Integrative learning of structured high‐dimensional data from multiple datasets
Chang, Changgee, Dai, Zongyu, Oh, Jihwan, Long, Qi
Published in Statistical analysis and data mining (01.04.2023)
Published in Statistical analysis and data mining (01.04.2023)
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Journal Article
On the Convergence and Calibration of Deep Learning with Differential Privacy
Bu, Zhiqi, Wang, Hua, Dai, Zongyu, Long, Qi
Published in Transactions on machine learning research (01.06.2023)
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Published in Transactions on machine learning research (01.06.2023)
Journal Article
MISNN: Multiple Imputation via Semi-parametric Neural Networks
Bu, Zhiqi, Dai, Zongyu, Zhang, Yiliang, Long, Qi
Published in Advances in knowledge discovery and data mining : ... Pacific-Asia Conference, PAKDD ..., proceedings. Pacific-Asia Conference on Knowledge Discovery and Data Mining (01.01.2023)
Published in Advances in knowledge discovery and data mining : ... Pacific-Asia Conference, PAKDD ..., proceedings. Pacific-Asia Conference on Knowledge Discovery and Data Mining (01.01.2023)
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Journal Article
Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort CollaborativeResearch in context
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
Published in EBioMedicine (01.10.2024)
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Published in EBioMedicine (01.10.2024)
Journal Article
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems
Dai, Zongyu, Bu, Zhiqi, Long, Qi
Published in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (01.12.2021)
Published in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (01.12.2021)
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Conference Proceeding
Journal Article
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data
Dai, Zongyu, Getzen, Emily, Long, Qi
Published in Proceedings of machine learning research (01.05.2024)
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Published in Proceedings of machine learning research (01.05.2024)
Journal Article