| A simple convolutional neural network for prediction of enhancer–promoter interactions with DNA sequence data Z Zhuang, X Shen, W Pan Bioinformatics 35 (17), 2899-2906, 2019 | 60 | 2019 |
| Early stopping for deep image prior H Wang, T Li, Z Zhuang, T Chen, H Liang, J Sun arXiv preprint arXiv:2112.06074, 2021 | 56 | 2021 |
| Self-validation: Early stopping for single-instance deep generative priors T Li, Z Zhuang, H Liang, L Peng, H Wang, J Sun arXiv preprint arXiv:2110.12271, 2021 | 19 | 2021 |
| Blind image deblurring with unknown kernel size and substantial noise Z Zhuang, T Li, H Wang, J Sun International Journal of Computer Vision 132 (2), 319-348, 2024 | 16 | 2024 |
| Deep learning initialized phase retrieval R Manekar, Z Zhuang, K Tayal, V Kumar, J Sun NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 15 | 2020 |
| Practical phase retrieval using double deep image priors Z Zhuang, D Yang, F Hofmann, D Barmherzig, J Sun arXiv preprint arXiv:2211.00799, 2022 | 9 | 2022 |
| Unlocking inverse problems using deep learning: Breaking symmetries in phase retrieval K Tayal, CH Lai, R Manekar, Z Zhuang, V Kumar, J Sun NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 9 | 2020 |
| Deep random projector: Accelerated deep image prior T Li, H Wang, Z Zhuang, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies R He, M Liu, Z Lin, Z Zhuang, X Shen, W Pan Biostatistics 25 (2), 468-485, 2024 | 6 | 2024 |
| A graph convolutional neural network for gene expression data analysis with multiple gene networks H Yang, Z Zhuang, W Pan Statistics in Medicine 40 (25), 5547-5564, 2021 | 6 | 2021 |
| Local Epigenomic data are more informative than local genome sequence data in predicting enhancer-promoter interactions using neural networks M Xiao, Z Zhuang, W Pan Genes 11 (1), 41, 2019 | 6 | 2019 |
| Deep learning-based feature extraction with MRI data in neuroimaging genetics for Alzheimer’s disease D Chakraborty, Z Zhuang, H Xue, MB Fiecas, X Shen, W Pan Genes 14 (3), 626, 2023 | 4 | 2023 |
| Phase retrieval using single-instance deep generative prior K Tayal, R Manekar, Z Zhuang, D Yang, V Kumar, F Hofmann, J Sun Optics and Photonics for Sensing the Environment, JW2A. 37, 2021 | 4 | 2021 |
| Phase retrieval via second-order nonsmooth optimization Z Zhuang, G Wang, Y Travadi, J Sun ICML workshop on Beyond First Order Methods in Machine Learning, 2020 | 4 | 2020 |
| Breaking symmetries in data-driven phase retrieval R Manekar, K Tayal, Z Zhuang, CH Lai, V Kumar, J Sun Computational Optical Sensing and Imaging, CTh4A. 4, 2021 | 2 | 2021 |
| Random Projector: Efficient Deep Image Prior T Li, Z Zhuang, H Wang, J Sun ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| What is Wrong with End-to-End Learning for Phase Retrieval? W Zhang, Y Wan, Z Zhuang, J Sun arXiv preprint arXiv:2403.15448, 2024 | | 2024 |
| Phase Retrieval Using Double Deep Image Priors Z Zhuang, D Yang, D Barmherzig, J Sun NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 0 | | |
Ju SunAssistant Professor, Computer Science & Engineering, University of Minnesota at Twin Cities在 umn.edu 的电子邮件经过验证
