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Mengjia Xu
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2020 – today
- 2024
- [j10]Alan John Varghese, Aniruddha Bora, Mengjia Xu, George Em Karniadakis:
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers. Neural Networks 172: 106086 (2024) - [j9]Yazhong Si, Mengjia Xu, Fan Yang:
Hierarchical contrastive learning and color standardization for single image sand-dust removal. Pattern Anal. Appl. 27(1): 5 (2024) - [j8]Mengjia Xu, Apoorva Vikram Singh, George Em Karniadakis:
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs. IEEE Trans. Neural Networks Learn. Syst. 35(1): 985-998 (2024) - [i10]Luca Candelori, Alexander G. Abanov, Jeffrey Berger, Cameron J. Hogan, Vahagn Kirakosyan, Kharen Musaelian, Ryan Samson, James E. T. Smith, Dario Villani, Martin T. Wells, Mengjia Xu:
Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning. CoRR abs/2409.12805 (2024) - 2023
- [c6]Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso A. Poggio:
Norm-based Generalization Bounds for Sparse Neural Networks. NeurIPS 2023 - [i9]Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso A. Poggio:
Norm-based Generalization Bounds for Compositionally Sparse Neural Networks. CoRR abs/2301.12033 (2023) - [i8]Alan John Varghese, Aniruddha Bora, Mengjia Xu, George Em Karniadakis:
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers. CoRR abs/2307.02588 (2023) - 2022
- [i7]Khemraj Shukla, Mengjia Xu, Nathaniel Trask, George Em Karniadakis:
Scalable algorithms for physics-informed neural and graph networks. CoRR abs/2205.08332 (2022) - 2021
- [j7]Mengjia Xu:
Understanding Graph Embedding Methods and Their Applications. SIAM Rev. 63(4): 825-853 (2021) - [j6]Mengjia Xu, David López-Sanz, Pilar Garcés, Fernando Maestú, Quanzheng Li, Dimitrios Pantazis:
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks. IEEE Trans. Biomed. Eng. 68(5): 1579-1588 (2021) - [i6]Qian Zhang, Konstantina Sampani, Mengjia Xu, Shengze Cai, Yixiang Deng, He Li, Jennifer K. Sun, George Em Karniadakis:
AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images. CoRR abs/2106.02800 (2021) - [i5]Mengjia Xu, Apoorva Vikram Singh, George Em Karniadakis:
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs. CoRR abs/2109.13441 (2021) - 2020
- [j5]Mengjia Xu, Zhijiang Wang, Haifeng Zhang, Dimitrios Pantazis, Huali Wang, Quanzheng Li:
A new Graph Gaussian embedding method for analyzing the effects of cognitive training. PLoS Comput. Biol. 16(9) (2020) - [j4]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease. IEEE J. Biomed. Health Informatics 24(11): 3095-3102 (2020) - [c5]Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. IEEE BigData 2020: 4257-4263 - [i4]Mengjia Xu, David López-Sanz, Pilar Garcés, Fernando Maestú, Quanzheng Li, Dimitrios Pantazis:
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks. CoRR abs/2005.05784 (2020) - [i3]Mengjia Xu:
Understanding graph embedding methods and their applications. CoRR abs/2012.08019 (2020)
2010 – 2019
- 2019
- [c4]Mengjia Xu, Yan Wang, Changxin Zou, Dong Liu:
NPP-Based Evaluation of Ecological Assets in China's Ecological Conservation Redline Area. IGARSS 2019: 4399-4402 - [c3]Jing Wang, Mengjia Xu, Heqing Ma, Shiyang Liu, Xinyan Li:
Present Vertical Crustal Movement in North Segment Of North-South Tectonic Belt Derived From GNSS. IGARSS 2019: 6827-6830 - [i2]Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. CoRR abs/1910.02672 (2019) - 2018
- [c2]Dong Liu, Mengjia Xu:
Dynamic Changes of the Alpine Wetlands in Tibet, China. IGARSS 2018: 9229-9232 - [c1]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net. MICCAI (4) 2018: 695-702 - 2017
- [j3]Mengjia Xu, Dimitrios P. Papageorgiou, Sabia Z. Abidi, Ming Dao, Hong Zhao, George E. Karniadakis:
A deep convolutional neural network for classification of red blood cells in sickle cell anemia. PLoS Comput. Biol. 13(10) (2017) - [i1]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net. CoRR abs/1710.08149 (2017) - 2016
- [j2]Mengjia Xu, Pengjian Shang, Jingjing Huang:
Modified generalized sample entropy and surrogate data analysis for stock markets. Commun. Nonlinear Sci. Numer. Simul. 35: 17-24 (2016) - 2015
- [j1]Mengjia Xu, Pengjian Shang, Jianan Xia:
Traffic signals analysis using qSDiff and qHDiff with surrogate data. Commun. Nonlinear Sci. Numer. Simul. 28(Issues): 98-108 (2015)
Coauthor Index
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