7 papers
Gen2-VC: Unlocking Generative Priors for Video Compression
Yinhuan Huang, Jingkai Ying, Pu Chen +1
Under stringent bitrate constraints, existing video codecs struggle to balance source fidelity and perceptual realism. Distortion-oriented codecs often oversmooth details, while ge…
Token Communication for Multimodal Large Language Model
Jingkai Ying, Zhijin Qin, Yuan Shen +1
With the broad success of the Transformer architecture, token is becoming a new basic information processing unit. This trend is especially evident in multimodal large language mod…
Distribution-Aware Constellation Learning for Image Transmission
Xufeng Zhang, Yinhuan Huang, Jingkai Ying +2
Semantic communication has demonstrated significant potential for image transmission, especially in bandwidth-limited and low signal-to-noise ratio scenarios. However, most existin…
Joint Semantic-Channel Coding and Modulation for Token Communications
Jingkai Ying, Zhijin Qin, Yulong Feng +2
In recent years, the Transformer architecture has achieved outstanding performance across a wide range of tasks and modalities. Token is the unified input and output representation…
Semantic Communication Enabled Holographic Video Processing and Transmission
Jingkai Ying, Zhiyuan Qi, Yulong Feng +4
Holographic video communication is considered a paradigm shift in visual communications, becoming increasingly popular for its ability to offer immersive experiences. This article…
Synchronous Multi-modal Semantic Communication System with Packet-level Coding
Yun Tian, Jingkai Ying, Zhijin Qin +2
Although the semantic communication with joint semantic-channel coding design has shown promising performance in transmitting data of different modalities over physical layer chann…
Computing Networks Enabled Semantic Communications
Zhijin Qin, Jingkai Ying, Dingxi Yang +2
Semantic communication has shown great potential in boosting the effectiveness and reliability of communications. However, its systems to date are mostly enabled by deep learning,…