activity
20192023
most citedMatrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula

16 citations · 40 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2023★ 3 cited

Optimal Sizing of Isolated Renewable Power Systems with Ammonia Synthesis: Model and Solution Approach

Zhipeng Yu, Jin Lin, Feng Liu +3

Isolated renewable power to ammonia (IRePtA) has been recognized as a promising way to decarbonize the chemical industry. Optimal sizing of the renewable power system is significan…

eess.SY2022★ 1 cited

Optimal Sizing and Pricing of Renewable Power to Ammonia Systems Considering the Limited Flexibility of Ammonia Synthesis

Zhipeng Yu, Jin Lin, Feng Liu +5

Converting renewable energy into ammonia has been recognized as a promising way to realize ``green hydrogen substitution" in the chemical industry. However, renewable power to ammo…

eess.SY2021★ 1 cited

Technoeconomic Supplement of P2G Clusters with Hydrogen Pipeline for Coordinated Renewable Energy and HVDC Systems

Jiarong Li, Jin Lin, Yonghua Song +4

Under the downward tendency of prices of renewable energy generators and upward trend of hydrogen demand, this paper studies the technoeconomic supplement of P2G clusters with hydr…

stat.ME2021

Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging

Yuxuan Zhao, David S. Matteson, Mary Beth Nebel +2

Independent component analysis (ICA) is an unsupervised learning method popular in functional magnetic resonance imaging (fMRI). Group ICA has been used to search for biomarkers in…

cs.CR2020★ 13 cited

Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks

Kaiwen Shen, Chuhan Wang, Minglei Guo +8

As a fundamental communicative service, email is playing an important role in both individual and corporate communications, which also makes it one of the most frequently attack ve…

stat.ML2020★ 16 cited

Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula

Yuxuan Zhao, Madeleine Udell

Modern large scale datasets are often plagued with missing entries. For tabular data with missing values, a flurry of imputation algorithms solve for a complete matrix which minimi…

stat.ME2019★ 6 cited

Missing Value Imputation for Mixed Data via Gaussian Copula

Yuxuan Zhao, Madeleine Udell

Missing data imputation forms the first critical step of many data analysis pipelines. The challenge is greatest for mixed data sets, including real, Boolean, and ordinal data, whe…