Dongren Yao

Orcid: 0000-0002-9922-1756

According to our database1, Dongren Yao authored at least 18 papers between 2014 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI.
Medical Image Anal., 2022

Mutual Quantization for Cross-Modal Search with Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.
IEEE Trans. Medical Imaging, 2021

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval.
IEEE Trans. Medical Imaging, 2021

Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates <sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network.
IEEE Trans. Biomed. Eng., 2020

Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2015
Chinese Textual Entailment Recognition Enhanced with Word Embedding.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

2014
NWNU Minimum Information Recognizing Entailment System for NTCIR-11 RITE-3 Task.
Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, 2014

Chinese Textual Entailment Recognition Based on Syntactic Tree Clipping.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014


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