1 code implementation • 9 Oct 2023 • Gang Xu, Shuhao Wang, Lingyu Zhao, Xiao Chen, Tongwei Wang, Lang Wang, Zhenwei Luo, DaHan Wang, Zewen Zhang, Aijun Liu, Wei Ba, Zhigang Song, Huaiyin Shi, Dingrong Zhong, Jianpeng Ma
Histopathology image analysis plays a crucial role in cancer diagnosis.
no code implementations • 12 Aug 2021 • Meng Xu, Shun Zhang, Jianpeng Ma, Octavia A. Dobre
Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks.
no code implementations • 9 Aug 2021 • Shunbo Zhang, Shun Zhang, Jianpeng Ma, Tian Liu, Octavia A. Dobre
We design a latent ordinary differential equation (ODE)-based network under the variational auto-encoder (VAE) framework to learn the mapping function from the partial uplink channels to the full downlink ones at the BS side.
no code implementations • 14 May 2021 • Shunbo Zhang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre
Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks.
no code implementations • 22 Dec 2020 • Meng Xu, Shun Zhang, Caijun Zhong, Jianpeng Ma, Octavia A. Dobre
The reconfigurable intelligent surface (RIS) is considered as a promising new technology for reconfiguring wireless communication environments.
Information Theory Information Theory
no code implementations • 3 Sep 2020 • Shunbo Zhang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre
In this paper, we add signal processing units for a few antennas at RIS to partially acquire the channels.
no code implementations • 3 Sep 2020 • Yindi Yang, Shun Zhang, Feifei Gao, Chao Xu, Jianpeng Ma, Octavia A. Dobre
In massive multiple-input multiple-output (MIMO) systems, the large number of antennas would bring a great challenge for the acquisition of the accurate channel state information, especially in the frequency division duplex mode.
3 code implementations • ICCV 2019 • Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, Wei Xu
In this research, we propose CAMEL, a weakly supervised learning framework for histopathology image segmentation using only image-level labels.