Mengjia Xu

Orcid: 0000-0002-3627-8261

According to our database1, Mengjia Xu authored at least 20 papers between 2015 and 2024.

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Bibliography

2024
Hierarchical contrastive learning and color standardization for single image sand-dust removal.
Pattern Anal. Appl., March, 2024

DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers.
CoRR, 2023

Norm-based Generalization Bounds for Compositionally Sparse Neural Networks.
CoRR, 2023

Norm-based Generalization Bounds for Sparse Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Scalable algorithms for physics-informed neural and graph networks.
CoRR, 2022

2021
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks.
IEEE Trans. Biomed. Eng., 2021

Understanding Graph Embedding Methods and Their Applications.
SIAM Rev., 2021

AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images.
CoRR, 2021

2020
Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease.
IEEE J. Biomed. Health Informatics, 2020

A new Graph Gaussian embedding method for analyzing the effects of cognitive training.
PLoS Comput. Biol., 2020

Multi-label Detection and Classification of Red Blood Cells in Microscopic Images.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
NPP-Based Evaluation of Ecological Assets in China's Ecological Conservation Redline Area.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Present Vertical Crustal Movement in North Segment Of North-South Tectonic Belt Derived From GNSS.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Dynamic Changes of the Alpine Wetlands in Tibet, China.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A deep convolutional neural network for classification of red blood cells in sickle cell anemia.
PLoS Comput. Biol., 2017

Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net.
CoRR, 2017

2016
Modified generalized sample entropy and surrogate data analysis for stock markets.
Commun. Nonlinear Sci. Numer. Simul., 2016

2015
Traffic signals analysis using <i>qSDiff</i> and <i>qHDiff</i> with surrogate data.
Commun. Nonlinear Sci. Numer. Simul., 2015


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