Multi-user beamforming in RIS-aided communications and experimental validations

no code implementations • 18 Sep 2023 • Zhibo Zhou, Haifan Yin, Li Tan, Ruikun Zhang, Kai Wang, Yingzhuang Liu

To generate the reflection coefficients with the aim of maximizing the spectral efficiency, we propose a quadratic transform-based low-rank multi-user beamforming (QTLM) algorithm.

How Sparse Can We Prune A Deep Network: A Fundamental Limit Viewpoint

1 code implementation • 9 Jun 2023 • Qiaozhe Zhang, Ruijie Zhang, Jun Sun, Yingzhuang Liu

In addition, we provide efficient countermeasures to address the challenges in computing the pruning limit, which involves accurate spectrum estimation of a large-scale and non-positive Hessian matrix.

Network Pruning

Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification

1 code implementation • 8 Jun 2023 • Ruijie Zhang, Qiaozhe Zhang, Yingzhuang Liu, Hao Xin, Yan Liu, Xinggang Wang

Whole slide image (WSI) refers to a type of high-resolution scanned tissue image, which is extensively employed in computer-assisted diagnosis (CAD).

Image Classification Multiple Instance Learning