Scholar
Hongruixuan Chen
Google Scholar ID: XOk4Cf0AAAAJ
The University of Tokyo, RIKEN
Citations & Impact
Citations
1,866
H-index
18
i10-index
25
Publications
20
Co-authors
44
list available
Publications
Resume (English only)
Research Experience
- [{'Position': 'Research Part-time Worker', 'Institution': 'Geoinformatics Team, RIKEN AIP', 'Time': '2024.10-2025.09', 'Host': 'Prof. Naoto Yokoya'}, {'Position': 'Academic Visitor', 'Institution': 'Photogrammetry and Remote Sensing Group, ETH Zurich', 'Time': '2024.01-2024.07', 'Host': 'Prof. Konrad Schindler'}, {'Position': 'Research Part-time Worker', 'Institution': 'Geoinformatics Team, RIKEN AIP', 'Time': '2023.05-2024.01', 'Host': 'Prof. Naoto Yokoya'}, {'Position': 'Research Assistant', 'Institution': 'Beyond AI, The University of Tokyo', 'Time': '2022.11-2023.03'}, {'Position': 'Trainee', 'Institution': 'The United Nations Satellite Centre, The United Nations Institute for Training and Research', 'Time': '2021.05-2022.05'}]
Background
- Currently a Ph.D. student at the Machine Learning and Statistical Data Analysis Lab, The University of Tokyo, advised by Prof. Naoto Yokoya. He was also an academic visitor at the Photogrammetry and Remote Sensing Group, ETH Zurich, and an intern at The United Nations Satellite Center (UNOSAT). His research is motivated by how to better monitor, describe, and understand changes in our planet's surface using machine learning and computer vision approaches, thereby contributing to urban planning, resource management, environmental protection, and sustainable development.
Miscellany
- Appointed as Co-Lead of Working Group on Machine/Deep Learning for Image Analysis (WG-MIA) of IEEE GRSS; involved in multiple international conferences and published several papers; received honors for ESI Highly Cited Papers.
