Zhishen Huang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Unsupervised Learning

Image Reconstruction

Stochastic Gradient

Top Venues

J. Comput. Phys.

Publications

Carles Balsells Rodas, Fan Yang, Zhishen Huang, Yan Gao
Explainable Uncertainty Attribution for Sequential Recommendation. SIGIR (2024)
William Chettleburgh, Zhishen Huang, Ming-Hsuan Yang
Fast Robust Principle Component Analysis Using Gauss-Newton Iterations. ICASSP (2023)
Zhishen Huang
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences. CoRR (2023)
Ling Chen, Zhishen Huang, Yong Long, Saiprasad Ravishankar
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning. CoRR (2023)
Zhishen Huang, Saiprasad Ravishankar
Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI. IEEE Trans. Computational Imaging 8 (2022)
Xikai Yang, Zhishen Huang, Yong Long, Saiprasad Ravishankar
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction. CoRR (2022)
Zhishen Huang, Stephen Becker
Stochastic Gradient Langevin Dynamics with Variance Reduction. IJCNN (2021)
Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. CoRR (2021)
Zhishen Huang, Marc Louis Klasky, Trevor Wilcox, Saiprasad Ravishankar
Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. CoRR (2021)
Zhishen Huang, Stephen Becker
Spectral estimation from simulations via sketching. J. Comput. Phys. 447 (2021)
Zhishen Huang, Stephen Becker
Stochastic Gradient Langevin Dynamics with Variance Reduction. CoRR (2021)
Zhishen Huang, Saiprasad Ravishankar
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI. CoRR (2021)
Zhishen Huang, Stephen Becker
Spectral estimation from simulations via sketching. CoRR (2020)
Andrés Abeliuk, Zhishen Huang, Emilio Ferrara, Kristina Lerman
Predictability limit of partially observed systems. CoRR (2020)
Zhishen Huang, Stephen Becker
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. CoRR (2019)
Zhishen Huang, Stephen Becker
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. INNSBDDL (2019)
Zhishen Huang, Wai-kuen Cham
A novel algorithm for shuttlecock tracking. APSIPA (2015)
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)