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ORCIDYuhong Yang 0002
Person information
- affiliation: University of Minnesota, School of Statistics, Minnesota, MN, USA
- affiliation (PhD 1996): Yale University, New Haven, CT, USA
Other persons with the same name
- Yuhong Yang 0001
![[0000-0003-3001-7957]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3001-7957")
— Wuhan University, School of Computer Science, National Engineering Research Center for Multimedia Software, China - Yuhong Yang 0003 — Jilin University of Finance and Economics, School of Applied Mathematics, Changchun, China
- Yuhong Yang 0004 — Shanghai Jiaotong University, China
- Yuhong Yang 0005 — University of Siegen, Center for Sensor Systems, Germany
- Yuhong Yang 0006 — Yunnan Academy of Tobacco Agricultural Sciences, Kunming, China
- Yuhong Yang 0007 (aka: Yuhong (Alisha) Yang) — Sun Life Financial Inc.
- Yuhong Yang 0008 — Tsinghua University, BNRist, Beijing, China
- Yuhong Yang 0009 — Tianjin University of Technology, College of Science, China
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2020 – today
- 2024
[i9]Jiawei Zhang, Yuhong Yang, Jie Ding:
Additive-Effect Assisted Learning. CoRR abs/2405.08235 (2024)- [i8]Jin Du, Xinhe Zhang, Hao Shen, Xun Xian, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Na Li, Jia Liu, Jie Ding:
Drift to Remember. CoRR abs/2409.13997 (2024) - 2023
- [j16]Cunjie Lin, Jingfu Peng, Yichen Qin, Yang Li, Yuhong Yang:
Optimal Integrating Learning for Split Questionnaire Design Type Data. J. Comput. Graph. Stat. 32(3): 1009-1023 (2023) - [j15]Ze Chen, Jun Liao, Wangli Xu, Yuhong Yang:
Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models. J. Comput. Graph. Stat. 32(4): 1649-1659 (2023) - [c6]Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh:
Pruning Deep Neural Networks from a Sparsity Perspective. ICLR 2023 - [i7]Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh:
Pruning Deep Neural Networks from a Sparsity Perspective. CoRR abs/2302.05601 (2023) - 2022
- [j14]Zishu Zhan, Yuhong Yang:
Profile electoral college cross-validation. Inf. Sci. 586: 24-40 (2022) - [j13]Xinran Wang, Jiawei Zhang, Mingyi Hong, Yuhong Yang, Jie Ding:
Parallel Assisted Learning. IEEE Trans. Signal Process. 70: 5848-5858 (2022) - [i6]Wenjing Yang, Ganghua Wang, Enmao Diao, Vahid Tarokh, Jie Ding, Yuhong Yang:
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation. CoRR abs/2206.05604 (2022) - 2021
- [j12]Yongli Zhang, Craig Rolling, Yuhong Yang:
Estimating and forecasting dynamic correlation matrices: A nonlinear common factor approach. J. Multivar. Anal. 183: 104710 (2021) - [c5]Wenjing Yang, Yuhong Yang:
A Stabilized Dense Network Approach for High-Dimensional Prediction. IJCNN 2021: 1-8 - [i5]Jiawei Zhang, Jie Ding, Yuhong Yang:
Targeted Cross-Validation. CoRR abs/2109.06949 (2021) - 2020
- [c4]Wenjing Yang, Zhantao Cao, Qin Chen, Yuhong Yang, Guowu Yang:
Confidence Calibration on Multiclass Classification in Medical Imaging. ICDM 2020: 1364-1369 - [i4]Sakshi Arya, Yuhong Yang:
To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation. CoRR abs/2005.13078 (2020)
2010 – 2019
- 2019
- [j11]Chenglong Ye, Yuhong Yang:
High-Dimensional Adaptive Minimax Sparse Estimation With Interactions. IEEE Trans. Inf. Theory 65(9): 5367-5379 (2019) - [i3]Sakshi Arya, Yuhong Yang:
Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards. CoRR abs/1902.00819 (2019) - [i2]Jiawei Zhang, Jie Ding, Yuhong Yang:
A Binary Regression Adaptive Goodness-of-fit Test (BAGofT). CoRR abs/1911.03063 (2019) - 2018
- [j10]Jie Ding, Vahid Tarokh, Yuhong Yang:
Model Selection Techniques: An Overview. IEEE Signal Process. Mag. 35(6): 16-34 (2018) - [i1]Jie Ding, Vahid Tarokh, Yuhong Yang:
Model Selection Techniques - An Overview. CoRR abs/1810.09583 (2018) - 2017
- [c3]Fengmao Lv, Guowu Yang, Jinzhao Wu, Chuan Liu, Yuhong Yang:
Anomaly Detection for Categorical Observations Using Latent Gaussian Process. ICONIP (5) 2017: 285-296 - 2016
- [j9]Wei Qian, Yuhong Yang:
Kernel Estimation and Model Combination in A Bandit Problem with Covariates. J. Mach. Learn. Res. 17: 149:1-149:37 (2016) - 2015
- [j8]Xiaoyi Zhu, Yuhong Yang:
Variable selection after screening: with or without data splitting? Comput. Stat. 30(1): 191-203 (2015) - 2014
- [j7]Zhan Wang, Sandra Paterlini, Fuchang Gao, Yuhong Yang:
Adaptive minimax regression estimation over sparse lq-hulls. J. Mach. Learn. Res. 15(1): 1675-1711 (2014) - 2013
- [j6]Fuchang Gao, Ching-Kang Ing, Yuhong Yang:
Metric entropy and sparse linear approximation of lq-hulls for 0<q≤1. J. Approx. Theory 166: 42-55 (2013) - 2012
- [c2]Wei Qian, Yuhong Yang:
Randomized allocation with dimension reduction in a bandit problem with covariates. FSKD 2012: 1537-1541
2000 – 2009
- 2007
- [c1]Yuhong Yang:
How Powerful Can Any Regression Learning Procedure Be?. AISTATS 2007: 636-643 - 2001
- [j5]Yuhong Yang:
Minimax rate adaptive estimation over continuous hyper-parameters. IEEE Trans. Inf. Theory 47(5): 2081-2085 (2001) - 2000
- [j4]Yuhong Yang:
Comment on "Finite sample performance guarantees of fusers for function estimators" [Information Fusion 1: 35-44 (2000)]. Inf. Fusion 1(2): 99-100 (2000)
1990 – 1999
- 1999
- [j3]Yuhong Yang:
Minimax nonparametric classification - Part I: Rates of convergence. IEEE Trans. Inf. Theory 45(7): 2271-2284 (1999) - [j2]Yuhong Yang:
Minimax nonparametric classification - Part II: Model selection for adaptation. IEEE Trans. Inf. Theory 45(7): 2285-2292 (1999) - 1998
- [j1]Yuhong Yang, Andrew R. Barron:
An Asymptotic Property of Model Selection Criteria. IEEE Trans. Inf. Theory 44(1): 95-116 (1998)
Coauthor Index
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