Minh N. Dao

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All published works

Action	Title	Year	Authors
+ PDF Chat	Solving Non-Monotone Inclusions Using Monotonicity of Pairs of Operators	2025	Ba Khiet Le Minh N. Dao Michel Théra
+ PDF Chat	Projected proximal gradient trust-region algorithm for nonsmooth optimization	2025	Minh N. Dao Hung M. Phan Lindon Roberts
+	Douglas–Rachford is the best projection method in its family	2024	Minh N. Dao Mareike Dressler Hongzhi Liao Vera Roshchina
+ PDF Chat	A distributed proximal splitting method with linesearch for locally Lipschitz data	2024	Felipe Atenas Minh N. Dao Matthew K. Tam
+	Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions	2024	Tan Nhat Pham Minh N. Dao Andrew Eberhard Nargiz Sultanova
+ PDF Chat	A proximal splitting algorithm for generalized DC programming with applications in signal recovery	2024	Tan Nhat Pham Minh N. Dao Nima Amjady Rakibuzzaman Shah
+ PDF Chat	Doubly relaxed forward-Douglas--Rachford splitting for the sum of two nonconvex and a DC function	2024	Minh N. Dao Tan Nhat Pham Phan Thanh Tung
+ PDF Chat	Joint User Association and Power Control for Cell-Free Massive MIMO	2024	Chongzheng Hao Tung T. Vu Hien Quoc Ngo Minh N. Dao Xiaoyu Dang Chenghua Wang Michail Matthaiou
+	Joint User Association and Power Control for Cell-Free Massive MIMO	2024	Chongzheng Hao Tung T. Vu Hien Quoc Ngo Minh N. Dao Xiaoyu Dang Chenghua Wang Michail Matthaiou
+	Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions	2024	Tan Nhat Pham Minh N. Dao Andrew Eberhard Nargiz Sultanova
+ PDF Chat	Locating Theorems of Differential Inclusions Governed by Maximally Monotone Operators	2023	Minh N. Dao Hassan Saoud Michel Théra
+ PDF Chat	A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems	2023	Tan Nhat Pham Minh N. Dao Rakibuzzaman Shah Nargiz Sultanova Guoyin Li Syed Islam
+ PDF Chat	Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Ratios Optimization Problems	2023	Radu Ioan Boţ Minh N. Dao Guoyin Li
+	Douglas--Rachford is the best projection method	2023	Minh N. Dao Mareike Dressler Hongzhi Liao Vera Roshchina
+ PDF Chat	A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization	2022	Canh T. Dinh Tung T. Vu Nguyen H. Tran Minh N. Dao Hongyu Zhang
+	Locating Theorems of Differential Inclusions Governed by Maximally Monotone Operators *	2022	Minh N. Dao Hassan Saoud Michel Théra
+ PDF Chat	VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations	2022	Ha Q. Nguyen Khanh Lam Linh Le Hieu H. Pham Dat Q. Tran Dung B. Nguyen Dung D. Le Chi M. Pham Hang T. T. Tong Diep H. Dinh
+ PDF Chat	Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO	2022	Tung T. Vu Duy T. Ngo Hien Quoc Ngo Minh N. Dao Nguyen H. Tran Richard H. Middleton
+ PDF Chat	Data Size-Aware Downlink Massive MIMO: A Session-Based Approach	2022	Tung T. Vu Hien Quoc Ngo Minh N. Dao Michail Matthaiou Erik G. Larsson
+ PDF Chat	Graph Augmentation Learning	2022	Shuo Yu Huafei Huang Minh N. Dao Feng Xia
+	Data Size-Aware Downlink Massive MIMO: A Session-Based Approach	2022	Tung T. Vu Hien Quoc Ngo Minh N. Dao Michail Matthaiou Erik G. Larsson
+	A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems	2022	Tan Nhat Pham Minh N. Dao Rakibuzzaman Shah Nargiz Sultanova Guoyin Li Syed Islam
+	Graph Augmentation Learning	2022	Shuo Yu Huafei Huang Minh N. Dao Feng Xia
+ PDF Chat	Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations	2022	Tung T. Vu Hien Quoc Ngo Minh N. Dao Duy T. Ngo Erik G. Larsson Tho Le‐Ngoc
+ PDF Chat	Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs	2021	Radu Ioan Boţ Minh N. Dao Guoyin Li
+ PDF Chat	Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups	2021	Tung T. Vu Hien Quoc Ngo Duy T. Ngo Minh N. Dao Erik G. Larsson
+ PDF Chat	An adaptive splitting algorithm for the sum of two generalized monotone operators and one cocoercive operator	2021	Minh N. Dao Hung M. Phan
+ PDF Chat	An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph	2021	Hieu H. Pham Ha Q. Nguyen Khanh Lam Linh Le Dung B. Nguyen Hieu Nguyen Tung Le Thắng Việt Nguyễn Minh N. Dao Van Vu
+	Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups.	2021	Tung T. Vu Hien Quoc Ngo Duy T. Ngo Minh N. Dao Erik G. Larsson
+ PDF Chat	Conical averagedness and convergence analysis of fixed point algorithms	2021	Sedi Bartz Minh N. Dao Hung M. Phan
+ PDF Chat	Generalized Bregman Envelopes and Proximity Operators	2021	Regina S. Burachik Minh N. Dao Scott B. Lindstrom
+	VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs	2021	Hieu Nguyen Hieu H. Pham Nghia T. Nguyen Ha Q. Nguyen Huỳnh Quyết Thắng Minh N. Dao Van Vu
+ PDF Chat	Constraint Reduction Reformulations for Projection Algorithms with Applications to Wavelet Construction	2021	Minh N. Dao Neil D. Dizon Jeffrey A. Hogan Matthew K. Tam
+	Generalized Bregman envelopes and proximity operators	2021	Regina S. Burachik Minh N. Dao Scott B. Lindstrom
+	FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization.	2021	Canh T. Dinh Tung T. Vu Nguyen H. Tran Minh N. Dao Hongyu Zhang
+ PDF Chat	The Generalized Bregman Distance	2021	Regina S. Burachik Minh N. Dao Scott B. Lindstrom
+	An adaptive splitting algorithm for the sum of three operators	2021	Minh N. Dao Hung M. Phan
+ PDF Chat	VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs	2021	Hieu Nguyen Hieu H. Pham Nghia T. Nguyen Ha Q. Nguyen Huỳnh Quyết Thắng Minh N. Dao Van Vu
+	Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations	2021	Tung T. Vu Hien Quoc Ngo Minh N. Dao Duy T. Ngo Erik G. Larsson Tho Le‐Ngoc
+	Generalized Bregman envelopes and proximity operators	2021	Regina S. Burachik Minh N. Dao Scott B. Lindstrom
+	Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups	2021	Tung T. Vu Hien Quoc Ngo Duy T. Ngo Minh N. Dao Erik G. Larsson
+	A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization	2021	Canh T. Dinh Tung T. Vu Nguyen H. Tran Minh N. Dao Hongyu Zhang
+	Inertial Proximal Block Coordinate Method for a Class of Nonsmooth and Nonconvex Sum-of-Ratios Optimization Problems	2020	Radu Ioan Boţ Minh N. Dao Guoyin Li
+	User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks.	2020	Tung T. Vu Duy T. Ngo Hien Quoc Ngo Minh N. Dao Nguyen H. Tran Richard H. Middleton
+ PDF Chat	Cell-Free Massive MIMO for Wireless Federated Learning	2020	Tung T. Vu Duy T. Ngo Nguyen H. Tran Hien Quoc Ngo Minh N. Dao Richard H. Middleton
+	Constraint reduction reformulations for projection algorithms with applications to wavelet construction	2020	Minh N. Dao Neil D. Dizon Jeffrey A. Hogan Matthew K. Tam
+	Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Ratios Optimization Problems	2020	Radu Ioan Boţ Minh N. Dao Guoyin Li
+	Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO	2020	Tung T. Vu Duy T. Ngo Hien Quoc Ngo Minh N. Dao Nguyen H. Tran Richard H. Middleton
+	Conical averagedness and convergence analysis of fixed point algorithms	2019	Sedi Bartz Minh N. Dao Hung M. Phan
+	Cell-Free Massive MIMO for Wireless Federated Learning	2019	Tung T. Vu Duy T. Ngo Nguyen H. Tran Hien Quoc Ngo Minh N. Dao Richard H. Middleton
+	The Generalized Bregman Distance	2019	Regina S. Burachik Minh N. Dao Scott B. Lindstrom
+ PDF Chat	Computing the resolvent of the sum of operators with application to best approximation problems	2019	Minh N. Dao Hung M. Phan
+ PDF Chat	Linear Convergence of Projection Algorithms	2019	Minh N. Dao Hung M. Phan
+ PDF Chat	The Douglas–Rachford algorithm for a hyperplane and a doubleton	2019	Heinz H. Bauschke Minh N. Dao Scott B. Lindstrom
+ PDF Chat	Adaptive Douglas--Rachford Splitting Algorithm for the Sum of Two Operators	2019	Minh N. Dao Hung M. Phan
+	Conical averagedness and convergence analysis of fixed point algorithms	2019	Sedi Bartz Minh N. Dao Hung M. Phan
+	Cell-Free Massive MIMO for Wireless Federated Learning	2019	Tung T. Vu Duy T. Ngo Nguyen H. Tran Hien Quoc Ngo Minh N. Dao Richard H. Middleton
+	The Generalized Bregman Distance	2019	Regina S. Burachik Minh N. Dao Scott B. Lindstrom
+ PDF Chat	Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions	2018	Minh N. Dao Matthew K. Tam
+	Computing the resolvent of the sum of operators with application to best approximation problems	2018	Minh N. Dao Hung M. Phan
+ PDF Chat	A Lyapunov-type approach to convergence of the Douglas–Rachford algorithm for a nonconvex setting	2018	Minh N. Dao Matthew K. Tam
+ PDF Chat	Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems	2018	Minh N. Dao Hung M. Phan
+ PDF Chat	Regularizing with Bregman--Moreau Envelopes	2018	Heinz H. Bauschke Minh N. Dao Scott B. Lindstrom
+	Computing the resolvent of the sum of operators with application to best approximation problems	2018	Minh N. Dao Hung M. Phan
+	On the generalized Douglas-Rachford algorithm for feasibility problems	2017	Minh N. Dao Hung M. Phan
+ PDF Chat	On the Finite Convergence of the Douglas--Rachford Algorithm for Solving (Not Necessarily Convex) Feasibility Problems in Euclidean Spaces	2017	Heinz H. Bauschke Minh N. Dao
+ PDF Chat	The Douglas–Rachford algorithm in the affine-convex case	2016	Heinz H. Bauschke Minh N. Dao Walaa M. Moursi
+ PDF Chat	Nonconvex bundle method with application to a delamination problem	2016	Minh N. Dao Joachim Gwinner Dominikus Noll Nina Ovcharova
+ PDF Chat	Collaborative Multi-Sensor Classification Via Sparsity-Based Representation	2016	Minh N. Dao Nam Nguyen Nasser M. Nasrabadi Trac D. Tran
+ PDF Chat	Proximal point algorithm, Douglas–Rachford algorithm and alternating projections: a case study	2016	Heinz H. Bauschke Minh N. Dao Dominikus Noll Hung M. Phan
+	Detecting Burnscar from Hyperspectral Imagery via Sparse Representation with Low-Rank Interference	2016	Minh N. Dao Xiang Xiang Bulent Ayhan Chiman Kwan Trac D. Tran
+ PDF Chat	On Slater’s condition and finite convergence of the Douglas–Rachford algorithm for solving convex feasibility problems in Euclidean spaces	2015	Heinz H. Bauschke Minh N. Dao Dominikus Noll Hung M. Phan
+ PDF Chat	Hierarchical Sparse and Collaborative Low-Rank representation for emotion recognition	2015	Xiang Xiang Minh N. Dao Gregory D. Hager Trac D. Tran
+	Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors	2015	Hojjat Seyed Mousavi Umamahesh Srinivas Vishal Monga Yuanming Suo Minh N. Dao Trac D. Tran
+ PDF Chat	Parametric Robust Structured Control Design	2015	Pierre Apkarian Minh N. Dao Dominikus Noll
+	On Fejér monotone sequences and nonexpansive mappings	2015	Heinz H. Bauschke Minh N. Dao Walaa M. Moursi
+ PDF Chat	Multi-task image classification via collaborative, hierarchical spike-and-slab priors	2014	Hojjat Seyed Mousavi Umamahesh Srinivas Vishal Monga Yuanming Suo Minh N. Dao Trac D. Tran
+	Structured Dictionary Learning for Classification	2014	Yuanming Suo Minh N. Dao Umamahesh Srinivas Vishal Monga Trac D. Tran
+	Collaborative Multi-sensor Classification via Sparsity-based Representation	2014	Minh N. Dao Nam Nguyen Nasser M. Nasrabadi Trac D. Tran
+	Minimizing the memory of a system	2013	Minh N. Dao Dominikus Noll
+	Optimized Eigenstructure Assignment	2013	Minh N. Dao Dominikus Noll Pierre Apkarian

Common Coauthors

Coauthor	Papers Together
Tung T. Vu	18
Hung M. Phan	15
Hien Quoc Ngo	15
Duy T. Ngo	11
Nguyen H. Tran	9
Scott B. Lindstrom	8
Heinz H. Bauschke	7
Erik G. Larsson	7
Trac D. Tran	7
Richard H. Middleton	6
Regina S. Burachik	6
Tan Nhat Pham	6
Guoyin Li	6
Dominikus Noll	6
Matthew K. Tam	5
Hieu H. Pham	4
Michail Matthaiou	4
Radu Ioan Boţ	4
Nargiz Sultanova	4
Van Vu	4
Yuanming Suo	3
Canh T. Dinh	3
Hieu Nguyen	3
Ha Q. Nguyen	3
Michel Théra	3
Rakibuzzaman Shah	3
Vishal Monga	3
Sedi Bartz	3
Hongyu Zhang	3
Nghia T. Nguyen	3
Umamahesh Srinivas	3
Dung B. Nguyen	2
Hassan Saoud	2
Andrew Eberhard	2
Nasser M. Nasrabadi	2
Tho Le‐Ngoc	2
Walaa M. Moursi	2
Hongzhi Liao	2
Pierre Apkarian	2
Vera Roshchina	2
Syed Islam	2
Chenghua Wang	2
Jeffrey A. Hogan	2
Xiang Xiang	2
Neil D. Dizon	2
Khanh Lam	2
Huỳnh Quyết Thắng	2
Huafei Huang	2
Chongzheng Hao	2
Hojjat Seyed Mousavi	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes	22
+	Splitting Algorithms for the Sum of Two Nonlinear Operators	1979	Pierre‐Louis Lions Bertrand Mercier	18
+ PDF Chat	On the numerical solution of heat conduction problems in two and three space variables	1956	Jim Douglas H.H. Rachford	14
+	Variational Analysis	1998	R. T. Rockafellar Roger J.‐B. Wets	11
+ PDF Chat	Linear convergence of the Douglas–Rachford method for two closed sets	2015	Hung M. Phan	11
+	Linear and strong convergence of algorithms involving averaged nonexpansive operators	2014	Heinz H. Bauschke Dominikus Noll Hung M. Phan	10
+ PDF Chat	On the Finite Convergence of the Douglas--Rachford Algorithm for Solving (Not Necessarily Convex) Feasibility Problems in Euclidean Spaces	2017	Heinz H. Bauschke Minh N. Dao	9
+	Finding best approximation pairs relative to two closed convex sets in Hilbert spaces	2004	Heinz H. Bauschke Patrick L. Combettes D. Lüke	9
+ PDF Chat	The Douglas–Rachford algorithm in the affine-convex case	2016	Heinz H. Bauschke Minh N. Dao Walaa M. Moursi	8
+ PDF Chat	On Slater’s condition and finite convergence of the Douglas–Rachford algorithm for solving convex feasibility problems in Euclidean spaces	2015	Heinz H. Bauschke Minh N. Dao Dominikus Noll Hung M. Phan	8
+ PDF Chat	Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems	2018	Minh N. Dao Hung M. Phan	8
+	Technical Note—A General Inner Approximation Algorithm for Nonconvex Mathematical Programs	1978	Barry R. Marks Gordon P. Wright	8
+ PDF Chat	Linear Convergence of Projection Algorithms	2019	Minh N. Dao Hung M. Phan	8
+ PDF Chat	On Weak Convergence of the Douglas–Rachford Method	2011	B. F. Svaiter	7
+ PDF Chat	Nonconvex Notions of Regularity and Convergence of Fundamental Algorithms for Feasibility Problems	2013	Robert Hesse D. Lüke	7
+ PDF Chat	Cell-Free Massive MIMO for Wireless Federated Learning	2020	Tung T. Vu Duy T. Ngo Nguyen H. Tran Hien Quoc Ngo Minh N. Dao Richard H. Middleton	7
+ PDF Chat	On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators	1992	Jonathan Eckstein Dimitri P. Bertsekas	7
+	Set-Valued Mappings and Enlargements of Monotone Operators	2007	Regina S. Burachik Alfredo N. Iusem	6
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2011	Heinz H. Bauschke Patrick L. Combettes	6
+ PDF Chat	Cell-Free Massive MIMO Versus Small Cells	2017	Hien Quoc Ngo Alexei Ashikhmin Hong Yang Erik G. Larsson Thomas L. Marzetta	6
+ PDF Chat	A Lyapunov-type approach to convergence of the Douglas–Rachford algorithm for a nonconvex setting	2018	Minh N. Dao Matthew K. Tam	6
+	The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming	1967	L.M. Bregman	6
+ PDF Chat	On gradients of functions definable in o-minimal structures	1998	Krzysztof Kurdyka	6
+ PDF Chat	On Projection Algorithms for Solving Convex Feasibility Problems	1996	Heinz H. Bauschke Jonathan M. Borwein	6
+	The rate of linear convergence of the Douglas–Rachford algorithm for subspaces is the cosine of the Friedrichs angle	2014	Heinz H. Bauschke Yunier Bello-Cruz T. T. A. Nghia Hung M. Phan Xianfu Wang	6
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	6
+	Convergence Analysis of a Proximal-Like Minimization Algorithm Using Bregman Functions	1993	Gong Chen Marc Teboulle	5
+ PDF Chat	C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework	2011	Pablo Sprechmann Ignacio Méndez Ramírez Guillermo Sapiro Yonina C. Eldar	5
+	On a generalized proximal point method for solving equilibrium problems in Banach spaces	2012	Regina S. Burachik G. Kassay	5
+	Proximal minimization algorithm withD-functions	1992	Yair Censor Stavros A. Zenios	5
+	Solving monotone inclusions via compositions of nonexpansive averaged operators	2004	Patrick L. Combettes	5
+	The Douglas–Rachford Algorithm in the Absence of Convexity	2011	Jonathan M. Borwein Brailey Sims	5
+ PDF Chat	A Cyclic Douglas–Rachford Iteration Scheme	2013	Jonathan M. Borwein Matthew K. Tam	5
+ PDF Chat	Proximal Minimization Methods with Generalized Bregman Functions	1997	Krzysztof C. Kiwiel	5
+ PDF Chat	Joint minimization with alternating Bregman proximity operators	2006	Heinz H. Bauschke Patrick L. Combettes Dominikus Noll	5
+ PDF Chat	Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges	2020	Solmaz Niknam Harpreet S. Dhillon Jeffrey H. Reed	5
+ PDF Chat	Local Linear Convergence for Alternating and Averaged Nonconvex Projections	2008	Adrian S. Lewis D. Lüke Jérôme Malick	5
+ PDF Chat	Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs	2021	Radu Ioan Boţ Minh N. Dao Guoyin Li	5
+ PDF Chat	Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation	2019	Emil Björnson Luca Sanguinetti	5
+ PDF Chat	Proximal point algorithm, Douglas–Rachford algorithm and alternating projections: a case study	2016	Heinz H. Bauschke Minh N. Dao Dominikus Noll Hung M. Phan	5
+	Monotone Operators and the Proximal Point Algorithm	1976	R. T. Rockafellar	5
+	Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data	2019	Felix Sattler Simon Wiedemann Klaus‐Robert Müller Wojciech Samek	5
+	The method of successive projection for finding a common point of convex sets	1965	L.M. Bregman	5
+ PDF Chat	Nonsmooth H<sub>∞</sub>Synthesis	2006	Pierre Apkarian Dominikus Noll	4
+ PDF Chat	On the Douglas–Rachford algorithm	2016	Heinz H. Bauschke Walaa M. Moursi	4
+	Decomposition through formalization in a product space	1984	Guy Pierra	4
+	A Generalized Proximal Point Algorithm for the Variational Inequality Problem in a Hilbert Space	1998	Regina S. Burachik Alfredo N. Iusem	4
+ PDF Chat	Tight global linear convergence rate bounds for Douglas–Rachford splitting	2017	Pontus Giselsson	4
+ PDF Chat	Adaptive Douglas--Rachford Splitting Algorithm for the Sum of Two Operators	2019	Minh N. Dao Hung M. Phan	4
+	None	2001	Charles L. Byrne Yair Censor	4