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Richard Y Zhang
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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
292*2011
Simplified design method for litz wire
CR Sullivan, RY Zhang
2014 IEEE Applied Power Electronics Conference and Exposition-APEC 2014 …, 2014
2172014
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
942014
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
602019
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
562014
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
49*2018
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
462018
Sparse Semidefinite Programs with Guaranteed Near-Linear Time Complexity via Dualized Clique Tree Conversion
RY Zhang, J Lavaei
Mathematical Programming, 2020
45*2020
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
452018
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
28*2019
Fast simulation of complicated 3D structures above lossy magnetic media
R Zhang, J White, J Kassakian
IEEE Transactions on Magnetics 50 (10), 7027416, 2014
272014
Preconditioned gradient descent for over-parameterized nonconvex matrix factorization
J Zhang, S Fattahi, RY Zhang
Advances in Neural Information Processing Systems 34, 5985-5996, 2021
242021
Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime
RY Zhang
arXiv preprint arXiv:2104.10790, 2021
222021
On the tightness of semidefinite relaxations for certifying robustness to adversarial examples
R Zhang
Advances in Neural Information Processing Systems 33, 2020
212020
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
212015
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
192017
Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models
S Fattahi, RY Zhang, S Sojoudi
IEEE Access 7, 12658-12672, 2019
18*2019
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
162020
Improved Global Guarantees for the Nonconvex Burer--Monteiro Factorization via Rank Overparameterization
RY Zhang
arXiv preprint arXiv:2207.01789, 2022
152022
Large-Scale Traffic Signal Offset Optimization
Y Ouyang, RY Zhang, J Lavaei, P Varaiya
IEEE Transactions on Control of Network Systems, 2020
13*2020
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