Nan Ye

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Fast Controllable Diffusion Models for Undersampled MRI Reconstruction	2024	Wei Jiang Zhuang Xiong Feng Liu Nan Ye Hongfu Sun
+ PDF Chat	Blockwise acceleration of alternating least squares for canonical tensor decomposition	2023	David B. Evans Nan Ye
+	Fast Controllable Diffusion Models for Undersampled MRI Reconstruction	2023	Wei Jiang Zhuang Xiong Feng Liu Nan Ye Hongfu Sun
+ PDF Chat	Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms	2020	Aaron J. Snoswell Surya P. N. Singh Nan Ye
+	Risk Fluctuation Characteristics of Internet Finance: Combining Industry Characteristics with Ecological Value	2020	Runjie Xu Chuanmin Mi Nan Ye Tom Marshall Yadong Xiao Hefan Shuai
+	Nesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition: Momentum Step Size Selection and Restart Mechanisms	2018	Drew Mitchell Nan Ye Hans De Sterck

Common Coauthors

Coauthor	Papers Together
Hongfu Sun	2
Zhuang Xiong	2
Feng Liu	2
Hans De Sterck	1
Chuanmin Mi	1
Hefan Shuai	1
Wei Jiang	1
David Evans	1
Aaron J. Snoswell	1
Yadong Xiao	1
Drew Mitchell	1
Surya P. N. Singh	1
Wei Jiang	1
Tom Marshall	1
Runjie Xu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	On accelerating the regularized alternating least-squares algorithm for tensors	2018	Xiaofei Wang Carmeliza Navasca Stefan Kindermann	2
+ PDF Chat	Nonlinearly preconditioned L‐BFGS as an acceleration mechanism for alternating least squares with application to tensor decomposition	2018	Hans De Sterck Alexander J. M. Howse	2
+	Enhanced Line Search: A Novel Method to Accelerate PARAFAC	2008	Myriam Rajih Pierre Comon Richard A. Harshman	2
+	A comparison of algorithms for fitting the PARAFAC model	2004	Giorgio Tomasi Rasmus Bro	2
+	A scalable optimization approach for fitting canonical tensor decompositions	2011	Evrim Acar Daniel Dunlavy Tamara G. Kolda	2
+ PDF Chat	A nonlinearly preconditioned conjugate gradient algorithm for rank‐<i>R</i> canonical tensor approximation	2014	Hans De Sterck Manda Winlaw	2
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	2
+	Tensor decompositions, alternating least squares and other tales	2009	Pierre Comon Xavier Luciani André L. F. de Almeida	1
+ PDF Chat	Quantifying signals with power-law correlations: A comparative study of detrended fluctuation analysis and detrended moving average techniques	2005	Limei Xu Plamen Ch. Ivanov Kun Hu Zhi Chen A. Carbone H. Eugene Stanley	1
+	Slowly converging parafac sequences: Swamps and two‐factor degeneracies	1994	Ben C. Mitchell Donald S. Burdick	1
+	LIKELIHOOD MOMENT ESTIMATION FOR THE GENERALIZED PARETO DISTRIBUTION	2007	Jin Zhang	1
+	Decomposition of 3-way arrays: A comparison of different PARAFAC algorithms	2014	Claudia Paulick Marvin N. Wright Rolf Verleger Karsten Keller	1
+ PDF Chat	A Simple General Approach to Inference About the Tail of a Distribution	1975	Bruce M. Hill	1
+ PDF Chat	New ALS Methods With Extrapolating Search Directions and Optimal Step Size for Complex-Valued Tensor Decompositions	2011	Yannan Chen Deren Han Liqun Qi	1
+ PDF Chat	Low Complexity Damped Gauss--Newton Algorithms for CANDECOMP/PARAFAC	2013	Anh Huy Phan Petr Tichavský Andrzej Cichocki	1
+ PDF Chat	Fast Alternating Direction Optimization Methods	2014	Tom Goldstein Brendan O’Donoghue Simon Setzer Richard G. Baraniuk	1
+	Some convergence results on the Regularized Alternating Least-Squares method for tensor decomposition	2011	Na Li Stefan Kindermann Carmeliza Navasca	1
+ PDF Chat	Two classes of multisecant methods for nonlinear acceleration	2008	Haw‐ren Fang Yousef Saad	1
+ PDF Chat	Steepest descent preconditioning for nonlinear GMRES optimization	2012	Hans De Sterck	1
+ PDF Chat	Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis	2015	Andrzej Cichocki Danilo P. Mandic Lieven De Lathauwer Guoxu Zhou Qibin Zhao César F. Caiafa Anh Huy Phan	1
+	PARAFAC. Tutorial and applications	1997	Rasmus Bro	1
+ PDF Chat	Composing Scalable Nonlinear Algebraic Solvers	2015	Peter Brune Matthew G. Knepley Barry Smith Xuemin Tu	1
+	Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis	1970	Richard A. Harshman	1
+	Poblano v1.0 : a Matlab toolbox for gradient-based optimization.	2010	Daniel Dunlavy Evrim Acar Tamara G. Kolda	1
+ PDF Chat	Adaptive Restart for Accelerated Gradient Schemes	2013	Brendan O’Donoghue Emmanuel J. Candès	1
+	KRYLOV SUBSPACE ACCELERATION FOR NONLINEAR MULTIGRID SCHEMES	1997	Takumi Washio Cornelis W. Oosterlee	1
+	Accelerated proximal gradient methods for nonconvex programming	2015	Huan Li Zhouchen Lin	1
+	Linear and nonlinear programming.	1986		1
+	Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization	2016	Chelsea Finn Sergey Levine Pieter Abbeel	1
+	Nonlinearly Preconditioned Optimization on Grassmann Manifolds for Computing Approximate Tucker Tensor Decompositions	2016	Hans De Sterck Alexander J. M. Howse	1
+	Nonnegative Matrix and Tensor Factorizations	2009	Andrzej Cichocki Rafał Zdunek Anh Huy Phan Шун-ичи Амари	1
+	Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition	2016	Petr Tichavský Anh Huy Phan Andrzej Cichocki	1
+	Tensor Decomposition for Signal Processing and Machine Learning	2017	Nicholas D. Sidiropoulos Lieven De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos	1
+	A differential equation for modeling Nesterov's accelerated gradient method: theory and insights	2016	Weijie Su Stephen Boyd Emmanuel J. Candès	1
+	A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models	2016	Chelsea Finn Paul F. Christiano Pieter Abbeel Sergey Levine	1
+	Learning a variational network for reconstruction of accelerated MRI data	2017	Kerstin Hammernik Teresa Klatzer Erich Kobler Michael P. Recht Daniel K. Sodickson Thomas Pock Florian Knöll	1
+	Learning Robust Rewards with Adversarial Inverse Reinforcement Learning	2017	Justin Fu Katie Luo Sergey Levine	1
+	Nesterov's Acceleration For Approximate Newton	2017	Haishan Ye Zhihua Zhang	1
+ PDF Chat	Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation	2018	Andersen Ang Nicolas Gillis	1
+ PDF Chat	Quantum risk analysis	2019	Stefan Woerner Daniel J. Egger	1
+ PDF Chat	Accelerated Residual Methods for the Iterative Solution of Systems of Equations	2018	Ngoc Cuong Nguyen Pablo Fernández Robert M. Freund J. Peraire	1
+	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI	2018	Jure Žbontar Florian Knöll Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	1
+ PDF Chat	Accelerating alternating least squares for tensor decomposition by pairwise perturbation	2022	Linjian Ma Edgar Solomonik	1
+	Generative Modeling by Estimating Gradients of the Data Distribution	2019	Yang Song Stefano Ermon	1
+ PDF Chat	A Nonlinear GMRES Optimization Algorithm for Canonical Tensor Decomposition	2012	Hans De Sterck	1
+ PDF Chat	Image Restoration by Iterative Denoising and Backward Projections	2018	Tom Tirer Raja Giryes	1
+	Learning Robust Rewards with Adversarial Inverse Reinforcement Learning	2017	Justin Fu Katie Luo Sergey Levine	1
+ PDF Chat	${k}$ -Space Deep Learning for Accelerated MRI	2019	Yoseob Han Leonard Sunwoo Jong Chul Ye	1
+ PDF Chat	Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks	2018	Dongwook Lee Jaejun Yoo Sungho Tak Jong Chul Ye	1
+ PDF Chat	Complex network construction of Internet finance risk	2019	Runjie Xu Chuanmin Mi Rafał Mierzwiak Runyu Meng	1