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Jin-Hong Du
标题
引用次数
引用次数
年份
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
342018
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
212022
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
142020
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
132023
Fiber product homotopy method for multiparameter eigenvalue problems
JI Rodriguez, JH Du, Y You, LH Lim
Numerische Mathematik 148, 853-888, 2021
132021
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
122022
High-dimensional portfolio selection with cardinality constraints
JH Du, Y Guo, X Wang
Journal of the American Statistical Association 118 (542), 779-791, 2023
112023
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
92023
Generalized equivalences between subsampling and ridge regularization
P Patil, JH Du
Thirty-seventh Conference on Neural Information Processing Systems, 2023
72023
Extrapolated cross-validation for randomized ensembles
JH Du, P Patil, K Roeder, AK Kuchibhotla
Journal of Computational and Graphical Statistics, 1-12, 2024
32024
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
32023
Simultaneous inference for generalized linear models with unmeasured confounders
JH Du, L Wasserman, K Roeder
arXiv preprint arXiv:2309.07261, 2023
32023
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
22024
Optimal Ridge Regularization for Out-of-Distribution Prediction
P Patil, JH Du, RJ Tibshirani
Forty-first International Conference on Machine Learning, 2024
22024
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
22021
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
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