Jingru Zhu

Orcid: 0000-0002-9755-0855

According to our database1, Jingru Zhu authored at least 12 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery.
CoRR, 2024

2023
Road Extraction from High-Resolution Remote Sensing Images via Local and Global Context Reasoning.
Remote. Sens., September, 2023

Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery.
Remote. Sens., March, 2023

Unsupervised Domain Adaptation Semantic Segmentation of High-Resolution Remote Sensing Imagery With Invariant Domain-Level Prototype Memory.
IEEE Trans. Geosci. Remote. Sens., 2023

Memory-Contrastive Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Unsupervised Domain Adaptation for Semantic Segmentation of High-Resolution Remote Sensing Imagery Driven by Category-Certainty Attention.
IEEE Trans. Geosci. Remote. Sens., 2022

Improving Few-Shot Remote Sensing Scene Classification With Class Name Semantics.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep Reinforcement Learning-Based Adaptive Modulation for Underwater Acoustic Communication with Outdated Channel State Information.
Remote. Sens., 2022

Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory.
CoRR, 2022

2021
SMAF-Net: Sharing Multiscale Adversarial Feature for High-Resolution Remote Sensing Imagery Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2021

Underwater Acoustic Adaptive Modulation with Reinforcement Learning and Channel Prediction.
Proceedings of the WUWNet'21: The 15th International Conference on Underwater Networks & Systems, Shenzhen, Guangdong, China, November 22, 2021

2020
Multi-Scale Spatial and Channel-wise Attention for Improving Object Detection in Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2020


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