Minh N. Dao

46 papers B 1Journal 40Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization.
J. Optim. Theory Appl.
Xian-Jun Long, Kang Zeng, Gao-Xi Li, Minh N. Dao, Zai-Yun Peng
2025 J jnl
A proximal splitting algorithm for generalized DC programming with applications in signal recovery.
Eur. J. Oper. Res.
Tan Nhat Pham, Minh N. Dao, Nima Amjady, Rakibuzzaman Shah
2025 J jnl
Doubly relaxed forward-Douglas-Rachford splitting for the sum of two nonconvex and a DC function.
J. Sci. Comput.
Minh N. Dao, Tan Nhat Pham, Phan Thanh Tung
2025 J jnl
Solving Non-Monotone Inclusions Using Monotonicity of Pairs of Operators.
J. Optim. Theory Appl.
Ba Khiet Le, Minh N. Dao, Michel A. Théra
2024 J jnl
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang
2024 J jnl
Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions.
J. Optim. Theory Appl.
Tan Nhat Pham, Minh N. Dao, Andrew C. Eberhard, Nargiz Sultanova
2024 J jnl
Joint User Association and Power Control for Cell-Free Massive MIMO.
CoRR
Chongzheng Hao, Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Xiaoyu Dang, Chenghua Wang, Michail Matthaiou
2024 J jnl
Joint User Association and Power Control for Cell-Free Massive MIMO.
IEEE Internet Things J.
Chongzheng Hao, Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Xiaoyu Dang, Chenghua Wang, Michail Matthaiou
2023 J jnl
A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems.
Numer. Algorithms
Tan Nhat Pham, Minh N. Dao, Rakibuzzaman Shah, Nargiz Sultanova, Guoyin Li, Syed Mofizul Islam
2023 J jnl
Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Ratios Optimization Problems.
SIAM J. Optim.
Radu Ioan Bot, Minh N. Dao, Guoyin Li
2023 J jnl
Locating Theorems of Differential Inclusions Governed by Maximally Monotone Operators.
SIAM J. Optim.
Minh N. Dao, Hassan Saoud, Michel A. Théra
2023 — conf
Multipair DF Relaying with Network-Assisted Full-Duplex Cell-Free Massive MIMO.
EUSIPCO
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Erik G. Larsson
2023 — conf
User Association and Power Control in Cell-Free Massive MIMO with the APG Method.
EUSIPCO
Chongzheng Hao, Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Xiaoyu Dang, Michail Matthaiou
2022 J jnl
Conical averagedness and convergence analysis of fixed point algorithms.
J. Glob. Optim.
Sedi Bartz, Minh N. Dao, Hung M. Phan
2022 J jnl
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach.
CoRR
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Michail Matthaiou, Erik G. Larsson
2022 J jnl
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach.
IEEE Wirel. Commun. Lett.
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Michail Matthaiou, Erik G. Larsson
2022 J jnl
Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement.
IEEE Trans. Intell. Transp. Syst.
Bach Long Nguyen, Duy Trong Ngo, Nguyen Hoang Tran, Minh N. Dao, Hai L. Vu
2022 J jnl
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations.
IEEE Open J. Commun. Soc.
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Duy Trong Ngo, Erik G. Larsson, Tho Le-Ngoc
2022 J jnl
Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs.
Math. Oper. Res.
Radu Ioan Bot, Minh N. Dao, Guoyin Li
2022 — conf
Graph Augmentation Learning.
WWW (Companion Volume)
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
2022 J jnl
Graph Augmentation Learning.
CoRR
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
2022 J jnl
Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks.
IEEE Trans. Intell. Transp. Syst.
Bach Long Nguyen, Duy Trong Ngo, Minh N. Dao, Vo Nguyen Quoc Bao, Hai L. Vu
2021 J jnl
Constraint Reduction Reformulations for Projection Algorithms with Applications to Wavelet Construction.
J. Optim. Theory Appl.
Minh N. Dao, Neil D. Dizon, Jeffrey A. Hogan, Matthew K. Tam
2021 J jnl
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations.
CoRR
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Duy T. Ngo, Erik G. Larsson, Tho Le-Ngoc
2021 B conf
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups.
GLOBECOM
Tung Thanh Vu, Hien Quoc Ngo, Duy T. Ngo, Minh N. Dao, Erik G. Larsson
2021 J jnl
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups.
CoRR
Tung Thanh Vu, Hien Quoc Ngo, Duy T. Ngo, Minh N. Dao, Erik G. Larsson
2021 J jnl
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization.
CoRR
Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang
2021 J jnl
Generalized Bregman Envelopes and Proximity Operators.
J. Optim. Theory Appl.
Regina Sandra Burachik, Minh N. Dao, Scott B. Lindstrom
2021 — conf
Straggler Effect Mitigation for Federated Learning in Cell-Free Massive MIMO.
ICC
Tung Thanh Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen Hoang Tran, Richard H. Middleton
2021 J jnl
The Generalized Bregman Distance.
SIAM J. Optim.
Regina Sandra Burachik, Minh N. Dao, Scott B. Lindstrom
2020 J jnl
A Joint Scheduling and Power Control Scheme for Hybrid I2V/V2V Networks.
IEEE Trans. Veh. Technol.
Bach Long Nguyen, Duy Trong Ngo, Minh N. Dao, Quang-Thang Duong, Minoru Okada
2020 J jnl
Computing the resolvent of the sum of operators with application to best approximation problems.
Optim. Lett.
Minh N. Dao, Hung M. Phan
2020 J jnl
Energy-Efficient Full-Duplex Enabled Cloud Radio Access Networks.
IEICE Trans. Commun.
Tung Thanh Vu, Duy Trong Ngo, Minh N. Dao, Quang-Thang Duong, Minoru Okada, Hung Nguyen-Le, Richard H. Middleton
2020 J jnl
User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks.
CoRR
Tung Thanh Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen Hoang Tran, Richard H. Middleton
2019 J jnl
A Lyapunov-type approach to convergence of the Douglas-Rachford algorithm for a nonconvex setting.
J. Glob. Optim.
Minh N. Dao, Matthew K. Tam
2019 J jnl
Adaptive Douglas-Rachford Splitting Algorithm for the Sum of Two Operators.
SIAM J. Optim.
Minh N. Dao, Hung M. Phan
2019 J jnl
Cell-Free Massive MIMO for Wireless Federated Learning.
CoRR
Tung Thanh Vu, Duy T. Ngo, Nguyen Hoang Tran, Hien Quoc Ngo, Minh N. Dao, Richard H. Middleton
2019 J jnl
Linear Convergence of Projection Algorithms.
Math. Oper. Res.
Minh N. Dao, Hung M. Phan
2019 J jnl
The Douglas-Rachford algorithm for a hyperplane and a doubleton.
J. Glob. Optim.
Heinz H. Bauschke, Minh N. Dao, Scott B. Lindstrom
2019 J jnl
Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions.
J. Optim. Theory Appl.
Minh N. Dao, Matthew K. Tam
2018 J jnl
Energy Efficiency Maximization for Downlink Cloud Radio Access Networks With Data Sharing and Data Compression.
IEEE Trans. Wirel. Commun.
Tung Thanh Vu, Duy Trong Ngo, Minh N. Dao, Salman Durrani, Duy H. N. Nguyen, Richard H. Middleton
2018 — conf
Energy-Efficient Design for Downlink Cloud Radio Access Networks.
ICC
Tung Thanh Vu, Duy T. Ngo, Minh N. Dao, Salman Durrani, Duy H. N. Nguyen, Richard H. Middleton
2018 J jnl
Linear convergence of the generalized Douglas-Rachford algorithm for feasibility problems.
J. Glob. Optim.
Minh N. Dao, Hung M. Phan
2018 J jnl
Regularizing with Bregman-Moreau Envelopes.
SIAM J. Optim.
Heinz H. Bauschke, Minh N. Dao, Scott B. Lindstrom
2017 J jnl
On the Finite Convergence of the Douglas-Rachford Algorithm for Solving (Not Necessarily Convex) Feasibility Problems in Euclidean Spaces.
SIAM J. Optim.
Heinz H. Bauschke, Minh N. Dao
2016 J jnl
The Douglas-Rachford algorithm in the affine-convex case.
Oper. Res. Lett.
Heinz H. Bauschke, Minh N. Dao, Walaa M. Moursi