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ORCIDZheng Zhang 0005
Person information
- affiliation: University of California, Santa Barbara, USA
- affiliation (former): Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, MA, USA
- affiliation (former): University of Hong Kong, Department of Electrical and Electronic Engineering, Pokfulam, Hong Kong
Other persons with the same name
- Zheng Zhang — disambiguation page
- Zheng Zhang 0001
![[0000-0001-6073-6675]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6073-6675")
— New York University Shanghai, China (and 4 more) - Zheng Zhang 0002 — University of Toronto, Canada
- Zheng Zhang 0003 — National University of Singapore, School of Computing, Singapore
- Zheng Zhang 0004 — Pennsylvania State University, Department of Computer Science and Engineering, University Park, PA, USA
- Zheng Zhang 0006 — Harbin Institute of Technology, Bio-Computing Research Center, Shenzhen, China (and 3 more)
- Zheng Zhang 0007 — Zhejiang Ocean University, Marine Acoustics and Remote Sensing Laboratory, Zhoushan, China
- Zheng Zhang 0009 — Purdue University, West Lafayette, IN, USA
- Zheng Zhang 0010 — Tsinghua University, School of Journalism and Communication, China
- Zheng Zhang 0011 — National University of Defense Technology, Changsha, China (and 1 more)
- Eddy Z. Zhang (aka: Eddy Zheng Zhang, Zheng Zhang 0012) — Rutgers University, Department of Computer Science, Piscataway, NJ, USA (and 1 more)
- Zheng Zhang 0013 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, China
- Zheng Zhang 0014 — Northeast Petroleum University, School of Electrical and Information Engineering, Daqing, China
- Zheng Zhang 0015 — Beijing University of Chemical Technology, College of Information Science and Technology, China
- Zheng Zhang 0016 — Ruhr University Bochum, Germany
- Zheng Zhang 0017 — Xi'an Jiaotong University, School of Mechanical Engineering, Institute of Robotics and Intelligent Systems, Xi'an, China
- Zheng Zhang 0018 — College of William & Mary, VA, USA
- Zheng Zhang 0019 — University of Paris-Saclay, France
- Zheng Zhang 0020 — Tsinghua University, Beijing National Research Center for Information Science and Technology, China
- Zheng Zhang 0021 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Zheng Zhang 0022 — Microsoft Research Asia, Beijing, China (and 1 more)
- Zheng Zhang 0023 — State University of New York at Binghamton, Department of Computer Science, Binghamton, NY, USA
- Zheng Zhang 0024 — South China University of Technology, School of Electric Power, Guangzhou, China
- Zheng Zhang 0025 — Nanyang Institute of Technology, School of Software, Nanyang, China
- Zheng Zhang 0026 — Xidian University, Key Laboratory of Information and Structure Efficiency in Extreme Environment, Xi'an, China
- Zheng Zhang 0027 — Shandong University of Science and Technology, College of Transportation, Qingdao, China
- Zheng Zhang 0028 — East China Jiaotong University, School of Electrical and Automation Engineering, Nanchang, China
- Zheng Zhang 0029 — Harbin Engineering University, College of Automation, Harbin, China
- Zheng Zhang 0030 — Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
- Zheng Zhang 0031 — Chinese People's Liberation Army, Guangzhou, China (and 1 more)
- Zheng Zhang 0032 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Zheng Zhang 0033 — Information Engineering University, Zhengzhou, China
- Zheng Zhang 0034 — Harbin Engineering University, College of Automation, Institute of Robotics and Intelligent Control, Harbin, China
- Zheng Zhang 0035 — Arizona State University, Tempe, AZ, USA
- Zheng Zhang 0036 — Wuhan University, School of Computer Science, Wuhan, China
- Zheng Zhang 0037 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Zheng Zhang 0038 — Beijing University of Posts and Telecommunications, School of Modern Post, State Key Lab of Networking and Switching Technology, China
- Zheng Zhang 0039 — Nanyang Technological University, Singapore
- Zheng Zhang 0040 — Nanyang Technological University, School of Computer Engineering, Singapore
- Zheng Zhang 0041 — Shanghai Ocean University, College of Engineering Science and Technology, China (and 1 more)
- Zheng Zhang 0042 — Imperial College London, Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, London, UK (and 2 more)
- Zheng Zhang 0043 — University of Notre Dame, IN, USA (and 1 more)
- Zheng Zhang 0044 — China University of Geosciences, School of Automation, Wuhan, China (and 1 more)
- Zheng Zhang 0045 — University of Shanghai for Science and Technology, Business School, China
- Zheng Zhang 0046 — University of Surrey, UK
- Zheng Zhang 0047 — Emory University, Atlanta, GA, USA
- Zheng Zhang 0048 — University of Science and Technology of China, Hefei, China
Other persons with a similar name
- Zheng-Zhang Yang
- Gong-Zheng Zhang (aka: Gongzheng Zhang)
- Guang-Zheng Zhang
- Luo-Zheng Zhang
- Zheng-De Zhang
- Zheng-Fang Zhang
- Zheng-Teng Zhang
- Zheng Gang Zhang (aka: Zhenggang Zhang)
- Zhizheng Zhang 0001 (aka: Zhi-Zheng Zhang 0001) — Luoyang Normal University, Department of Mathematics, China (and 2 more)
- Zhang Zheng
- show all similar names
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2020 – today
- 2024
[j29]Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang, Hugo A. Loáiciga:
Tensor shape search for efficient compression of tensorized data and neural networks. Appl. Soft Comput. 149(Part A): 110987 (2024)- [c24]Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu:
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training. ICLR 2024 - [i40]Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang:
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training. CoRR abs/2401.00413 (2024) - [i39]Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang:
Separable Operator Networks. CoRR abs/2407.11253 (2024) - 2023
- [c23]Ziyue Liu, Yixing Li, Jing Hu, Xinling Yu, Shinyu Shiau, Xin Ai, Zhiyu Zeng, Zheng Zhang:
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design. DAC 2023: 1-6 - [c22]Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang:
Distributionally Robust Circuit Design Optimization under Variation Shifts. ICCAD 2023: 1-8 - [i38]Yequan Zhao, Xian Xiao, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang:
Tensorized Optical Multimodal Fusion Network. CoRR abs/2302.08744 (2023) - [i37]Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang:
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks. CoRR abs/2302.11883 (2023) - [i36]Ziyue Liu, Yixing Li, Jing Hu, Xinling Yu, Shinyu Shiau, Xin Ai, Zhiyu Zeng, Zheng Zhang:
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design. CoRR abs/2302.12949 (2023) - [i35]Yifan Yang, Alec Koppel, Zheng Zhang:
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels. CoRR abs/2306.05046 (2023) - [i34]Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang:
Distributionally Robust Circuit Design Optimization under Variation Shifts. CoRR abs/2308.08111 (2023) - [i33]Yequan Zhao, Xinling Yu, Zhixiong Chen, Ziyue Liu, Sijia Liu, Zheng Zhang:
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks. CoRR abs/2308.09858 (2023) - [i32]Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu:
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training. CoRR abs/2310.02025 (2023) - 2022
- [j28]Cole Hawkins, Xing Liu, Zheng Zhang:
Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination. SIAM J. Math. Data Sci. 4(1): 46-71 (2022) - [j27]Bangyan Wang, Lei Deng, Zheng Qu, Shuangchen Li, Zheng Zhang, Yuan Xie:
Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture. IEEE Trans. Computers 71(2): 266-281 (2022) - [j26]Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie:
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 372-385 (2022) - [j25]Zichang He, Zheng Zhang:
PoBO: A Polynomial Bounding Method for Chance-Constrained Yield-Aware Optimization of Photonic ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4915-4926 (2022) - [c21]Zichang He, Bo Zhao, Zheng Zhang:
Active Sampling for Accelerated MRI with Low-Rank Tensors. EMBC 2022: 3024-3028 - [c20]Ryan Solgi, Hugo A. Loáiciga, Zheng Zhang:
Evolutionary Tensor Train Decomposition for Hyper-Spectral Remote Sensing Images. IGARSS 2022: 1145-1148 - [c19]Didem Kochan, Zheng Zhang, Xiu Yang:
A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation. MSML 2022: 17-32 - [i31]Cole Hawkins, Alec Koppel, Zheng Zhang:
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy. CoRR abs/2201.07130 (2022) - [i30]Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang:
Tensor Shape Search for Optimum Data Compression. CoRR abs/2205.10651 (2022) - [i29]Ziyue Liu, Xinling Yu, Zheng Zhang:
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing. CoRR abs/2207.01751 (2022) - [i28]Xinling Yu, José Enrique Cruz Serrallés, Ilias I. Giannakopoulos, Ziyue Liu, Luca Daniel, Riccardo Lattanzi, Zheng Zhang:
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks. CoRR abs/2210.12584 (2022) - 2021
- [j24]Kaiqi Zhang, Cole Hawkins, Zheng Zhang:
General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification. Frontiers Artif. Intell. 4: 668353 (2021) - [j23]Cole Hawkins, Zheng Zhang:
Bayesian tensorized neural networks with automatic rank selection. Neurocomputing 453: 172-180 (2021) - [j22]Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie:
Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE J. Sel. Top. Signal Process. 15(3): 574-586 (2021) - [j21]Weiyun Jiang, Kaiqi Zhang, Colin Yu Lin, Feng Xing, Zheng Zhang:
Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1864-1873 (2021) - [c18]Yao Chen, Cole Hawkins, Kaiqi Zhang, Zheng Zhang, Cong Hao:
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low Bitwidth Quantization, and Ultra-Low Latency Acceleration. ACM Great Lakes Symposium on VLSI 2021: 157-162 - [i27]Zichang He, Zheng Zhang:
High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression. CoRR abs/2103.17236 (2021) - [i26]Kaiqi Zhang, Cole Hawkins, Xiyuan Zhang, Cong Hao, Zheng Zhang:
On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor Method. CoRR abs/2104.03420 (2021) - [i25]Yao Chen, Cole Hawkins, Kaiqi Zhang, Zheng Zhang, Cong Hao:
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration. CoRR abs/2105.06250 (2021) - 2020
- [j20]Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang:
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. SIAM J. Math. Data Sci. 2(4): 1096-1122 (2020) - [j19]Jiali Luan, Zheng Zhang:
Prediction of Multidimensional Spatial Variation Data via Bayesian Tensor Completion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(2): 547-551 (2020) - [j18]Chunfeng Cui, Zheng Zhang:
High-Dimensional Uncertainty Quantification of Electronic and Photonic IC With Non-Gaussian Correlated Process Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(8): 1649-1661 (2020) - [j17]Chunfeng Cui, Kaikai Liu, Zheng Zhang:
Chance-Constrained and Yield-Aware Optimization of Photonic ICs With Non-Gaussian Correlated Process Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4958-4970 (2020) - [i24]Zichang He, Zheng Zhang:
High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression. CoRR abs/2009.01993 (2020) - [i23]Cole Hawkins, Zheng Zhang:
End-to-End Variational Bayesian Training of Tensorized Neural Networks with Automatic Rank Determination. CoRR abs/2010.08689 (2020) - [i22]Weiyun Jiang, Kaiqi Zhang, Colin Yu Lin, Feng Xing, Zheng Zhang:
Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform. CoRR abs/2010.10638 (2020) - [i21]Zichang He, Bo Zhao, Zheng Zhang:
Active Sampling for Accelerated MRI with Low-Rank Tensors. CoRR abs/2012.12496 (2020)
2010 – 2019
- 2019
- [j16]Giambattista Gruosso, Giancarlo Storti Gajani, Zheng Zhang, Luca Daniel, Paolo Maffezzoni:
Uncertainty-Aware Computational Tools for Power Distribution Networks Including Electrical Vehicle Charging and Load Profiles. IEEE Access 7: 9357-9367 (2019) - [c17]Chunfeng Cui, Cole Hawkins, Zheng Zhang:
Tensor Methods for Generating Compact Uncertainty Quantification and Deep Learning Models. ICCAD 2019: 1-6 - [c16]Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang:
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. ICCAD 2019: 1-8 - [c15]Kaiqi Zhang, Xiyuan Zhang, Zheng Zhang:
Tucker Tensor Decomposition on FPGA. ICCAD 2019: 1-8 - [c14]Ahmed Wahba, Li-C. Wang, Zheng Zhang, Nik Sumikawa:
Wafer Pattern Recognition Using Tucker Decomposition. VTS 2019: 1-6 - [i20]Jiali Luan, Zheng Zhang:
Prediction of multi-dimensional spatial variation data via Bayesian tensor completion. CoRR abs/1901.00578 (2019) - [i19]Cole Hawkins, Zheng Zhang:
Bayesian Tensorized Neural Networks with Automatic Rank Selection. CoRR abs/1905.10478 (2019) - [i18]Kaiqi Zhang, Xiyuan Zhang, Zheng Zhang:
Tucker Tensor Decomposition on FPGA. CoRR abs/1907.01522 (2019) - [i17]Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang:
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. CoRR abs/1907.05700 (2019) - [i16]Huishan Chen, Zheng Zhang:
Stochastic Model Predictive Control of Autonomous Systems with Non-Gaussian Correlated Uncertainty. CoRR abs/1910.02994 (2019) - [i15]Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang:
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. CoRR abs/1910.13025 (2019) - [i14]Ziming Liu, Zheng Zhang:
Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling. CoRR abs/1912.01937 (2019) - 2018
- [j15]Paolo Maffezzoni, Zheng Zhang, Salvatore Levantino, Luca Daniel:
Variation-Aware Modeling of Integrated Capacitors Based on Floating Random Walk Extraction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(10): 2180-2184 (2018) - [c13]Chunfeng Cui, Zheng Zhang:
Uncertainty quantification of electronic and photonic ICs with non-Gaussian correlated process variations. ICCAD 2018: 97 - [c12]Zheng Zhang, Cole Hawkins:
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. ICDM 2018: 1446-1451 - [c11]Giambattista Gruosso, Roberto Silva Netto, Paolo Maffezzoni, Zheng Zhang, Luca Daniel:
Low voltage electrical distribution network analysis under load variation. ICIT 2018: 1248-1253 - [i13]Chunfeng Cui, Zheng Zhang:
Uncertainty Quantification of Electronic and Photonic ICs with Non-Gaussian Correlated Process Variations. CoRR abs/1807.01778 (2018) - [i12]Chunfeng Cui, Zheng Zhang:
Stochastic Collocation with Non-Gaussian Correlated Parameters via a New Quadrature Rule. CoRR abs/1808.08381 (2018) - [i11]Cole Hawkins, Zheng Zhang:
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. CoRR abs/1809.02153 (2018) - 2017
- [j14]Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong:
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(4): 521-536 (2017) - 2016
- [j13]Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel:
Reducing Phase Noise in Multi-Phase Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(3): 379-388 (2016) - [j12]Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel:
Analysis and Design of Boolean Associative Memories Made of Resonant Oscillator Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(11): 1964-1973 (2016) - [i10]Zheng Zhang, Tsui-Wei Weng, Luca Daniel:
A Big-Data Approach to Handle Process Variations: Uncertainty Quantification by Tensor Recovery. CoRR abs/1603.06119 (2016) - [i9]Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong:
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. CoRR abs/1610.04272 (2016) - [i8]Zheng Zhang, Tsui-Wei Weng, Luca Daniel:
A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and Applications. CoRR abs/1611.02256 (2016) - 2015
- [b1]Zheng Zhang:
Uncertainty quantification for integrated circuits and microelectrornechanical systems. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015 - [j11]Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel:
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(1): 63-76 (2015) - [j10]Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel:
Analysis and Design of Weakly Coupled LC Oscillator Arrays Based on Phase-Domain Macromodels. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(1): 77-85 (2015) - [j9]Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel:
Oscillator Array Models for Associative Memory and Pattern Recognition. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(6): 1591-1598 (2015) - [i7]Zheng Zhang, Hung D. Nguyen, Konstantin S. Turitsyn, Luca Daniel:
Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery. CoRR abs/1508.02489 (2015) - 2014
- [j8]Xiang Wang, Zheng Zhang, Qing Wang, Ngai Wong:
Gramian-based model order reduction of parameterized time-delay systems. Int. J. Circuit Theory Appl. 42(7): 687-706 (2014) - [j7]Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel:
Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(5): 728-740 (2014) - [j6]Paolo Maffezzoni, Zheng Zhang, Luca Daniel:
A Study of Deterministic Jitter in Crystal Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(4): 1044-1054 (2014) - [c10]Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim Abe M. Elfadel, George E. Karniadakis, Luca Daniel:
Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques. CICC 2014: 1-8 - [i6]Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel:
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. CoRR abs/1407.3023 (2014) - [i5]Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim M. Elfadel, George E. Karniadakis, Luca Daniel:
Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques. CoRR abs/1409.4822 (2014) - [i4]Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel:
Uncertainty Quantification for Integrated Circuits: Stochastic Spectral Methods. CoRR abs/1409.4824 (2014) - [i3]Zheng Zhang, Tarek A. El-Moselhy, Paolo Maffezzoni, Ibrahim M. Elfadel, Luca Daniel:
Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits. CoRR abs/1409.4826 (2014) - [i2]Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel:
Calculation of Generalized Polynomial-Chaos Basis Functions and Gauss Quadrature Rules in Hierarchical Uncertainty Quantification. CoRR abs/1409.4829 (2014) - [i1]Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel:
Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos. CoRR abs/1409.4831 (2014) - 2013
- [j5]Zheng Zhang, Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Daniel:
Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(10): 1533-1545 (2013) - [j4]Zheng Zhang, Tarek A. El-Moselhy, Paolo Maffezzoni, Ibrahim M. Elfadel, Luca Daniel:
Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits. IEEE Trans. Circuits Syst. II Express Briefs 60-II(10): 687-691 (2013) - [c9]Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel:
Uncertainty quantification for integrated circuits: stochastic spectral methods. ICCAD 2013: 803-810 - 2012
- [j3]Yuanzhe Wang, Zheng Zhang, Cheng-Kok Koh, Guoyong Shi, Grantham K. H. Pang, Ngai Wong:
Passivity Enforcement for Descriptor Systems Via Matrix Pencil Perturbation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(4): 532-545 (2012) - 2011
- [c8]Zheng Zhang, Qing Wang, Ngai Wong, Luca Daniel:
A moment-matching scheme for the passivity-preserving model order reduction of indefinite descriptor systems with possible polynomial parts. ASP-DAC 2011: 49-54 - [c7]Xiang Wang, Qing Wang, Zheng Zhang, Quan Chen, Ngai Wong:
Balanced truncation for time-delay systems via approximate Gramians. ASP-DAC 2011: 55-60 - [c6]Zheng Zhang, Xiang Hu, Chung-Kuan Cheng, Ngai Wong:
A block-diagonal structured model reduction scheme for power grid networks. DATE 2011: 44-49 - [c5]Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel:
Model order reduction of fully parameterized systems by recursive least square optimization. ICCAD 2011: 523-530 - 2010
- [j2]Zheng Zhang, Ngai Wong:
An Efficient Projector-Based Passivity Test for Descriptor Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(8): 1203-1214 (2010) - [j1]Zheng Zhang, Ngai Wong:
Passivity Test of Immittance Descriptor Systems Based on Generalized Hamiltonian Methods. IEEE Trans. Circuits Syst. II Express Briefs 57-II(1): 61-65 (2010) - [c4]Zheng Zhang, Ngai Wong:
An extension of the generalized Hamiltonian method to S-parameter descriptor systems. ASP-DAC 2010: 43-47 - [c3]Colin Yu Lin, Zheng Zhang, Ngai Wong, Hayden Kwok-Hay So:
Design space exploration for sparse matrix-matrix multiplication on FPGAs. FPT 2010: 369-372 - [c2]Yuanzhe Wang, Zheng Zhang, Cheng-Kok Koh, Grantham K. H. Pang, Ngai Wong:
PEDS: Passivity enforcement for descriptor systems via Hamiltonian-symplectic matrix pencil perturbation. ICCAD 2010: 800-807
2000 – 2009
- 2009
- [c1]Zheng Zhang, Chi-Un Lei, Ngai Wong:
GHM: A generalized Hamiltonian method for passivity test of impedance/admittance descriptor systems. ICCAD 2009: 767-773
Coauthor Index
Ibrahim M. Elfadel
aka: Ibrahim Abe M. Elfadel
aka: Ibrahim Abe M. Elfadel
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