1.6k citations · 3.2k across the 55 of their papers we have counts for
56 papers
Semantic-Aware Image Compressed Sensing
Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Deep learning based image compressed sensing (CS) has achieved great success. However, existing CS systems mainly adopt a fixed measurement matrix to images, ignoring the fact the…
Meta Federated Reinforcement Learning for Distributed Resource Allocation
Zelin Ji, Zhijin Qin, Xiaoming Tao
In cellular networks, resource allocation is usually performed in a centralized way, which brings huge computation complexity to the base station (BS) and high transmission overhea…
QoE-based Semantic-Aware Resource Allocation for Multi-Task Networks
Lei Yan, Zhijin Qin, Chunfeng Li +3
By transmitting task-related information only, semantic communications yield significant performance gains over conventional communications. However, the lack of mature semantic th…
Semantic Communication with Memory
Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
While semantic communication succeeds in efficiently transmitting due to the strong capability to extract the essential semantic information, it is still far from the intelligent o…
Semantic Communications with Variable-Length Coding for Extended Reality
Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Wireless extended reality (XR) has attracted wide attentions as a promising technology to improve users' mobility and quality of experience. However, the ultra-high data rate requi…
Resource Optimization for Semantic-Aware Networks with Task Offloading
Zelin Ji, Zhijin Qin, Xiaoming Tao +1
The limited capabilities of user equipment restrict the local implementation of computation-intensive applications. Edge computing, especially the edge intelligence system, enables…
A Generalized Semantic Communication System: from Sources to Channels
Zhijin Qin, Feifei Gao, Bo Lin +3
Semantic communication is regarded as the breakthrough beyond the Shannon paradigm, which transmits only semantic information to significantly improve communication efficiency. Thi…
Semantic Sensing and Communications for Ultimate Extended Reality
Bowen Zhang, Zhijin Qin, Yiyu Guo +1
As a key technology in metaversa, wireless ultimate extended reality (XR) has attracted extensive attentions from both industry and academia. However, the stringent latency and ult…
Vector Quantized Semantic Communication System
Qifan Fu, Huiqiang Xie, Zhijin Qin +2
Although analog semantic communication systems have received considerable attention in the literature, there is less work on digital semantic communication systems. In this paper,…
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…
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz, Zhijin Qin, Inaki Estella Aguerri +5
Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic to the meanings of th…
A Robust Deep Learning Enabled Semantic Communication System for Text
Xiang Peng, Zhijin Qin, Danlan Huang +4
With the advent of the 6G era, the concept of semantic communication has attracted increasing attention. Compared with conventional communication systems, semantic communication sy…
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…
QoE-Aware Resource Allocation for Semantic Communication Networks
Lei Yan, Zhijin Qin, Rui Zhang +2
With the aim of accomplishing intelligence tasks, semantic communications transmit task-related information only, yielding significant performance gains over conventional communica…
Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis
Zhenzi Weng, Zhijin Qin, Xiaoming Tao +3
In this paper, we develop a deep learning based semantic communication system for speech transmission, named DeepSC-ST. We take the speech recognition and speech synthesis as the t…
Federated Learning for Distributed Energy-Efficient Resource Allocation
Zelin Ji, Zhijin Qin
In cellular networks, resource allocation is performed in a centralized way, which brings huge computation complexity to the base station (BS) and high transmission overhead. This…
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…
Resource allocation for text semantic communications
Lei Yan, Zhijin Qin, Rui Zhang +2
Semantic communications have shown its great potential to improve the transmission reliability, especially in the low signal-to-noise regime. However, resource allocation for seman…
Semantic Communications: Principles and Challenges
Zhijin Qin, Xiaoming Tao, Jianhua Lu +2
Semantic communication, regarded as the breakthrough beyond the Shannon paradigm, aims at the successful transmission of semantic information conveyed by the source rather than the…
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems
Xu Kang, Bin Song, Jie Guo +2
The vigorous developments of Internet of Things make it possible to extend its computing and storage capabilities to computing tasks in the aerial system with collaboration of clou…
Task-Oriented Multi-User Semantic Communications
Huiqiang Xie, Zhijin Qin, Xiaoming Tao +1
While semantic communications have shown the potential in the case of single-modal single-users, its applications to the multi-user scenario remain limited. In this paper, we inves…
Task-Oriented Multi-User Semantic Communications for VQA Task
Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
Semantic communications focus on the transmission of semantic features. In this letter, we consider a task-oriented multi-user semantic communication system for multimodal data tra…
Semantic Communications for Speech Recognition
Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li
The traditional communications transmit all the source data represented by bits, regardless of the content of source and the semantic information required by the receiver. However,…