Grace Y. Yi

21 papers A* 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Boosting Prediction with Data Missing Not at Random.
J. Comput. Graph. Stat.
Yuan Bian, Grace Y. Yi, Wenqing He
2026 J jnl
Boosting methods for interval-censored data with regression and classification.
CoRR
Yuan Bian, Grace Y. Yi, Wenqing He
2025 A* conf
Boosting Methods for Interval-censored Data with Regression and Classification.
ICLR
Yuan Bian, Grace Y. Yi, Wenqing He
2025 J jnl
Empirical investigations of boosting with pseudo-outcome imputation for missing responses.
Stat. Comput.
Yuan Bian, Grace Y. Yi, Wenqing He
2025 J jnl
Generative AI for the Design of Molecules: Advances and Challenges.
J. Chem. Inf. Model.
Yan Sun, Lianghong Chen, Zihao Jing, Yan Yi Li, Dongkyu Kim, Jing-Yan Gao, Reza Noroozi, Grace Y. Yi, Conrard Giresse Tetsassi Feugmo, Anna Klinkova, Kyla Sask, Agustinus Kristiadi, Boyu Wang, Elizabeth R. Gillies, Kun Ping Lu, Haotian Harvey Shi, Pingzhao Hu
2024 J jnl
A unified framework of analyzing missing data and variable selection using regularized likelihood.
Comput. Stat. Data Anal.
Yuan Bian, Grace Y. Yi, Wenqing He
2024 J jnl
Learning from Noisy Labels via Conditional Distributionally Robust Optimization.
CoRR
Hui Guo, Grace Y. Yi, Boyu Wang
2024 J jnl
Variable selection in multivariate regression models with measurement error in covariates.
J. Multivar. Anal.
Jingyu Cui, Grace Y. Yi
2023 J jnl
Bayesian analysis for matrix-variate logistic regression with/without response misclassification.
Stat. Comput.
Junhan Fang, Grace Y. Yi
2023 J jnl
Classification Trees with Mismeasured Responses.
J. Classif.
Liqun Diao, Grace Y. Yi
2023 J jnl
Polya tree Monte Carlo method.
Comput. Stat. Data Anal.
Haoxin Zhuang, Liqun Diao, Grace Y. Yi
2021 J jnl
Dynamic tilted current correlation for high dimensional variable screening.
J. Multivar. Anal.
Bangxin Zhao, Xin Liu, Wenqing He, Grace Y. Yi
2021 J jnl
Text mining and sentiment analysis of COVID-19 tweets.
CoRR
Qihuang Zhang, Grace Y. Yi, Li-Pang Chen, Wenqing He
2021 J jnl
mgee2: An R package for marginal analysis of longitudinal ordinal data with misclassified responses and covariates.
R J.
Yuliang Xu, Shuo Shuo Liu, Grace Y. Yi
2019 — conf
Support Vector Machine with Graphical Network Structures in Features.
MLDM (2)
Wenqing He, Grace Y. Yi, Li-Pang Chen
2019 J jnl
Variable selection via the composite likelihood method for multilevel longitudinal data with missing responses and covariates.
Comput. Stat. Data Anal.
Haocheng Li, Di Shu, Wenqing He, Grace Y. Yi
2019 J jnl
ipwErrorY: An R Package for Estimation of Average Treatment Effect with Misclassified Binary Outcome.
R J.
Di Shu, Grace Y. Yi
2019 J jnl
swgee: An R Package for Analyzing Longitudinal Data with Response Missingness and Covariate Measurement Error.
R J.
Juan Xiong, Grace Y. Yi
2018 J jnl
Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses.
Comput. Stat. Data Anal.
Haocheng Li, Di Shu, Yukun Zhang, Grace Y. Yi
2013 J jnl
A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates.
Comput. Stat. Data Anal.
Haocheng Li, Grace Y. Yi
2009 J jnl
Analysis of correlated binary data under partially linear single-index logistic models.
J. Multivar. Anal.
Grace Y. Yi, Wenqing He, Hua Liang