Yuan Yao

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All published works

Action	Title	Year	Authors
+ PDF Chat	Neuro-symbolic Learning Yielding Logical Constraints	2024	Zenan Li Huang Yun-peng Zhaoyu Li Yuan Yao Jingwei Xu Taolue Chen Xiaoxing Ma Jian Lü
+ PDF Chat	Controlling the false discovery rate in transformational sparsity: Split Knockoffs	2023	Yang Cao Xinwei Sun Yuan Yao
+ PDF Chat	Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces	2022	Yanwei Fu Chen Liu Donghao Li Zuyuan Zhong Xinwei Sun Jinshan Zeng Yuan Yao
+ PDF Chat	How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning	2021	Yikai Wang Li Zhang Yuan Yao Yanwei Fu
+ PDF Chat	StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding	2021	Jinshan Zeng Qi Chen Yunxin Liu Mingwen Wang Yuan Yao
+	Controlling the False Discovery Rate in Structural Sparsity: Split Knockoffs	2021	Yang Cao Xinwei Sun Yuan Yao
+	On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization	2021	Jinshan Zeng Yixuan Zha Ke Ma Yuan Yao
+ PDF Chat	Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics	2020	Weizhi Zhu Yifei Huang Yuan Yao
+ PDF Chat	DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths	2020	Yanwei Fu Chen Liu Donghao Li Xinwei Sun Jinshan Zeng Yuan Yao
+ PDF Chat	Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction	2020	Yuan Yao Nico Schertler Enrique Rosales Helge Rhodin Leonid Sigal Alla Sheffer
+ PDF Chat	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics	2020	Bingzhe Wu Chaochao Chen Shiwan Zhao Cen Chen Yuan Yao Guangyu Sun Li Wang Xiaolu Zhang Jun Zhou
+	Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the needle in a haystack	2020	Jiefu Zhang Leonardo Zepeda-Núñez Yuan Yao Lin Lin
+	How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning	2020	Yikai Wang Li Zhang Yuan Yao Yanwei Fu
+	Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective	2020	Chao Gao Yuan Yao Weizhi Zhu
+	StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding	2020	Jinshan Zeng Qi Chen Yunxin Liu Mingwen Wang Yuan Yao
+	DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths	2020	Yanwei Fu Chen Liu Donghao Li Xinwei Sun Jinshan Zeng Yuan Yao
+	Differentially Private Federated Learning with Laplacian Smoothing	2020	Zhicong Liang Wang Bao Quanquan Gu Stanley Osher Yuan Yao
+	On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming	2019	Jinshan Zeng Ke Ma Yuan Yao
+	A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning.	2019	Jinshan Zeng Shao-Bo Lin Yuan Yao
+	$S^{2}$-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning	2019	Yanwei Fu Donghao Li Xinwei Sun Shun Zhang Yizhou Wang Yuan Yao
+	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics	2019	Bingzhe Wu Chaochao Chen Shiwan Zhao Cen Chen Yuan Yao Guangyu Sun Li Wang Xiaolu Zhang Jun Zhou
+	On ADMM in Deep Learning: Convergence and Saturation-Avoidance	2019	Jinshan Zeng Shao-Bo Lin Yuan Yao Ding‐Xuan Zhou
+ PDF Chat	A Margin-based MLE for Crowdsourced Partial Ranking	2018	Qianqian Xu Jiechao Xiong Xinwei Sun Zhiyong Yang Xiaochun Cao Qingming Huang Yuan Yao
+	A Unified Dynamic Approach to Sparse Model Selection	2018	Chendi Huang Yuan Yao
+	MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning	2018	Bo Zhao Xinwei Sun Yanwei Fu Yuan Yao Yizhou Wang
+ PDF Chat	HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation	2018	Qianqian Xu Jiechao Xiong Xi Chen Qingming Huang Yuan Yao
+ PDF Chat	Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size	2018	Ke Ma Jinshan Zeng Jiechao Xiong Qianqian Xu Xiaochun Cao Wei Liu Yuan Yao
+	A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training	2018	Tim Tsz-Kit Lau Jinshan Zeng Baoyuan Wu Yuan Yao
+	Boosting with structural sparsity: A differential inclusion approach	2018	Chendi Huang Xinwei Sun Jiechao Xiong Yuan Yao
+	Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction	2018	Jinshan Zeng Ke Ma Yuan Yao
+ PDF Chat	FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis	2018	Xinwei Sun Lingjing Hu Fandong Zhang Yuan Yao Yizhou Wang
+	Robust Estimation and Generative Adversarial Nets	2018	Chao Gao Jiyi Liu Yuan Yao Weizhi Zhu
+	Global Convergence of Block Coordinate Descent in Deep Learning	2018	Jinshan Zeng Tim Tsz-Kit Lau Shao-Bo Lin Yuan Yao
+	Data-Driven Tight Frame for Cryo-EM Image Denoising and Conformational Classification	2018	Yin Xian Hanlin Gu Wei Wang Xuhui Huang Yuan Yao Yang Wang Jian‐Feng Cai
+	FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis	2018	Xinwei Sun Lingjing Hu Fandong Zhang Yuan Yao Yizhou Wang
+	MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning	2018	Bo Zhao Xinwei Sun Yanwei Fu Yuan Yao Yizhou Wang
+	A Unified Dynamic Approach to Sparse Model Selection	2018	Chendi Huang Yuan Yao
+	A Tutorial on : R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics	2018	Jiechao Xiong Feng Ruan Yuan Yao
+	Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics	2017	Tsz Kit Lau Yuan Yao
+ PDF Chat	GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction	2017	Xinwei Sun Lingjing Hu Yuan Yao Yizhou Wang
+	Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size	2017	Ke Ma Jinshan Zeng Jiechao Xiong Qianqian Xu Xiaochun Cao Wei Liu Yuan Yao
+	Learning Rates of Regression with q-norm Loss and Threshold	2017	Ting Hu Yuan Yao
+	Boosting with Structural Sparsity: A Differential Inclusion Approach	2017	Chendi Huang Xinwei Sun Jiechao Xiong Yuan Yao
+	HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation	2017	Qianqian Xu Jiechao Xiong Xi Chen Qingming Huang Yuan Yao
+ PDF Chat	Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation	2016	Qianqian Xu Jiechao Xiong Xiaochun Cao Yuan Yao
+ PDF Chat	Learning rates of regression with q-norm loss and threshold	2016	Ting Hu Yuan Yao
+	False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking	2016	Qianqian Xu Jiechao Xiong Xiaochun Cao Yuan Yao
+	Analysis of crowdsourced sampling strategies for HodgeRank with sparse random graphs	2016	Braxton Osting Jiechao Xiong Qianqian Xu Yuan Yao
+	Sparse recovery via differential inclusions	2016	Stanley Osher Feng Ruan Jiechao Xiong Yuan Yao Wotao Yin
+	A Tutorial on Libra: R package for the Linearized Bregman Algorithm in High Dimensional Statistics	2016	Jiechao Xiong Feng Ruan Yuan Yao
+	Split LBI: An Iterative Regularization Path with Structural Sparsity	2016	Chendi Huang Xinwei Sun Jiechao Xiong Yuan Yao
+	Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation	2016	Qianqian Xu Jiechao Xiong Xiaochun Cao Yuan Yao
+	False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking	2016	Qianqian Xu Jiechao Xiong Xiaochun Cao Yuan Yao
+ PDF Chat	Geometric tight frame based stylometry for art authentication of van Gogh paintings	2015	Haixia Liu Raymond H. Chan Yuan Yao
+ PDF Chat	Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels	2015	Yanwei Fu Timothy M. Hospedales Tao Xiang Jiechao Xiong Shaogang Gong Yizhou Wang Yuan Yao
+	Noisy Sparsity Recovery via Differential Equations	2014	Stanley Osher Feng Ruan Jiechao Xiong Yuan Yao Wotao Yin
+	Sparsity Recovery via Differential Equations	2014	Stanley Osher Feng Ruan Jiechao Xiong Yuan Yao Wotao Yin
+	Online Learning as Stochastic Approximation of Regularization Paths: Optimality and Almost-Sure Convergence	2014	Pierre Tarrès Yuan Yao
+	Geometric Tight Frame based Stylometry for Art Authentication of van Gogh Paintings	2014	Haixia Liu Raymond H. Chan Yuan Yao
+	Robust evaluation for quality of experience in crowdsourcing	2013	Qianqian Xu Jiechao Xiong Qingming Huang Yuan Yao
+	On Statistical Consistency of Early Stopping Regularization in Bregman Iterative Algorithms	2013	Yuan Yao
+	Online Learning as Stochastic Approximation of Regularization Paths	2011	Pierre Tarrès Yuan Yao
+	CROSS-VALIDATION BASED ADAPTATION FOR REGULARIZATION OPERATORS IN LEARNING THEORY	2010	Andrea Caponnetto Yuan Yao
+	Statistical ranking and combinatorial Hodge theory	2008	Xiaoye Jiang Lek‐Heng Lim Yuan Yao Yinyu Ye
+	Adaptation for Regularization Operators in Learning Theory	2006	Andrea Caponnetto Yuan Yao

Common Coauthors

Coauthor	Papers Together
Jiechao Xiong	20
Xinwei Sun	15
Jinshan Zeng	14
Qianqian Xu	11
Yanwei Fu	9
Yizhou Wang	7
Xiaochun Cao	7
Feng Ruan	5
Chendi Huang	5
Ke Ma	5
Qingming Huang	4
Donghao Li	4
Stanley Osher	4
Wotao Yin	3
Weizhi Zhu	3
Shao-Bo Lin	3
Chen Liu	3
Lingjing Hu	3
Tim Tsz-Kit Lau	2
Andrea Caponnetto	2
Fandong Zhang	2
Chaochao Chen	2
Mingwen Wang	2
Bingzhe Wu	2
Shiwan Zhao	2
Pierre Tarrès	2
Ting Hu	2
Xi Chen	2
Li Zhang	2
Wei Liu	2
Xiaolu Zhang	2
Yikai Wang	2
Guangyu Sun	2
Jun Zhou	2
Yunxin Liu	2
Bo Zhao	2
Chao Gao	2
Raymond H. Chan	2
Haixia Liu	2
Yixuan Zha	1
Baoyuan Wu	1
Wang Bao	1
Xiaoye Jiang	1
Zuyuan Zhong	1
Nico Schertler	1
Taolue Chen	1
Leonardo Zepeda-Núñez	1
Jingwei Xu	1
Yin Xian	1
Xuhui Huang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	14
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	13
+	Sparse recovery via differential inclusions	2016	Stanley Osher Feng Ruan Jiechao Xiong Yuan Yao Wotao Yin	12
+	Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)	2009	Martin J. Wainwright	11
+	On Early Stopping in Gradient Descent Learning	2007	Yuan Yao Lorenzo Rosasco Andrea Caponnetto	11
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	11
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	11
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	10
+	Split LBI: An Iterative Regularization Path with Structural Sparsity	2016	Chendi Huang Xinwei Sun Jiechao Xiong Yuan Yao	8
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	7
+	Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing	2008	Wotao Yin Stanley Osher Donald Goldfarb Jérôme Darbon	7
+ PDF Chat	An Iterative Regularization Method for Total Variation-Based Image Restoration	2005	Stanley Osher Martin Burger Donald Goldfarb Jinjun Xu Wotao Yin	7
+	Regularization of Inverse Problems	1996	Heinz W. Engl Martin Hanke Andreas B. Neubauer	7
+	An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems	2012	Bo Wahlberg S. T. P. Boyd Mariette Annergren Yang Wang	6
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	6
+	Uncertainty principles and ideal atomic decomposition	2001	David L. Donoho Xiaoming Huo	6
+	Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods	2011	Hédy Attouch Jérôme Bolte B. F. Svaiter	6
+ PDF Chat	GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction	2017	Xinwei Sun Lingjing Hu Yuan Yao Yizhou Wang	5
+	Nonlinear Inverse Scale Space Methods for Image Restoration	2005	Martin Burger Stanley Osher Jinjun Xu Guy Gilboa	5
+	The Łojasiewicz Inequality for Nonsmooth Subanalytic Functions with Applications to Subgradient Dynamical Systems	2007	Jérôme Bolte Aris Daniilidis Adrian S. Lewis	5
+ PDF Chat	The solution path of the generalized lasso	2011	Ryan J. Tibshirani Jonathan Taylor	5
+	On Model Selection Consistency of Lasso	2006	ZhaoPeng Yubin Yubin	5
+ PDF Chat	Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels	2015	Yanwei Fu Timothy M. Hospedales Tao Xiang Jiechao Xiong Shaogang Gong Yizhou Wang Yuan Yao	5
+	Boosting with structural sparsity: A differential inclusion approach	2018	Chendi Huang Xinwei Sun Jiechao Xiong Yuan Yao	5
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	5
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Statistical ranking using the $l^{1}$-norm on graphs	2013	Braxton Osting Jérôme Darbon Stanley Osher	4
+ PDF Chat	Sur la géométrie semi- et sous- analytique	1993	Stanislas Łojasiewicz	4
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	4
+	Controlling the false discovery rate via knockoffs	2015	Rina Foygel Barber Emmanuel J. Candès	4
+	Adapting to Unknown Smoothness via Wavelet Shrinkage	1995	David L. Donoho Iain M. Johnstone	4
+ PDF Chat	Global Convergence of ADMM in Nonconvex Nonsmooth Optimization	2018	Yu Wang Wotao Yin Jinshan Zeng	4
+	A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion	2013	Yangyang Xu Wotao Yin	4
+	Robust evaluation for quality of experience in crowdsourcing	2013	Qianqian Xu Jiechao Xiong Qingming Huang Yuan Yao	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Learning a Deep Embedding Model for Zero-Shot Learning	2017	Li Zhang Tao Xiang Shaogang Gong	3
+ PDF Chat	Flows and Decompositions of Games: Harmonic and Potential Games	2011	Ozan Candogan Ishai Menache Asuman Ozdaglar Pablo A. Parrilo	3
+	Structural Compression of Convolutional Neural Networks Based on Greedy Filter Pruning	2017	Reza Abbasi-Asl Bin Yu	3
+	Robust Statistics	1981	Peter J. Huber	3
+ PDF Chat	Robust Sparse Analysis Regularization	2012	Samuel Vaiter Gabriel Peyré Charles H Dossal Jalal Fadili	3
+	Mirror descent and nonlinear projected subgradient methods for convex optimization	2003	Amir Beck Marc Teboulle	3
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	3
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	3
+	Speeding up Convolutional Neural Networks with Low Rank Expansions	2014	Max Jaderberg Andrea Vedaldi Andrew Zisserman	3
+	Memory Bounded Deep Convolutional Networks	2014	Maxwell D. Collins Pushmeet Kohli	3
+ PDF Chat	An adaptive inverse scale space method for compressed sensing	2012	Martin Burger Michael Möller Martin Benning Stanley Osher	3
+	Sparsistency of the Edge Lasso over Graphs	2012	James Sharpnack Alessandro Rinaldo Aarti Singh	3
+	A Distribution-Free Theory of Nonparametric Regression	2002	László Györfi Michael Köhler Adam Krzyżak Harro Walk	3
+ PDF Chat	Optimal Rates for the Regularized Least-Squares Algorithm	2006	Andrea Caponnetto Ernesto De Vito	3
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	3