Exploring Effective Mask Sampling Modeling for Neural Image Compression

no code implementations • 9 Jun 2023 • Lin Liu, Mingming Zhao, Shanxin Yuan, Wenlong Lyu, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

Specifically, Cube Mask Sampling Module (CMSM) is proposed to apply both spatial and channel mask sampling modeling to image compression in the pre-training stage.

Image Compression Self-Supervised Learning

Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems

no code implementations • 8 Jun 2023 • Mingming Zhao, Lin Liu, Lifu Liu, Mengke Li, Qi Tian

To achieve joint channel estimation and feedback, this paper proposes an encoder-decoder based network that unveils the intrinsic frequency-domain correlation within the CSI matrix.

Denoising

A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning

no code implementations • 20 May 2021 • Yongfeng Li, Mingming Zhao, WeiJie Chen, Zaiwen Wen

A general theoretical analysis shows that the solutions generated from a sequence of the constrained optimizations converge to the optimal solution of the LP if the error is controlled properly.

reinforcement-learning Reinforcement Learning (RL)