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Zheng Zhang
Zheng Zhang
Associate Professor of ECE, UCSB
Verified email at ece.ucsb.edu - Homepage
Title
Cited by
Cited by
Year
Stochastic testing method for transistor-level uncertainty quantification based on generalized polynomial chaos
Z Zhang, TA El-Moselhy, IM Elfadel, L Daniel
(Best Paper Award) IEEE Transactions on Computer-Aided Design of Integrated …, 2013
2052013
Tucker Tensor Decomposition on FPGA
K Zhang, X Zhang, Z Zhang
ACM/IEEE International Conference on Computer Aided Design, 8 pages, 2019
135*2019
Enabling high-dimensional hierarchical uncertainty quantification by ANOVA and tensor-train decomposition
Z Zhang, X Yang, IV Oseledets, GE Karniadakis, L Daniel
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions …, 2015
1352015
Big-Data Tensor Recovery for High-Dimensional Uncertainty Quantification of Process Variations
Z Zhang, TW Weng, L Daniel
(Best Paper Award) IEEE Transactions on Components, Packaging and …, 2017
742017
Design space exploration for sparse matrix‐matrix multiplication on FPGAs
CY Lin, Z Zhang, N Wong, HKH So
Field-Programmable Technology (FPT), International Conference on, 369-372, 2010
672010
A Bayesian approach for parameter estimation with uncertainty for dynamic power systems
N Petra, CG Petra, Z Zhang, EM Constantinescu, M Anitescu
IEEE Transactions on Power Systems 32 (4), 2735-2743, 2017
632017
Uncertainty quantification of silicon photonic devices with correlated and non-Gaussian random parameters
TW Weng, Z Zhang, Z Su, Y Marzouk, A Melloni, L Daniel
Optics express 23 (4), 4242-4254, 2015
612015
Oscillator Array Models for Associative Memory and Pattern Recognition
P Maffezzoni, B Bahr, Z Zhang, L Daniel
IEEE Transactions on Circuits and Systems I: Regular Papers 62 (6), 1591-1598, 2015
602015
Stochastic collocation with non-Gaussian correlated process variations: Theory, algorithms and applications
C Cui, Z Zhang
(Best Paper Award) IEEE Transactions on Components, Packaging and …, 2019
482019
Tensor computation: A new framework for high-dimensional problems in EDA
Z Zhang, K Batselier, H Liu, L Daniel, N Wong
(Invited Keynote Paper) IEEE Transactions on Computer-Aided Design of …, 2017
472017
Bayesian tensorized neural networks with automatic rank selection
C Hawkins, Z Zhang
Neurocomputing 453, 172-180, 2021
452021
Probabilistic load flow methodology for distribution networks including loads uncertainty
G Gruosso, P Maffezzoni, Z Zhang, L Daniel
International Journal of Electrical Power & Energy Systems 106, 392-400, 2019
442019
Calculation of generalized polynomial-chaos basis functions and Gauss quadrature rules in hierarchical uncertainty quantification
Z Zhang, TA El-Moselhy, I Elfadel, L Daniel
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions …, 2014
402014
Uncertainty-aware computational tools for power distribution networks including electrical vehicle charging and load profiles
G Gruosso, GS Gajani, Z Zhang, L Daniel, P Maffezzoni
IEEE Access 7, 9357-9367, 2019
382019
Bayesian inference with certifiable adversarial robustness
M Wicker, L Laurenti, A Patane, Z Chen, Z Zhang, M Kwiatkowska
International Conference on Artificial Intelligence and Statistics, 2431-2439, 2021
372021
An efficient projector-based passivity test for descriptor systems
Z Zhang, N Wong
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2010
352010
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks
C Cui, K Zhang, T Daulbaev, J Gusak, I Oseledets, Z Zhang
SIAM Journal on Mathematics of Data Science 2 (4), 1096-1122, 2020
342020
Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques
Z Zhang, X Yang, G Marucci, P Maffezzoni, IAM Elfadel, G Karniadakis, ...
Proceedings of the IEEE 2014 Custom Integrated Circuits Conference, 1-8, 2014
342014
Variational bayesian inference for robust streaming tensor factorization and completion
C Hawkins, Z Zhang
2018 IEEE International Conference on Data Mining (ICDM), 1446-1451, 2018
32*2018
Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination
C Hawkins, X Liu, Z Zhang
SIAM Journal on Mathematics of Data Science 4 (1), 46–71, 2022
292022
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