Peng Zheng
Title
Cited by
Cited by
Year
Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
CJL Murray, AY Aravkin, P Zheng, C Abbafati, KM Abbas, ...
The Lancet 396 (10258), 1223-1249, 2020
2282020
Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
T Vos, SS Lim, C Abbafati, KM Abbas, M Abbasi, M Abbasifard, ...
The Lancet 396 (10258), 1204-1222, 2020
2212020
Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic …
H Wang, KM Abbas, M Abbasifard, M Abbasi-Kangevari, H Abbastabar, ...
The Lancet 396 (10258), 1160-1203, 2020
1032020
Five insights from the global burden of disease study 2019
CJL Murray, C Abbafati, KM Abbas, M Abbasi, M Abbasi-Kangevari, ...
The Lancet 396 (10258), 1135-1159, 2020
1002020
Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global …
R Lozano, N Fullman, JE Mumford, M Knight, CM Barthelemy, C Abbafati, ...
The Lancet 396 (10258), 1250-1284, 2020
782020
Modeling COVID-19 scenarios for the United States.
TI COVID, RC Reiner, RM Barber, JK Collins
Nature medicine, 2020
682020
Modeling COVID-19 scenarios for the United States.
TI COVID, RC Reiner, RM Barber, JK Collins
Nature medicine, 2020
682020
A unified framework for sparse relaxed regularized regression: SR3
P Zheng, T Askham, SL Brunton, JN Kutz, AY Aravkin
IEEE Access 7, 1404-1423, 2018
42*2018
Sparse principal component analysis via variable projection
NB Erichson, P Zheng, K Manohar, SL Brunton, JN Kutz, AY Aravkin
SIAM Journal on Applied Mathematics 80 (2), 977-1002, 2020
402020
Relax-and-split method for nonconvex inverse problems
P Zheng, A Aravkin
Inverse Problems 36 (9), 095013, 2020
16*2020
Trimmed constrained mixed effects models: formulations and algorithms
P Zheng, R Barber, RJD Sorensen, CJL Murray, AY Aravkin
Journal of Computational and Graphical Statistics, 1-13, 2021
132021
A unified sparse optimization framework to learn parsimonious physics-informed models from data
K Champion, P Zheng, AY Aravkin, SL Brunton, JN Kutz
IEEE Access 8, 169259-169271, 2020
132020
A unified sparse optimization framework to learn parsimonious physics-informed models from data
K Champion, P Zheng, AY Aravkin, SL Brunton, JN Kutz
IEEE Access 8, 169259-169271, 2020
132020
Trimming the Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
J Yun, P Zheng, E Yang, A Lozano, A Aravkin
International Conference on Machine Learning, 7242-7251, 2019
92019
Modeling COVID-19 scenarios for the United States
I Covid
Nature medicine 27 (1), 94, 2021
62021
Robust and scalable methods for the dynamic mode decomposition
T Askham, P Zheng, A Aravkin, JN Kutz
arXiv preprint arXiv:1712.01883, 2017
52017
Learning nonlinear brain dynamics: van der pol meets lstm
G Abrevaya, I Rish, AY Aravkin, G Cecchi, J Kozloski, P Polosecki, ...
arXiv preprint arXiv:1805.09874, 2018
22018
Learning robust representations for computer vision
P Zheng, AY Aravkin, K Natesan Ramamurthy, J Jayaraman Thiagarajan
Proceedings of the IEEE International Conference on Computer Vision …, 2017
22017
M-estimation with the Trimmed l1 Penalty
J Yun, P Zheng, E Yang, A Lozano, A Aravkin
arXiv preprint arXiv:1805.07495, 2018
12018
Efficient Robust Parameter Identification in Generalized Kalman Smoothing Models
J Jonker, P Zheng, AY Aravkin
IEEE Transactions on Automatic Control, 2020
2020
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Articles 1–20