29 citations · 83 across the 25 of their papers we have counts for
25 papers
ROME: Robust Model Ensembling for Semantic Communication Against Semantic Jamming Attacks
Kequan Zhou, Guangyi Zhang, Yunlong Cai +2
Recently, semantic communication (SC) has garnered increasing attention for its efficiency, yet it remains vulnerable to semantic jamming attacks. These attacks entail introducing…
Towards Compatible Semantic Communication: A Perspective on Digital Coding and Modulation
Guangyi Zhang, Kequan Zhou, Yunlong Cai +2
Semantic communication (SC) is emerging as a pivotal innovation within the 6G framework, aimed at enabling more intelligent transmission. This development has led to numerous studi…
Learned Image Transmission with Hierarchical Variational Autoencoder
Guangyi Zhang, Hanlei Li, Yunlong Cai +3
In this paper, we introduce an innovative hierarchical joint source-channel coding (HJSCC) framework for image transmission, utilizing a hierarchical variational autoencoder (VAE).…
From Analog to Digital: Multi-Order Digital Joint Coding-Modulation for Semantic Communication
Guangyi Zhang, Pujing Yang, Yunlong Cai +2
Recent studies in joint source-channel coding (JSCC) have fostered a fresh paradigm in end-to-end semantic communication. Despite notable performance achievements, present initiati…
Feature Allocation for Semantic Communication with Space-Time Importance Awareness
Kequan Zhou, Guangyi Zhang, Yunlong Cai +3
In the realm of semantic communication, the significance of encoded features can vary, while wireless channels are known to exhibit fluctuations across multiple subchannels in diff…
Alleviating Distortion Accumulation in Multi-Hop Semantic Communication
Guangyi Zhang, Qiyu Hu, Yunlong Cai +1
Recently, semantic communication has been investigated to boost the performance of end-to-end image transmission systems. However, existing semantic approaches are generally based…
SCAN: Semantic Communication with Adaptive Channel Feedback
Guangyi Zhang, Qiyu Hu, Yunlong Cai +1
In existing semantic communication systems for image transmission, some images are generally reconstructed with considerably low quality. As a result, the reliable transmission of…
One-shot Learning for Channel Estimation in Massive MIMO Systems
Kai Kang, Qiyu Hu, Yunlong Cai +1
In conventional supervised deep learning based channel estimation algorithms, a large number of training samples are required for offline training. However, in practical communicat…
Deep-Unfolding for Next-Generation Transceivers
Qiyu Hu, Yunlong Cai, Guangyi Zhang +2
The stringent performance requirements of future wireless networks, such as ultra-high data rates, extremely high reliability and low latency, are spurring worldwide studies on def…
FAST: Feature Arrangement for Semantic Transmission
Kequan Zhou, Guangyi Zhang, Yunlong Cai +2
Although existing semantic communication systems have achieved great success, they have not considered that the channel is time-varying wherein deep fading occurs occasionally. Mor…
Adaptive CSI Feedback for Deep Learning-Enabled Image Transmission
Guangyi Zhang, Qiyu Hu, Yunlong Cai +1
Recently, deep learning-enabled joint-source channel coding (JSCC) has received increasing attention due to its great success in image transmission. However, most existing JSCC stu…
A Unified Multi-Task Semantic Communication System for Multimodal Data
Guangyi Zhang, Qiyu Hu, Zhijin Qin +3
Task-oriented semantic communications have achieved significant performance gains. However, the employed deep neural networks in semantic communications have to be updated when the…
Multiband Delay Estimation for Localization Using a Two-Stage Global Estimation Scheme
Yubo Wan, An Liu, Qiyu Hu +2
The time of arrival (TOA)-based localization techniques, which need to estimate the delay of the line-of-sight (LoS) path, have been widely employed in location-aware networks. To…
Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming
Kai Kang, Qiyu Hu, Yunlong Cai +3
In massive multiple-input multiple-output (MIMO) systems, hybrid analog-digital beamforming is an essential technique for exploiting the potential array gain without using a dedica…
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
Qiyu Hu, Guangyi Zhang, Zhijin Qin +3
Although semantic communications have exhibited satisfactory performance for a large number of tasks, the impact of semantic noise and the robustness of the systems have not been w…
A Unified Multi-Task Semantic Communication System with Domain Adaptation
Guangyi Zhang, Qiyu Hu, Zhijin Qin +2
The task-oriented semantic communication systems have achieved significant performance gain, however, the paradigm that employs a model for a specific task might be limited, since…
Robust Semantic Communications Against Semantic Noise
Qiyu Hu, Guangyi Zhang, Zhijin Qin +3
Although the semantic communications have exhibited satisfactory performance in a large number of tasks, the impact of semantic noise and the robustness of the systems have not bee…
DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning
Qiyu Hu, Shuhan Shi, Yunlong Cai +1
Deep-unfolding neural networks (NNs) have received great attention since they achieve satisfactory performance with relatively low complexity. Typically, these deep-unfolding NNs a…
Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems
Yanzhen Liu, Qiyu Hu, Yunlong Cai +2
In this paper, we investigate an intelligent reflecting surface (IRS) assisted multi-user multiple-input multiple-output (MIMO) full-duplex (FD) system. We jointly optimize the act…
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding
Qiyu Hu, Yunlong Cai, Kai Kang +3
In this paper, we propose an end-to-end deep learning-based joint transceiver design algorithm for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, w…
Deep-Unfolding Neural-Network Aided Hybrid Beamforming Based on Symbol-Error Probability Minimization
S. Shi, Y. Cai, Q. Hu +2
In massive multiple-input multiple-output (MIMO) systems, hybrid analog-digital (AD) beamforming can be used to attain a high directional gain without requiring a dedicated radio f…
Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach
Carlos Carrion, Zenan Wang, Harikesh Nair +8
In e-commerce platforms, sponsored and non-sponsored content are jointly displayed to users and both may interactively influence their engagement behavior. The former content helps…
Latency Minimization in Intelligent Reflecting Surface Assisted D2D Offloading Systems
Yanzhen Liu, Qiyu Hu, Yunlong Cai +1
In this letter, we investigate an intelligent reflecting surface (IRS) aided device-to-device (D2D) offloading system, where an IRS is employed to assist in computation offloading…
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays
Qiyu Hu, Yanzhen Liu, Yunlong Cai +2
The millimeter wave (mmWave) multiuser multiple-input multiple-output (MU-MIMO) systems with discrete lens arrays (DLA) have received great attention due to their simple hardware i…