Lixian Zhang

Orcid: 0000-0002-5285-1945

Affiliations:

National Supercomputing Center in Shenzhen, High Performance Computing Department, Shenzhen, China
Tsinghua University, Department of Earth System Science, Beijing, China (PhD 2024)

According to our database¹, Lixian Zhang authored at least 26 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

TianQuan-Climate: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State.

[BibT_eX]

[DOI]

CoRR, April, 2025

2024

Relational Part-Aware Learning for Complex Composite Object Detection in High-Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., October, 2024

A<sup>2</sup>-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder.

[BibT_eX]

[DOI]

CoRR, 2024

SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2024

FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Spatial-Temporal Context Model for Remote Sensing Imagery Compression.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unveiling Annual Dynamics in Large-Scale Road Networks Through a Connectivity-Aware Approach Utilizing Sentinel-2 Multi-Spectral Imagery.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Receptive Convolution Boosts Large-Scale Multi-Class Change Detection.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Building Bridges Across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Can we use deep learning models to identify the functionality of plastics from space?

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, September, 2023

MUREN: MUltistage Recursive Enhanced Network for Coal-Fired Power Plant Detection.

[BibT_eX]

[DOI]

Remote. Sens., April, 2023

An adaptive image fusion method for Sentinel-2 images and high-resolution images with long-time intervals.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2023

SW-LCM: A Scalable and Weakly-supervised Land Cover Mapping Method on a New Sunway Supercomputer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Function Assignment of Plastics based on Hyperspectral Satellite Images and High-Resolution Data Using Deep Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Two-Stage Adaptation Network (TSAN) for Remote Sensing Scene Classification in Single-Source-Mixed-Multiple-Target Domain Adaptation (S²M²T DA) Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

RRSGAN: Reference-Based Super-Resolution for Remote Sensing Image.