| Fenchel dual gradient methods for distributed convex optimization over time-varying networks X Wu, J Lu IEEE Transactions on Automatic Control 64 (11), 4629-4636, 2019 | 43 | 2019 |
| Distributed Optimization with Coupling Constraints X Wu, H Wang, J Lu IEEE Transactions on Automatic Control, 2022 | 14 | 2022 |
| A New Family of Feasible Methods for Distributed Resource Allocation X Wu, S Magnusson, M Johansson 2021 IEEE Conference on Decision and Control (CDC), 3355-3360, 2021 | 14 | 2021 |
| A unifying approximate method of multipliers for distributed composite optimization X Wu, J Lu IEEE Transactions on Automatic Control 68 (4), 2154-2169, 2022 | 10 | 2022 |
| A Second-Order Proximal Algorithm for Consensus Optimization X Wu, Z Qu, J Lu IEEE Transactions on Automatic Control 66 (4), 1864-1871, 2020 | 8 | 2020 |
| Delay-adaptive step-sizes for asynchronous learning X Wu, S Magnusson, HR Feyzmahdavian, M Johansson ICML 162, 24093-24113, 2022 | 7 | 2022 |
| Decentralized Approximate Newton Methods for Convex Optimization on Networked Systems H Wei, Z Qu, X Wu, H Wang, J Lu IEEE Transactions on Control of Network Systems, 2021 | 6* | 2021 |
| Asynchronous Distributed Optimization with Delay-free Parameters X Wu, C Liu, S Magnusson, M Johansson arXiv preprint arXiv:2312.06508, 2023 | 5* | 2023 |
| Distributed optimization over time-varying networks with minimal connectivity X Wu, J Lu IEEE Control Systems Letters 4 (3), 536-541, 2020 | 5 | 2020 |
| Distributed safe resource allocation using barrier functions X Wu, S Magnússon, M Johansson Automatica 153, 111051, 2023 | 4 | 2023 |
| Finite-time-consensus-based methods for distributed optimization Z Qu, X Wu, J Lu 2019 Chinese Control Conference (CCC), 5764-5769, 2019 | 4 | 2019 |
| Deterministic coordinate descent algorithms for smooth convex optimization X Wu, J Lu 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 709-714, 2017 | 4 | 2017 |
| Improved convergence rates of P-EXTRA for non-smooth distributed optimization X Wu, J Lu 2019 IEEE 15th International Conference on Control and Automation (ICCA), 55-60, 2019 | 3 | 2019 |
| Delay-agnostic Asynchronous Coordinate Update Algorithm X Wu, C Liu, S Magnusson, M Johansson International Conference on Machine Learning (ICML), 2023 | 2 | 2023 |
| A distributed proximal primal-dual algorithm for nonsmooth optimization with coupling constraints X Wu, H Wang, J Lu 2020 59th IEEE Conference on Decision and Control (CDC), 3657-3662, 2020 | 2 | 2020 |
| Distributed Fenchel Dual Gradient Methods Enabling a Smoothing Technique for Nonsmooth Optimization X Wu, KC Sou, J Lu 2018 IEEE Conference on Decision and Control (CDC), 1757-1762, 2018 | 2 | 2018 |
| Rate analysis of dual averaging for nonconvex distributed optimization C Liu, X Wu, X Yi, Y Shi, KH Johansson IFAC-PapersOnLine 56 (2), 5209-5214, 2023 | 1 | 2023 |
| Optimal convergence rates of totally asynchronous optimization X Wu, S Magnússon, HR Feyzmahdavian, M Johansson 2022 IEEE 61st Conference on Decision and Control (CDC), 6484-6490, 2022 | 1 | 2022 |
| Supplementary material for convergence analysis of DRRA X Wu, S Magnússon, M Johansson Technical Report, 2021 | 1 | 2021 |
| Achieving violation-free distributed optimization under coupling constraints C Liu, X Tan, X Wu, DV Dimarogonas, KH Johansson arXiv preprint arXiv:2404.07609, 2024 | | 2024 |
Jie LuShanghaiTech UniversityVerified email at shanghaitech.edu.cn
