Yuhong Yang - RankMe

34 papers A* 2A 1B 1Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Golden Ratio-Based Sufficient Dimension Reduction. IEEE Trans. Inf. Theory Wenjing Yang, Yuhong Yang
2025	J	`jnl`	Model Privacy: A Unified Framework to Understand Model Stealing Attacks and Defenses. CoRR Ganghua Wang, Yuhong Yang, Jie Ding
2024	J	`jnl`	Additive-Effect Assisted Learning. CoRR Jiawei Zhang, Yuhong Yang, Jie Ding
2024	J	`jnl`	Drift to Remember. CoRR Jin Du, Xinhe Zhang, Hao Shen, Xun Xian, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Na Li, Jia Liu, Jie Ding
2024	J	`jnl`	Golden Ratio-Based Sufficient Dimension Reduction. CoRR Wenjing Yang, Yuhong Yang
2023	J	`jnl`	Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models. J. Comput. Graph. Stat. Ze Chen, Jun Liao, Wangli Xu, Yuhong Yang
2023	J	`jnl`	Optimal Integrating Learning for Split Questionnaire Design Type Data. J. Comput. Graph. Stat. Cunjie Lin, Jingfu Peng, Yichen Qin, Yang Li, Yuhong Yang
2023	A*	`conf`	Pruning Deep Neural Networks from a Sparsity Perspective. ICLR Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh
2023	J	`jnl`	Pruning Deep Neural Networks from a Sparsity Perspective. CoRR Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh
2022	J	`jnl`	A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation. CoRR Wenjing Yang, Ganghua Wang, Enmao Diao, Vahid Tarokh, Jie Ding, Yuhong Yang
2022	J	`jnl`	Parallel Assisted Learning. IEEE Trans. Signal Process. Xinran Wang, Jiawei Zhang, Mingyi Hong, Yuhong Yang, Jie Ding
2022	J	`jnl`	Profile electoral college cross-validation. Inf. Sci. Zishu Zhan, Yuhong Yang
2021	B	`conf`	A Stabilized Dense Network Approach for High-Dimensional Prediction. IJCNN Wenjing Yang, Yuhong Yang
2021	J	`jnl`	Estimating and forecasting dynamic correlation matrices: A nonlinear common factor approach. J. Multivar. Anal. Yongli Zhang, Craig Rolling, Yuhong Yang
2021	J	`jnl`	Targeted Cross-Validation. CoRR Jiawei Zhang, Jie Ding, Yuhong Yang
2020	A*	`conf`	Confidence Calibration on Multiclass Classification in Medical Imaging. ICDM Wenjing Yang, Zhantao Cao, Qin Chen, Yuhong Yang, Guowu Yang
2020	J	`jnl`	To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation. CoRR Sakshi Arya, Yuhong Yang
2019	J	`jnl`	A Binary Regression Adaptive Goodness-of-fit Test (BAGofT). CoRR Jiawei Zhang, Jie Ding, Yuhong Yang
2019	J	`jnl`	High-Dimensional Adaptive Minimax Sparse Estimation With Interactions. IEEE Trans. Inf. Theory Chenglong Ye, Yuhong Yang
2019	J	`jnl`	Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards. CoRR Sakshi Arya, Yuhong Yang
2018	J	`jnl`	Model Selection Techniques - An Overview. CoRR Jie Ding, Vahid Tarokh, Yuhong Yang
2018	J	`jnl`	Model Selection Techniques: An Overview. IEEE Signal Process. Mag. Jie Ding, Vahid Tarokh, Yuhong Yang
2017	—	`conf`	Anomaly Detection for Categorical Observations Using Latent Gaussian Process. ICONIP (5) Fengmao Lv, Guowu Yang, Jinzhao Wu, Chuan Liu, Yuhong Yang
2016	J	`jnl`	Kernel Estimation and Model Combination in A Bandit Problem with Covariates. J. Mach. Learn. Res. Wei Qian, Yuhong Yang
2015	J	`jnl`	Variable selection after screening: with or without data splitting? Comput. Stat. Xiaoyi Zhu, Yuhong Yang
2014	J	`jnl`	Adaptive minimax regression estimation over sparse lq-hulls. J. Mach. Learn. Res. Zhan Wang, Sandra Paterlini, Fuchang Gao, Yuhong Yang
2013	J	`jnl`	Metric entropy and sparse linear approximation of l J. Approx. Theory Fuchang Gao, Ching-Kang Ing, Yuhong Yang
2012	—	`conf`	Randomized allocation with dimension reduction in a bandit problem with covariates. FSKD Wei Qian, Yuhong Yang
2007	A	`conf`	How Powerful Can Any Regression Learning Procedure Be?. AISTATS Yuhong Yang
2001	J	`jnl`	Minimax rate adaptive estimation over continuous hyper-parameters. IEEE Trans. Inf. Theory Yuhong Yang
2000	J	`jnl`	Comment on "Finite sample performance guarantees of fusers for function estimators" [Information Fusion 1: 35-44 (2000)]. Inf. Fusion Yuhong Yang
1999	J	`jnl`	Minimax nonparametric classification - Part I: Rates of convergence. IEEE Trans. Inf. Theory Yuhong Yang
1999	J	`jnl`	Minimax nonparametric classification - Part II: Model selection for adaptation. IEEE Trans. Inf. Theory Yuhong Yang
1998	J	`jnl`	An Asymptotic Property of Model Selection Criteria. IEEE Trans. Inf. Theory Yuhong Yang, Andrew R. Barron