| Smoothing of Gaussian quantum dynamics for force detection Z Huang, M Sarovar Physical Review A 97 (4), 042106, 2018 | 17 | 2018 |
| Predictability limit of partially observed systems A Abeliuk, Z Huang, E Ferrara, K Lerman Scientific Reports 10 (1), 20427, 2020 | 15 | 2020 |
| Perturbed proximal descent to escape saddle points for non-convex and non-smooth objective functions Z Huang, S Becker INNS Big Data and Deep Learning conference 2019 1, 58-77, 2019 | 10 | 2019 |
| Model-based reconstruction with learning: From unsupervised to supervised and beyond Z Huang, S Ye, MT McCann, S Ravishankar Deep Learning for Biomedical Image Reconstruction, 28-52, 2023 | 8 | 2023 |
| Single-pass Object-adaptive data undersampling and reconstruction for MRI Z Huang, S Ravishankar IEEE Transactions on Computational Imaging 8, 333-345, 2022 | 5 | 2022 |
| Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography Z Huang, M Klasky, T Wilcox, S Ravishankar Applied Optics 61 (10), 2805-2817, 2022 | 5 | 2022 |
| Stochastic Gradient Langevin Dynamics with Variance Reduction Z Huang, S Becker 2021 International Joint Conference on Neural Networks (IJCNN), 2021 | 4 | 2021 |
| Spectral estimation from simulations via sketching Z Huang, S Becker Journal of Computational Physics 447, 110686, 2021 | 3 | 2021 |
| Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Z Huang ICML 2023 Workshop: Sampling and Optimization in Discrete Space (SODS 2023), 2023 | 1 | 2023 |
| Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning L Chen, Z Huang, Y Long, S Ravishankar arXiv preprint arXiv:2311.12071, 2023 | | 2023 |
| Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction L Chen, X Yang, Z Huang, Y Long, S Ravishankar Medical Physics 50 (10), 6096-6117, 2023 | | 2023 |
| Fast Robust Principle Component Analysis Using Gauss-Newton Iterations W Chettleburgh, Z Huang, M Yan ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction L Chen, Z Huang, Y Long, S Ravishankar 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | | 2022 |
| Learning from Hydrodynamics Simulations with Mass Constraints for Density Reconstruction in Dynamic Tomography ML Klasky, Z Huang, MT McCann, JLS Disterhaupt, S Ravishankar Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2022 | | 2022 |
| Randomization in Statistical Machine Learning Z Huang University of Colorado at Boulder, 2020 | | 2020 |
Saiprasad RavishankarMichigan State UniversityVerified email at msu.edu
