Yunxiao Sun

According to our database1, Yunxiao Sun authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
An Improved YOLOv5 Method to Detect Tailings Ponds from High-Resolution Remote Sensing Images.
Remote. Sens., April, 2023

Hybrid Intrusion Detection System Based on Combination of Random Forest and Autoencoder.
Symmetry, February, 2023

DMU-Net: A Dual-Stream Multi-Scale U-Net Network Using Multi-Dimensional Spatial Information for Urban Building Extraction.
Sensors, February, 2023

2022
Multi Slice SLA Collaboration and Optimization of Power 5G Big Data Security Business.
Proceedings of the Big Data and Security - 4th International Conference, 2022

2021
FixNorm: Dissecting Weight Decay for Training Deep Neural Networks.
CoRR, 2021

2020
Exposure opportunity index: measuring people-perceiving-greenery at floor-level effectively.
Earth Sci. Informatics, 2020

2018
A Content Auditing Method of IPsec VPN.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2017
A Soil Moisture Retrieval Method Based on Typical Polarization Decomposition Techniques for a Maize Field from Full-Polarization Radarsat-2 Data.
Remote. Sens., 2017

Spatial and Temporal Analysis of the Mitigating Effects of Industrial Relocation on the Surface Urban Heat Island over China.
ISPRS Int. J. Geo Inf., 2017

Practical Optimization for Wireless Network with Network Coded Opportunistic Routing and SIC.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Practical Optimization for Wireless Network with Intra-Session Network Coding and SIC.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
Walking with green scenery: Exploring street-level greenery in terms of visual perception.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Using mathematical morphology on LiDAR data to extract information from urban vegetation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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