Xiaowen Ma

Orcid: 0000-0001-5031-2641

According to our database1, Xiaowen Ma authored at least 30 papers between 2019 and 2025.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2025
Social robot detection based on user behavioral representation.
Inf. Sci., 2025

2024
An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations.
ISPRS Int. J. Geo Inf., April, 2024

DOCNet: Dual-Domain Optimized Class-Aware Network for Remote Sensing Image Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2024

Multi-interest sequential recommendation with contrastive learning and temporal analysis.
Knowl. Based Syst., 2024

The microblog sentiment analysis based on latent dirichlet allocation and deep learning approaches.
J. Comput. Methods Sci. Eng., 2024

The use of intelligent real-time image acquisition system using data mining technology in news acquisition and editing practice.
J. Comput. Methods Sci. Eng., 2024

LOGCAN++: Local-global class-aware network for semantic segmentation of remote sensing images.
CoRR, 2024

Rethinking Remote Sensing Change Detection With A Mask View.
CoRR, 2024

DDLNet: Boosting Remote Sensing Change Detection with Dual-Domain Learning.
CoRR, 2024

Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation.
CoRR, 2024

DuCoFPan: Dual-Condition Flow-based Network for Pan-sharpening.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DDLNet: Boosting Remote Sensing Change Detection with Dual-Domain Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CROCFUN: Cross-Modal Conditional Fusion Network for Pansharpening.
Proceedings of the IEEE International Conference on Acoustics, 2024


2023
MAPMaN: Multi-Stage U-Shaped Adaptive Pattern Matching Network for Semantic Segmentation of Remote Sensing Images.
Comput. Graph. Forum, October, 2023

DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation.
IEEE J. Biomed. Health Informatics, July, 2023

Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians.
Sensors, 2023

DBDAN: Dual-Branch Dynamic Attention Network for Semantic Segmentation of Remote Sensing Images.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Distributed Implementation of SM4 Block Cipher Algorithm Based on SPDZ Secure Multi-party Computation Protocol.
Proceedings of the Data Science, 2023

STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

SACANet: scene-aware class attention network for semantic segmentation of remote sensing images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

STANet: Spatiotemporal Adaptive Network for Remote Sensing Images.
Proceedings of the IEEE International Conference on Image Processing, 2023

Log-Can: Local-Global Class-Aware Network For Semantic Segmentation of Remote Sensing Images.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Towards Consistent Soil Moisture Records from China's FengYun-3 Microwave Observations.
Remote. Sens., 2022

2021
A Home Efficacy Multi-Modal Intelligent Evaluation System for Wearable Treatment Equipment of Insomnia Through Integration Between Traditional Chinese Medicine and Modern Medicine.
Traitement du Signal, 2021

FPGA-Based Linear Detection Algorithm of an Underground Inspection Robot.
Algorithms, 2021

2020
Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging.
Remote. Sens., 2020

Intelligent smart city parking facility layout optimization based on intelligent IoT analysis.
Comput. Commun., 2020

Percentage fat fraction in magnetic resonance imaging: upgrading the osteoporosis-detecting parameter.
BMC Medical Imaging, 2020

2019
RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019


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