| ProxSARAH: An efficient algorithmic framework for stochastic composite nonconvex optimization NH Pham, LM Nguyen, DT Phan, Q Tran-Dinh Journal of Machine Learning Research 21 (110), 1-48, 2020 | 148 | 2020 |
| Fully decentralized AC optimal power flow algorithms AX Sun, DT Phan, S Ghosh 2013 IEEE Power & Energy Society General Meeting, 1-5, 2013 | 121 | 2013 |
| Some Efficient Optimization Methods for Solving the Security-Constrained Optimal Power Flow Problem D Phan, J Kalagnanam IEEE Transactions on Power Systems 29 (99), 863-872, 2014 | 120 | 2014 |
| Lagrangian duality and branch-and-bound algorithms for optimal power flow DT Phan Operations Research 60 (2), 275-285, 2012 | 97 | 2012 |
| A unified convergence analysis for shuffling-type gradient methods LM Nguyen, Q Tran-Dinh, DT Phan, PH Nguyen, M Van Dijk Journal of Machine Learning Research 22 (207), 1-44, 2021 | 81 | 2021 |
| Fast algorithms for image reconstruction with application to partially parallel MR imaging Y Chen, W Hager, F Huang, D Phan, X Ye, W Yin SIAM Journal on Imaging Sciences 5 (1), 90-118, 2012 | 78 | 2012 |
| Finite-sum smooth optimization with SARAH LM Nguyen, M van Dijk, DT Phan, PH Nguyen, TW Weng, ... Computational Optimization and Applications 82 (3), 561-593, 2022 | 71* | 2022 |
| An exact algorithm for graph partitioning WW Hager, DT Phan, H Zhang Mathematical Programming 137 (1-2), 531-556, 2013 | 67 | 2013 |
| A hybrid stochastic optimization framework for composite nonconvex optimization Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen Mathematical Programming 191 (2), 1005-1071, 2022 | 66 | 2022 |
| Minimal impact corrective actions in security-constrained optimal power flow via sparsity regularization DT Phan, XA Sun IEEE Transactions on Power Systems 30 (4), 1947-1956, 2014 | 62 | 2014 |
| A scalable MIP-based method for learning optimal multivariate decision trees H Zhu, P Murali, D Phan, L Nguyen, J Kalagnanam Advances in neural information processing systems 33, 1771-1781, 2020 | 59 | 2020 |
| Hybrid stochastic gradient descent algorithms for stochastic nonconvex optimization Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen arXiv preprint arXiv:1905.05920, 2019 | 59 | 2019 |
| Two-stage stochastic optimization for optimal power flow under renewable generation uncertainty D Phan, S Ghosh ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (1), 1-22, 2014 | 57 | 2014 |
| Gradient-based methods for sparse recovery WW Hager, DT Phan, H Zhang SIAM Journal on Imaging Sciences 4 (1), 146-165, 2011 | 56 | 2011 |
| Asset health management using predictive and prescriptive analytics for the electric power grid A Goyal, E Aprilia, G Janssen, Y Kim, T Kumar, R Mueller, D Phan, ... IBM Journal of Research and Development 60 (1), 4: 1-4: 14, 2016 | 49 | 2016 |
| Quantification of axial abnormality due to cerebellar ataxia with inertial measurements N Nguyen, D Phan, PN Pathirana, M Horne, L Power, D Szmulewicz Sensors 18 (9), 2791, 2018 | 45 | 2018 |
| FedDR–randomized Douglas-Rachford splitting algorithms for nonconvex federated composite optimization Q Tran Dinh, NH Pham, D Phan, L Nguyen Advances in Neural Information Processing Systems 34, 30326-30338, 2021 | 42 | 2021 |
| Multi-task multi-modal models for collective anomaly detection T Idé, DT Phan, J Kalagnanam 2017 IEEE International Conference on Data Mining (ICDM), 177-186, 2017 | 35 | 2017 |
| Optimized asset maintenance and replacement schedule D Phan, JJ Xiong US Patent 9,959,514, 2018 | 34 | 2018 |
| Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems DT Phan, Y Zhu European Journal of Operational Research 245 (3), 797-804, 2015 | 34 | 2015 |
William HagerProfessor of Mathematics, University of FloridaVerified email at ufl.edu
