Zhaoqiang Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors	2025	Junren Chen Michael K. Ng Zhaoqiang Liu
+ PDF Chat	An Affine Equivalence Algorithm for S-boxes based on Matrix Invariants	2024	Xincheng Hu Xiao Zeng Zhaoqiang Liu Guowu Yang
+ PDF Chat	Generalized Eigenvalue Problems with Generative Priors	2024	Zhaoqiang Liu Wen Li Junren Chen
+ PDF Chat	Robust Instance Optimal Phase-Only Compressed Sensing	2024	Junren Chen Zhaoqiang Liu Michael K. Ng Jonathan Scarlett
+ PDF Chat	Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors	2024	Junren Chen Zhaoqiang Liu
+	Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors	2024	Junren Chen Zhaoqiang Liu Meng Ding Michael K. Ng
+	Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors	2023	Junren Chen Shuai Huang Michael K. Ng Zhaoqiang Liu
+	A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing	2023	Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu
+ PDF Chat	Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors	2022	Zhaoqiang Liu Jun Han
+ PDF Chat	Non-Iterative Recovery from Nonlinear Observations using Generative Models	2022	Jiulong Liu Zhaoqiang Liu
+	Generative Principal Component Analysis	2022	Zhaoqiang Liu Jiulong Liu Subhroshekhar Ghosh Jun Han Jonathan Scarlett
+	Non-Iterative Recovery from Nonlinear Observations using Generative Models	2022	Jiulong Liu Zhaoqiang Liu
+	Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors	2022	Zhaoqiang Liu Jun Han
+	Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors	2021	Zhaoqiang Liu Subhroshekhar Ghosh Jonathan Scarlett
+ PDF Chat	Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors	2021	Zhaoqiang Liu Subhroshekhar Ghosh Jonathan Scarlett
+	Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors	2021	Zhaoqiang Liu Subhroshekhar Ghosh Jonathan Scarlett
+	Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors	2021	Zhaoqiang Liu Subhroshekhar Ghosh Jun Han Jonathan Scarlett
+ PDF Chat	Information-Theoretic Lower Bounds for Compressive Sensing With Generative Models	2020	Zhaoqiang Liu Jonathan Scarlett
+	Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors	2020	Zhaoqiang Liu Selwyn Gomes Avtansh Tiwari Jonathan Scarlett
+	Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors	2020	Zhaoqiang Liu Selwyn Gomes Avtansh Tiwari Jonathan Scarlett
+	The Generalized Lasso with Nonlinear Observations and Generative Priors	2020	Zhaoqiang Liu Jonathan Scarlett
+	The Generalized Lasso with Nonlinear Observations and Generative Priors	2020	Zhaoqiang Liu Jonathan Scarlett
+ PDF Chat	The Informativeness of $k$ -Means for Learning Mixture Models	2019	Zhaoqiang Liu Vincent Y. F. Tan
+	Error Bounds for Spectral Clustering over Samples from Spherical Gaussian Mixture Models	2019	Zhaoqiang Liu
+ PDF Chat	Model Selection for Nonnegative Matrix Factorization by Support Union Recovery	2019	Zhaoqiang Liu
+	Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models	2019	Zhaoqiang Liu Jonathan Scarlett
+ PDF Chat	The Informativeness of k-Means for Learning Mixture Models	2018	Zhaoqiang Liu Vincent Y. F. Tan
+ PDF Chat	Rank-One NMF-Based Initialization for NMF and Relative Error Bounds Under a Geometric Assumption	2018	Zhaoqiang Liu Vincent Y. F. Tan
+	Model Selection for Nonnegative Matrix Factorization by Support Union Recovery	2018	Zhaoqiang Liu
+ PDF Chat	Rank-One NMF-Based Initialization for NMF and Relative Error Bounds Under a Geometric Assumption	2017	Zhaoqiang Liu Vincent Y. F. Tan
+	The Informativeness of $k$-Means for Learning Mixture Models	2017	Zhaoqiang Liu Vincent Y. F. Tan
+	Relative Error Bounds for Nonnegative Matrix Factorization under a Geometric Assumption	2016	Zhaoqiang Liu Vincent Y. F. Tan

Common Coauthors

Coauthor	Papers Together
Jonathan Scarlett	13
Junren Chen	7
Vincent Y. F. Tan	6
Subhroshekhar Ghosh	5
Michael K. Ng	5
Avtansh Tiwari	2
Jiulong Liu	2
Jun Han	2
Selwyn Gomes	2
Shuai Huang	1
Xiao Zeng	1
Jiulong Liu	1
Meng Ding	1
Wen Li	1
Guowu Yang	1
Jun Han	1
Xincheng Hu	1
Jun Han	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Introduction to the non-asymptotic analysis of random matrices	2010	Roman Vershynin	10
+ PDF Chat	Information-Theoretic Lower Bounds for Compressive Sensing With Generative Models	2020	Zhaoqiang Liu Jonathan Scarlett	8
+ PDF Chat	Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees	2018	Viraj Shah Chinmay Hegde	8
+	Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors	2020	Zhaoqiang Liu Selwyn Gomes Avtansh Tiwari Jonathan Scarlett	7
+	How well can we estimate a sparse vector?	2012	Emmanuel J. Candès Mark A. Davenport	6
+ PDF Chat	On the Fundamental Limits of Adaptive Sensing	2012	Ery Arias-Castro Emmanuel J. Candès Mark A. Davenport	6
+ PDF Chat	Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework	2016	Jonathan Scarlett Volkan Cevher	6
+ PDF Chat	Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing	2013	David L. Donoho Adel Javanmard Andrea Montanari	6
+ PDF Chat	A Sharp Condition for Exact Support Recovery With Orthogonal Matching Pursuit	2016	Jinming Wen Zhengchun Zhou Jian Wang Xiaohu Tang Qun Mo	6
+ PDF Chat	Solving Inverse Problems via Auto-Encoders	2020	Pei Peng Shirin Jalali Xin Yuan	6
+ PDF Chat	Living on the edge: phase transitions in convex programs with random data	2014	Dennis Amelunxen Martin Lötz Michael B. McCoy Joel A. Tropp	6
+	Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)	2009	Martin J. Wainwright	5
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	5
+ PDF Chat	The Generalized Lasso With Non-Linear Observations	2016	Yaniv Plan Roman Vershynin	5
+	Deep Learning Techniques for Inverse Problems in Imaging	2020	Greg Ongie Ajil Jalal Christopher A. Metzler Richard G. Baraniuk Alexandros G. Dimakis Rebecca Willett	5
+	Compressed Sensing with Deep Image Prior and Learned Regularization	2018	Dave Van Veen Ajil Jalal Mahdi Soltanolkotabi Eric Price Sriram Vishwanath Alexandros G. Dimakis	5
+	Compressed Sensing using Generative Models	2017	Ashish Bora Ajil Jalal Eric Price Alexandros G. Dimakis	5
+	Comparing clusterings	2005	Marina Meilă	4
+	Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors	2021	Zhaoqiang Liu Subhroshekhar Ghosh Jonathan Scarlett	4
+	The Generalized Lasso with Nonlinear Observations and Generative Priors	2020	Zhaoqiang Liu Jonathan Scarlett	4
+ PDF Chat	High-Dimensional Estimation of Structured Signals From Non-Linear Observations With General Convex Loss Functions	2016	Martin Genzel	4
+ PDF Chat	One-Bit Compressive Sensing With Norm Estimation	2016	Karin Knudson Rayan Saab Rachel Ward	4
+ PDF Chat	GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems	2019	Ankit Raj Yuqi Li Yoram Bresler	4
+	Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks	2018	Reinhard Heckel Paul Hand	4
+	One-bit compressed sensing with non-Gaussian measurements	2013	Albert Ai Alex Lapanowski Yaniv Plan Roman Vershynin	4
+	High-Dimensional Statistics: A Non-Asymptotic Viewpoint	2019	Martin J. Wainwright	4
+ PDF Chat	Fast and Reliable Parameter Estimation from Nonlinear Observations	2017	Samet Oymak Mahdi Soltanolkotabi	4
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	4
+ PDF Chat	Quantized compressive sensing with RIP matrices: the benefit of dithering	2019	Chunlei Xu Laurent Jacques	4
+	Tensor decompositions for learning latent variable models	2014	Animashree Anandkumar Rong Ge Daniel Hsu Sham M. Kakade Matus Telgarsky	4
+ PDF Chat	Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach	2012	Yaniv Plan Roman Vershynin	4
+ PDF Chat	Learning mixtures of spherical gaussians	2013	Daniel Hsu Sham M. Kakade	3
+ PDF Chat	Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors	2021	Zhaoqiang Liu Subhroshekhar Ghosh Jonathan Scarlett	3
+	Generative Principal Component Analysis	2022	Zhaoqiang Liu Jiulong Liu Subhroshekhar Ghosh Jun Han Jonathan Scarlett	3
+	Instance-Optimal Compressed Sensing via Posterior Sampling	2021	Ajil Jalal Sushrut Karmalkar Alexandros G. Dimakis Eric Price	3
+	Robust Compressed Sensing using Generative Models	2020	Ajil Jalal Liu Liu Alexandros G. Dimakis Constantine Caramanis	3
+	Phase Retrieval Under a Generative Prior	2018	Paul Hand Oscar Leong Vladislav Voroninski	3
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	3
+ PDF Chat	Time for dithering: fast and quantized random embeddings via the restricted isometry property	2017	Laurent Jacques Valerio Cambareri	3
+	Lower Bounds for Compressed Sensing with Generative Models	2019	Akshay Kamath Sushrut Karmalkar Eric Price	3
+ PDF Chat	Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval	2019	Rakib Hyder Viraj Shah Chinmay Hegde M. Salman Asif	3
+	Structured Signal Recovery From Non-Linear and Heavy-Tailed Measurements	2018	Larry Goldstein Stanislav Minsker Xiaohan Wei	3
+ PDF Chat	Clustering with Spectral Norm and the k-Means Algorithm	2010	Amit Kumar Ravindran Kannan	3
+ PDF Chat	On the Convergence Properties of the EM Algorithm	1983	Changbao Wu	3
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	3
+	Structured Recovery with Heavy-tailed Measurements: A Thresholding Procedure and Optimal Rates	2018	Xiaohan Wei	3
+	Modeling Sparse Deviations for Compressed Sensing using Generative Models	2018	Manik Dhar Aditya Grover Stefano Ermon	3
+	Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation	2009	Andrzej Cichocki Rafał Zdunek Anh Huy Phan Шун-ичи Амари	3
+ PDF Chat	Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors	2013	Laurent Jacques Jason N. Laska Petros T. Boufounos Richard G. Baraniuk	3
+	Non-Gaussian Hyperplane Tessellations and Robust One-Bit Compressed Sensing	2018	Sjoerd Dirksen Shahar Mendelson	3