Qunxi Dong

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Language Generation

Predicting Future

Cognitive Theory

Top Venues

IEEE Trans. Comput. Soc. Syst.

IEEE J. Biomed. Health Informatics

Medical Image Anal.

Publications

Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory. CoRR (2024)
Shuting Sun, Shanshan Qu, Chang Yan, Gang Luo, Xuesong Liu, Qunxi Dong, Xiaowei Li
A Study of Major Depressive Disorder Based on Resting-State Multilayer EEG Function Network. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Jian Shen, Kexin Zhu, Zeguang Zhao, Huajian Liang, Yu Ma, Kun Qian, Yanan Zhang, Qunxi Dong
A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Weigang Cui, Mingyi Sun, Qunxi Dong, Yuzhu Guo, Xiao-Feng Liao, Yang Li
A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Jingyu Liu, Wenxin Yang, Yulan Ma, Qunxi Dong, Yang Li, Bin Hu
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification. Comput. Biol. Medicine 171 (2024)
Bin Hu, Lixian Zhu, Qunxi Dong, Kun Qian, Hanshu Cai, Fuze Tian
Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong, Ran Cai, Yang Li, Bin Hu
Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. IEEE Trans. Medical Imaging 43 (2) (2024)
Qunxi Dong, Hongxin Cai, Zhigang Li, Jingyu Liu, Bin Hu
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Qunxi Dong, Zhigang Li, Weijia Liu, Kewei Chen, Yi Su, Jianfeng Wu, Richard J. Caselli, Eric M. Reiman, Yalin Wang, Jian Shen
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects. IEEE Trans. Comput. Soc. Syst. 10 (6) (2023)
Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Kexin Zhu, Kun Qian, Qunxi Dong, Xiaowei Zhang, Bin Hu
Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Shuting Sun, Huayu Chen, Gang Luo, Chang Yan, Qunxi Dong, Xuexiao Shao, Xiaowei Li, Bin Hu
Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Fuze Tian, Lixian Zhu, Qiuxia Shi, Rui Wang, Lixin Zhang, Qunxi Dong, Kun Qian, Qinglin Zhao, Bin Hu
The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization. IEEE Trans. Biomed. Circuits Syst. 17 (6) (2023)
Lixian Zhu, Chang Yan, Xiaokun Jin, Fuze Tian, Yanan Zhao, Yu Ma, Yeqi Jia, Qunxi Dong, Peijing Rong, Kun Qian, Bin Hu
When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation. ACIIW (2022)
Bin Hu, Kun Qian, Qunxi Dong, Yuejia Luo, Yoshiharu Yamamoto, Björn W. Schuller
Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status. IEEE Trans. Comput. Soc. Syst. 9 (5) (2022)
Bin Hu, Jian Shen, Lixian Zhu, Qunxi Dong, Hanshu Cai, Kun Qian
Fundamentals of Computational Psychophysiology: Theory and Methodology. IEEE Trans. Comput. Soc. Syst. 9 (2) (2022)
Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70 (2021)
Yonghui Fan, Gang Wang, Qunxi Dong, Yuxiang Liu, Natasha Leporé, Yalin Wang
Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiative. Medical Image Anal. 72 (2021)
Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR (2021)
Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition. Medical Image Anal. 67 (2021)
Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang
Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition. CoRR (2020)
Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI (2019)
Qunxi Dong, Bin Hu, Jianyuan Zhang, Xiaowei Li, Martyn Ratcliffe
A study on visual attention modeling - A linear regression method based on EEG. IJCNN (2013)
Hong Peng, Bin Hu, Quanying Liu, Qunxi Dong, Qinglin Zhao, Philip Moore
User-centered depression prevention: An EEG approach to pervasive healthcare. PervasiveHealth (2011)