An Asymptotic Property of Model Selection Criteria. - Yuhong Yang 002; Andrew R. Barron (IEEE Trans. Inf. Theory, 1998)

Minimax nonparametric classification - Part I: Rates of convergence. - Yuhong Yang 002 (IEEE Trans. Inf. Theory, 1999)

Minimax nonparametric classification - Part II: Model selection for adaptation. - Yuhong Yang 002 (IEEE Trans. Inf. Theory, 1999)

Comment on "Finite sample performance guarantees of fusers for function estimators" [Information Fusion 1: 35-44 (2000)]. - Yuhong Yang 002 (Inf. Fusion, 2000)

Minimax rate adaptive estimation over continuous hyper-parameters. - Yuhong Yang 002 (IEEE Trans. Inf. Theory, 2001)

How Powerful Can Any Regression Learning Procedure Be?. - Yuhong Yang 002 (AISTATS, 2007)

Randomized allocation with dimension reduction in a bandit problem with covariates. - Wei Qian; Yuhong Yang 002 (FSKD, 2012)

Metric entropy and sparse linear approximation of lq-hulls for 0<q≤1. - Fuchang Gao; Ching-Kang Ing; Yuhong Yang 002 (J. Approx. Theory, 2013)

Adaptive minimax regression estimation over sparse lq-hulls. - Zhan Wang; Sandra Paterlini; Fuchang Gao; Yuhong Yang 002 (J. Mach. Learn. Res., 2014)

Variable selection after screening: with or without data splitting? - Xiaoyi Zhu; Yuhong Yang 002 (Comput. Stat., 2015)

Kernel Estimation and Model Combination in A Bandit Problem with Covariates. - Wei Qian; Yuhong Yang 002 (J. Mach. Learn. Res., 2016)

Anomaly Detection for Categorical Observations Using Latent Gaussian Process. - Fengmao Lv; Guowu Yang; Jinzhao Wu; Chuan Liu; Yuhong Yang 002 (ICONIP (5), 2017)

Model Selection Techniques: An Overview. - Jie Ding 002; Vahid Tarokh; Yuhong Yang 002 (IEEE Signal Process. Mag., 2018)

Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards. - Sakshi Arya; Yuhong Yang 002 (CoRR, 2019)

A Binary Regression Adaptive Goodness-of-fit Test (BAGofT). - Jiawei Zhang 007; Jie Ding 002; Yuhong Yang 002 (CoRR, 2019)

High-Dimensional Adaptive Minimax Sparse Estimation With Interactions. - Chenglong Ye; Yuhong Yang 002 (IEEE Trans. Inf. Theory, 2019)

Confidence Calibration on Multiclass Classification in Medical Imaging. - Wenjing Yang 003; Zhantao Cao; Qin Chen; Yuhong Yang 002; Guowu Yang (ICDM, 2020)

To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation. - Sakshi Arya; Yuhong Yang 002 (CoRR, 2020)

A Stabilized Dense Network Approach for High-Dimensional Prediction. - Wenjing Yang 003; Yuhong Yang 002 (IJCNN, 2021)

Targeted Cross-Validation. - Jiawei Zhang 007; Jie Ding 002; Yuhong Yang 002 (CoRR, 2021)

Estimating and forecasting dynamic correlation matrices: A nonlinear common factor approach. - Yongli Zhang; Craig Rolling; Yuhong Yang 002 (J. Multivar. Anal., 2021)

A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation. - Wenjing Yang 003; Ganghua Wang; Enmao Diao; Vahid Tarokh; Jie Ding 002; Yuhong Yang 002 (CoRR, 2022)

Profile electoral college cross-validation. - Zishu Zhan; Yuhong Yang 002 (Inf. Sci., 2022)

Parallel Assisted Learning. - Xinran Wang; Jiawei Zhang 007; Mingyi Hong 001; Yuhong Yang 002; Jie Ding 002 (IEEE Trans. Signal Process., 2022)

Pruning Deep Neural Networks from a Sparsity Perspective. - Enmao Diao; Ganghua Wang; Jiawei Zhang 007; Yuhong Yang 002; Jie Ding 002; Vahid Tarokh (ICLR, 2023)

Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models. - Ze Chen; Jun Liao; Wangli Xu; Yuhong Yang 002 (J. Comput. Graph. Stat., 2023)

Optimal Integrating Learning for Split Questionnaire Design Type Data. - Cunjie Lin; Jingfu Peng; Yichen Qin; Yang Li; Yuhong Yang 002 (J. Comput. Graph. Stat., 2023)

Additive-Effect Assisted Learning. - Jiawei Zhang 007; Yuhong Yang 002; Jie Ding 002 (CoRR, 2024)

Drift to Remember. - Jin Du; Xinhe Zhang; Hao Shen; Xun Xian; Ganghua Wang; Jiawei Zhang 007; Yuhong Yang 002; Na Li 002; Jia Liu 002; Jie Ding 002 (CoRR, 2024)

Model Privacy: A Unified Framework to Understand Model Stealing Attacks and Defenses. - Ganghua Wang; Yuhong Yang 002; Jie Ding 002 (CoRR, 2025)

Golden Ratio-Based Sufficient Dimension Reduction. - Wenjing Yang 003; Yuhong Yang 002 (IEEE Trans. Inf. Theory, 2025)