Tengfei Xue

Orcid: 0000-0003-3871-2321

According to our database1, Tengfei Xue authored at least 35 papers between 2011 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance.
Medical Image Anal., 2024

Multi-Programming Language Ensemble for Code Generation in Large Language Model.
CoRR, 2024

NinjaLLM: Fast, Scalable and Cost-effective RAG using Amazon SageMaker and AWS Trainium and Inferentia2.
CoRR, 2024

Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module.
CoRR, 2024

TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography.
CoRR, 2024

SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt.
Proceedings of the Foundation Models for General Medical AI, 2024

Enhancing Advanced Visual Reasoning Ability of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation.
NeuroImage, June, 2023

Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions.
Medical Image Anal., April, 2023

PILE: Robust Privacy-Preserving Federated Learning Via Verifiable Perturbations.
IEEE Trans. Dependable Secur. Comput., 2023

TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

GeoLab: Geometry-Based Tractography Parcellation of Superficial White Matter.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
One-Shot Learning-Based Animal Video Segmentation.
IEEE Trans. Ind. Informatics, 2022

White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project.
NeuroImage, 2022

Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections.
CoRR, 2022

A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography.
CoRR, 2022

DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation.
CoRR, 2022

TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
An Efficient Batch Verification Scheme for SM2 Signatures.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

2018
An Approach for Evaluating User Participation in Bitcoin.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

The Feature Representation Ability of Variational AutoEncoder.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Proof of Contribution: A Modification of Proof of Work to Increase Mining Efficiency.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Quantitative extraction of wall cracks information of earthquake damaged buildings based on ground-based lidar.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2014
The application of text similarity computing in the Clinical Decision Support System.
Proceedings of the IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014

A big data processing methods for visualization.
Proceedings of the IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014

2011
3D Terrain visualization for Mountain Taishan.
Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011

Location selection of ecological zone based on Geoprocessing server.
Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011

Investigating ground subsidence in Beijing by using interferogram stacking InSAR.
Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011


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