cv
This is a description of the page.
Basics
Name | Quanwei (Leo) Liu |
Label | PhD student |
quanwei.liu@my.jcu.edu.au | |
Url | https://quanweiliu.github.io/ |
Summary | A optimistic boy |
Volunteer
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Henan, China
Member
Volunteer association of Henan University of Engineering
Going to Zhengzhou University of Technology to play basketball with children with disabilities.
- The children are very happy to chat with us.
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Henan, China
Member
Track and field team of Resources and Environment College of Henan University of Engineering
Chatting with the elderly at the Longhu Home for the Elderly and celebrating their birthdays.
- The elders are very happy to chat with us.
Education
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2023 - 2027 Cairns, Australia
PhD student
James Cook University
College of Science and Engineering
- Engineering and Related Technologies
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2020.09 - 2023.06 Wuhan, China
Master student
China University of Geosciences, Wuhan, China
School of Geophysics and Geomatics
- Resources and Environment
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2016.09 - 2020.06 Henan, China
Bachelor student
Henan University of Engineering
College of Resources and Environment
- Exploration Technology and Engineering
Awards
- 2017.11.30
- 2022.12
Publications
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2023.10.24 Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning
arXiv
Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning.
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2022.01.25 Weighted feature fusion of convolutional neural network and graph attention network for hyperspectral image classification
IEEE
Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification.
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2020.05.30 A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification
IEEE
A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification.
Skills
Remote sensing image processing | |
Machine learning | |
Deep learning | |
Image fusion | |
Classification | |
Segmentation |
Languages
Chinese (Mandarin) | |
Native speaker |
English | |
Fluent |
Interests
Deep learning | |
CNN | |
Transformer |
References
Professor Yanni Dong | |
My Master primary supervisor. |
Professor Tao (Kevin) Huang | |
My PhD primary supervisor. |
Projects
- 2018 - Present
- 2023 - Present
Low-cost Sensing Methods and Hybrid Learning Models
This project aims to revolutionize the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine-learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.
- Australian Research Council Discovery Project