no code implementations • 31 Jul 2023 • Siyu Tong, Xiaoxue Yu, Rongpeng Li, Kun Lu, Zhifeng Zhao, Honggang Zhang
Semantic communication (SemCom) demonstrates strong superiority over conventional bit-level accurate transmission, by only attempting to recover the essential semantic information of data.
no code implementations • 6 May 2023 • Xiaoxuan Zhang, Zengfu Wang, Kun Lu, Quan Pan, Yang Li
The semi-supervised classification performance of WL-SSGAN is evaluated on a sea-land clutter dataset.
no code implementations • 3 Jan 2023 • Xiaoxuan Zhang, Zengfu Wang, Kun Lu, Quan Pan
Using a dataset of OTHR sea-land clutter, both the quality of the synthetic samples and the performance of data augmentation of AC-VAEGAN are verified.
no code implementations • 16 Dec 2022 • Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, Honggang Zhang
Along with the springing up of the semantics-empowered communication (SemCom) research, it is now witnessing an unprecedentedly growing interest towards a wide range of aspects (e. g., theories, applications, metrics and implementations) in both academia and industry.
1 code implementation • 23 Jul 2022 • Kun Lu, Rongpeng Li, Honggang Zhang
Continuous one-to-many mapping is a less investigated yet important task in both low-level visions and neural image translation.
no code implementations • 16 Oct 2021 • Kun Lu, Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jianjun Wu, Honggang Zhang
Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message.
no code implementations • 13 Sep 2021 • Qiwei Bi, Haoyuan Li, Kun Lu, Hanfang Yang
Previous abstractive methods apply sequence-to-sequence structures to generate summary without a module to assist the system to detect vital mentions and relationships within a document.
1 code implementation • 27 Aug 2021 • Kun Lu, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Honggang Zhang
We introduce a new semantic communication mechanism - SemanticRL, whose key idea is to preserve the semantic information instead of strictly securing the bit-level precision.
no code implementations • 5 May 2020 • Zhen Guo, Zengfu Wang, Hua Lan, Quan Pan, Kun Lu
Therefore, to improve the localization accuracy of OTHR, it is important to develop accurate models and estimation methods of ionospheric parameters and the corresponding target tracking algorithms.
no code implementations • 12 Sep 2018 • Yuanzhe Yao, Zeheng Wang, Liang Li, Kun Lu, Runyu Liu, Zhiyuan Liu, Jing Yan
In this work, an ontology-based model for AI-assisted medicine side-effect (SE) prediction is developed, where three main components, including the drug model, the treatment model, and the AI-assisted prediction model, of proposed model are presented.