resume.json

{
  "basics": {
    "name": "Quanwei (Leo) Liu",
    "label": "PhD student",
    "image": "",
    "email": "quanwei.liu@my.jcu.edu.au",
    "phone": "",
    "url": "https://quanweiliu.github.io/",
    "summary": "A optimistic boy",
    "location": {
      "address": "James Cook University, Smithfield, QLD",
      "postalCode": "4870",
      "city": "Cairns",
      "countryCode": "Australia",
      "region": "Queensland"
    },
    "profiles": [
      {
        "network": "Twitter",
        "username": "AlbertEinstein",
        "url": "https://twitter.com/AlbertEinstein"
      }
    ]
  },
  "volunteer": [
    {
      "organization": "Track and field team of Resources and Environment College of Henan University of Engineering",
      "location": "Henan, China",
      "position": "Member",
      "date": "2017.03",
      "summary": "Chatting with the elderly at the Longhu Home for the Elderly and celebrating their birthdays.",
      "highlights": ["The elders are very happy to chat with us."]
    },
    {
      "organization": "Volunteer association of Henan University of Engineering",
      "location": "Henan, China",
      "position": "Member",
      "date": "2018.08",
      "summary": "Going to Zhengzhou University of Technology to play basketball with children with disabilities.",
      "highlights": ["The children are very happy to chat with us."]
    }
  ],
  "education": [
    {
      "institution": "Henan University of Engineering",
      "location": "Henan, China",
      "url": "https://www.haue.edu.cn/",
      "area": "College of Resources and Environment",
      "studyType": "Bachelor student",
      "startDate": "2016-09",
      "endDate": "2020-06",
      "score": "3.4/4.0",
      "courses": ["Exploration Technology and Engineering"]
    },
    {
      "institution": "China University of Geosciences, Wuhan, China",
      "location": "Wuhan, China",
      "url": "https://www.cug.edu.cn/",
      "area": "School of Geophysics and Geomatics",
      "studyType": "Master student",
      "startDate": "2020-09",
      "endDate": "2023-06",
      "score": "3.7/4.0",
      "courses": ["Resources and Environment"]
    },
    {
      "institution": "James Cook University",
      "location": "Cairns, Australia",
      "url": "https://www.jcu.edu.au/",
      "area": "College of Science and Engineering",
      "studyType": "PhD student",
      "startDate": "2023",
      "endDate": "2027",
      "score": "",
      "courses": ["Engineering and Related Technologies"]
    }
  ],
  "awards": [
    {
      "title": "National Encouragement Scholarship (China)",
      "date": "2017-11-30",
      "awarder": "The Education Department of Henan Province",
      "url": "",
      "summary": "2016-2017.'"
    },
    {
      "title": "National Scholarship (China)",
      "date": "2022-12",
      "awarder": "Ministry of Education of the People's Republic of China",
      "url": "",
      "summary": "2021-2022.'"
    }
  ],
  "certificates": [
    {
      "name": "",
      "date": "",
      "issuer": "",
      "url": "",
      "icon": "fa-solid fa-location-dot"
    }
  ],
  "publications": [
    {
      "name": "Weighted feature fusion of convolutional neural network and graph attention network for hyperspectral image classification",
      "publisher": "IEEE",
      "releaseDate": "2022-01-25",
      "url": "https://ieeexplore-ieee-org.elibrary.jcu.edu.au/abstract/document/9693311/",
      "summary": "Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification."
    },
    {
      "name": "A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification",
      "publisher": "IEEE",
      "releaseDate": "2020-05-30",
      "url": "https://ieeexplore-ieee-org.elibrary.jcu.edu.au/abstract/document/9785802/",
      "summary": "A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification."
    },
    {
      "name": "Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning",
      "publisher": "arXiv ",
      "releaseDate": "2023-10-24",
      "url": "https://arxiv.org/abs/2310.15767",
      "summary": "Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning."
    }
  ],
  "skills": [
    {
      "name": "Remote sensing image processing",
      "level": "Master",
      "icon": "fa-solid fa-hashtag",
      "keywords": [
        "Machine learning",
        "Deep learning",
        "Image fusion",
        "Classification",
        "Segmentation"
      ]
    }
  ],
  "languages": [
    {
      "language": "Chinese (Mandarin)",
      "fluency": "Native speaker",
      "icon": ""
    },
    {
      "language": "English",
      "fluency": "Fluent",
      "icon": ""
    }
  ],
  "interests": [
    {
      "name": "Deep learning",
      "icon": "fa-solid fa-tag",
      "keywords": [
        "CNN",
        "Transformer"
      ]
    }
  ],
  "references": [
    {
      "name": "Professor Yanni Dong",
      "url": "https://rsit.top/",
      "icon": "fa-solid fa-thumbtack",
      "reference": "My Master primary supervisor."
    },
    {
      "name": "Professor Tao (Kevin) Huang",
      "url": "https://www.taoicclab.com/",
      "icon": "fa-solid fa-laptop",
      "reference": "My PhD primary supervisor."
    }
  ],
  "projects": [
    {
      "name": "Research on Deep Migration Measure Learning Method for Hyperspectral Remote Sensing Image Classification",
      "summary": "",
      "highlights": ["国家自然科学基金面上项目"],
      "startDate": "2018",
      "endDate": "-",
      "url": "https://rsit.top/jijin.html"
    },
    {
      "name": "Low-cost Sensing Methods and Hybrid Learning Models",
      "summary": "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.",
      "highlights": ["Australian Research Council Discovery Project"],
      "startDate": "2023",
      "endDate": "-",
      "url": "https://www.arc.gov.au/funding-research/discovery-linkage/discovery-program/discovery-projects"
    }
  ]
}