| Parametric robust structured control design P Apkarian, MN Dao, D Noll IEEE Transactions on Automatic Control 60 (7), 1857-1869, 2015 | 188 | 2015 |
| Cell-free massive MIMO for wireless federated learning TT Vu, DT Ngo, NH Tran, HQ Ngo, MN Dao, RH Middleton IEEE Transactions on Wireless Communications 19 (10), 6377-6392, 2020 | 173 | 2020 |
| A new look and convergence rate of federated multitask learning with laplacian regularization CT Dinh, TT Vu, NH Tran, MN Dao, H Zhang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 83* | 2022 |
| Regularizing with Bregman--Moreau envelopes HH Bauschke, MN Dao, SB Lindstrom SIAM Journal on Optimization 28 (4), 3208-3228, 2018 | 46 | 2018 |
| Dynamic V2I/V2V cooperative scheme for connectivity and throughput enhancement BL Nguyen, DT Ngo, NH Tran, MN Dao, HL Vu IEEE Transactions on Intelligent Transportation Systems 23 (2), 1236-1246, 2020 | 40 | 2020 |
| Adaptive Douglas--Rachford splitting algorithm for the sum of two operators MN Dao, HM Phan SIAM Journal on Optimization 29 (4), 2697-2724, 2019 | 35 | 2019 |
| Spectral and energy efficiency maximization for content-centric C-RANs with edge caching TT Vu, DT Ngo, MN Dao, S Durrani, RH Middleton IEEE Transactions on Communications 66 (12), 6628-6642, 2018 | 35 | 2018 |
| Extrapolated proximal subgradient algorithms for nonconvex and nonsmooth fractional programs RI Boţ, MN Dao, G Li Mathematics of Operations Research 47 (3), 2415-2443, 2022 | 33 | 2022 |
| Energy efficiency maximization for downlink cloud radio access networks with data sharing and data compression TT Vu, DT Ngo, MN Dao, S Durrani, DHN Nguyen, RH Middleton IEEE Transactions on Wireless Communications 17 (8), 4955-4970, 2018 | 33 | 2018 |
| Joint resource allocation to minimize execution time of federated learning in cell-free massive MIMO TT Vu, DT Ngo, HQ Ngo, MN Dao, NH Tran, RH Middleton IEEE Internet of Things Journal 9 (21), 21736-21750, 2022 | 32 | 2022 |
| On the finite convergence of the Douglas--Rachford algorithm for solving (not necessarily convex) feasibility problems in Euclidean spaces HH Bauschke, MN Dao SIAM Journal on Optimization 27 (1), 507-537, 2017 | 30 | 2017 |
| On Slater’s condition and finite convergence of the Douglas–Rachford algorithm for solving convex feasibility problems in Euclidean spaces HH Bauschke, MN Dao, D Noll, HM Phan Journal of Global Optimization 65, 329-349, 2016 | 29 | 2016 |
| Nonconvex bundle method with application to a delamination problem MN Dao, J Gwinner, D Noll, N Ovcharova Computational Optimization and Applications 65 (1), 173-203, 2016 | 29 | 2016 |
| Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems MN Dao, HM Phan Journal of Global Optimization 72, 443-474, 2018 | 27 | 2018 |
| Linear convergence of projection algorithms MN Dao, HM Phan Mathematics of Operations Research 44 (2), 715-738, 2019 | 26 | 2019 |
| A Lyapunov-type approach to convergence of the Douglas–Rachford algorithm for a nonconvex setting MN Dao, MK Tam Journal of Global Optimization 73 (1), 83-112, 2019 | 26 | 2019 |
| The Douglas-Rachford algorithm in the affine-convex case HH Bauschke, MN Dao, WM Moursi Operations Research Letters 44 (3), 379-382, 2016 | 25 | 2016 |
| Proximal point algorithm, Douglas-Rachford algorithm and alternating projections: a case study HH Bauschke, MN Dao, D Noll, HM Phan Journal of Convex Analysis 23 (1), 237-261, 2016 | 23 | 2016 |
| Conical averagedness and convergence analysis of fixed point algorithms S Bartz, MN Dao, HM Phan Journal of Global Optimization 82 (2), 351-373, 2022 | 22 | 2022 |
| Straggler effect mitigation for federated learning in cell-free massive MIMO TT Vu, DT Ngo, HQ Ngo, MN Dao, NH Tran, RH Middleton ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 21 | 2021 |
Thanh Tung VuResearch Fellow at Macquarie University在 mq.edu.au 的电子邮件经过验证
