Yu Zhang

150 papers A* 4A 1B 1C 2Misc 5Journal 102Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
A functional system-informed graph neural network framework to quantify interpretable brain dysfunction in ASD.
Neural Networks
Yong Jiao, Xinxu Wei, Lifang He, Yu Zhang
2026 J jnl
Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation.
CoRR
Rong Zhou, Houliang Zhou, Yao Su, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer's Disease Neuroimaging Initiative
2025 J jnl
A multi-scale, multi-task fusion UNet model for accurate breast tumor segmentation.
Comput. Methods Programs Biomed.
Shuo Dai, Xueyan Liu, Wei Wei, Xiaoping Yin, Lishan Qiao, Jianing Wang, Yu Zhang, Yan Hou
2025 J jnl
ADMM-ESINet: A Deep Unrolling Network for EEG Extended Source Imaging.
IEEE J. Biomed. Health Informatics
Ke Liu, Hang Jiang, Hu Yang, Jun Zhang, Zhenghui Gu, Zhuliang Yu, Yu Zhang, Bin Xiao, Wei Wu
2025 Misc conf
DSDIR: A Two-Stage Method for Addressing Noisy Long-Tailed Problems in Malicious Traffic Detection.
ICASSP
Guoliang Li, Ruiqi Zhang, Zhe Sun, Lingkai Xing, Yu Zhang
2025 J jnl
Diffusion Models for Computational Neuroimaging: A Survey.
CoRR
Haokai Zhao, Haowei Lou, Lina Yao, Wei Peng, Ehsan Adeli, Kilian M. Pohl, Yu Zhang
2025 J jnl
Multi-Modal Diagnosis of Alzheimer's Disease Using Interpretable Graph Convolutional Networks.
IEEE Trans. Medical Imaging
Houliang Zhou, Lifang He, Brian Y. Chen, Li Shen, Yu Zhang
2025 J jnl
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion.
Neural Networks
Xinxu Wei, Kanhao Zhao, Yong Jiao, Nancy B. Carlisle, Hua Xie, Gregory A. Fonzo, Yu Zhang
2025 A* conf
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG.
ICML
Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He, Yu Zhang
2025 J jnl
SRM-Net: Joint Sampling and Reconstruction and Mapping Network for Accelerated 3T Brain Multi-Parametric MR Imaging.
IEEE Trans. Biomed. Eng.
Yuxuan Liu, Kaicong Sun, Haikun Qi, Junwei Yang, Xiaopeng Zong, Yongsheng Pan, Yuning Gu, Sifan He, Han Zhang, Yu Zhang, Dinggang Shen
2025 J jnl
Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI.
CoRR
Weichen Dai, Yuxuan Huang, Li Zhu, Dongjun Liu, Yu Zhang, Qibin Zhao, Andrzej Cichocki, Fabio Babiloni, Ke Li, Jianyu Qiu, Gangyong Jia, Wanzeng Kong, Qing Wu
2025 J jnl
Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks.
CoRR
Houliang Zhou, Rong Zhou, Yangying Liu, Kanhao Zhao, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer's Disease Neuroimaging Initiative
2024 J jnl
Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification.
IEEE Trans. Neural Networks Learn. Syst.
Shuang Liang, Wenlong Hang, Baiying Lei, Jun Wang, Jing Qin, Kup-Sze Choi, Yu Zhang
2024 — conf
An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment.
BIOSTEC (1)
Shuning Han, Zhe Sun, Kanhao Zhao, Feng Duan, Cesar F. Caiafa, Yu Zhang, Jordi Solé-Casals
2024 J jnl
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer's Disease.
Cogn. Comput.
Hao Jia, Zihao Huang, Cesar F. Caiafa, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals
2024 — conf
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.
MLCN@MICCAI
Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Kilian M. Pohl
2024 J jnl
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.
CoRR
Yixin Wang, Wei Peng, Yu Zhang, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl
2024 J jnl
Comparison of Machine Learning Models Using Diffusion-Weighted Images for Pathological Grade of Intrahepatic Mass-Forming Cholangiocarcinoma.
J. Imaging Inform. Medicine
Lihong Xing, Shuping Wang, Li-Yong Zhuo, Yu Zhang, Jia-Ning Wang, Ze-Peng Ma, Ying-Jia Zhao, Shuang-Rui Yuan, Qian-He Zu, Xiao-Ping Yin
2024 J jnl
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features.
J. Big Data
Lianyu Sui, Huan Meng, Jianing Wang, Wei Yang, Lulu Yang, Xudan Chen, Liyong Zhuo, Lihong Xing, Yu Zhang, Jingjing Cui, Xiaoping Yin
2024 J jnl
Enabling temporal-spectral decoding in multi-class single-side upper limb classification.
Eng. Appl. Artif. Intell.
Hao Jia, Shuning Han, Cesar F. Caiafa, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals
2024 — conf
Evaluating the Quality of Brain MRI Generators.
MICCAI (10)
Jiaqi Wu, Wei Peng, Binxu Li, Yu Zhang, Kilian M. Pohl
2024 — conf
Multi-modality Correlation Learning Network for Pediatric Ventricular Septal Defects Identification.
PRCV (15)
Feifei Jin, Cheng Zhao, Zhuo Xiang, Xunyi Chen, Yu Zhang, Shumin Fan, Luyao Zhou, Weiling Chen, Tianfu Wang, Baiying Lei
2024 — conf
Multimodality Frequency Feature Customized Learning for Pediatric Ventricular Septal Defects Identification.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Feifei Jin, Cheng Zhao, Peng Yang, Zhuo Xiang, Xunyi Chen, Yu Zhang, Shumin Fan, Luyao Zhou, Weiling Chen, Tianfu Wang, Baiying Lei
2024 J jnl
Normative Modeling for AD Diagnosis and Biomarker Identification.
CoRR
Songlin Zhao, Rong Zhou, Yu Zhang, Yong Chen, Lifang He
2024 — conf
Normative Modeling with Focal Loss and Adversarial Autoencoders for Alzheimer's Disease Diagnosis and Biomarker Identification.
AMAI@MICCAI
Songlin Zhao, Rong Zhou, Yu Zhang, Yong Chen, Lifang He
2024 J jnl
Predicting Risk Stratification in Early-Stage Endometrial Carcinoma: Significance of Multiparametric MRI Radiomics Model.
J. Imaging Inform. Medicine
Huan Meng, Yu-Feng Sun, Yu Zhang, Ya-Nan Yu, Jing Wang, Jia-Ning Wang, Lin-Yan Xue, Xiao-Ping Yin
2024 J jnl
Task Partitioning and Scheduling Based on Stochastic Policy Gradient in Mobile Crowdsensing.
IEEE Trans. Comput. Soc. Syst.
Tianjing Wang, Yu Zhang, Hang Shen, Guangwei Bai
2024 J jnl
XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG.
NeuroImage
Meng Jiao, Xiaochen Xian, Boyu Wang, Yu Zhang, Shihao Yang, Spencer C. Chen, Hai Sun, Feng Liu
2023 J jnl
A Fast and Lightweight Network for Low-Light Image Enhancement.
CoRR
Yu Zhang, Xiaoguang Di, Junde Wu, Rao Fu, Yong Li, Yue Wang, Yanwu Xu, Guohui Yang, Chunhui Wang
2023 J jnl
A Novel Nonconvex Low-Rank Tensor Completion Approach for Traffic Sensor Data Recovery From Incomplete Measurements.
IEEE Trans. Instrum. Meas.
Xiaobo Chen, Kaiyuan Wang, Zuoyong Li, Yu Zhang, Qiaolin Ye
2023 — conf
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics.
MICCAI (2)
Rong Zhou, Houliang Zhou, Brian Y. Chen, Li Shen, Yu Zhang, Lifang He
2023 — ed.
Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings
BI
Feng Liu, Yu Zhang, Hongzhi Kuai, Emily P. Stephen, Hongjun Wang
2023 J jnl
EEG-based emotion recognition with cascaded convolutional recurrent neural networks.
Pattern Anal. Appl.
Ming Meng, Yu Zhang, Yuliang Ma, Yunyuan Gao, Wanzeng Kong
2023 Misc conf
FedEEG: Federated EEG Decoding Via inter-Subject Structure Matching.
ICASSP
Wenlong Hang, Jiaxing Li, Shuang Liang, Yuan Wu, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi
2023 — conf
Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics.
BIBM
Rong Zhou, Houliang Zhou, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He
2023 — conf
Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics.
BIBM
Houliang Zhou, Yu Zhang, Lifang He, Li Shen, Brian Y. Chen
2023 J jnl
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer.
CoRR
Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu
2023 — conf
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model.
MIDL
Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu
2023 J jnl
Multi-Class Classification of Upper Limb Movements With Filter Bank Task-Related Component Analysis.
IEEE J. Biomed. Health Informatics
Hao Jia, Fan Feng, Cesar F. Caiafa, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals
2023 — conf
Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
ISBI
Xuetong Wang, Rong Zhou, Kanhao Zhao, Alex D. Leow, Yu Zhang, Lifang He
2023 J jnl
Privacy-Preserving Multi-Source Domain Adaptation for Medical Data.
IEEE J. Biomed. Health Informatics
Tianyi Han, Xiaoli Gong, Fan Feng, Jin Zhang, Zhe Sun, Yu Zhang
2023 J jnl
Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning.
Sensors
Caroline A. Ferguson, Yu Zhang, Cristiano Palego, Xuanhong Cheng
2023 J jnl
Single-Cell Classification Based on Population Nucleus Size Combining Microwave Impedance Spectroscopy and Machine Learning.
Sensors
Caroline A. Ferguson, James C. M. Hwang, Yu Zhang, Xuanhong Cheng
2023 J jnl
Sparse Bayesian Learning for End-to-End EEG Decoding.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenlong Wang, Feifei Qi, David Paul Wipf, Chang Cai, Tianyou Yu, Yuanqing Li, Yu Zhang, Zhuliang Yu, Wei Wu
2023 J jnl
Structure invariance-driven collaborative contrastive network for EEG decoding.
Biomed. Signal Process. Control.
Shuang Liang, Zengguang Li, Wenlong Hang, Yuanpeng Zhang, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi
2023 B conf
TMOVF: A Task-Agnostic Model Ownership Verification Framework.
SMC
Zhe Sun, Zhongyu Huang, Wangqi Zhao, Yu Zhang, Jianzhong Zhang
2022 J jnl
A Generalized Graph Regularized Non-Negative Tucker Decomposition Framework for Tensor Data Representation.
IEEE Trans. Cybern.
Yuning Qiu, Guoxu Zhou, Yanjiao Wang, Yu Zhang, Shengli Xie
2022 J jnl
A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS.
IEEE Trans. Cybern.
Chanlin Yi, Ruwei Yao, Liuyi Song, Lin Jiang, Yajing Si, Peiyang Li, Fali Li, Dezhong Yao, Yu Zhang, Peng Xu
2022 J jnl
A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD.
NeuroImage
Kanhao Zhao, Boris Duka, Hua Xie, Desmond J. Oathes, Vince D. Calhoun, Yu Zhang
2022 J jnl
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning.
CoRR
Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan
2022 — conf
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification.
MICCAI (1)
Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
2022 J jnl
Contrastive Graph Learning for Population-based fMRI Classification.
CoRR
Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
2022 J jnl
Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis.
Biomed. Signal Process. Control.
Liang Chang, Raofen Wang, Yu Zhang
2022 J jnl
Deep EEG feature learning via stacking common spatial pattern and support matrix machine.
Biomed. Signal Process. Control.
Shuang Liang, Wenlong Hang, Mingbo Yin, Hang Shen, Qiong Wang, Jing Qin, Kup-Sze Choi, Yu Zhang
2022 — conf
Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis.
MICCAI (8)
Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu
2022 J jnl
Enabling Temporal-Spectral Decoding in Pre-movement Detection.
CoRR
Hao Jia, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals
2022 J jnl
ExpNet: A unified network for Expert-Level Classification.
CoRR
Junde Wu, Huihui Fang, Yehui Yang, Yu Zhang, Haoyi Xiong, Huazhu Fu, Yanwu Xu
2022 J jnl
Feature Aggregation and Propagation Network for Camouflaged Object Detection.
CoRR
Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang
2022 J jnl
Feature Aggregation and Propagation Network for Camouflaged Object Detection.
IEEE Trans. Image Process.
Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang
2022 J jnl
Generative adversarial U-Net for domain-free few-shot medical diagnosis.
Pattern Recognit. Lett.
Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang
2022 J jnl
Improving EEG Decoding via Clustering-Based Multitask Feature Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
2022 J jnl
Improving Pre-movement Pattern Detection with Filter Bank Selection.
CoRR
Hao Jia, Zhe Sun, Feng Duan, Yu Zhang, Cesar F. Caiafa, Jordi Solé-Casals
2022 — conf
Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis.
ISBI
Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen
2022 J jnl
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis.
CoRR
Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen
2022 J jnl
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model.
CoRR
Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu
2022 J jnl
Modern Views of Machine Learning for Precision Psychiatry.
CoRR
Zhe Sage Chen, Prathamesh Kulkarni, Isaac R. Galatzer-Levy, Benedetta Bigio, Carla Nasca, Yu Zhang
2022 J jnl
Modern views of machine learning for precision psychiatry.
Patterns
Zhe S. Chen, Prathamesh Kulkarni, Isaac R. Galatzer-Levy, Benedetta Bigio, Carla Nasca, Yu Zhang
2022 J jnl
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis.
IEEE Trans. Cybern.
Yu Zhang, Han Zhang, Ehsan Adeli, Xiaobo Chen, Mingxia Liu, Dinggang Shen
2022 J jnl
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
CoRR
Xuetong Wang, Kanhao Zhao, Rong Zhou, Alex D. Leow, Ricardo Osorio, Yu Zhang, Lifang He
2022 A* conf
Policy Optimization with Stochastic Mirror Descent.
AAAI
Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan
2022 — conf
Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease.
MICCAI (8)
Houliang Zhou, Yu Zhang, Brian Y. Chen, Li Shen, Lifang He
2022 J jnl
Towards Multi-class Pre-movement Classification.
CoRR
Hao Jia, Zhe Sun, Feng Duan, Yu Zhang, Cesar F. Caiafa, Jordi Solé-Casals
2021 J jnl
A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition.
Entropy
Yangyang Dai, Feng Duan, Fan Feng, Zhe Sun, Yu Zhang, Cesar F. Caiafa, Pere Martí-Puig, Jordi Solé-Casals
2021 J jnl
Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank.
Multim. Tools Appl.
Yichun Qiu, Guoxu Zhou, Yu Zhang, Andrzej Cichocki
2021 J jnl
Decoding Premovement Patterns with Task-Related Component Analysis.
Cogn. Comput.
Feng Duan, Hao Jia, Zhe Sun, Kai Zhang, Yangyang Dai, Yu Zhang
2021 J jnl
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding.
Frontiers Comput. Neurosci.
Chun-Shu Wei, Corey J. Keller, Junhua Li, Yuan-Pin Lin, Masaki Nakanishi, Johanna Wagner, Wei Wu, Yu Zhang, Tzyy-Ping Jung
2021 J jnl
Generative Adversarial U-Net for Domain-free Medical Image Augmentation.
CoRR
Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang
2021 J jnl
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images.
Pattern Recognit.
Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang
2021 A* conf
On Convergence of Gradient Expected Sarsa(λ).
AAAI
Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
2021 — conf
RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net.
WISE (2)
Xiaocong Chen, Lina Yao, Yu Zhang
2021 A* conf
Sparse Multi-Path Corrections in Fringe Projection Profilometry.
CVPR
Yu Zhang, Daniel L. Lau, David Wipf
2020 J jnl
Deep graph regularized non-negative matrix factorization for multi-view clustering.
Neurocomputing
Jianqiang Li, Guoxu Zhou, Yuning Qiu, Yanjiao Wang, Yu Zhang, Shengli Xie
2020 J jnl
EEG classification using sparse Bayesian extreme learning machine for brain-computer interface.
Neural Comput. Appl.
Zhichao Jin, Guoxu Zhou, Daqi Gao, Yu Zhang
2020 J jnl
Improving EEG Decoding via Clustering-based Multi-task Feature Learning.
CoRR
Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
2020 — conf
M
MICCAI (2)
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
2020 J jnl
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.
CoRR
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
2020 J jnl
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images.
CoRR
Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang
2020 J jnl
Non-Negative Matrix Factorization With Dual Constraints for Image Clustering.
IEEE Trans. Syst. Man Cybern. Syst.
Zuyuan Yang, Yu Zhang, Yong Xiang, Wei Yan, Shengli Xie
2020 J jnl
On Convergence of Gradient Expected Sarsa(λ).
CoRR
Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
2020 J jnl
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images.
CoRR
Xiaocong Chen, Lina Yao, Yu Zhang
2019 J jnl
A Novel Hybrid-Jump-Based Sampling Method for Complex Social Networks.
IEEE Trans. Comput. Soc. Syst.
Lianggui Liu, Lingmin Wang, Wei Wu, Huiling Jia, Yu Zhang
2019 J jnl
A framework for quantum homomorphic encryption with experimental demonstration.
CoRR
Yu Zhang, Li Yu, Qi-Ping Su, Zhe Sun, Fuqun Wang, Xiao-Qiang Xu, Qingjun Xu, Jin-Shuang Jin, Kefei Chen, Chui-Ping Yang
2019 J jnl
Brain Network Construction and Classification Toolbox (BrainNetClass).
CoRR
Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen
2019 J jnl
Distributed filtering under false data injection attacks.
Autom.
Wen Yang, Yu Zhang, Guanrong Chen, Chao Yang, Ling Shi
2019 J jnl
Gradient Q(σ, λ): A Unified Algorithm with Function Approximation for Reinforcement Learning.
CoRR
Long Yang, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan
2019 Misc conf
Graph Regularized Nonnegative Tucker Decomposition for Tensor Data Representation.
ICASSP
Yuning Qiu, Guoxu Zhou, Yu Zhang, Shengli Xie
2019 J jnl
Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs.
Neural Networks
Yangsong Zhang, Erwei Yin, Fali Li, Yu Zhang, Daqing Guo, Dezhong Yao, Peng Xu
2019 — conf
Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction.
MICCAI (4)
Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao
2019 J jnl
Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface.
Int. J. Neural Syst.
Qiang Wu, Yu Zhang, Ju Liu, Jiande Sun, Andrzej Cichocki, Feng Gao
2019 J jnl
Sparse Group Representation Model for Motor Imagery EEG Classification.
IEEE J. Biomed. Health Informatics
Yong Jiao, Yu Zhang, Xun Chen, Erwei Yin, Jing Jin, Xingyu Wang, Andrzej Cichocki
2019 J jnl
Strength and similarity guided group-level brain functional network construction for MCI diagnosis.
Pattern Recognit.
Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Seong-Whan Lee, Dinggang Shen
2019 J jnl
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
IEEE Trans. Cybern.
Yu Zhang, Chang S. Nam, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
2018 J jnl
A Novel Multilayer Correlation Maximization Model for Improving CCA-Based Frequency Recognition in SSVEP Brain-Computer Interface.
Int. J. Neural Syst.
Yong Jiao, Yu Zhang, Yu Wang, Bei Wang, Jing Jin, Xingyu Wang
2018 — conf
A Wearable Wireless fNIRS System.
ICBBB
Yu Zhang, Xiong Zhang, Han Sun, Xuefei Zhong, Zhaowen Fan
2018 J jnl
Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification.
IEEE Access
Na Liu, Lihong Wan, Yu Zhang, Tao Zhou, Hong Huo, Tao Fang
2018 J jnl
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces.
Expert Syst. Appl.
Yu Zhang, Yu Wang, Guoxu Zhou, Jing Jin, Bei Wang, Xingyu Wang, Andrzej Cichocki
2018 J jnl
Online Power Scheduling for Distributed Filtering Over an Energy-Limited Sensor Network.
IEEE Trans. Ind. Electron.
Wen Yang, Yu Zhang, Chao Yang, Zongyu Zuo, Xiaofan Wang
2018 — conf
Shandong Normal University in the VTT Tasks at TRECVID 2018.
TRECVID
Cheng Liu, Min Gao, Jun Wang, Liming Zou, En Yu, Jiande Sun, Lingchen Gu, Xiaoxi Liu, Yu Lu, Yu Zhang, Xueqi Zhao
2017 — conf
A Comparison Between Two Motion-Onset Visual BCI Patterns: Diffusion vs Contraction.
ISNN (2)
Minqiang Huang, Hanhan Zhang, Jing Jin, Yu Zhang, Xingyu Wang
2017 J jnl
A Comparison Study on Multidomain EEG Features for Sleep Stage Classification.
Comput. Intell. Neurosci.
Yu Zhang, Bei Wang, Jing Jin, Jian Zhang, Junzhong Zou, Masatoshi Nakamura
2017 — conf
An Improved Visual-Tactile P300 Brain Computer Interface.
ICONIP (2)
Hongyan Sun, Jing Jin, Yu Zhang, Bei Wang, Xingyu Wang
2017 — conf
Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment.
CNI@MICCAI
Yu Zhang, Han Zhang, Xiaobo Chen, Dinggang Shen
2017 J jnl
Continuous use of ERP-based BCIs with different visual angles in ALS patients.
CoRR
Jing Jin, Brendan Z. Allison, Yu Zhang, Yan Chen, Sijie Zhou, Yi Dong, Xingyu Wang, Andrzej Cichocki
2017 J jnl
Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on EEG Signals During Daytime Short Nap.
IEEE Trans. Biomed. Eng.
Dong Qian, Bei Wang, Xiangyun Qing, Tao Zhang, Yu Zhang, Xingyu Wang, Masatoshi Nakamura
2017 — conf
Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis.
MLMI@MICCAI
Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen
2017 — conf
Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification.
ACPR
Xiaobo Chen, Han Zhang, Yu Zhang, Zuoyong Li, Dinggang Shen
2017 — conf
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.
MICCAI (3)
Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen
2017 J jnl
Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.
Int. J. Neural Syst.
Yu Zhang, Yu Wang, Jing Jin, Xingyu Wang
2017 J jnl
Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition.
Neurocomputing
Yu Zhang, Guoxu Zhou, Jing Jin, Yangsong Zhang, Xingyu Wang, Andrzej Cichocki
2016 J jnl
A Fast Non-Smooth Nonnegative Matrix Factorization for Learning Sparse Representation.
IEEE Access
Zuyuan Yang, Yu Zhang, Wei Yan, Yong Xiang, Shengli Xie
2016 — conf
An Online Gaze-Independent BCI System Used Dummy Face with Eyes Only Region as Stimulus.
HCI (13)
Long Chen, Brendan Z. Allison, Yu Zhang, Xingyu Wang, Jing Jin
2016 — conf
Comparisons of three BCIs which do not rely on the visual modality.
ICSAI
Zhaoyang Qiu, Jing Jin, Yu Zhang, Hongyan Sun, Xingyu Wang
2016 — conf
Exploring (C)overt attention for multi-objective gaze-independent BCIs, visual angle not exceeding 1 degree.
CCIS
Sijie Zhou, Long Chen, Yu Zhang, Jing Jin, Xingyu Wang
2016 J jnl
Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs.
Frontiers Comput. Neurosci.
Long Chen, Jing Jin, Ian Daly, Yu Zhang, Xingyu Wang, Andrzej Cichocki
2016 — conf
Exploring motion visual-evoked potentials for multi-objective gaze-independent brain-computer interfaces.
ICSAI
Sijie Zhou, Long Chen, Jing Jin, Yu Zhang, Xingyu Wang
2016 J jnl
Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation.
Neurocomputing
Yu Zhang, Guoxu Zhou, Qibin Zhao, Andrzej Cichocki, Xingyu Wang
2016 J jnl
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst.
Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo P. Mandic
2016 J jnl
Improved SFFS method for channel selection in motor imagery based BCI.
Neurocomputing
Zhaoyang Qiu, Jing Jin, Hak-Keung Lam, Yu Zhang, Xingyu Wang, Andrzej Cichocki
2016 J jnl
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data.
Proc. IEEE
Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki
2016 J jnl
Optimized motor imagery paradigm based on imagining Chinese characters writing movement.
CoRR
Zhaoyang Qiu, Brendan Z. Allison, Jing Jin, Yu Zhang, Xingyu Wang, Wei Li, Andrzej Cichocki
2016 Misc conf
Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion.
ICASSP
Yu Zhang, Qibin Zhao, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
2016 J jnl
Sparse Bayesian Classification of EEG for Brain-Computer Interface.
IEEE Trans. Neural Networks Learn. Syst.
Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki
2015 J jnl
A Novel EOG/EEG Hybrid Human-Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control.
IEEE Trans. Biomed. Eng.
Jiaxin Ma, Yu Zhang, Andrzej Cichocki, Fumitoshi Matsuno
2015 J jnl
A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm.
Int. J. Neural Syst.
Jing Jin, Eric W. Sellers, Sijie Zhou, Yu Zhang, Xingyu Wang, Andrzej Cichocki
2015 Misc conf
Design of a visual information-based brain-computer interface control system.
ICNC
Huiping Hu, Jing Jin, Yu Zhang, Xingyu Wang
2015 J jnl
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data.
CoRR
Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki
2014 J jnl
Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface.
Int. J. Neural Syst.
Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki
2014 J jnl
An ERP-Based BCI using an oddball Paradigm with Different Faces and Reduced errors in Critical Functions.
Int. J. Neural Syst.
Jing Jin, Brendan Z. Allison, Yu Zhang, Xingyu Wang, Andrzej Cichocki
2014 J jnl
An Efficient Frequency Recognition Method Based on Likelihood Ratio Test for SSVEP-Based BCI.
Comput. Math. Methods Medicine
Yangsong Zhang, Li Dong, Rui Zhang, Dezhong Yao, Yu Zhang, Peng Xu
2014 C conf
Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient.
ISNN
Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki
2014 J jnl
Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis.
Int. J. Neural Syst.
Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
2013 J jnl
Analysis and classification of speech imagery EEG for BCI.
Biomed. Signal Process. Control.
Li Wang, Xiong Zhang, Xuefei Zhong, Yu Zhang
2013 A conf
EOG/ERP hybrid human-machine interface for robot control.
IROS
Jiaxin Ma, Yu Zhang, Yunjun Nam, Andrzej Cichocki, Fumitoshi Matsuno
2012 J jnl
Assessment of human operator functional state using a novel differential evolution optimization based adaptive fuzzy model.
Biomed. Signal Process. Control.
Raofen Wang, Jianhua Zhang, Yu Zhang, Xingyu Wang
2012 C conf
Canonical Polyadic Decomposition: From 3-way to N-Way.
CIS
Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki
2012 J jnl
LASSO based stimulus frequency recognition model for SSVEP BCIs.
Biomed. Signal Process. Control.
Yu Zhang, Jing Jin, Xiangyun Qing, Bei Wang, Xingyu Wang
2012 — conf
Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI.
FSKD
Yu Zhang, Qibin Zhao, Guoxu Zhou, Xingyu Wang, Andrzej Cichocki
2011 — conf
A Novel Combination of Time Phase and EEG Frequency Components for SSVEP-Based BCI.
ICONIP (1)
Jing Jin, Yu Zhang, Xingyu Wang
2011 — conf
A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli.
ICONIP (1)
Qibin Zhao, Akinari Onishi, Yu Zhang, Jianting Cao, Liqing Zhang, Andrzej Cichocki
2011 — conf
Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs.
ICONIP (1)
Yu Zhang, Guoxu Zhou, Qibin Zhao, Akinari Onishi, Jing Jin, Xingyu Wang, Andrzej Cichocki