| The future of the electric grid JG Kassakian, R Schmalensee, G Desgroseilliers, TD Heidel, K Afridi, ... Massachusetts Institute of Technology, Tech. Rep, 197-234, 2011 | 266* | 2011 |
| Simplified design method for litz wire CR Sullivan, RY Zhang 2014 IEEE Applied Power Electronics Conference and Exposition-APEC 2014 …, 2014 | 161 | 2014 |
| Analytical model for effects of twisting on litz-wire losses CR Sullivan, RY Zhang Control and Modeling for Power Electronics (COMPEL), 2014 IEEE 15th Workshop …, 2014 | 69 | 2014 |
| A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization C Josz, Y Ouyang, RY Zhang, J Lavaei, S Sojoudi Advances in Neural Information Processing Systems, 2018 | 43* | 2018 |
| Realistic litz wire characterization using fast numerical simulations RY Zhang, JK White, JG Kassakian, CR Sullivan 2014 IEEE Applied Power Electronics Conference and Exposition-APEC 2014, 738-745, 2014 | 39 | 2014 |
| Sharp restricted isometry bounds for the inexistence of spurious local minima in nonconvex matrix recovery RY Zhang, S Sojoudi, J Lavaei Journal of Machine Learning Research 20 (114), 1-34, 2019 | 38 | 2019 |
| How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? RY Zhang, C Josz, S Sojoudi, J Lavaei Advances in Neural Information Processing Systems, 2018 | 37 | 2018 |
| Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion RY Zhang, S Fattahi, S Sojoudi International Conference on Machine Learning, 2018 | 35* | 2018 |
| Fast simulation of complicated 3D structures above lossy magnetic media R Zhang, J White, J Kassakian IEEE Transactions on Magnetics 50 (10), 7027416, 2014 | 20 | 2014 |
| Sparse Semidefinite Programs with Guaranteed Near-Linear Time Complexity via Dualized Clique Tree Conversion RY Zhang, J Lavaei Mathematical Programming, 2020 | 18* | 2020 |
| Spurious local minima in power system state estimation RY Zhang, J Lavaei, R Baldick IEEE Transactions on Control of Network Systems 6 (3), 1086-1096, 2019 | 18* | 2019 |
| Robust small signal stability for microgrids under uncertainty J Elizondo, RY Zhang, JK White, JL Kirtley 2015 IEEE 6th International Symposium on Power Electronics for Distributed …, 2015 | 16 | 2015 |
| Modified interior-point method for large-and-sparse low-rank semidefinite programs RY Zhang, J Lavaei 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5640-5647, 2017 | 15 | 2017 |
| On the tightness of semidefinite relaxations for certifying robustness to adversarial examples R Zhang Advances in Neural Information Processing Systems 33, 2020 | 11 | 2020 |
| Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models S Fattahi, RY Zhang, S Sojoudi IEEE Access 7, 12658-12672, 2019 | 11* | 2019 |
| Large-Scale Traffic Signal Offset Optimization Y Ouyang, RY Zhang, J Lavaei, P Varaiya IEEE Transactions on Control of Network Systems, 2020 | 9* | 2020 |
| GMRES-Accelerated ADMM for Quadratic Objectives RY Zhang, JK White SIAM Journal on Optimization 28 (4), 3025-3056, 2018 | 8 | 2018 |
| Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime RY Zhang arXiv preprint arXiv:2104.10790, 2021 | 7 | 2021 |
| Inertial and frequency response of microgrids with induction motors J Elizondo, RY Zhang, PH Huang, JK White, JL Kirtley Control and Modeling for Power Electronics (COMPEL), 2016 IEEE 17th Workshop …, 2016 | 7 | 2016 |
| How many samples is a good initial point worth in Low-rank Matrix Recovery? J Zhang, R Zhang Advances in Neural Information Processing Systems 33, 2020 | 6 | 2020 |
Javad LavaeiAssociate Professor, UC BerkeleyAdresse e-mail validée de berkeley.edu
