no code implementations • 12 Apr 2024 • Cui Zhang, Xiao Xu, Qiong Wu, Pingyi Fan, Qiang Fan, Huiling Zhu, Jiangzhou Wang
In this scheme, vehicle s mobility, channel conditions with temporal variations, computational resources with temporal variations, different data amount, transmission channel status of vehicles as well as Byzantine attacks were taken into account. Simulation results show that the proposed scheme effectively improves the safety and accuracy of the global model.
no code implementations • 11 Feb 2024 • Mahdi Eskandari, Huiling Zhu, Jiangzhou Wang
A cell-free network merged with active reconfigurable reflecting surfaces (RIS) is investigated in this paper.
1 code implementation • 18 Jan 2024 • Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Huiling Zhu, Khaled B. Letaief
Finally, we propose a multi-agent deep reinforcement learning (MADRL) based algorithm to decide where the predicted popular contents are collaboratively cached among SBSs.
no code implementations • 3 Sep 2022 • Mahdi Eskandari, Huiling Zhu, Arman Shojaeifard, Jiangzhou Wang
The paper presents a joint beamforming algorithm using statistical channel state information (S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless communications.
no code implementations • 12 Apr 2022 • Mahdi Eskandari, Shipra Kapoor, Keith Briggs, Arman Shojaeifard, Huiling Zhu, Alain Mourad
Interference continues to be a key limiting factor in cellular radio access network (RAN) deployments.
no code implementations • 8 Feb 2021 • Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang
This paper proposes a new simultaneous terahertz (THz) information and power transfer (STIPT) system, which is assisted by reconfigurable intelligent surface (RIS) for both the information data and power transmission.
no code implementations • 27 Oct 2020 • Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang
In this paper, unmanned aerial vehicles (UAVs) and intelligent reflective surface (IRS) are utilized to support terahertz (THz) communications.
no code implementations • 25 Feb 2020 • Huiling Zhu, Xin Luo, Hankz Hankui Zhuo
Graph representation learning embeds nodes in large graphs as low-dimensional vectors and is of great benefit to many downstream applications.
no code implementations • NAACL 2018 • Mingmin Jin, Xin Luo, Huiling Zhu, Hankz Hankui Zhuo
The proposed model is named LSTM-Topic matrix factorization (LTMF) which integrates both LSTM and Topic Modeling for review understanding.
no code implementations • 16 Dec 2017 • Jun-Bo Wang, Junyuan Wang, Yongpeng Wu, Jin-Yuan Wang, Huiling Zhu, Min Lin, Jiangzhou Wang
Moreover, optimal or near-optimal solutions of historical scenarios can be searched offline and stored in advance.
no code implementations • 24 Feb 2017 • Mengya Wang, Hankui Zhuo, Huiling Zhu
The key idea is to integrate knowledge triples and logic rules, and approximately order the relation types in logic rules to utilize the transitivity and antisymmetry of logic rules.
1 code implementation • 1 Feb 2017 • Yijin Pan, Cunhua Pan, Huiling Zhu, Qasim Zeeshan Ahmed, Ming Chen, Jiangzhou Wang
Furthermore, an alternative group optimization (AGO) algorithm is proposed to solve the general case of the optimization problem.
Networking and Internet Architecture