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Journal Articles
- 2022
[j2]Zhishen Huang
, Saiprasad Ravishankar:
Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI. IEEE Trans. Computational Imaging 8: 333-345 (2022)- 2021
- [j1]Zhishen Huang, Stephen Becker:
Spectral estimation from simulations via sketching. J. Comput. Phys. 447: 110686 (2021)
Conference and Workshop Papers
- 2024
- [c6]Carles Balsells Rodas, Fan Yang, Zhishen Huang, Yan Gao:
Explainable Uncertainty Attribution for Sequential Recommendation. SIGIR 2024: 2401-2405 - 2023
- [c5]William Chettleburgh, Zhishen Huang, Ming-Hsuan Yang:
Fast Robust Principle Component Analysis Using Gauss-Newton Iterations. ICASSP 2023: 1-5 - 2021
- [c4]Zhishen Huang, Stephen Becker:
Stochastic Gradient Langevin Dynamics with Variance Reduction. IJCNN 2021: 1-8 - 2019
- [c3]Zhishen Huang, Stephen Becker:
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. INNSBDDL 2019: 58-77 - 2015
- [c2]Zhishen Huang, Wai-kuen Cham:
A novel algorithm for shuttlecock tracking. APSIPA 2015: 346-349 - 2013
- [c1]Min Guo, Haizhong Qian, Xiao Wang, Haiwei He, Zhishen Huang:
A new road network selection approach based on the importance criteria of spatial interactive relationship. Geoinformatics 2013: 1-5
Informal and Other Publications
- 2023
- [i10]Zhishen Huang:
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences. CoRR abs/2308.14946 (2023) - [i9]Ling Chen, Zhishen Huang, Yong Long, Saiprasad Ravishankar:
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning. CoRR abs/2311.12071 (2023) - 2022
- [i8]Xikai Yang, Zhishen Huang, Yong Long, Saiprasad Ravishankar:
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction. CoRR abs/2203.11565 (2022) - 2021
- [i7]Zhishen Huang, Stephen Becker:
Stochastic Gradient Langevin Dynamics with Variance Reduction. CoRR abs/2102.06759 (2021) - [i6]Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar:
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. CoRR abs/2103.14528 (2021) - [i5]Zhishen Huang, Marc Louis Klasky, Trevor Wilcox, Saiprasad Ravishankar:
Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. CoRR abs/2110.15424 (2021) - [i4]Zhishen Huang, Saiprasad Ravishankar:
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI. CoRR abs/2111.09212 (2021) - 2020
- [i3]Andrés Abeliuk, Zhishen Huang, Emilio Ferrara, Kristina Lerman:
Predictability limit of partially observed systems. CoRR abs/2001.06547 (2020) - [i2]Zhishen Huang, Stephen Becker:
Spectral estimation from simulations via sketching. CoRR abs/2007.11026 (2020) - 2019
- [i1]Zhishen Huang, Stephen Becker:
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. CoRR abs/1901.08958 (2019)
Coauthor Index
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