| Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data C Hong, E Rush, M Liu, D Zhou, J Sun, A Sonabend, VM Castro, ... NPJ digital medicine 4 (1), 151, 2021 | 38 | 2021 |
| sureLDA: A multidisease automated phenotyping method for the electronic health record Y Ahuja, D Zhou, Z He, J Sun, VM Castro, V Gainer, SN Murphy, C Hong, ... Journal of the American Medical Informatics Association 27 (8), 1235-1243, 2020 | 34 | 2020 |
| Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization D Zhou, Z Gan, X Shi, A Patwari, E Rush, CL Bonzel, VA Panickan, ... Journal of Biomedical Informatics 133, 104147, 2022 | 17 | 2022 |
| Double/debiased machine learning for logistic partially linear model M Liu, Y Zhang, D Zhou The Econometrics Journal 24 (3), 559-588, 2021 | 14 | 2021 |
| Doubly robust augmented model accuracy transfer inference with high dimensional features D Zhou, M Liu, M Li, T Cai Journal of the American Statistical Association, 1-26, 2024 | 13 | 2024 |
| Federated offline reinforcement learning D Zhou, Y Zhang, A Sonabend-W, Z Wang, J Lu, T Cai Journal of the American Statistical Association, 1-12, 2024 | 10 | 2024 |
| Multimodal representation learning for predicting molecule–disease relations J Wen, X Zhang, E Rush, VA Panickan, X Li, T Cai, D Zhou, YL Ho, ... Bioinformatics 39 (2), btad085, 2023 | 7 | 2023 |
| Multi-source learning via completion of block-wise overlapping noisy matrices D Zhou, T Cai, J Lu arXiv preprint arXiv:2105.10360, 2021 | 6 | 2021 |
| Semisupervised Calibration of Risk with Noisy Event Times (SCORNET) using electronic health record data Y Ahuja, L Liang, D Zhou, S Huang, T Cai Biostatistics 24 (3), 760-775, 2023 | 3 | 2023 |
| Arch: Large-scale knowledge graph via aggregated narrative codified health records analysis Z Gan, D Zhou, E Rush, VA Panickan, YL Ho, G Ostrouchov, Z Xu, S Shen, ... medRxiv, 2023 | 3 | 2023 |
| RING-CPD: asymptotic distribution-free change-point detection for multivariate and non-Euclidean data D Zhou, H Chen arXiv preprint arXiv:2206.03038, 2022 | 3 | 2022 |
| Multi-source learning via completion of block-wise overlapping noisy matrices D Zhou, T Cai, J Lu Journal of Machine Learning Research 24 (221), 1-43, 2023 | 2 | 2023 |
| RISE: Rank in similarity graph edge-count two-sample test D Zhou, H Chen arXiv preprint arXiv:2011.06127, 2021 | 2 | 2021 |
| Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment Y Lou, Y Chen, D Xu, D Zhou, Y Cao, H Wang, Y Huang 2023 IEEE International Conference on Data Mining (ICDM), 1193-1198, 2023 | 1 | 2023 |
| Knowledge-Driven Online Multimodal Automated Phenotyping System X Xiong, SM Sweet, M Liu, C Hong, CL Bonzel, V Ayakulangara Panickan, ... medRxiv, 2023.09. 29.23296239, 2023 | 1 | 2023 |
| Contrastive Learning on Multimodal Analysis of Electronic Health Records T Cai, F Huang, R Nakada, L Zhang, D Zhou arXiv preprint arXiv:2403.14926, 2024 | | 2024 |
| The Wreaths of KHAN: Uniform Graph Feature Selection with False Discovery Rate Control J Liang, Y Liu, D Zhou, S Zhang, J Lu arXiv preprint arXiv:2403.12284, 2024 | | 2024 |
| Inference of Dependency Knowledge Graph for Electronic Health Records Z Xu, Z Gan, D Zhou, S Shen, J Lu, T Cai arXiv preprint arXiv:2312.15611, 2023 | | 2023 |
| A new ranking scheme for modern data and its application to two-sample hypothesis testing D Zhou, H Chen The Thirty Sixth Annual Conference on Learning Theory, 3615-3668, 2023 | | 2023 |
| Hierarchical Pretraining for Biomedical Term Embeddings B Cai, S Zeng, Y Lin, Z Yuan, D Zhou, L Tian arXiv preprint arXiv:2307.00266, 2023 | | 2023 |
