Daixun Li

Orcid: 0009-0006-8689-6929

According to our database1, Daixun Li authored at least 24 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LoME: LoRA-Driven Multimodal Extractor for RGB-X Vision Tasks.
IEEE Trans. Circuits Syst. Video Technol., February, 2026

MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification.
Neural Networks, 2026

2025
Semi-Mamba: Mamba-Driven Semi-Supervised Multimodal Remote Sensing Feature Classification.
IEEE Trans. Circuits Syst. Video Technol., October, 2025

High-Energy Concentration for Federated Learning in Frequency Domain.
CoRR, September, 2025

MIFNet: Multi-Scale Interaction Fusion Network for Remote Sensing Image Change Detection.
IEEE Trans. Circuits Syst. Video Technol., March, 2025

Dual-Depth Unified Joint Optimization: Adaptive Curvature-Based Compression.
IEEE Trans. Circuits Syst. Video Technol., 2025

Uni-Sight: An E2E Vision-Language-Action System Unifying Multi-View Alignment and Multi-Modal Fusion.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

FusionSAM: Visual Multi-Modal Learning with Segment Anything Model.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Towards Long-Horizon Vision-Language-Action System: Reasoning, Acting and Memory.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

FedCS: Coreset Selection for Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation.
IEEE Trans. Geosci. Remote. Sens., 2024

Ebbinghaus-Curve Guided Low-Rank Component-Induced Attention for Multisource Remote Sensing Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

FedFusion: Manifold-Driven Federated Learning for Multi-Satellite and Multi-Modality Fusion.
IEEE Trans. Geosci. Remote. Sens., 2024

FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation.
CoRR, 2024

Reducing Spurious Correlation for Federated Domain Generalization.
CoRR, 2024

EfficientMFD: Towards More Efficient Multimodal Synchronous Fusion Detection.
CoRR, 2024

E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FedSLS: Exploring Federated Aggregation in Saliency Latent Space.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MDFL: Multi-Domain Diffusion-Driven Feature Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Invariant Attribute-Driven Binary Bi-Branch Classification of Hyperspectral and LiDAR Images.
Remote. Sens., September, 2023

SAR-Net: Multi-scale Direction-aware SAR Network via Global Information Fusion.
CoRR, 2023


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