Xuqing Wu

Orcid: 0000-0002-3243-1492

Affiliations:
  • University of Houston, TX, USA


According to our database1, Xuqing Wu authored at least 24 papers between 2008 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Dip-Informed Neural Network for Self-Supervised Anti-Aliasing Seismic Data Interpolation.
IEEE Trans. Geosci. Remote. Sens., 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
Self-Supervised Learning for Efficient Antialiasing Seismic Data Interpolation.
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
First arrival picking using U-net with Lovasz loss and nearest point picking method.
CoRR, 2021

2020
Automatic First Arrival Picking via Deep Learning With Human Interactive Learning.
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

Detection and Classification of Multi-Magnetic Targets Using Mask-RCNN.
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
Access Control in Internet of Things: A Survey.
CoRR, 2016

2014
Regularized Multi-view Multi-metric Learning for Action Recognition.
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

To Track or To Detect? An Ensemble Framework for Optimal Selection.
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
A bottom-up and top-down model for cell segmentation using multispectral data.
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


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