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Zongyu Dai

Showing results (1-10 of 9) with videos related to

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Proceedings of Machine Learning Research|July 17, 2023
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete DataZongyu Dai, Zhiqi Bu, Qi Long
Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications|February 16, 2022
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value ProblemsZongyu Dai, Zhiqi Bu, Qi Long
Proceedings of Machine Learning Research|September 13, 2024
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR DataZongyu Dai, Emily Getzen, Qi Long
Transactions on Machine Learning Research|April 2, 2024
On the Convergence and Calibration of Deep Learning with Differential PrivacyZhiqi Bu, Hua Wang, Zongyu Dai, et al.
Statistical Analysis and Data Mining|May 22, 2023
Integrative Learning of Structured High-Dimensional Data from Multiple DatasetsChanggee Chang, Zongyu Dai, Jihwan Oh, et al.
Advances in Knowledge Discovery and Data Mining : ... Pacific-Asia Conference, PAKDD ..., Proceedings. Pacific-Asia Conference on Knowledge Discovery and Data Mining|February 19, 2024
MISNN: Multiple Imputation via Semi-parametric Neural NetworksZhiqi Bu, Zongyu Dai, Yiliang Zhang, et al.
NPJ Systems Biology and Applications|June 11, 2026
A powerful representation learning method for enhanced analysis of incomplete multi-omics dataJenna L Ballard, Zongyu Dai, Li Shen, et al.
Biorxiv : the Preprint Server for Biology|July 16, 2025
JASMINE: A powerful representation learning method for enhanced analysis of incomplete multi-omics dataJenna L Ballard, Zongyu Dai, Li Shen, et al.
Ebiomedicine|September 25, 2024
Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort CollaborativeTimothy Bergquist, Johanna Loomba, Emily Pfaff, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Proceedings of Machine Learning Research|July 17, 2023
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete DataZongyu Dai, Zhiqi Bu, Qi Long
Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications|February 16, 2022
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value ProblemsZongyu Dai, Zhiqi Bu, Qi Long
Proceedings of Machine Learning Research|September 13, 2024
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR DataZongyu Dai, Emily Getzen, Qi Long
Transactions on Machine Learning Research|April 2, 2024
On the Convergence and Calibration of Deep Learning with Differential PrivacyZhiqi Bu, Hua Wang, Zongyu Dai, et al.
Statistical Analysis and Data Mining|May 22, 2023
Integrative Learning of Structured High-Dimensional Data from Multiple DatasetsChanggee Chang, Zongyu Dai, Jihwan Oh, et al.
Advances in Knowledge Discovery and Data Mining : ... Pacific-Asia Conference, PAKDD ..., Proceedings. Pacific-Asia Conference on Knowledge Discovery and Data Mining|February 19, 2024
MISNN: Multiple Imputation via Semi-parametric Neural NetworksZhiqi Bu, Zongyu Dai, Yiliang Zhang, et al.
NPJ Systems Biology and Applications|June 11, 2026
A powerful representation learning method for enhanced analysis of incomplete multi-omics dataJenna L Ballard, Zongyu Dai, Li Shen, et al.
Biorxiv : the Preprint Server for Biology|July 16, 2025
JASMINE: A powerful representation learning method for enhanced analysis of incomplete multi-omics dataJenna L Ballard, Zongyu Dai, Li Shen, et al.
Ebiomedicine|September 25, 2024
Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort CollaborativeTimothy Bergquist, Johanna Loomba, Emily Pfaff, et al.
Pageof 1