A machine learning framework for stock selection XY Fu, JH Du, YF Guo, MW Liu, T Dong, XW Duan arXiv preprint arXiv:1806.01743, 2018 | 34 | 2018 |
Increasing the energy efficiency of a data center based on machine learning Z Yang, J Du, Y Lin, Z Du, L Xia, Q Zhao, X Guan Journal of Industrial Ecology 26 (1), 323-335, 2022 | 21 | 2022 |
Joint trajectory inference for single-cell genomics using deep learning with a mixture prior JH Du, T Chen, M Gao, J Wang Proceedings of the National Academy of Sciences 121 (37), e2316256121, 2024 | 15* | 2024 |
Predictive maintenance of vrla batteries in ups towards reliable data centers JX Tang, JH Du, Y Lin, QS Jia IFAC-PapersOnLine 53 (2), 13607-13612, 2020 | 14 | 2020 |
Bagging in overparameterized learning: Risk characterization and risk monotonization P Patil, JH Du, AK Kuchibhotla Journal of Machine Learning Research 24 (319), 1--113, 2023 | 13 | 2023 |
Fiber product homotopy method for multiparameter eigenvalue problems JI Rodriguez, JH Du, Y You, LH Lim Numerische Mathematik 148, 853-888, 2021 | 13 | 2021 |
Robust probabilistic modeling for single-cell multimodal mosaic integration and imputation via scVAEIT JH Du, Z Cai, K Roeder Proceedings of the National Academy of Sciences 119 (49), e2214414119, 2022 | 12 | 2022 |
High-dimensional portfolio selection with cardinality constraints JH Du, Y Guo, X Wang Journal of the American Statistical Association 118 (542), 779-791, 2023 | 11 | 2023 |
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation JH Du, P Patil, AK Kuchibhotla Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 9 | 2023 |
Generalized equivalences between subsampling and ridge regularization P Patil, JH Du Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 7 | 2023 |
Extrapolated cross-validation for randomized ensembles JH Du, P Patil, K Roeder, AK Kuchibhotla Journal of Computational and Graphical Statistics, 1-12, 2024 | 3 | 2024 |
Corrected generalized cross-validation for finite ensembles of penalized estimators P Bellec, JH Du, T Koriyama, P Patil, K Tan arXiv preprint arXiv:2310.01374, 2023 | 3 | 2023 |
Simultaneous inference for generalized linear models with unmeasured confounders JH Du, L Wasserman, K Roeder arXiv preprint arXiv:2309.07261, 2023 | 3 | 2023 |
Causal inference for genomic data with multiple heterogeneous outcomes JH Du, Z Zeng, EH Kennedy, L Wasserman, K Roeder arXiv preprint arXiv:2404.09119, 2024 | 2 | 2024 |
Optimal Ridge Regularization for Out-of-Distribution Prediction P Patil, JH Du, RJ Tibshirani Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
Decoupling convolution network for characterizing the metastatic lymph nodes of breast cancer patients R Zeng, X Zhang, C Zheng, JH Du, Z Gao, W Jun, J Shen, Y Lu Medical Physics 48 (7), 3679-3690, 2021 | 2 | 2021 |
Implicit Regularization Paths of Weighted Neural Representations JH Du, P Patil arXiv preprint arXiv:2408.15784, 2024 | | 2024 |
Distance-Preserving Generative Modeling of Spatial Transcriptomics W Zhou, JH Du arXiv preprint arXiv:2408.00911, 2024 | | 2024 |
Network-based Neighborhood regression Y Zhen, JH Du arXiv preprint arXiv:2407.04104, 2024 | | 2024 |
Augmented Doubly Robust Post-Imputation Inference for Proteomic data H Moon, JH Du, J Lei, K Roeder bioRxiv, 2024.03. 23.586387, 2024 | | 2024 |