2.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shuguang Cui5 profiles29 · h 63
- Arnulf Jentzen22 · h 49
- Z. Luo18 · h 89
- Guangxu Zhu5 profiles17 · h 33
- Xiaoguang Han2 profiles15 · h 42
- Hang Li2 profiles13 · h 18
- Tsung-Hui Chang11 · h 45
- Qingjiang Shi3 profiles9 · h 36
- H. Poor2 profiles7 · h 141
- Rui Zhang3 profiles7 · h 137
- Shiyin Li7 · h 21
- Xiaoyang Li2 profiles7 · h 9
- Chinese University of Hong Kong, ShenzhenCN158 papers
- University of MünsterDE21 papers
- Chinese University of Hong KongHK16 papers
- University of Hong KongHK15 papers
- ETH ZurichCH14 papers
- Sun Yat-sen UniversityCN13 papers
- National University of SingaporeSG12 papers
- Peng Cheng LaboratoryCN10 papers
- Princeton UniversityUS10 papers
- Tongji UniversityCN10 papers
- Beijing University of Posts and TelecommunicationsCN9 papers
- Chinese Academy of SciencesCN9 papers
7 papers · 2 filters
Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming
Yaowen Zhang, Kaiming Shen, Shuyi Ren +3
This work proposes linear time strategies to optimally configure the phase shifts for the reflective elements of an intelligent reflecting surface (IRS). Specifically, we show that…
Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming
Shuyi Ren, Kaiming Shen, Yaowen Zhang +3
This work gives a blind beamforming strategy for intelligent reflecting surface (IRS), aiming to boost the received signal-to-noise ratio (SNR) by coordinating phase shifts across…
Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks
Shuai Ma, Fan Zhang, Songtao Lu +5
In this paper, we investigate the performance of a practical aggregated LiFi-WiFi system with the discrete constellation inputs from a practical view. We derive the achievable rate…
Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications
Boyu Ning, Zhongbao Tian, Weidong Mei +5
Terahertz (THz) communications with a frequency band THz are envisioned as a promising solution to future high-speed wireless communication. Although with tens of gigahert…
Quantized Federated Learning under Transmission Delay and Outage Constraints
Yanmeng Wang, Yanqing Xu, Qingjiang Shi +1
Federated learning (FL) has been recognized as a viable distributed learning paradigm which trains a machine learning model collaboratively with massive mobile devices in the wirel…
Robust Beamforming Design for Covert Communications
Shuai Ma, Yunqi Zhang, Hang Li +4
In this paper, we consider a common unicast beamforming network where Alice utilizes the communication to Carol as a cover and covertly transmits a message to Bob without being rec…
Learning to Decode Protograph LDPC Codes
Jincheng Dai, Kailin Tan, Zhongwei Si +4
The recent development of deep learning methods provides a new approach to optimize the belief propagation (BP) decoding of linear codes. However, the limitation of existing works…