Zheng Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 55

Top Venues

CoRR

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ICCAD

IEEE Trans. Circuits Syst. I Regul. Pap.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

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)
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang
Separable Operator Networks. CoRR (2024)
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) (2024)
Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang
Distributionally Robust Circuit Design Optimization under Variation Shifts. ICCAD (2023)
Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang
Distributionally Robust Circuit Design Optimization under Variation Shifts. CoRR (2023)
Zichang He, Bo Zhao, Zheng Zhang
Active Sampling for Accelerated MRI with Low-Rank Tensors. EMBC (2022)
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) (2022)
Didem Kochan, Zheng Zhang, Xiu Yang
A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation. MSML (2022)
Ryan Solgi, Hugo A. Loáiciga, Zheng Zhang
Evolutionary Tensor Train Decomposition for Hyper-Spectral Remote Sensing Images. IGARSS (2022)
Cole Hawkins, Alec Koppel, Zheng Zhang
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy. CoRR (2022)
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) (2022)
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) (2022)
Ryan Solgi, Zichang He, William Jiahua Liang, Zheng Zhang
Tensor Shape Search for Optimum Data Compression. CoRR (2022)
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) (2022)
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)
Cole Hawkins, Zheng Zhang
Bayesian tensorized neural networks with automatic rank selection. Neurocomputing 453 (2021)
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 (2021)
Kaiqi Zhang, Cole Hawkins, Xiyuan Zhang, Cong Hao, Zheng Zhang
On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor Method. CoRR (2021)
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) (2021)
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) (2021)
Zichang He, Zheng Zhang
High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression. CoRR (2021)
Kaiqi Zhang, Cole Hawkins, Zheng Zhang
General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification. Frontiers Artif. Intell. 4 (2021)
Zichang He, Bo Zhao, Zheng Zhang
Active Sampling for Accelerated MRI with Low-Rank Tensors. CoRR (2020)
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) (2020)
Zichang He, Zheng Zhang
High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression. CoRR (2020)
Weiyun Jiang, Kaiqi Zhang, Colin Yu Lin, Feng Xing, Zheng Zhang
Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform. CoRR (2020)
Cole Hawkins, Zheng Zhang
End-to-End Variational Bayesian Training of Tensorized Neural Networks with Automatic Rank Determination. CoRR (2020)
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) (2020)
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) (2020)
Jiali Luan, Zheng Zhang
Prediction of Multidimensional Spatial Variation Data via Bayesian Tensor Completion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (2) (2020)
Ziming Liu, Zheng Zhang
Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling. CoRR (2019)
Huishan Chen, Zheng Zhang
Stochastic Model Predictive Control of Autonomous Systems with Non-Gaussian Correlated Uncertainty. CoRR (2019)
Cole Hawkins, Zheng Zhang
Bayesian Tensorized Neural Networks with Automatic Rank Selection. CoRR (2019)
Ahmed Wahba, Li-C. Wang, Zheng Zhang, Nik Sumikawa
Wafer Pattern Recognition Using Tucker Decomposition. VTS (2019)
Kaiqi Zhang, Xiyuan Zhang, Zheng Zhang
Tucker Tensor Decomposition on FPGA. ICCAD (2019)
Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. CoRR (2019)
Chunfeng Cui, Cole Hawkins, Zheng Zhang
Tensor Methods for Generating Compact Uncertainty Quantification and Deep Learning Models. ICCAD (2019)
Zichang He, Weilong Cui, Chunfeng Cui, Timothy Sherwood, Zheng Zhang
Efficient Uncertainty Modeling for System Design via Mixed Integer Programming. ICCAD (2019)
Jiali Luan, Zheng Zhang
Prediction of multi-dimensional spatial variation data via Bayesian tensor completion. CoRR (2019)
Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. CoRR (2019)
Kaiqi Zhang, Xiyuan Zhang, Zheng Zhang
Tucker Tensor Decomposition on FPGA. CoRR (2019)
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 (2019)
Cole Hawkins, Zheng Zhang
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. CoRR (2018)
Chunfeng Cui, Zheng Zhang
Uncertainty Quantification of Electronic and Photonic ICs with Non-Gaussian Correlated Process Variations. CoRR (2018)
Giambattista Gruosso, Roberto Silva Netto, Paolo Maffezzoni, Zheng Zhang, Luca Daniel
Low voltage electrical distribution network analysis under load variation. ICIT (2018)
Chunfeng Cui, Zheng Zhang
Uncertainty quantification of electronic and photonic ICs with non-Gaussian correlated process variations. ICCAD (2018)
Chunfeng Cui, Zheng Zhang
Stochastic Collocation with Non-Gaussian Correlated Parameters via a New Quadrature Rule. CoRR (2018)
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) (2018)
Zheng Zhang, Cole Hawkins
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. ICDM (2018)
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) (2017)
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. (11) (2016)
Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
Reducing Phase Noise in Multi-Phase Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. (3) (2016)
Zheng Zhang, Tsui-Wei Weng, Luca Daniel
A Big-Data Approach to Handle Process Variations: Uncertainty Quantification by Tensor Recovery. CoRR (2016)
Zheng Zhang, Kim Batselier, Haotian Liu, Luca Daniel, Ngai Wong
Tensor Computation: A New Framework for High-Dimensional Problems in EDA. CoRR (2016)
Zheng Zhang, Tsui-Wei Weng, Luca Daniel
A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and Applications. CoRR (2016)
Zheng Zhang, Hung D. Nguyen, Konstantin S. Turitsyn, Luca Daniel
Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery. CoRR (2015)
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) (2015)
Paolo Maffezzoni, Bichoy Bahr, Zheng Zhang, Luca Daniel
Oscillator Array Models for Associative Memory and Pattern Recognition. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2015)
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) (2015)
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)
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) (2014)
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 (2014)
Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel
Uncertainty Quantification for Integrated Circuits: Stochastic Spectral Methods. CoRR (2014)
Paolo Maffezzoni, Zheng Zhang, Luca Daniel
A Study of Deterministic Jitter in Crystal Oscillators. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2014)
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 (2014)
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 (2014)
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 (2014)
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) (2014)
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 (2014)
Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel
Uncertainty quantification for integrated circuits: stochastic spectral methods. ICCAD (2013)
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 (10) (2013)
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) (2013)
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) (2012)
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)
Zheng Zhang, Ibrahim M. Elfadel, Luca Daniel
Model order reduction of fully parameterized systems by recursive least square optimization. ICCAD (2011)
Xiang Wang, Qing Wang, Zheng Zhang, Quan Chen, Ngai Wong
Balanced truncation for time-delay systems via approximate Gramians. ASP-DAC (2011)
Zheng Zhang, Xiang Hu, Chung-Kuan Cheng, Ngai Wong
A block-diagonal structured model reduction scheme for power grid networks. DATE (2011)
Zheng Zhang, Ngai Wong
An Efficient Projector-Based Passivity Test for Descriptor Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29 (8) (2010)
Zheng Zhang, Ngai Wong
Passivity Test of Immittance Descriptor Systems Based on Generalized Hamiltonian Methods. IEEE Trans. Circuits Syst. II Express Briefs (1) (2010)
Zheng Zhang, Ngai Wong
-parameter descriptor systems. ASP-DAC (2010)
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)
Colin Yu Lin, Zheng Zhang, Ngai Wong, Hayden Kwok-Hay So
Design space exploration for sparse matrix-matrix multiplication on FPGAs. FPT (2010)
Zheng Zhang, Chi-Un Lei, Ngai Wong
GHM: A generalized Hamiltonian method for passivity test of impedance/admittance descriptor systems. ICCAD (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zheng Zhang