Search Results for author: Kun Lu

Found 6 papers, 1 papers with code

Rethinking Modern Communication from Semantic Coding to Semantic Communication

no code implementations16 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 required to transmit a message.

Augmented Abstractive Summarization With Document-LevelSemantic Graph

no code implementations13 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.

Abstractive Text Summarization

Reinforcement Learning-powered Semantic Communication via Semantic Similarity

1 code implementation27 Aug 2021 Kun Lu, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Honggang Zhang

We introduce a new semantic communication mechanism, whose key idea is to preserve the semantic information instead of strictly securing the bit-level precision.

Semantic Similarity Semantic Textual Similarity

OTHR multitarget tracking with a GMRF model of ionospheric parameters

no code implementations5 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.

An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as An Example

no code implementations12 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.

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