Yirong Chen

Yirong Chen
South China University of Technology | SCUT · Department of Information and Communication Engineering

Bachelor of Engineering

About

8
Publications
1,651
Reads
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102
Citations
Introduction
Yirong Chen currently works at the Department of Information and Communication Engineering, South China University of Technology. He is currently a Ph.D. student. His research interest mainly lies in Natural Language Processing(NLP), Computer Vision(CV), Deep Learning(DL), image processing and Dialogue system.
Additional affiliations
January 2019 - July 2024
South China University of Technology
Position
  • PhD Student
Education
September 2015 - June 2019
South China University of Technology
Field of study
  • Electronic Science and Technology

Publications

Publications (8)
Preprint
p>Human language expression is based on the subjective construal of the situation instead of the objective truth conditions, which means that speakers' personalities and emotions after cognitive processing have an important influence on conversation. However, most existing datasets for conversational AI ignore human personalities and emotions, or o...
Preprint
p>Human language expression is based on the subjective construal of the situation instead of the objective truth conditions, which means that speakers' personalities and emotions after cognitive processing have an important influence on conversation. However, most existing datasets for conversational AI ignore human personalities and emotions, or o...
Preprint
Full-text available
Human language expression is based on the subjective construal of the situation instead of the objective truth conditions, which means that speakers' personalities and emotions after cognitive processing have an important influence on conversation. However, most existing datasets for conversational AI ignore human personalities and emotions, or onl...
Article
Full-text available
Photodiode-based (PD-based) visible light positioning (VLP) has become a research focus of indoor positioning technology, while the existing VLP models rarely consider the anti-interference and positioning time of that. In this paper, indoor real-time three-dimensional visible light positioning system using fingerprinting and extreme learning machi...
Article
Full-text available
Recently, visible light communication (VLC) has been widely used in indoor positioning. Considering that conventional VLC-based positioning (VLP) algorithms are susceptible to interference and cannot adapt well to the complex indoor location environment, we propose a high-precision indoor three-dimensional positioning algorithm based on VLC and fin...
Article
Full-text available
With the development of visible light communication, indoor visible light positioning (VLP) becomes popular for researchers in the communication industry. However, most existing VLP algorithms only provide solutions for positioning on a two-dimensional plane, and those focusing on three-dimensional (3-D) positioning usually contain various sensors...
Article
Full-text available
Recently, VLC has gradually become a research hotspot in indoor environments. But unfortunately, in the matter of algorithm complexity and positioning accuracy, most existing VLC-based systems fail to deliver satisfactory performance. Moreover, the majority of visible light positioning algorithm in them are based on 2-D plane. In addition, some of...

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