Zhou Fan

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All published works

Action	Title	Year	Authors
+	The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings	2024	Zhou Fan Yihong Wu
+ PDF Chat	Universality of approximate message passing algorithms and tensor networks	2024	Tianhao Wang Xinyi Zhong Zhou Fan
+	Approximate message passing for orthogonally invariant ensembles: multivariate non-linearities and spectral initialization	2024	Xinyi Zhong Tianhao Wang Zhou Fan
+ PDF Chat	Asymptotic mutual information in quadratic estimation problems over compact groups	2024	Kaylee Y. Yang Timothy L. H. Wee Zhou Fan
+ PDF Chat	Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM	2024	Zhou Fan Roy R. Lederman Yi Sun Tianhao Wang Sheng Xu
+ PDF Chat	Rates of estimation for high-dimensional multireference alignment	2024	Zehao Dou Zhou Fan Harrison H. Zhou
+ PDF Chat	Random Linear Estimation With Rotationally-Invariant Designs: Asymptotics at High Temperature	2023	Y.B. Li Zhou Fan Subhabrata Sen Yihong Wu
+ PDF Chat	Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature	2023	Yufan Li Zhou Fan Subhabrata Sen Yihong Wu
+ PDF Chat	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization	2023	Michael Celentano Zhou Fan Mei Song
+	Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models	2023	Michael Celentano Zhou Fan Licong Lin Mei Song
+	Gradient flows for empirical Bayes in high-dimensional linear models	2023	Zhou Fan Leying Guan Yandi Shen Yihong Wu
+ PDF Chat	Tracy–Widom at each edge of real covariance and MANOVA estimators	2022	Zhou Fan Iain M. Johnstone
+	Spectral Graph Matching and Regularized Quadratic Relaxations II	2022	Zhou Fan Cheng Mao Yihong Wu Jiaming Xu
+ PDF Chat	Approximate Message Passing algorithms for rotationally invariant matrices	2022	Zhou Fan
+ PDF Chat	Empirical Bayes PCA in High Dimensions	2022	Xinyi Zhong Chang Su Zhou Fan
+ PDF Chat	Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model	2021	Zhou Fan Yi Sun Tianhao Wang Yihong Wu
+	An invariance principle of Random projection.	2021	Juntao Duan Ionel Popescu Zhou Fan
+	Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations	2021	Zhou Fan Ping Li
+	Central Limit Theorem for product of dependent random variables	2021	Juntao Duan Ionel Popescu Zhou Fan
+ PDF Chat	Principal components in linear mixed models with general bulk	2021	Zhou Fan Yi Sun Zhichao Wang
+ PDF Chat	Iterative Alpha Expansion for Estimating Gradient-Sparse Signals from Linear Measurements	2021	Sheng Xu Zhou Fan
+ PDF Chat	TAP free energy, spin glasses and variational inference	2021	Zhou Fan Mei Song Andrea Montanari
+	The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings	2021	Zhou Fan Yihong Wu
+	Local convexity of the TAP free energy and AMP convergence for Z2-synchronization	2021	Michael Celentano Zhou Fan Mei Song
+	Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM	2021	Zhou Fan Roy R. Lederman Yi Sun Tianhao Wang Sheng Xu
+	Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization	2021	Xinyi Zhong Tianhao Wang Zhou Fan
+	Tree-projected gradient descent for estimating gradient-sparse parameters on graphs	2020	Sheng Xu Zhou Fan Sahand Negahban
+	Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks	2020	Zhou Fan Zhichao Wang
+	Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs	2020	Sheng Xu Zhou Fan Sahand Negahban
+	Empirical Bayes PCA in high dimensions	2020	Xinyi Zhong Chang Su Zhou Fan
+	Eigenvalue distributions of variance components estimators in high-dimensional random effects models	2019	Zhou Fan Iain M. Johnstone
+	Principal components in linear mixed models with general bulk	2019	Zhou Fan Yi Sun Zhichao Wang
+	Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements	2019	Sheng Xu Zhou Fan
+	Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality	2019	Zhou Fan Cheng Mao Yihong Wu Jiaming Xu
+	Surfing: Iterative optimization over incrementally trained deep networks	2019	Ganlin Song Zhou Fan John Lafferty
+	Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model	2019	Zhou Fan Cheng Mao Yihong Wu Jiaming Xu
+	A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model	2019	Zhou Fan Ping Li
+ PDF Chat	Approximate $\ell_{0}$-penalized estimation of piecewise-constant signals on graphs	2018	Zhou Fan Leying Guan
+ PDF Chat	The spectral norm of random inner-product kernel matrices	2018	Zhou Fan Andrea Montanari
+	Spiked covariances and principal components analysis in high-dimensional random effects models	2018	Zhou Fan Iain M. Johnstone Yi Sun
+	TAP free energy, spin glasses, and variational inference	2018	Zhou Fan Mei Song Andrea Montanari
+	Approximate $l_0$-penalized estimation of piecewise-constant signals on graphs	2017	Zhou Fan Leying Guan
+	Eigenvalue distributions of variance components estimators in high-dimensional random effects models	2016	Zhou Fan Iain M. Johnstone
+	The Spectral Norm of Random Inner-Product Kernel Matrices	2015	Zhou Fan Andrea Montanari
+	Global and Local Limit Laws for Eigenvalues of the Gaussian Unitary Ensemble and the Wishart Ensemble	2010	Zhou Fan

Common Coauthors

Coauthor	Papers Together
Yihong Wu	9
Sheng Xu	6
Yi Sun	6
Xinyi Zhong	5
Mei Song	5
Iain M. Johnstone	4
Andrea Montanari	4
Tianhao Wang	4
Cheng Mao	3
Michael Celentano	3
Jiaming Xu	3
Leying Guan	3
Ionel Popescu	2
Ping Li	2
Zhichao Wang	2
Chang Su	2
Roy R. Lederman	2
Sahand Negahban	2
Juntao Duan	2
Subhabrata Sen	1
Licong Lin	1
Zehao Dou	1
Subhabrata Sen	1
Ganlin Song	1
Timothy L. H. Wee	1
John Lafferty	1
Y.B. Li	1
Tianhao Wang	1
Tianhao Wang	1
Yandi Shen	1
Yufan Li	1
Zhichao Wang	1
Kaylee Y. Yang	1
Harrison H. Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing	2011	Mohsen Bayati Andrea Montanari	11
+	Eigenvalues of large sample covariance matrices of spiked population models	2005	Jinho Baik Jack W. Silverstein	11
+ PDF Chat	Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices	2005	Jinho Baik Gérard Ben Arous Sandrine Péché	11
+ PDF Chat	An Iterative Construction of Solutions of the TAP Equations for the Sherrington–Kirkpatrick Model	2013	Erwin Bolthausen	10
+	Vector Approximate Message Passing	2019	Sundeep Rangan Philip Schniter Alyson K. Fletcher	10
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	10
+	Message-passing algorithms for compressed sensing	2009	David L. Donoho Arian Maleki Andrea Montanari	10
+	Asymptotic mutual information for the balanced binary stochastic block model	2016	Yash Deshpande Emmanuel Abbé Andrea Montanari	9
+	ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL	2007	Debashis Paul	9
+	The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices	2011	Florent Benaych-Georges Raj Rao Nadakuditi	9
+ PDF Chat	Estimation of low-rank matrices via approximate message passing	2021	Andrea Montanari Ramji Venkataramanan	9
+ PDF Chat	A Morita Type Proof of the Replica-Symmetric Formula for SK	2019	Erwin Bolthausen	8
+	Limit laws for Random matrices and free products	1991	Dan Voiculescu	8
+	Capacity lower bound for the Ising perceptron	2019	Jian Ding Nike Sun	8
+ PDF Chat	Universality of approximate message passing algorithms	2021	Wei-Kuo Chen Wai‐Kit Lam	7
+ PDF Chat	Finite sample approximation results for principal component analysis: A matrix perturbation approach	2008	Boaz Nadler	7
+	On sample eigenvalues in a generalized spiked population model	2011	Zhidong Bai Jianfeng Yao	7
+	Lectures on the Combinatorics of Free Probability	2006	Alexandru Nica Roland Speicher	7
+ PDF Chat	Rigorous dynamics of expectation-propagation-based signal recovery from unitarily invariant measurements	2017	Keigo Takeuchi	7
+ PDF Chat	Generalized approximate message passing for estimation with random linear mixing	2011	Sundeep Rangan	6
+ PDF Chat	On the free convolution with a semi-circular distribution	1997	Philippe Biane	6
+ PDF Chat	State evolution for general approximate message passing algorithms, with applications to spatial coupling	2013	Adel Javanmard Andrea Montanari	6
+	Convergence condition of the TAP equation for the infinite-ranged Ising spin glass model	1982	T. Plefka	6
+ PDF Chat	Fundamental limits of symmetric low-rank matrix estimation	2018	Marc Lelarge Léo Miolane	6
+ PDF Chat	The adaptive interpolation method: a simple scheme to prove replica formulas in Bayesian inference	2018	Jean Barbier Nicolas Macris	6
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	6
+ PDF Chat	Rectangular random matrices, related convolution	2008	Florent Benaych-Georges	6
+ PDF Chat	State evolution for approximate message passing with non-separable functions	2018	Raphaël Berthier Andrea Montanari Phan-Minh Nguyen	6
+	The singular values and vectors of low rank perturbations of large rectangular random matrices	2012	Florent Benaych-Georges Raj Rao Nadakuditi	6
+ PDF Chat	Adaptive estimation of a quadratic functional by model selection	2000	Béatrice Laurent Pascal Massart	6
+ PDF Chat	Iterative estimation of constrained rank-one matrices in noise	2012	Sundeep Rangan Alyson K. Fletcher	6
+ PDF Chat	Approximate Message Passing algorithms for rotationally invariant matrices	2022	Zhou Fan	6
+ PDF Chat	Information-theoretically optimal sparse PCA	2014	Yash Deshpande Andrea Montanari	6
+ PDF Chat	Mean-field equations for spin models with orthogonal interaction matrices	1995	Giorgio Parisi Marc Potters	5
+ PDF Chat	Non-Negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics	2015	Andrea Montanari Émile Richard	5
+	High-temperature expansions and message passing algorithms	2019	Antoine Maillard Laura Foini Alejandro Lage Castellanos Florent Krząkała Marc Mézard Lenka Zdeborová	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	Broken Replica Symmetry Bounds in the Mean Field Spin Glass Model	2003	Francesco Guerra	5
+	Angular synchronization by eigenvectors and semidefinite programming	2010	Amit Singer	5
+ PDF Chat	Thouless–Anderson–Palmer equations for generic $p$-spin glasses	2019	Antonio Auffinger Aukosh Jagannath	5
+	Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula	2016	Jean Barbier Mohamad Dia Nicolas Macris Florent Krząkała Thibault Lesieur Lenka Zdeborová	5
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	5
+	Free Probability and Random Matrices	2017	James A. Mingo Roland Speicher	5
+	On Certain Free Product Factors via an Extended Matrix Model	1993	Kenneth J. Dykema	5
+	On the Empirical Distribution of Eigenvalues of a Class of Large Dimensional Random Matrices	1995	Jack W. Silverstein Zhidong Bai	5
+ PDF Chat	Hanson-Wright inequality and sub-gaussian concentration	2013	Mark Rudelson Roman Vershynin	5
+ PDF Chat	Integration with Respect to the Haar Measure on Unitary, Orthogonal and Symplectic Group	2006	C. Benoît Piotr Śniady	5
+ PDF Chat	Message passing algorithms for compressed sensing: I. motivation and construction	2010	David L. Donoho Arian Maleki Andrea Montanari	5
+	High-Dimensional Probability: An Introduction with Applications in Data Science	2018	Roman Vershynin	5
+ PDF Chat	Spin glasses and Stein’s method	2009	Sourav Chatterjee	5