| Explainable multi-task learning for multi-modality biological data analysis X Tang, J Zhang, Y He, X Zhang, Z Lin, S Partarrieu, EB Hanna, Z Ren, ... Nature communications 14 (1), 2546, 2023 | 17 | 2023 |
| Pruning deep neural networks from a sparsity perspective E Diao, G Wang, J Zhan, Y Yang, J Ding, V Tarokh arXiv preprint arXiv:2302.05601, 2023 | 13 | 2023 |
| Information criteria for model selection J Zhang, Y Yang, J Ding Wiley Interdisciplinary Reviews: Computational Statistics 15 (5), e1607, 2023 | 7 | 2023 |
| Is a classification procedure good enough?—A goodness-of-fit assessment tool for classification learning J Zhang, J Ding, Y Yang Journal of the American Statistical Association 118 (542), 1115-1125, 2023 | 6 | 2023 |
| Parallel assisted learning X Wang, J Zhang, M Hong, Y Yang, J Ding IEEE Transactions on Signal Processing 70, 5848-5858, 2022 | 5 | 2022 |
| Multi-task learning for single-cell multi-modality biology X Tang, J Zhang, Y He, X Zhang, Z Lin, S Partarrieu, EB Hanna, Z Ren, ... bioRxiv, 2022.06. 03.494730, 2022 | 2 | 2022 |
| Targeted cross-validation J Zhang, J Ding, Y Yang Bernoulli 29 (1), 377-402, 2023 | 1 | 2023 |
| Targeted Cross-Validation J Zhang, J Ding, Y Yang arXiv preprint arXiv:2109.06949, 2021 | 1 | 2021 |
Jie DingAssociate Professor, University of Minnesota Twin CitiesVerified email at umn.edu
