Search Results - "Dai, Zongyu"

Integrative learning of structured high‐dimensional data from multiple datasets by Chang, Changgee, Dai, Zongyu, Oh, Jihwan, Long, Qi

“…Integrative learning of multiple datasets has the potential to mitigate the challenge of small n$$ n $$ and large p$$ p $$ that is often encountered in…”
Get full text

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort CollaborativeResearch in context by Timothy Bergquist, Johanna Loomba, Emily Pfaff, Fangfang Xia, Zixuan Zhao, Yitan Zhu, Elliot Mitchell, Biplab Bhattacharya, Gaurav Shetty, Tamanna Munia, Grant Delong, Adbul Tariq, Zachary Butzin-Dozier, Yunwen Ji, Haodong Li, Jeremy Coyle, Seraphina Shi, Rachael V. Philips, Andrew Mertens, Romain Pirracchio, Mark van der Laan, John M. Colford, Jr, Alan Hubbard, Jifan Gao, Guanhua Chen, Neelay Velingker, Ziyang Li, Yinjun Wu, Adam Stein, Jiani Huang, Zongyu Dai, Qi Long, Mayur Naik, John Holmes, Danielle Mowery, Eric Wong, Ravi Parekh, Emily Getzen, Jake Hightower, Jennifer Blase, Ataes Aggarwal, Joseph Agor, Amera Al-Amery, Oluwatobiloba Aminu, Adit Anand, Corneliu Antonescu, Mehak Arora, Sayed Asaduzzaman, Tanner Asmussen, Mahdi Baghbanzadeh, Frazier Baker, Bridget Bangert, Laila Bekhet, Biplab Bhattacharya, Jenny Blase, Zachary Butzin-Dozier, Brian Caffo, Hao Chang, Zeyuan Chen, Jiandong Chen, Jeffrey Chiang, Peter Cho, Robert Cockrell, Parker Combs, Jeremy Coyle, Ciara Crosby, Zongyu Dai, Ran Dai, Anseh Danesharasteh, Elif Yildirim, Grant Delong, Ryan Demilt, Kaiwen Deng, Sanjoy Dey, Rohan Dhamdhere, Andrew Dickson, Phoebe Dijour, Dong Dinh, Richard Dixon, Albi Domi, Souradeep Dutta, Mirna Elizondo, Zeynep Ertem, Solomon Feuerwerker, Danica Fliss, Jennifer Fowler, Sunyang Fu, Kelly Gardner, Neil Getty, Mohamed Ghalwash, Logan Gloster, Phil Greer, Yuanfang Guan, Colby Ham, Samer Hanoudi, Jeremy Harper, Nathaniel Hendrix, Leeor Hershkovich, Jake Hightower, Junjie Hu

“…Background: While many patients seem to recover from SARS-CoV-2 infections, many patients report experiencing SARS-CoV-2 symptoms for weeks or months after…”
Get full text

Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems by Dai, Zongyu, Bu, Zhiqi, Long, Qi

“…Missing data are present in most real world problems and need careful handling to preserve the prediction accuracy and statistical consistency in the…”
Get full text

Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data by Dai, Zongyu, Bu, Zhiqi, Long, Qi

“…Missing data are ubiquitous in real world applications and, if not adequately handled, may lead to the loss of information and biased findings in downstream…”
Get full text

Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems by Dai, Zongyu, Bu, Zhiqi, Long, Qi

“…Missing data are present in most real world problems and need careful handling to preserve the prediction accuracy and statistical consistency in the…”
Get full text

MISNN: Multiple Imputation via Semi-parametric Neural Networks by Bu, Zhiqi, Dai, Zongyu, Zhang, Yiliang, Long, Qi

“…Multiple imputation (MI) has been widely applied to missing value problems in biomedical, social and econometric research, in order to avoid improper inference…”
Get full text

Integrative Learning of Structured High-Dimensional Data from Multiple Datasets by Chang, Changgee, Dai, Zongyu, Oh, Jihwan, Long, Qi

“…Integrative learning of multiple datasets has the potential to mitigate the challenge of small $n$ and large $p$ that is often encountered in analysis of big…”
Get full text

On the Convergence and Calibration of Deep Learning with Differential Privacy by Bu, Zhiqi, Wang, Hua, Dai, Zongyu, Long, Qi

“…Differentially private (DP) training preserves the data privacy usually at the cost of slower convergence (and thus lower accuracy), as well as more severe…”
Get full text