Jiajun Zheng

Orcid: 0009-0006-5091-6721

According to our database1, Jiajun Zheng authored at least 11 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
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1
2
3
4
2
3
2
1
1
2

Legend:

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Links

On csauthors.net:

Bibliography

2025
Sparse Unmixing of Hyperspectral Images With Noise Reduction Using Spatial Filtering.
IEEE Trans. Instrum. Meas., 2025

Industrial robot energy consumption model identification: A coupling model-driven and data-driven paradigm.
Expert Syst. Appl., 2025

2024
Transfer Reinforcement Learning for Dynamic Spectrum Environment.
IEEE Trans. Wirel. Commun., February, 2024

Robust Multiscale Spectral-Spatial Regularized Sparse Unmixing for Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A unified Jacobi-Ritz-spectral BEM for vibro-acoustic behavior of spherical shell.
Comput. Math. Appl., 2024

2023
An inspection method of rail head surface defect via bimodal structured light sensors.
Int. J. Mach. Learn. Cybern., May, 2023

Local Spectral Similarity-Guided Sparse Unmixing of Hyperspectral Images With Spatial Graph Regularization.
IEEE Trans. Geosci. Remote. Sens., 2023

Multiscale Spatial Sparse Unmixing for Remotely Sensed Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
A Method for Object Recognition and Robot Grasping Detection in Multi-object Scenes.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

2021
Lightweight Bimodal Rail Surface Defect Detection Method: Parallel-YOLOv4-Tiny.
Proceedings of the ICVIP 2021: The 5th International Conference on Video and Image Processing, Hayward, CA, USA, December 22, 2021

Animal Attribute Recognition via Multi-task Learning Based on YOLOX: A multi-task learning network based on YOLOX to realize target detection and attribute recognition at the same time.
Proceedings of the ICVIP 2021: The 5th International Conference on Video and Image Processing, Hayward, CA, USA, December 22, 2021


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