Huizhuo Yuan

SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction

Zhanxing Zhu, Huizhuo Yuan, Jinzhu Jia, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Stochastic Modified Equations for Continuous Limit of Stochastic ADMM pdf

Qingyun Sun, Chris Junchi Li, Xiang Zhou, 2020, ArXiv.

Policy Optimization via Stochastic Recursive Gradient Algorithm

Yuren Zhou, Chris Junchi Li, Huizhuo Yuan, 2018 .

Stochastic Recursive Momentum for Policy Gradient Methods pdf

Ji Liu, Xiangru Lian, Huizhuo Yuan, 2020, ArXiv.

Object-Oriented State Abstraction in Reinforcement Learning for Video Games

Yu Chen, Yujun Li, Huizhuo Yuan, 2019, 2019 IEEE Conference on Games (CoG).

Stochastic Recursive Momentum Method for Non-Convex Compositional Optimization

Wenqing Hu, Huizhuo Yuan, Wenqing Hu, 2020, 2006.01688.

Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory

Yuren Zhou, Qingyun Sun, Chris Junchi Li, 2019, ICML.

Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent

Xiangru Lian, Wenqing Hu, Chris Junchi Li, 2019, NeurIPS.

Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization pdf

Ji Liu, Xiangru Lian, Huizhuo Yuan, 2019, ArXiv.