Chinese Textual Entailment Recognition Based on Syntactic Tree Clipping. - Zhichang Zhang; Dongren Yao; Songyi Chen; Huifang Ma (CCL, 2014)

NWNU Minimum Information Recognizing Entailment System for NTCIR-11 RITE-3 Task. - Zhichang Zhang; Dongren Yao; Longlong Mao; Songyi Chen (NTCIR, 2014)

Chinese Textual Entailment Recognition Enhanced with Word Embedding. - Zhichang Zhang; Dongren Yao; Yali Pang; Xiaoyong Lu (CCL, 2015)

Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning. - Dongren Yao; Xiaojie Guo; Qihua Zhao; Lu Liu; Qingjiu Cao; Yufeng Wang; Vince D. Calhoun; Li Sun; Jing Sui (EMBC, 2018)

ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework. - Dongren Yao; Hailun Sun; Xiaojie Guo; Vince D. Calhoun; Li Sun; Jing Sui (ISBI, 2019)

Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. - Dongren Yao; Mingxia Liu 001; Mingliang Wang; Chunfeng Lian; Jie Wei; Li Sun; Jing Sui; Dinggang Shen (GLMI@MICCAI, 2019)

Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. - Erkun Yang; Dongren Yao; Bing Cao 002; Hao Guan; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (MICCAI (1), 2020)

Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. - Dongren Yao; Jing Sui; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (MLMI@MICCAI, 2020)

Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. - Mingliang Wang; Chunfeng Lian; Dongren Yao; Daoqiang Zhang; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates *. - Na Luo; Xiangsheng Luo; Dongren Yao; Vince D. Calhoun; Li Sun; Jing Sui (EMBC, 2021)

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. - 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; et al. (EMBC, 2021)

Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. - Hao Guan; Li Wang 026; Dongren Yao; Andrea Bozoki; Mingxia Liu 001 (MLMI@MICCAI, 2021)

Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. - Dongren Yao; Erkun Yang; Hao Guan; Jing Sui; Zhizhong Zhang; Mingxia Liu 001 (MICCAI (5), 2021)

Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. - Dongren Yao; Erkun Yang; Li Sun; Jing Sui; Mingxia Liu 001 (PRIME@MICCAI, 2021)

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. - Erkun Yang; Mingxia Liu 001; Dongren Yao; Bing Cao 002; Chunfeng Lian; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. - Dongren Yao; Jing Sui; Mingliang Wang; Erkun Yang; Yeerfan Jiaerken; Na Luo; Pew-Thian Yap; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Mutual Quantization for Cross-Modal Search with Noisy Labels. - Erkun Yang; Dongren Yao; Tongliang Liu; Cheng Deng (CVPR, 2022)

Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI. - Nan Wang; Dongren Yao; Lizhuang Ma; Mingxia Liu 001 (Medical Image Anal., 2022)