3 citations · 4 across the 3 of their papers we have counts for
4 papers
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Lin Liu, Mingming Zhao, Shanxin Yuan +5
Image compression aims to reduce the information redundancy in images. Most existing neural image compression methods rely on side information from hyperprior or context models to…
Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems
Mingming Zhao, Lin Liu, Lifu Liu +2
The downlink channel state information (CSI) estimation and low overhead acquisition are the major challenges for massive MIMO systems in frequency division duplex to enable high M…
A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning
Yongfeng Li, Mingming Zhao, Weijie Chen +1
In this paper, we consider the linear programming (LP) formulation for deep reinforcement learning. The number of the constraints depends on the size of state and action spaces, wh…
A Stochastic Trust-Region Framework for Policy Optimization
Mingming Zhao, Yongfeng Li, Zaiwen Wen
In this paper, we study a few challenging theoretical and numerical issues on the well known trust region policy optimization for deep reinforcement learning. The goal is to find a…