Xuqing Wu
Orcid: 0000-0002-3243-1492Affiliations:
- University of Houston, TX, USA
According to our database1,
Xuqing Wu
authored at least 25 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Dip-Informed Neural Network for Self-Supervised Anti-Aliasing Seismic Data Interpolation.
IEEE Trans. Geosci. Remote. Sens., 2024
Deep Learning Framework for Multi-Physics Joint Inversion and its Application in the Decorah Area.
Proceedings of the IGARSS 2024, 2024
2023
A Self-Supervised Deep Learning Method for Seismic Data Deblending Using a Blind-Trace Network.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
Active Gamma-Ray Log Pattern Localization With Distributionally Robust Reinforcement Learning.
IEEE Trans. Geosci. Remote. Sens., 2023
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy.
CoRR, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
Efficient Progressive Transfer Learning for Full-Waveform Inversion With Extrapolated Low-Frequency Reflection Seismic Data.
IEEE Trans. Geosci. Remote. Sens., 2022
Deep Learning-Assisted Real-Time Forward Modeling of Electromagnetic Logging in Complex Formations.
IEEE Geosci. Remote. Sens. Lett., 2022
A Robust Learning Method for Low-Frequency Extrapolation in GPR Full Waveform Inversion.
IEEE Geosci. Remote. Sens. Lett., 2022
Pseudonym Tracking Certificateless Aggregate Signature Scheme for Preventing Replay Attacks in a Platoon of Vehicles.
Proceedings of the 3rd International Conference on Intelligent Data Science Technologies and Applications, 2022
2021
CoRR, 2021
2020
IEEE Trans. Geosci. Remote. Sens., 2020
A Supervised Descent Learning Technique for Solving Directional Electromagnetic Logging-While-Drilling Inverse Problems.
IEEE Trans. Geosci. Remote. Sens., 2020
IEEE Access, 2020
2019
Progressive transfer learning for low frequency data prediction in full waveform inversion.
CoRR, 2019
2018
High structural coverage ABAC policy combination testing method based on a decision inheritance tree and data flow.
J. Intell. Fuzzy Syst., 2018
2016
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2012
Embedding Topic Discovery in Conditional Random Fields Model for Segmenting Nuclei Using Multispectral Data.
IEEE Trans. Biomed. Eng., 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Cell segmentation in multispectral images using level sets with priors for accurate shape recovery.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Level Set with Embedded Conditional Random Fields and Shape Priors for Segmentation of Overlapping Objects.
Proceedings of the Computer Vision - ACCV 2010, 2010
2009
A Fast Band Selection Method to Increase Image Contrast for Multispectral Image Segmentation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Comparative analysis of cell segmentation using absorption and color images in fine needle aspiration cytology.
Proceedings of the IEEE International Conference on Systems, 2008