activity
20182021
most citedA Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage

9 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations

Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis

Imputation of missing data is a task that plays a vital role in a number of engineering and science applications. Often such missing data arise in experimental observations from li…

physics.geo-ph2021★ 9 cited

A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage

Hewei Tang, Pengcheng Fu, Christopher S. Sherman +6

Fast assimilation of monitoring data to update forecasts of pressure buildup and carbon dioxide (CO2) plume migration under geologic uncertainties is a challenging problem in geolo…

math.OC2019

Offline state estimation for hybrid systems via nonsmooth variable projection

Jize Zhang, Andrew M. Pace, Samuel A. Burden +1

A hybrid dynamical system switches between dynamic regimes at time- or state-triggered events. We propose an offline algorithm that simultaneously estimates discrete and continuous…

stat.ME2018★ 1 cited

Bounded Regression with Gaussian Process Projection

Jize Zhang, Lizhen Lin

Examples with bound information on the regression function and density abound in many real applications. We propose a novel approach for estimating such functions by incorporating…

math.OC2018

A Relaxed Optimization Approach for Cardinality-Constrained Portfolio Optimization

Jize Zhang, Tim Leung, Aleksandr Aravkin

A cardinality-constrained portfolio caps the number of stocks to be traded across and within groups or sectors. These limitations arise from real-world scenarios faced by fund mana…

q-fin.PM2018★ 2 cited

Mean Reverting Portfolios via Penalized OU-Likelihood Estimation

Jize Zhang, Tim Leung, Aleksandr Y. Aravkin

We study an optimization-based approach to con- struct a mean-reverting portfolio of assets. Our objectives are threefold: (1) design a portfolio that is well-represented by an Orn…