Chengxi Li
Orcid: 0000-0003-1649-1943Affiliations:
- Tsinghua University, Department of Electronic Engineering, Beijing, China
According to our database1,
Chengxi Li
authored at least 17 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Commun., August, 2024
IEEE Trans. Signal Process., 2024
Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation.
IEEE Trans. Geosci. Remote. Sens., 2024
COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks.
Inf. Fusion, 2024
2023
A Copula-Based Method for Change Detection With Multisensor Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
Distributed detection of sparse signals with censoring sensors in clustered sensor networks.
Inf. Fusion, 2022
2021
IEEE Internet Things J., 2021
2020
Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy.
IEEE Trans. Signal Process., 2020
Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-Structured Sensor Networks.
IEEE Trans. Signal Process., 2020
Distributed Detection of Sparse Signals With Censoring Sensors Via Locally Most Powerful Test.
IEEE Signal Process. Lett., 2020
Distributed Detection of Sparse Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements.
IEEE Trans. Signal Process., 2019
Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios.
IEEE Signal Process. Lett., 2019