Chuang Liu
Ph.D. Student · State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
Research Focus: AI + Remote Sensing agents, multimodal Earth-observation intelligence, spatial-spectral representation learning, image fusion/restoration, and change detection.
laxiojustmoveon@gmail.com / chuang.liu@whu.edu.cn · GitHub · Google Scholar · ORCID
Research Profile
My research focuses on AI + Remote Sensing agents and multimodal visual intelligence for Earth observation. I am interested in building agentic AI systems that combine multimodal perception, vision-language reasoning, domain knowledge, tool/data interaction, and remote-sensing image processing for geospatial understanding and decision support.
Research Interests
- AI4RS Agents
- Remote Sensing VLM
- Tool-augmented Intelligence
- Spatial-Spectral Learning
- Image Fusion
- Image Restoration
- Change Detection
- Mixture-of-Experts
Research Experience
AI + Remote Sensing Agents and Multimodal Earth-observation Intelligence. Building agentic AI systems that combine multimodal perception, vision-language reasoning, domain knowledge, and tool/data interaction for remote-sensing interpretation and geospatial decision support.
Computer Vision for Multimodal Earth-Observation Image Fusion. Developed neural frameworks for optical multimodal image fusion, including pan-sharpening, multispectral/hyperspectral image fusion, and Earth-observation data-gap recovery.
Multi-temporal Visual Change Detection and Dense Prediction. Designed spatial-temporal difference aggregation models for Gaofen-2 multitemporal cropland image change detection and pixel-level prediction.
Efficient Vision Systems for Satellite Platforms. Worked on cloud-edge-device collaborative intelligent service architecture, efficient visual perception, real-time inference, and robust processing for high-resolution satellite image streams.
Education
2025.09-2029.06. Ph.D. in Surveying and Mapping Engineering, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University.
2022.09-2025.06. M.Eng. in Computer Technology, School of Computer Science, Hubei University of Technology.
2018.09-2022.06. B.Eng. in Computer Science and Technology, China University of Geosciences, Jiangcheng College.
Selected Publications
- C. Liu, J. Guo, Y. Pi, X. Wu, Z. Zhang, R. Chen, X. Wang, and M. Wang*, "Prior-guided Multi-domain Mixture-of-Experts for Multimodal Earth Observation Data Gaps," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 239, pp. 876-892, 2026.
- C. Liu, Z. Zhang, Z. Ye, X. Wu, M. Wang*, and J. Guo*, "Interpretable Pan-sharpening via Explicit Spatial-Spectral Closed-loop Priors," Pattern Recognition, vol. 180, article 114301, 2026.
- C. Liu, Z. Zhang*, and M. Wang, “RAMSF: A Novel Generic Framework for Optical Remote Sensing Multimodal Spatial-Spectral Fusion,” IEEE Transactions on Geoscience and Remote Sensing, 2025.
- C. Liu, Z. Zhang*, M. Wang, S. Xiang, and G. Xie, “A Novel Cross Fusion Model with Fine-grained Detail Reconstruction for Remote Sensing Image Pan-sharpening,” Geo-spatial Information Science, vol. 28, no. 4, pp. 1520-1548, 2025.
- C. Liu, L. Bao, and Z. Zhang*, “A Spatial-Temporal Difference Aggregation Network for Gaofen-2 Multitemporal Image Change Detection in Cropland Area,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 3160-3172, 2025.
- Z. Zhang, C. Liu, L. Wei, and S. Xiang*, “MMAPP: Multi-branch and Multi-scale Adaptive Progressive Pyramid Network for Multispectral Image Pansharpening,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 20129-20149, 2024.
- C. Liu, L. Wei, Z. Zhang*, X. Feng, and S. Xiang, “Recursive Self-Attention Modules-Based Network for Panchromatic and Multispectral Image Fusion,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 10067-10083, 2023.
News
- 2026-06. One work related to prior-guided multi-domain mixture-of-experts was accepted by ISPRS Journal of Photogrammetry and Remote Sensing.
- 2026-06. One work related to explicit spatial-spectral closed-loop priors was accepted by Pattern Recognition.
- 2026-05. One work related to joint representation learning and mixture-of-experts was accepted by IEEE GRSL.
- 2026-04. One work related to role-specialized LLM agents for medical decision-making was accepted by ICLR 2026.
- 2026-01. One work related to exemplar retrieval and in-context learning for multi-step reasoning was accepted by ICASSP 2026.
- 2025-05. “Most Beautiful College Student” Honor; one of five graduate students selected university-wide.
Honors and Awards
- 2025: “Most Beautiful College Student” Honor; one of five graduate students selected university-wide.
- 2024: “Top Ten Academic Stars”; one of ten students selected university-wide.
- 2024: National Scholarship; ranked 1st overall.
- 2023-2025: Outstanding Graduate Student, Outstanding Graduate Student Leader, and Outstanding Graduate.
Patents
- L. Wei, C. Liu, and Z. Zhang, “A Comprehensive Tuning Method and System for Mobile Phone Photography Effects,” Chinese Invention Patent: CN202311068116.4, 2023.
- Z. Zhang, C. Liu, Z. Ye, et al., “A Multi-Branch Multi-Scale Laplacian Progressive Remote Sensing Image Fusion Method and System,” Chinese Invention Patent: CN202310953087.3, 2023.
Advisor & Team
Supervisor: Prof. Mi Wang · RSONE Remote Sensing Image Precision Processing and Intelligent Service Team.
I am a Ph.D. student at LIESMARS, Wuhan University. The team focuses on precise remote-sensing image processing, quality improvement, high-precision geometric positioning and mapping, onboard processing, and real-time intelligent services for remote-sensing satellite constellations.