| 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 | 213 | 2013 |
| Tucker Tensor Decomposition on FPGA K Zhang, X Zhang, Z Zhang ACM/IEEE International Conference on Computer Aided Design, 8 pages, 2019 | 174* | 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 | 138 | 2015 |
| 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 | 80 | 2017 |
| 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 | 77 | 2017 |
| 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 | 73 | 2010 |
| 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 | 67 | 2015 |
| 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 | 62 | 2015 |
| Bayesian tensorized neural networks with automatic rank selection C Hawkins, Z Zhang Neurocomputing 453, 172-180, 2021 | 50 | 2021 |
| 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 | 50 | 2019 |
| 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 | 50 | 2017 |
| 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 | 45 | 2019 |
| 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 | 43 | 2019 |
| 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 | 43 | 2014 |
| 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 | 42 | 2022 |
| 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 | 41 | 2021 |
| 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 | 40 | 2020 |
| Deepzero: Scaling up zeroth-order optimization for deep model training A Chen, Y Zhang, J Jia, J Diffenderfer, J Liu, K Parasyris, Y Zhang, ... International Conference on Learning Representations (ICLR), 2024 | 37 | 2024 |
| An efficient projector-based passivity test for descriptor systems Z Zhang, N Wong IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2010 | 36 | 2010 |
| 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 | 35* | 2018 |
Ngai Wong (Sam)Associate Professor of Electrical and Electronic Engineering, The University of Hong Kongeee.hku.hk의 이메일 확인됨