Qunxi Dong

40 papers B 1Journal 35Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging the gap between data distribution and model: Dynamic data distribution optimization for improving critique capabilities of large language models.
Expert Syst. Appl.
Chen Xu, Tian Lan, Zhenyu Lv, Qunxi Dong, Jieshuo Zhang, Heyan Huang, Minqiang Yang, Bin Hu
2026 J jnl
Hyper-Parallel Superscalar Asynchronous RISC-V Processor Based on Event-Driven Logic.
IEEE Trans. Comput. Soc. Syst.
Kangli Zhao, Anping He, Jun Ma, Lixin Zhang, Lixian Zhu, Qunxi Dong, Fuze Tian, Qingguo Zhou, Qinglin Zhao
2026 J jnl
WDANet: Wasserstein Distribution Inspired Dynamic Adversarial Network for EEG-Based Cross-Domain Depression Recognition.
IEEE Trans. Affect. Comput.
Jian Shen, Kang Wang, Zeguang Zhao, Yanan Zhang, Fuze Tian, Xiaowei Zhang, Qunxi Dong, Bin Hu
2025 J jnl
Constraint-Driven Causal Representation Learning for Vigilance Robust Estimation in Brain-Computer Interface.
IEEE Trans. Neural Networks Learn. Syst.
Xuan Zhang, Wang Zheng, Zhigang Li, Yi Yang, Weijia Liu, Hongxin Cai, Junru Zhu, Jingyu Liu, Bin Hu, Qunxi Dong
2025 J jnl
Decider: A Dual-System Rule-Controllable Decoding Framework for Language Generation.
IEEE Trans. Knowl. Data Eng.
Chen Xu, Tian Lan, Yu Ji, Changlong Yu, Wei Wang, Jun Gao, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
2025 J jnl
Depression recognition using high-order generalized multilayer brain functional network fused with EEG multi-domain information.
Inf. Fusion
Shanshan Qu, Dixin Wang, Chang Yan, Na Chu, Zhigang Li, Gang Luo, Huayu Chen, Xuesong Liu, Xuan Zhang, Qunxi Dong, Xiaowei Li, Shuting Sun, Bin Hu
2025 J jnl
Dynamic Brain Network Modeling Based on Nonlinear Low-Rank Manifold Regularization.
IEEE Trans. Comput. Soc. Syst.
San-Wang Wang, Zhi-Gang Li, Kai Yuan, Shanshan Qu, Xin Wen, Wei-Feng Mi, Qunxi Dong, Lin Lu, Gaohua Wang
2025 J jnl
Exploring the Alleviating Effects of taVNS on Negative Emotions: An EEG Study.
IEEE Trans. Comput. Soc. Syst.
Xiaokun Jin, Chengcheng Zheng, Mingyue Jin, Qunxi Dong, Lixian Zhu, Fuze Tian
2025 J jnl
LLM-as-a-Supervisor: Mistaken Therapeutic Behaviors Trigger Targeted Supervisory Feedback.
CoRR
Chen Xu, Zhenyu Lv, Tian Lan, Xianyang Wang, Luyao Ji, Leyang Cui, Minqiang Yang, Jian Shen, Qunxi Dong, Xiuling Liu, Juan Wang, Bin Hu
2025 — conf
MS-DAAN: A Multi-Source Dynamic Adversarial Adaptation Network for EEG-Based Depression Recognition.
BIBM
Nanxi Deng, Jian Shen, Kang Wang, Wenbo Hu, Yanan Zhang, Rui Liu, Jingjing Zhou, Qunxi Dong, Bin Hu
2025 J jnl
Schizophrenia Detection Based on Morphometry of Hippocampus and Amygdala.
IEEE J. Biomed. Health Informatics
Qunxi Dong, Yuhang Sheng, Junru Zhu, Zhigang Li, Weijia Liu, Jingyu Liu, Yalin Wang, Bin Hu
2025 J jnl
Semantic Disentangling for Audiovisual Induced Emotion.
IEEE Trans. Comput. Soc. Syst.
Qunxi Dong, Wang Zheng, Fuze Tian, Lixian Zhu, Kun Qian, Jingyu Liu, Xuan Zhang
2025 J jnl
Similarity-guided multi-view functional brain network fusion.
Medical Image Anal.
Zhigang Li, Jingyu Liu, Mengkai Sun, Fa Zhang, Bin Hu, Qunxi Dong
2024 J jnl
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis.
IEEE J. Biomed. Health Informatics
Qunxi Dong, Hongxin Cai, Zhigang Li, Jingyu Liu, Bin Hu
2024 J jnl
A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection.
IEEE Trans. Comput. Soc. Syst.
Weigang Cui, Mingyi Sun, Qunxi Dong, Yuzhu Guo, Xiao-Feng Liao, Yang Li
2024 J jnl
A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students.
IEEE Trans. Comput. Soc. Syst.
Jian Shen, Kexin Zhu, Zeguang Zhao, Huajian Liang, Yu Ma, Kun Qian, Yanan Zhang, Qunxi Dong
2024 J jnl
A Study of Major Depressive Disorder Based on Resting-State Multilayer EEG Function Network.
IEEE Trans. Comput. Soc. Syst.
Shuting Sun, Shanshan Qu, Chang Yan, Gang Luo, Xuesong Liu, Qunxi Dong, Xiaowei Li
2024 J jnl
Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation.
IEEE Trans. Comput. Soc. Syst.
Jingyu Liu, Zhigang Li, Yuhang Sheng, Jingjing Zhou, Lei Feng, Hongxin Cai, Weijia Liu, Fuze Tian, Qunxi Dong, Rui Liu
2024 J jnl
Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs.
IEEE Trans. Comput. Soc. Syst.
Fuze Tian, Lixin Zhang, Lixian Zhu, Mingqi Zhao, Jingyu Liu, Qunxi Dong, Qinglin Zhao
2024 J jnl
DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory.
CoRR
Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
2024 J jnl
Declined Tactile Angle Discrimination in Young Patients With Migraine Without Aura or Tension-Type Headache.
IEEE Trans. Comput. Soc. Syst.
Ge Jiao, Jian Zhang, Zhilin Zhang, Jinglong Wu, Junru Zhu, Qunxi Dong, Aihua Wang, Shengyuan Yu
2024 J jnl
Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis.
IEEE Trans. Medical Imaging
Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong, Ran Cai, Yang Li, Bin Hu
2024 J jnl
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification.
Comput. Biol. Medicine
Jingyu Liu, Wenxin Yang, Yulan Ma, Qunxi Dong, Yang Li, Bin Hu
2024 J jnl
Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives.
IEEE Trans. Comput. Soc. Syst.
Bin Hu, Lixian Zhu, Qunxi Dong, Kun Qian, Hanshu Cai, Fuze Tian
2024 J jnl
Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition.
IEEE Trans. Comput. Soc. Syst.
Jian Shen, Kexin Zhu, Huakang Liu, Jinwen Wu, Kang Wang, Qunxi Dong
2023 J jnl
Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals.
IEEE J. Biomed. Health Informatics
Shuting Sun, Huayu Chen, Gang Luo, Chang Yan, Qunxi Dong, Xuexiao Shao, Xiaowei Li, Bin Hu
2023 J jnl
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects.
IEEE Trans. Comput. Soc. Syst.
Qunxi Dong, Zhigang Li, Weijia Liu, Kewei Chen, Yi Su, Jianfeng Wu, Richard J. Caselli, Eric M. Reiman, Yalin Wang, Jian Shen
2023 J jnl
Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss.
IEEE J. Biomed. Health Informatics
Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Kexin Zhu, Kun Qian, Qunxi Dong, Xiaowei Zhang, Bin Hu
2023 J jnl
The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization.
IEEE Trans. Biomed. Circuits Syst.
Fuze Tian, Lixian Zhu, Qiuxia Shi, Rui Wang, Lixin Zhang, Qunxi Dong, Kun Qian, Qinglin Zhao, Bin Hu
2022 J jnl
Fundamentals of Computational Psychophysiology: Theory and Methodology.
IEEE Trans. Comput. Soc. Syst.
Bin Hu, Jian Shen, Lixian Zhu, Qunxi Dong, Hanshu Cai, Kun Qian
2022 J jnl
Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status.
IEEE Trans. Comput. Soc. Syst.
Bin Hu, Kun Qian, Qunxi Dong, Yuejia Luo, Yoshiharu Yamamoto, Björn W. Schuller
2022 — conf
When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation.
ACIIW
Lixian Zhu, Chang Yan, Xiaokun Jin, Fuze Tian, Yanan Zhao, Yu Ma, Yeqi Jia, Qunxi Dong, Peijing Rong, Kun Qian, Bin Hu
2021 J jnl
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition.
Medical Image Anal.
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
2021 J jnl
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding.
CoRR
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
2021 J jnl
Predicting future cognitive decline with hyperbolic stochastic coding.
Medical Image Anal.
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
2021 J jnl
Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiative.
Medical Image Anal.
Yonghui Fan, Gang Wang, Qunxi Dong, Yuxiang Liu, Natasha Leporé, Yalin Wang
2020 J jnl
Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition.
CoRR
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
2019 — conf
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease.
HBAI@IJCAI
Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang
2013 B conf
A study on visual attention modeling - A linear regression method based on EEG.
IJCNN
Qunxi Dong, Bin Hu, Jianyuan Zhang, Xiaowei Li, Martyn Ratcliffe
2011 — conf
User-centered depression prevention: An EEG approach to pervasive healthcare.
PervasiveHealth
Hong Peng, Bin Hu, Quanying Liu, Qunxi Dong, Qinglin Zhao, Philip Moore