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Journal Articles
- 2024
[j6]Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Nonparametric Inference under B-bits Quantization. J. Mach. Learn. Res. 25: 19:1-19:68 (2024)- 2023
- [j5]Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Distributed adaptive nearest neighbor classifier: algorithm and theory. Stat. Comput. 33(5): 96 (2023) - 2022
- [j4]Ruiqi Liu, Mingao Yuan, Zuofeng Shang:
Online statistical inference for parameters estimation with linear-equality constraints. J. Multivar. Anal. 191: 105017 (2022) - 2019
- [j3]Zuofeng Shang, Botao Hao, Guang Cheng:
Nonparametric Bayesian Aggregation for Massive Data. J. Mach. Learn. Res. 20: 140:1-140:81 (2019) - 2017
- [j2]Zuofeng Shang, Guang Cheng:
Computational Limits of A Distributed Algorithm for Smoothing Spline. J. Mach. Learn. Res. 18: 108:1-108:37 (2017) - 2007
- [j1]Michael S. Becker, Zuofeng Shang:
Cosine Infinite Product: 11210. Am. Math. Mon. 114(8): 749 (2007)
Conference and Workshop Papers
- 2023
- [c7]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: 409-417 - 2022
- [c6]Dan Zhou, Ajim Uddin, Zuofeng Shang, Cheickna Sylla, Dantong Yu:
Core Matrix Regression and Prediction with Regularization. ICAIF 2022: 291-299 - [c5]Dan Zhou, Ajim Uddin, Xinyuan Tao, Zuofeng Shang, Dantong Yu:
Temporal Bipartite Graph Neural Networks for Bond Prediction. ICAIF 2022: 308-316 - 2020
- [c4]Yun Yang, Zuofeng Shang, Guang Cheng:
Non-asymptotic Analysis for Nonparametric Testing. COLT 2020: 3709-3755 - [c3]Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu:
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. ICLR 2020 - 2019
- [c2]Meimei Liu, Zuofeng Shang, Guang Cheng:
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection. COLT 2019: 2175-2209 - 2018
- [c1]Ganggang Xu, Zuofeng Shang, Guang Cheng:
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data. ICML 2018: 5479-5487
Informal and Other Publications
- 2022
- [i12]Shuoyang Wang, Guanqun Cao, Zuofeng Shang:
Deep Neural Network Classifier for Multi-dimensional Functional Data. CoRR abs/2205.08592 (2022) - 2021
- [i11]Mingao Yuan, Zuofeng Shang:
Heterogeneous Dense Subhypergraph Detection. CoRR abs/2104.04047 (2021) - [i10]Mingao Yuan, Zuofeng Shang:
Information Limits for Detecting a Subhypergraph. CoRR abs/2105.02259 (2021) - [i9]Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory. CoRR abs/2105.09788 (2021) - [i8]Ruiqi Liu, Mingao Yuan, Zuofeng Shang:
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints. CoRR abs/2105.10315 (2021) - [i7]Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang:
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks. CoRR abs/2106.03591 (2021) - 2020
- [i6]Tianyang Hu, Zuofeng Shang, Guang Cheng:
Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting. CoRR abs/2001.06892 (2020) - [i5]Ruiqi Liu, Zuofeng Shang, Guang Cheng:
On Deep Instrumental Variables Estimate. CoRR abs/2004.14954 (2020) - [i4]Shuoyang Wang, Guanqun Cao, Zuofeng Shang:
Estimation of the Mean Function of Functional Data via Deep Neural Networks. CoRR abs/2012.04573 (2020) - 2019
- [i3]Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Optimal Nonparametric Inference under Quantization. CoRR abs/1901.08571 (2019) - [i2]Ruiqi Liu, Ben Boukai, Zuofeng Shang:
Optimal Nonparametric Inference via Deep Neural Network. CoRR abs/1902.01687 (2019) - 2018
- [i1]Mingao Yuan, Yang Feng, Zuofeng Shang:
A likelihood-ratio type test for stochastic block models with bounded degrees. CoRR abs/1807.04426 (2018)
Coauthor Index
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