Qi Zhu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 67

Top Topics

Disease Diagnosis

Top Venues

IEEE Trans. Medical Imaging

Pattern Recognit.

IEEE Trans. Big Data

Publications

Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. IEEE Trans. Medical Imaging 43 (6) (2024)
Yuanhang Gao, Qi Zhu, Yutian Fu, Dong Liang
Aesthetics-Driven Active Reinforcement Learning for Color Enhancement. ICIC (11) (2024)
Guangnan Xin, Min Zhu, Yuze Zhou, Guanyu Jiang, Zeyu Cai, Aoyu Pang, Qi Zhu
A Self-Attention CycleGAN for Cross-Domain Semi-Supervised Contactless Palmprint Recognition. Int. J. Image Graph. 24 (2) (2024)
Yao Wang, Lunke Fei, Shuping Zhao, Qi Zhu, Jie Wen, Wei Jia, Imad Rida
Dense Hybrid Attention Network for Palmprint Image Super-Resolution. IEEE Trans. Syst. Man Cybern. Syst. 54 (4) (2024)
Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao
Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization. CoRR (2024)
Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao, Daoqiang Zhang, Peng Wan, Wei Shao
Global-local consistent semi-supervised segmentation of histopathological image with different perturbations. Pattern Recognit. 155 (2024)
Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang
Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis. IEEE Trans. Medical Imaging 43 (4) (2024)
Qi Zhu, Shengrong Li, Xiangshui Meng, Qiang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification. IEEE Trans. Medical Imaging 43 (6) (2024)
Liang Sun, Yanling Fu, Junyong Zhao, Wei Shao, Qi Zhu, Daoqiang Zhang
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. IEEE Trans. Image Process. 33 (2024)
Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang
Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. MICCAI (5) (2023)
Haizhou Ye, Qi Zhu, Yuan Yao, Yichao Jin, Daoqiang Zhang
Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer's disease diagnosis. Vis. Comput. 39 (6) (2023)
Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu
Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. MICCAI (8) (2023)
Qiming Yang, Qi Zhu, Mingming Wang, Wei Shao, Zheng Zhang, Daoqiang Zhang
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. IEEE Trans. Big Data 9 (5) (2023)
Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133 (2023)
Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. IEEE Trans. Medical Imaging 42 (9) (2023)
Qi Zhu, Qiming Yang, Mingming Wang, Xiangyu Xu, Yuwu Lu, Wei Shao, Daoqiang Zhang
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis. IEEE Trans. Big Data 9 (6) (2023)
Qi Zhu, Yuze Zhou, Lunke Fei, Daoqiang Zhang, David Zhang
Multi-Spectral Palmprints Joint Attack and Defense With Adversarial Examples Learning. IEEE Trans. Instrum. Meas. 72 (2023)
Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang
A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. 15 (2) (2023)
Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (6) (2023)
Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42 (5) (2023)
Qi Zhu, Yuze Zhou, Lunke Fei, Daoqiang Zhang, David Zhang
Multi-Spectral Palmprints Joint Attack and Defense With Adversarial Examples Learning. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Trans. Medical Imaging 42 (10) (2023)
Yunpei Chen, Dan Zhang, Qi Zhu
Markov chain modelling of ordered Rayleigh fading channels in non-orthogonal multiple access wireless networks. IET Signal Process. 17 (3) (2023)
Qi Zhu, Guangnan Xin, Lunke Fei, Dong Liang, Zheng Zhang, Daoqiang Zhang, David Zhang
Contactless Palmprint Image Recognition Across Smartphones With Self-Paced CycleGAN. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images. IPMI (2023)
Qi Zhu, Jing Yang, Shuihua Wang, Daoqiang Zhang, Zheng Zhang
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder. IEEE Trans. Emerg. Top. Comput. Intell. 7 (2) (2023)
Geng Zhang, Qi Zhu, Jing Yang, Ruting Xu, Zhiqiang Zhang, Daoqiang Zhang
Functional Brain Connectivity Hyper-Network Embedded with Structural Information for Epilepsy Diagnosis. Int. J. Image Graph. 22 (4) (2022)
Qi Zhu, Huijie Li, Haizhou Ye, Zhiqiang Zhang, Ran Wang, Zizhu Fan, Daoqiang Zhang
Incomplete multi-modal brain image fusion for epilepsy classification. Inf. Sci. 582 (2022)
Qi Zhu, Ruting Xu, Ran Wang, Xijia Xu, Zhiqiang Zhang, Daoqiang Zhang
Stacked Topological Preserving Dynamic Brain Networks Representation and Classification. IEEE Trans. Medical Imaging 41 (11) (2022)
Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (2) (2022)
Bingliang Xu, Haizhou Ye, Zheng Zhang, Daoqiang Zhang, Qi Zhu
Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion. APWeb/WAIM (2) (2022)
Qi Zhu, Heyang Wang, Bingliang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang
Multimodal Triplet Attention Network for Brain Disease Diagnosis. IEEE Trans. Medical Imaging 41 (12) (2022)
Yuwu Lu, Qi Zhu, Bob Zhang, Zhihui Lai, Xuelong Li
Weighted Correlation Embedding Learning for Domain Adaptation. IEEE Trans. Image Process. 31 (2022)
Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang
GACDN: generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging 21 (1) (2021)
Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang
Visual-guided attentive attributes embedding for zero-shot learning. Neural Networks 143 (2021)
Rui Zhang, Xiangyu Xu, Qi Zhu
Semantic-Guided High-Order Region Attention Embedding for Zero-Shot Learning. ICACI (2021)
Nuoya Xu, Qi Zhu, Xiangyu Xu, Daoqiang Zhang
An effective recognition approach for contactless palmprint. Vis. Comput. 37 (4) (2021)
Qi Zhu, Nuoya Xu, Sheng-Jun Huang, Jianjun Qian, Daoqiang Zhang
Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. Int. J. Mach. Learn. Cybern. 11 (2) (2020)
Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang, Daoqiang Zhang
LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition. Inf. Sci. 539 (2020)
Qi Zhu, Nuoya Xu, Zheng Zhang, Donghai Guan, Ran Wang, Daoqiang Zhang
Cross-spectral palmprint recognition with low-rank canonical correlation analysis. Multim. Tools Appl. 79 (45-46) (2020)
Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang
Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang
Unified Brain Network with Functional and Structural Data. MICCAI (7) (2020)
Zheng Zhang, Qi Zhu, Guo-Sen Xie, Yi Chen, Zhengming Li, Shuihua Wang
Discriminative margin-sensitive autoencoder for collective multi-view disease analysis. Neural Networks 123 (2020)
Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Sheng-Jun Huang, Daoqiang Zhang
Latent correlation embedded discriminative multi-modal data fusion. Signal Process. 171 (2020)
Qi Zhu, Ning Yuan, Donghai Guan, Nuoya Xu, Huijie Li
An alternative to face image representation and classification. Int. J. Mach. Learn. Cybern. 10 (7) (2019)
Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang
Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing 355 (2019)
Huijie Li, Qi Zhu, Rui Zhang, Daoqiang Zhang
Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. IScIDE (2) (2019)
Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Xiangyu Xu, Nuoya Xu, Huijie Li, Qi Zhu
Multi-spectral Palmprint Recognition with Deep Multi-view Representation Learning. MLICOM (2019)
Jinrong Cui, Qi Zhu, Ding Wang, Zuoyong Li
Learning robust latent representation for discriminative regression. Pattern Recognit. Lett. 117 (2019)
Tao Zhang, Zhongnian Li, Qi Zhu, Daoqiang Zhang
Improved Procedures for Training Primal Wasserstein GANs. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Qi Zhu, Ning Yuan, Donghai Guan
Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples. Complex. 2019 (2019)
Weiwei Yuan, Donghai Guan, Qi Zhu, Tinghuai Ma
Novel mislabeled training data detection algorithm. Neural Comput. Appl. 29 (10) (2018)
Qi Zhu, Jiuwen Zhu, Mingxia Liu, Xijia Xu, Daoqiang Zhang
Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access 6 (2018)
Zizhu Fan, Da Zhang, Xin Wang, Qi Zhu, Yuan-Fang Wang
Virtual dictionary based kernel sparse representation for face recognition. Pattern Recognit. 76 (2018)
Ning Yuan, Donghai Guan, Qi Zhu, Weiwei Yuan
Self-paced learning for multi-modal fusion for alzheimer's disease diagnosis. SPAC (2017)
Dan Zhang, Qi Zhu, Daoqiang Zhang
Multi-modal dimensionality reduction using effective distance. Neurocomputing 259 (2017)
Hongqiang Wei, Qi Zhu, Donghai Guan, Weiwei Yuan, Asad Masood Khattak, Francis Chow
Improved label noise identification by exploiting unlabeled data. SPAC (2017)
Zhengming Li, Qi Zhu, Yan Chen
A test sample oriented two-phase discriminative dictionary learning algorithm for face recognition. Intell. Data Anal. 20 (6) (2016)
Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu
A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (2) (2016)
Zheng Zhang, Long Wang, Qi Zhu, Zhonghua Liu, Yan Chen
Noise modeling and representation based classification methods for face recognition. Neurocomputing 148 (2015)
Zizhu Fan, Ming Ni, Qi Zhu, Ergen Liu
Weighted sparse representation for face recognition. Neurocomputing 151 (2015)
Zizhu Fan, Ming Ni, Qi Zhu, Chengli Sun, Lipan Kang
-norm sparse representation based on modified genetic algorithm for face recognition. J. Vis. Commun. Image Represent. 28 (2015)
Qi Zhu, Baisheng Dai, Zizhu Fan, Zheng Zhang
Fast Sparse Representation Classification Using Transfer Learning. ICCCS (2015)
Yuwu Lu, Zhihui Lai, Zizhu Fan, Jinrong Cui, Qi Zhu
Manifold discriminant regression learning for image classification. Neurocomputing 166 (2015)
Zheng Zhang, Long Wang, Qi Zhu, Shu-Kai Chen, Yan Chen
Pose-invariant face recognition using facial landmarks and Weber local descriptor. Knowl. Based Syst. 84 (2015)
Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You, Hong Liu
Modified minimum squared error algorithm for robust classification and face recognition experiments. Neurocomputing 135 (2014)
Chengli Sun, Qi Zhu, Minghua Wan
A novel speech enhancement method based on constrained low-rank and sparse matrix decomposition. Speech Commun. 60 (2014)
Zizhu Fan, Ming Ni, Qi Zhu, Yuwu Lu
Kernel sparse representation based classification for undersampled problem. SMARTCOMP (2014)
Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu
Coarse to fine K nearest neighbor classifier. Pattern Recognit. Lett. 34 (9) (2013)
Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai
Using the idea of the sparse representation to perform coarse-to-fine face recognition. Inf. Sci. 238 (2013)
Qi Zhu, Yong Xu
Multi-directional two-dimensional PCA with matching score level fusion for face recognition. Neural Comput. Appl. 23 (1) (2013)
Yong Xu, Jian Yang, Jiajie Xu, Qi Zhu, Zizhu Fan
Design and Implementation of a Bimodal Face Recognition System. IScIDE (2013)
Zizhu Fan, Jinghua Wang, Qi Zhu, Xiaozhao Fang, Jinrong Cui, Chunhua Li
Local minimum squared error for face and handwritten character recognition. J. Electronic Imaging 22 (3) (2013)
Yong Xu, Qi Zhu
A simple and fast representation-based face recognition method. Neural Comput. Appl. 22 (7-8) (2013)
Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng-Shyang Pan
From the idea of "sparse representation" to a representation-based transformation method for feature extraction. Neurocomputing 113 (2013)
Qi Zhu, Yong Xu, Yuwu Lu, Jiajun Wen, Zizhu Fan, Zhengming Li
Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features. ICGEC (2013)
Qi Zhu, Chengli Sun
Image-based face verification and experiments. Neural Comput. Appl. 23 (3-4) (2013)
Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan
Kernel based sparse representation for face recognition. ICPR (2012)
Yong Xu, Qi Zhu, Jinghua Wang
Breast cancer diagnosis based on a kernel orthogonal transform. Neural Comput. Appl. 21 (8) (2012)
Yong Xu, Qi Zhu, David Zhang
Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments. Neurocomputing 74 (18) (2011)