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Xia, Gui-Song is a Hongyi Distinguished Professor at Wuhan University. He currently serves as Acting Vice Dean of the School of Artificial Intelligence and Deputy Director of the National Engineering Research Center for Multimedia Software at Wuhan University. His research interests span computer vision, machine learning, intelligent unmanned systems, and remote sensing.
He has authored over 200 papers in leading journals and conferences, with more than 30,000 citations on Google Scholar. His work has been successfully applied in major national engineering projects as well as commercial applications in leading enterprises.
Professor Xia has received numerous prestigious awards, including the First Prize of the Hubei Provincial Natural Science Award, the First Prize for Scientific and Technological Progress from the China Society of Geodesy, Photogrammetry and Cartography (CSGPC), the IEEE GRSS High Impact Paper Award, and the Outstanding PhD Advisor Award from the China Society of Image and Graphics.
He serves on the editorial boards of two top-tier SCI journals and holds several key professional service roles. These include Vice Chair of the Remote Sensing Image Committee of the China Society of Image and Graphics and Standing Committee Member of the Pattern Recognition and Machine Intelligence Committee of the Chinese Association of Automation.
Education
- 2007.09–2011.03: Ph.D., Computer Vision, Télécom Paris, France
- 2005.09–2007.07: M.Sc., Signal and Information Processing, School of Electronic Information, Wuhan University
- 2001.09–2005.07: B.Sc., Electronic Information Engineering, School of Electronic Information, Wuhan University
Work Experience
- 2024.12-Present: Professor and Acting Vice Dean, School of Artificial Intelligence, Wuhan University
- 2024.01-Present: Tenured Professor, Wuhan Institute of Mathematics and Intelligence
- 2020.12-Present: Vice Director, National Engineering Research Center for Multimedia Software, Wuhan University
- 2023.03-2024.12: Vice Dean, School of Computer Science, Wuhan University
- 2019.11-2024.12: Professor, School of Computer Science, Wuhan University
- 2018.10-2018.12: Visiting Scholar, Department of Applied Mathematics, École Normale Supérieure (ENS-Paris), France
- 2015.11-2019.10: Professor, LIESMARS, Wuhan University
- 2012.11-2015.10: Associate Professor, LIESMARS, Wuhan University
- 2011.04-2012.11: Postdoctoral Researcher, CNRS, Institut de Mathématiques de Jussieu
Academic Positions
- Editorial Board Member, Pattern Recognition
- Area Editor, Signal Processing: Image Communication
- Editorial Board Member, EURASIP Journal on Image and Video Processing
- Editorial Board Member, Journal of Signal Processing, Chinese Journal of Image and Graphics
- Vice Chair, Faculty Committee, School of Computer Science, Wuhan University
- Vice Chair, Remote Sensing Image Committee, China Society of Image and Graphics
- Executive Committee Member, AI Committee, Chinese Association of Automation
- Vice Chair, IEEE Signal Processing Society - Wuhan Chapter
- General Chair, EAI BDTA 2022; Program Chair, CCSP 2017; Area/Session Chair for IEEE ICPR 2018, ICIG 2019, PRCV 2021; Senior Program Committee Member, AAAI 2022
- Member, Youth Committee, China Society of Image and Graphics
- Senior Member, IEEE
Honors and Awards
- First Prize, Natural Science Award of Hubei Province, 2024
- National Science Fund for Distinguished Young Scholars, 2023
- Outstanding Doctoral Dissertation Advisor, China Society of Image and Graphics, 2022
- IEEE GRSS High Impact Paper Award，2022
- CVPR Best Paper Finalist (32/1660)，2021
- Highly Cited Chinese Researcher (Clarivate, Elsevier), 2020, 2021, 2022, 2023, 2024
- Distinguished Contribution Award, Remote Sensing, 2021
- First Prize, Science and Technology Progress Award in Surveying and Mapping, 2021, 2023
- Excellent Young Scientists Fund, National Natural Science Foundation of China, 2019
- Second Prize, Natural Science Award of Hubei Province, 2018
- China-France Outstanding Young Scientist Exchange Program (AI), Ministry of Science and Technology, 2018
- Distinguished Young Scholars Fund, Hubei Provincial Natural Science Foundation, 2017
Research Interests
1. Machine Learning and Computer Vision
Foundational theories and key technologies for deep learning, image understanding, and object detection, covering topics like neuromorphic vision, event-based imaging, and neural network architecture optimization.
2. Multimodal Foundation Models
Unified representation of multimodal pre-trained models in tasks such as perception, understanding, and reasoning, as well as the development of customized intelligent systems for specific domains.
3. Autonomous Swarms and Intelligent Perception Systems
Collaborative operations of multi-agent unmanned systems, researching core technologies in intelligent perception, decision-making, and control to support efficient and autonomous operation of embodied intelligence in complex environments.
4. Spatiotemporal Intelligence and Remote Sensing Image Interpretation
Spatiotemporal modeling, semantic interpretation, and information mining of remote sensing images, advancing theories and applied technologies for geospatial cognition through spatiotemporal intelligence.
Selected Publications
- Unsupervised Pretraining for Object Detection by Patch Reidentification, [arXiv]. with J. Ding et. al.
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No.3, pp.1348-1361, 2024. - Learning to Extract Building Footprints from Off-Nadir Aerial Images, [PDF]. with J. Wang et. al.
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, No.1, pp.1294-1301, 2023. - Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges, [arXiv, Dataset, Code, Model]. with J. Ding et. al.
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No.11, pp.7778-7796, 2022. - Unmixing Convolutional Features for Crisp Edge Detection, [arXiv, Codes]. with L. Huan et. al.
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No.10, pp.6602-6609, 2022. - Learning Regional Attraction for Line Segment Detection, [PDF, Page]. with N. Xue et. al.
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 43, No.6, pp.1998-2013, 2021. - Gliding vertex on HBB for multi-oriented object detection, [arXiv, codes]. with Y. Xu et. al.
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol.43, No.4, pp.1452-1459, 2021. - A Functional Representation for Graph Matching, [Project Page]. with F.-D. Wang et. al.
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol.42, No.11, pp.2737-2754, 2020. - Land-Cover Classification with HR-RS Images using Transferable Deep Models [arXiv, Page]. with X.-Y. Tong et. al.
Remote Sensing of Environment (RSE), 2020. - Holistically-Attracted Wireframe Parsing [arXiv]. with N. Xue et. al.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. - Learning RoI Transformer for Detecting Oriented Objects in Aerial Images [PDF], with J. Ding et. al.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2019. - DOTA: A Large-scale dataset for object detection in aerial images [PDF, Project Page, Codes]. with X. Bai et. al.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. - Anisotropic-scale junction detection and matching for indoor images. [PDF], with N. Xue et. al.
IEEE Trans. on Image Processing (TIP), Vol.27, No.1, pp.78-91, 2018. - Texture characterization using shape co-occurrence patterns. [PDF], with G. Liu et. al.
IEEE Trans. on Image Processing (TIP), Vol.26, No. 10, pp.5005 - 5018, 2017. - AID: A benchmark dataset for performance evaluation of aerial scene classification. [PDF, project-page], with J. Hu et. al.
IEEE Trans. on Geoscience and Remote Sensing (TGRS), Vol. 55, No.7, pp.3965 - 3981, 2017.