorithm for Smoothing Spline.

Zuofeng Shang, Guang Cheng

J. Mach. Learn. Res., 2017

2007

Cosine Infinite Product: 11210.

Michael S. Becker, Zuofeng Shang

Am. Math. Mon., 2007