Dongren Yao

18 papers A* 1Journal 4Unranked 13
YearRankTypeTitle / Venue / Authors
2022 J jnl
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI.
Medical Image Anal.
Nan Wang, Dongren Yao, Lizhuang Ma, Mingxia Liu
2022 A* conf
Mutual Quantization for Cross-Modal Search with Noisy Labels.
CVPR
Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng
2021 J jnl
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.
IEEE Trans. Medical Imaging
Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
2021 — conf
BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders.
EMBC
Dongmei Zhi, Vince D. Calhoun, Chuanyue Wang, Xianbin Li, Xiaohong Ma, Luxian Lv, Weizheng Yan, Dongren Yao, Shile Qi, Rongtao Jiang, Jianlong Zhao, Xiao Yang, Zheng Lin, Yujin Zhang, Young Chul Chung, Chuanjun Zhuo, Jing Sui
2021 J jnl
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval.
IEEE Trans. Medical Imaging
Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen
2021 — conf
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network.
PRIME@MICCAI
Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu
2021 — conf
Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates
EMBC
Na Luo, Xiangsheng Luo, Dongren Yao, Vince D. Calhoun, Li Sun, Jing Sui
2021 — conf
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study.
MLMI@MICCAI
Hao Guan, Li Wang, Dongren Yao, Andrea Bozoki, Mingxia Liu
2021 — conf
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI.
MICCAI (5)
Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu
2020 — conf
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search.
MICCAI (1)
Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020 J jnl
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network.
IEEE Trans. Biomed. Eng.
Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen
2020 — conf
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI.
MLMI@MICCAI
Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2019 — conf
ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework.
ISBI
Dongren Yao, Hailun Sun, Xiaojie Guo, Vince D. Calhoun, Li Sun, Jing Sui
2019 — conf
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.
GLMI@MICCAI
Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen
2018 — conf
Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning.
EMBC
Dongren Yao, Xiaojie Guo, Qihua Zhao, Lu Liu, Qingjiu Cao, Yufeng Wang, Vince D. Calhoun, Li Sun, Jing Sui
2015 — conf
Chinese Textual Entailment Recognition Enhanced with Word Embedding.
CCL
Zhichang Zhang, Dongren Yao, Yali Pang, Xiaoyong Lu
2014 — conf
Chinese Textual Entailment Recognition Based on Syntactic Tree Clipping.
CCL
Zhichang Zhang, Dongren Yao, Songyi Chen, Huifang Ma
2014 — conf
NWNU Minimum Information Recognizing Entailment System for NTCIR-11 RITE-3 Task.
NTCIR
Zhichang Zhang, Dongren Yao, Longlong Mao, Songyi Chen