Multple-demand system identification and characterization via sparse representations of fMRI data. - Xiang Li 001; Qinglin Dong; Xi Jiang 001; Jinglei Lv; Tianming Liu 001 (ISBI, 2016)

What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording. - Sidi Liu; Jinglei Lv; Yimin Hou; Ting Shoemaker; Qinglin Dong; Kaiming Li; Tianming Liu 001 (ACM Multimedia, 2016)

Modeling Task fMRI Data via Deep Convolutional Autoencoder. - Heng Huang; Xintao Hu; Milad Makkie; Qinglin Dong; Yu Zhao 007; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (IPMI, 2017)

Predicting cortical 3-hinge locations via structural connective features. - Xiao Li 024; Tuo Zhang; Qinglin Dong; Shu Zhang 001; Xintao Hu; Lei Du 001; Lei Guo 002; Tianming Liu 001 (ISBI, 2017)

3-D functional brain network classification using Convolutional Neural Networks. - Dehua Ren; Yu Zhao 007; Hanbo Chen; Qinglin Dong; Jinglei Lv; Tianming Liu 001 (ISBI, 2017)

Decoding dynamic auditory attention during naturalistic experience. - Liting Wang; Xintao Hu; Meng Wang 001; Jinglei Lv; Junwei Han 001; Shijie Zhao 001; Qinglin Dong; Lei Guo 002; Tianming Liu 001 (ISBI, 2017)

Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. - Yu Zhao 007; Qinglin Dong; Hanbo Chen; Armin Iraji; Yujie Li 004; Milad Makkie; Zhifeng Kou; Tianming Liu 001 (Medical Image Anal., 2017)

Modeling task fMRI data via mixture of deep expert networks. - Heng Huang; Xintao Hu; Qinglin Dong; Shijie Zhao 001; Shu Zhang 001; Yu Zhao 007; Lei Quo; Tianming Liu 001 (ISBI, 2018)

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. - Jing Yuan 004; Xiang Li 001; Jinhe Zhang; Liao Luo; Qinglin Dong; Jinglei Lv; Yu Zhao 007; Xi Jiang 001; Shu Zhang 001; Wei Zhang 090; Tianming Liu 001 (NeuroImage, 2018)

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. - Yu Zhao 007; Qinglin Dong; Shu Zhang 001; Wei Zhang 090; Hanbo Chen; Xi Jiang 001; Lei Guo 002; Xintao Hu; Junwei Han 001; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2018)

Modeling Task fMRI Data Via Deep Convolutional Autoencoder. - Heng Huang; Xintao Hu; Yu Zhao 007; Milad Makkie; Qinglin Dong; Shijie Zhao 001; Lei Guo 002; Tianming Liu 001 (IEEE Trans. Medical Imaging, 2018)

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. - Qing Li 027; Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Han Wang 012; Heng Huang; Xia Wu 001; Tianming Liu 001 (IPMI, 2019)

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. - Fangfei Ge; Shu Zhang 001; Heng Huang; Xi Jiang 001; Qinglin Dong; Lei Guo 002; Xianqiao Wang; Tianming Liu 001 (ISBI, 2019)

Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net. - Wei Zhang 090; Lin Zhao 004; Qing Li 027; Shijie Zhao 001; Qinglin Dong; Xi Jiang 001; Tuo Zhang; Tianming Liu 001 (MICCAI (3), 2019)

Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. - Ning Qiang; Bao Ge; Qinglin Dong; Fangfei Ge; Tianming Liu 001 (MMMI@MICCAI, 2019)

Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker. - Wenyu Li; Qinglin Dong; Hao Jia; Shijie Zhao 001; Yongchen Wang; Li Xie; Qiang Pan; Feng Duan; Tianming Liu 001 (IEEE Access, 2019)

Discovering hierarchical common brain networks via multimodal deep belief network. - Shu Zhang 001; Qinglin Dong; Wei Zhang 090; Heng Huang; Dajiang Zhu; Tianming Liu 001 (Medical Image Anal., 2019)

Recognizing Brain States Using Deep Sparse Recurrent Neural Network. - Han Wang 012; Shijie Zhao 001; Qinglin Dong; Yan Cui 005; Yaowu Chen; Junwei Han 001; Li Xie; Tianming Liu 001 (IEEE Trans. Medical Imaging, 2019)

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. - Ning Qiang; Qinglin Dong; Yifei Sun; Bao Ge; Tianming Liu 001 (ISBI, 2020)

Task fMRI Guided Fiber Clustering via a Deep Clustering Method. - Huan Wang; Qinglin Dong; Ning Qiang; Xin Zhang 013; Tianming Liu 001; Bao Ge (ISBI, 2020)

A Novel fMRI Representation Learning Framework with GAN. - Qinglin Dong; Ning Qiang; Jinglei Lv; Xiang Li 001; Liang Dong; Tianming Liu 001; Quanzheng Li (MLMI@MICCAI, 2020)

Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). - Qinglin Dong; Ning Qiang; Jinglei Lv; Xiang Li 001; Tianming Liu 001; Quanzheng Li (MICCAI (7), 2020)

Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. - Qinglin Dong; Ning Qiang; Jinglei Lv; Xiang Li 001; Tianming Liu 001; Quanzheng Li (MICCAI (7), 2020)

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. - Wei Zhang 090; Shijie Zhao 001; Xintao Hu; Qinglin Dong; Heng Huang; Shu Zhang 001; Yu Zhao 007; Haixing Dai; Fangfei Ge; Lei Guo 002; Tianming Liu 001 (Brain Connect., 2020)

Modeling task-based fMRI data via deep belief network with neural architecture search. - Ning Qiang; Qinglin Dong; Wei Zhang 090; Bao Ge; Fangfei Ge; Hongtao Liang; Yifei Sun; Jie Gao 016; Tianming Liu 001 (Comput. Medical Imaging Graph., 2020)

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. - Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Jinglei Lv; Heng Huang; Jing Yuan 004; Xi Jiang 001; Dinggang Shen; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2020)

Deep Variational Autoencoder for Mapping Functional Brain Networks. - Ning Qiang; Qinglin Dong; Fangfei Ge; Hongtao Liang; Bao Ge; Shu Zhang 001; Yifei Sun; Jie Gao 016; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

Learning brain representation using recurrent Wasserstein generative adversarial net. - Ning Qiang; Qinglin Dong; Hongtao Liang; Jin Li; Shu Zhang 001; Cheng Zhang; Bao Ge; Yifei Sun; Jie Gao 016; Tianming Liu 001; Huiji Yue; Shijie Zhao 001 (Comput. Methods Programs Biomed., 2022)

A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder. - Ning Qiang; Qinglin Dong; Hongtao Liang; Bao Ge; Shu Zhang 001; Cheng Zhang; Jie Gao 016; Yifei Sun (Neural Comput. Appl., 2022)

Functional brain network identification and fMRI augmentation using a VAE-GAN framework. - Ning Qiang; Jie Gao 016; Qinglin Dong; Huiji Yue; Hongtao Liang; Lili Liu; Jingjing Yu; Jing Hu; Shu Zhang 001; Bao Ge; Yifei Sun; Zhengliang Liu; et al. (Comput. Biol. Medicine, 2023)