Transformer-based Joint Source Channel Coding for Textual Semantic Communication-Reference-Cited by-同舟云学术

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Transformer-based Joint Source Channel Coding for Textual Semantic Communication

Published:2023-08-10 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CIC International Conference on Communications in China (ICCC)
language:
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Author:

Liu Shicong¹,Gao Zhen¹,Chen Gaojie²,Su Yu³,Peng Lu³

Affiliation:

1. Beiing Institute of Technology,MIIT Key Laboratory of Complex-Field Intelligent Sensing,Beijing,China,100081

2. Institute for Communication Systems, University of Surrey,Guildford,United Kingdom

3. China Mobile (Chengdu) Institute of Research and Development,Chengdu,Sichuan,610000

Funder

Beijing Nova Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233424.pdf?arnumber=10233424

Reference15 articles.

1. Microsoft COCO: Common Objects in Context

2. Multi30K: Multilingual English-German Image Descriptions

3. Exploring the limits of transfer learning with a unified Text-to-Text Transformer;raffel;Journal of Machine Learning Research,2020

4. Open question answering over curated and extracted knowledge bases

5. Neural discrete representation learning;van den oord;Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS),2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative AI for Physical Layer Communications: A Survey;IEEE Transactions on Cognitive Communications and Networking;2024-06

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