Qi Zhu

According to our database, Qi Zhu authored at least 85 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification.

Qi Zhu, Shengrong Li, Xiangshui Meng, Qiang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang

IEEE Trans. Medical Imaging, June, 2024

Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images.

Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, June, 2024

Dense Hybrid Attention Network for Palmprint Image Super-Resolution.

Yao Wang, Lunke Fei, Shuping Zhao, Qi Zhu, Jie Wen, Wei Jia, Imad Rida

IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis.

Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, April, 2024

A Self-Attention CycleGAN for Cross-Domain Semi-Supervised Contactless Palmprint Recognition.

Guangnan Xin, Min Zhu, Yuze Zhou, Guanyu Jiang, Zeyu Cai, Aoyu Pang, Qi Zhu

Int. J. Image Graph., March, 2024

MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation.

Liang Sun, Yanling Fu, Junyong Zhao, Wei Shao, Qi Zhu, Daoqiang Zhang

IEEE Trans. Image Process., 2024

Dynamic Confidence-Aware Multi-Modal Emotion Recognition.

Qi Zhu, Chuhang Zheng, Zheng Zhang, Wei Shao, Daoqiang Zhang

IEEE Trans. Affect. Comput., 2024

Global-local consistent semi-supervised segmentation of histopathological image with different perturbations.

Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao, Daoqiang Zhang, Peng Wan, Wei Shao

Pattern Recognit., 2024

Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization.

Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao

CoRR, 2024

Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning.

Yangyang Shi, Qi Zhu, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Aesthetics-Driven Active Reinforcement Learning for Color Enhancement.

Yuanhang Gao, Qi Zhu, Yutian Fu, Dong Liang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis.

Qi Zhu, Qiming Yang, Mingming Wang, Xiangyu Xu, Yuwu Lu, Wei Shao, Daoqiang Zhang

IEEE Trans. Big Data, December, 2023

Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.

Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, October, 2023

Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis.

Qiming Yang, Qi Zhu, Mingming Wang, Wei Shao, Zheng Zhang, Daoqiang Zhang

IEEE Trans. Big Data, October, 2023

FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers.

Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, September, 2023

Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images.

Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis.

Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang

IEEE Trans. Medical Imaging, May, 2023

Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder.

Qi Zhu, Jing Yang, Shuihua Wang, Daoqiang Zhang, Zheng Zhang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Markov chain modelling of ordered Rayleigh fading channels in non-orthogonal multiple access wireless networks.

Yunpei Chen, Dan Zhang, Qi Zhu

IET Signal Process., March, 2023

Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer's disease diagnosis.

Haizhou Ye, Qi Zhu, Yuan Yao, Yichao Jin, Daoqiang Zhang

Vis. Comput., 2023

Multi-Spectral Palmprints Joint Attack and Defense With Adversarial Examples Learning.

Qi Zhu, Yuze Zhou, Lunke Fei, Daoqiang Zhang, David Zhang

IEEE Trans. Inf. Forensics Secur., 2023

Contactless Palmprint Image Recognition Across Smartphones With Self-Paced CycleGAN.

Qi Zhu, Guangnan Xin, Lunke Fei, Dong Liang, Zheng Zhang, Daoqiang Zhang, David Zhang

IEEE Trans. Inf. Forensics Secur., 2023

A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis.

Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang

IEEE Trans. Cogn. Dev. Syst., 2023

Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction.

Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang

Pattern Recognit., 2023

Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition.

Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors.

Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis.

Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images.

Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Stacked Topological Preserving Dynamic Brain Networks Representation and Classification.

Qi Zhu, Ruting Xu, Ran Wang, Xijia Xu, Zhiqiang Zhang, Daoqiang Zhang

IEEE Trans. Medical Imaging, 2022

Multimodal Triplet Attention Network for Brain Disease Diagnosis.

Qi Zhu, Heyang Wang, Bingliang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang

IEEE Trans. Medical Imaging, 2022

Weighted Correlation Embedding Learning for Domain Adaptation.

Yuwu Lu, Qi Zhu, Bob Zhang, Zhihui Lai, Xuelong Li

IEEE Trans. Image Process., 2022

Incomplete multi-modal brain image fusion for epilepsy classification.

Qi Zhu, Huijie Li, Haizhou Ye, Zhiqiang Zhang, Ran Wang, Zizhu Fan, Daoqiang Zhang

Inf. Sci., 2022

Functional Brain Connectivity Hyper-Network Embedded with Structural Information for Epilepsy Diagnosis.

Geng Zhang, Qi Zhu, Jing Yang, Ruting Xu, Zhiqiang Zhang, Daoqiang Zhang

Int. J. Image Graph., 2022

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors.

Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis.

Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion.

Bingliang Xu, Haizhou Ye, Zheng Zhang, Daoqiang Zhang, Qi Zhu

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

An effective recognition approach for contactless palmprint.

Nuoya Xu, Qi Zhu, Xiangyu Xu, Daoqiang Zhang

Vis. Comput., 2021

Visual-guided attentive attributes embedding for zero-shot learning.

Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang

Neural Networks, 2021

GACDN: generative adversarial feature completion and diagnosis network for COVID-19.

Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang

BMC Medical Imaging, 2021

Semantic-Guided High-Order Region Attention Embedding for Zero-Shot Learning.

Rui Zhang, Xiangyu Xu, Qi Zhu

Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020

Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification.

Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang

IEEE J. Biomed. Health Informatics, 2020

Latent correlation embedded discriminative multi-modal data fusion.

Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Sheng-Jun Huang, Daoqiang Zhang

Signal Process., 2020

Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.

Zheng Zhang, Qi Zhu, Guo-Sen Xie, Yi Chen, Zhengming Li, Shuihua Wang

Neural Networks, 2020

Cross-spectral palmprint recognition with low-rank canonical correlation analysis.

Qi Zhu, Nuoya Xu, Zheng Zhang, Donghai Guan, Ran Wang, Daoqiang Zhang

Multim. Tools Appl., 2020

Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification.

Qi Zhu, Nuoya Xu, Sheng-Jun Huang, Jianjun Qian, Daoqiang Zhang

Int. J. Mach. Learn. Cybern., 2020

LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition.

Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang, Daoqiang Zhang

Inf. Sci., 2020

Unified Brain Network with Functional and Structural Data.

Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification.

Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang

IEEE J. Biomed. Health Informatics, 2019

Learning robust latent representation for discriminative regression.

Jinrong Cui, Qi Zhu, Ding Wang, Zuoyong Li

Pattern Recognit. Lett., 2019

An alternative to face image representation and classification.

Qi Zhu, Ning Yuan, Donghai Guan, Nuoya Xu, Huijie Li

Int. J. Mach. Learn. Cybern., 2019

Multi-modal AD classification via self-paced latent correlation analysis.

Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang

Neurocomputing, 2019

Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples.

Qi Zhu, Ning Yuan, Donghai Guan

Complex., 2019

Improved Procedures for Training Primal Wasserstein GANs.

Tao Zhang, Zhongnian Li, Qi Zhu, Daoqiang Zhang

Proceedings of the 2019 IEEE SmartWorld, 2019

Multi-spectral Palmprint Recognition with Deep Multi-view Representation Learning.

Xiangyu Xu, Nuoya Xu, Huijie Li, Qi Zhu

Proceedings of the Machine Learning and Intelligent Communications, 2019

Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia.

Huijie Li, Qi Zhu, Rui Zhang, Daoqiang Zhang

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

2018

Virtual dictionary based kernel sparse representation for face recognition.

Zizhu Fan, Da Zhang, Xin Wang, Qi Zhu, Yuan-Fang Wang

Pattern Recognit., 2018

Novel mislabeled training data detection algorithm.

Weiwei Yuan, Donghai Guan, Qi Zhu, Tinghuai Ma

Neural Comput. Appl., 2018

Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection.

Qi Zhu, Jiuwen Zhu, Mingxia Liu, Xijia Xu, Daoqiang Zhang

IEEE Access, 2018

2017

Multi-modal dimensionality reduction using effective distance.

Dan Zhang, Qi Zhu, Daoqiang Zhang

Neurocomputing, 2017

Self-paced learning for multi-modal fusion for alzheimer's disease diagnosis.

Ning Yuan, Donghai Guan, Qi Zhu, Weiwei Yuan

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Improved label noise identification by exploiting unlabeled data.

Hongqiang Wei, Qi Zhu, Donghai Guan, Weiwei Yuan, Asad Masood Khattak, Francis Chow

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

2016

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.

Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

A test sample oriented two-phase discriminative dictionary learning algorithm for face recognition.

Zhengming Li, Qi Zhu, Yan Chen

Intell. Data Anal., 2016

Sparse representation classification based on difference subspace.

Qi Zhu, Qingxiang Feng, Jiashuang Huang, Dan Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Pose-invariant face recognition using facial landmarks and Weber local descriptor.

Zheng Zhang, Long Wang, Qi Zhu, Shu-Kai Chen, Yan Chen

Knowl. Based Syst., 2015

L₀-norm sparse representation based on modified genetic algorithm for face recognition.

Zizhu Fan, Ming Ni, Qi Zhu, Chengli Sun, Lipan Kang

J. Vis. Commun. Image Represent., 2015

Noise modeling and representation based classification methods for face recognition.

Zheng Zhang, Long Wang, Qi Zhu, Zhonghua Liu, Yan Chen

Neurocomputing, 2015

Manifold discriminant regression learning for image classification.

Yuwu Lu, Zhihui Lai, Zizhu Fan, Jinrong Cui, Qi Zhu

Neurocomputing, 2015

Weighted sparse representation for face recognition.

Zizhu Fan, Ming Ni, Qi Zhu, Ergen Liu

Neurocomputing, 2015

Fast Sparse Representation Classification Using Transfer Learning.

Qi Zhu, Baisheng Dai, Zizhu Fan, Zheng Zhang

Proceedings of the Cloud Computing and Security - First International Conference, 2015

2014

A novel speech enhancement method based on constrained low-rank and sparse matrix decomposition.

Chengli Sun, Qi Zhu, Minghua Wan

Speech Commun., 2014

Modified minimum squared error algorithm for robust classification and face recognition experiments.

Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You, Hong Liu

Neurocomputing, 2014

Kernel sparse representation based classification for undersampled problem.

Zizhu Fan, Ming Ni, Qi Zhu, Yuwu Lu

Proceedings of the International Conference on Smart Computing, 2014

2013

Coarse to fine K nearest neighbor classifier.

Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu

Pattern Recognit. Lett., 2013

Multi-directional two-dimensional PCA with matching score level fusion for face recognition.

Qi Zhu, Yong Xu

Neural Comput. Appl., 2013

Image-based face verification and experiments.

Qi Zhu, Chengli Sun

Neural Comput. Appl., 2013

A simple and fast representation-based face recognition method.

Yong Xu, Qi Zhu

Neural Comput. Appl., 2013

Local minimum squared error for face and handwritten character recognition.

Zizhu Fan, Jinghua Wang, Qi Zhu, Xiaozhao Fang, Jinrong Cui, Chunhua Li

J. Electronic Imaging, 2013

Using the idea of the sparse representation to perform coarse-to-fine face recognition.

Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai

Inf. Sci., 2013

From the idea of "sparse representation" to a representation-based transformation method for feature extraction.

Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng-Shyang Pan

Neurocomputing, 2013

Design and Implementation of a Bimodal Face Recognition System.

Yong Xu, Jian Yang, Jiajie Xu, Qi Zhu, Zizhu Fan

Proceedings of the Intelligence Science and Big Data Engineering, 2013

Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features.

Qi Zhu, Yong Xu, Yuwu Lu, Jiajun Wen, Zizhu Fan, Zhengming Li

Proceedings of the Genetic and Evolutionary Computing, 2013

2012

Breast cancer diagnosis based on a kernel orthogonal transform.

Yong Xu, Qi Zhu, Jinghua Wang

Neural Comput. Appl., 2012

Kernel based sparse representation for face recognition.

Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments.

Yong Xu, Qi Zhu, David Zhang

Neurocomputing, 2011