P. Zheng

Most-cited papers

A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data
Kathleen P. Champion, P. Zheng, A. Aravkin, Steve Brunton +1 more
2019IEEE Access193 citations Open access
Semantic Scholar
A Unified Framework for Sparse Relaxed Regularized Regression: SR3
P. Zheng, T. Askham, S. Brunton, J. Kutz +1 more
2018IEEE Access191 citations Open access
Semantic Scholar
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
P. Zheng, Ryan M. Barber, R. Sorensen, C. Murray +1 more
2019bioRxiv163 citations Open access
Semantic Scholar
Sparse Principal Component Analysis via Variable Projection
N. Benjamin Erichson, P. Zheng, Krithika Manohar, S. Brunton +2 more
2018SIAM Journal on Applied Mathematics142 citations Open access
Semantic Scholar
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
Jihun Yun, P. Zheng, Eunho Yang, A. Lozano +1 more
2019International Conference on Machine Learning26 citations
Semantic Scholar
Robust and Scalable Methods for the Dynamic Mode Decomposition
T. Askham, P. Zheng, A. Aravkin, J. Kutz
2017SIAM Journal on Applied Dynamical Systems21 citations Open access
Semantic Scholar
Fast methods for nonsmooth nonconvex minimization
P. Zheng, A. Aravkin
201811 citations
Semantic Scholar
A Relaxation Approach to Feature Selection for Linear Mixed Effects Models
A. Sholokhov, J. Burke, D. Santomauro, P. Zheng +1 more
2022Journal of Computational And Graphical Statistics10 citations Open access
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Sparse Relaxed Regularized Regression: SR3
P. Zheng, T. Askham, S. Brunton, J. Kutz +1 more
2018arXiv.org10 citations
Semantic Scholar
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks
German Abrevaya, G. Dumas, A. Aravkin, P. Zheng +8 more
2021Neural Computation9 citations
Semantic Scholar
Relax-and-split method for nonconvex inverse problems
P. Zheng, A. Aravkin
2020Inverse Problems9 citations
Semantic Scholar
Relax-and-split method for nonsmooth nonconvex problems.
P. Zheng, A. Aravkin
20189 citations
Semantic Scholar
Efficient Robust Parameter Identification in Generalized Kalman Smoothing Models
J. Jonker, P. Zheng, A. Aravkin
2019IEEE Transactions on Automatic Control6 citations Open access
Semantic Scholar
Learning Robust Representations for Computer Vision
P. Zheng, A. Aravkin, Jayaraman J. Thiagarajan, K. Ramamurthy
20172017 IEEE International Conference on Computer Vision Workshops (ICCVW)3 citations Open access
Semantic Scholar
Analysis of Relaxation Methods for Feature Selection in Mixed Effects Models
A. Aravkin, J. Burke, A. Sholokhov, P. Zheng
20222 citations
Semantic Scholar
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM
German Abrevaya, A. Aravkin, G. Cecchi, I. Rish +3 more
2018bioRxiv2 citations Open access
Semantic Scholar
pysr3: A Python Package for Sparse Relaxed Regularized Regression
A. Sholokhov, P. Zheng, A. Aravkin
2023Journal of Open Source Software0 citations Open access
Semantic Scholar
RELAXATION METHODS FOR FEATURE SELECTION IN MIXED EFFECTS MODELS
J. Burke, A. Sholokhov, P. Zheng
20220 citations
Semantic Scholar
Estimating Shape Parameters of Piecewise Linear-Quadratic Problems
P. Zheng, K. Ramamurthy, A. Aravkin
2021Open Journal of Mathematical Optimization0 citations Open access
Semantic Scholar
Learning Brain Dynamics from Calcium Imaging with Coupled van der Pol and LSTM
German Abrevaya, I. Rish, A. Aravkin, G. Cecchi +6 more
20190 citations
Semantic Scholar
M-estimation with the Trimmed l1 Penalty
Jihun Yun, P. Zheng, Eunho Yang, A. Lozano +1 more
20180 citations
Semantic Scholar
Computer Assisted Localization of a Heart Arrhythmia
C. Vogl, P. Zheng, S. Seslar, A. Aravkin
2018bioRxiv0 citations Open access
Semantic Scholar
M-estimation with the Trimmed l1 Penalty
Jihun Yun, P. Zheng, Eunho Yang, A. Lozano +1 more
20180 citations
Semantic Scholar
Shape Parameter Estimation
P. Zheng, A. Aravkin, K. Ramamurthy
20170 citations
Semantic Scholar