Zide Fan
Orcid: 0000-0002-2696-8234
According to our database1,
Zide Fan authored at least 19 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models.
CoRR, April, 2026
CoRR, March, 2026
FAST: Flexible and Adaptive Semantic Transmission for Resource-Constrained Multi-User Generative Semantic Communication.
IEEE Trans. Netw. Sci. Eng., 2026
2025
CoRR, May, 2025
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception.
IEEE Trans. Geosci. Remote. Sens., 2025
Fleet formation identification and analyzing method based on disposition feature for remote sensing.
Complex Intell. Syst., 2025
Tailored meta-learning for dual trajectory transformer: advancing generalized trajectory prediction.
Complex Intell. Syst., 2025
2024
Neurocomputing, March, 2024
Enhancing Semi-Supervised Semantic Segmentation of Remote Sensing Images via Feature Perturbation-Based Consistency Regularization Methods.
Sensors, February, 2024
Double Augmentation: A Modal Transforming Method for Ship Detection in Remote Sensing Imagery.
Remote. Sens., February, 2024
Confidence-Weighted Dual-Teacher Networks With Biased Contrastive Learning for Semi-Supervised Semantic Segmentation in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Photogrammetry for Unconstrained Optical Satellite Imagery With Combined Neural Radiance Fields.
IEEE Geosci. Remote. Sens. Lett., 2024
C<sup>2</sup>INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention.
CoRR, 2024
CoRR, 2024
2022
CoRR, 2022
2019
Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization.
Int. J. Geogr. Inf. Sci., 2019
2018
Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China.
Comput. Environ. Urban Syst., 2018
2016
A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets.
ISPRS Int. J. Geo Inf., 2016