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Qi Zhu 0001
Person information
- affiliation: Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Technology, China
- affiliation (PhD 2014): Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Center, China
Other persons with the same name
- Qi Zhu — disambiguation page
- Qi Zhu 0002
— Northwestern University, Department of Electrical Engineering and Computer Science, USA (and 4 more)
- Qi Zhu 0003
- Qi Zhu 0004 — National University of Defense Technology, College of Mechatronics and Automation, Changsha, China
- Qi Zhu 0005
- Qi Zhu 0006
- Qi Zhu 0007 — Beijing National Research Center for Information Science and Technology, Institute for Artificial Intelligence, China (and 1 more)
- Qi Zhu 0008
- Qi Zhu 0009 — National Oceanic and Atmospheric Administration, NOAA, Center for Satellite Applications and Research, National Environmental Satellite, Data, and Information Service, NESDIS, MD, USA
- Qi Zhu 0010
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2020 – today
- 2024
- [j62]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): 2450025:1-2450025:13 (2024) - [j61]Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao
Global-local consistent semi-supervised segmentation of histopathological image with different perturbations. Pattern Recognit. 155: 110696 (2024) - [j60]Qi Zhu
Dynamic Confidence-Aware Multi-Modal Emotion Recognition. IEEE Trans. Affect. Comput. 15(3): 1358-1370 (2024) - [j59]Liang Sun
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. IEEE Trans. Image Process. 33: 4319-4333 (2024) - [j58]Kai Ma
Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis. IEEE Trans. Medical Imaging 43(4): 1526-1538 (2024) - [j57]Wei Shao
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. IEEE Trans. Medical Imaging 43(6): 2266-2278 (2024) - [j56]Qi Zhu
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification. IEEE Trans. Medical Imaging 43(6): 2381-2394 (2024) - [j55]Yao Wang
Dense Hybrid Attention Network for Palmprint Image Super-Resolution. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2590-2602 (2024) - [c22]Yuanhang Gao, Qi Zhu, Yutian Fu, Dong Liang:
Aesthetics-Driven Active Reinforcement Learning for Color Enhancement. ICIC (11) 2024: 289-300 - [c21]Yangyang Shi, Qi Zhu, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao:
Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning. MLMI@MICCAI (2) 2024: 212-221 - [i1]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 abs/2406.12229 (2024) - 2023
- [j54]Yunpei Chen
Markov chain modelling of ordered Rayleigh fading channels in non-orthogonal multiple access wireless networks. IET Signal Process. 17(3) (2023) - [j53]Liang Sun
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133: 109029 (2023) - [j52]Qi Zhu
A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. 15(2): 675-689 (2023) - [j51]Qiming Yang
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. IEEE Trans. Big Data 9(5): 1334-1346 (2023) - [j50]Qi Zhu
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis. IEEE Trans. Big Data 9(6): 1575-1585 (2023) - [j49]Qi Zhu
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 436-446 (2023) - [j48]Qi Zhu
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 887-899 (2023) - [j47]Qi Zhu
Multi-Spectral Palmprints Joint Attack and Defense With Adversarial Examples Learning. IEEE Trans. Inf. Forensics Secur. 18: 1789-1799 (2023) - [j46]Qi Zhu
Contactless Palmprint Image Recognition Across Smartphones With Self-Paced CycleGAN. IEEE Trans. Inf. Forensics Secur. 18: 4944-4954 (2023) - [j45]Qi Zhu
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42(5): 1472-1483 (2023) - [j44]Wei Shao
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. IEEE Trans. Medical Imaging 42(9): 2552-2565 (2023) - [j43]Wei Shao
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Trans. Medical Imaging 42(10): 3025-3035 (2023) - [j42]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): 2235-2244 (2023) - [c20]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: 145-157 - [c19]Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang:
Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. MICCAI (5) 2023: 168-177 - [c18]Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu:
Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. MICCAI (8) 2023: 389-398 - [c17]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: 612-621 - [e1]Reinhard von Hanxleden, Stephen A. Edwards, Jens Brandt, Qi Zhu:
21st ACM-IEEE International Symposium on Formal Methods and Models for System Design, MEMOCODE 2023, Hamburg, Germany, September 21-22, 2023. ACM / IEEE 2023, ISBN 979-8-4007-0318-8 [contents] - 2022
- [j41]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): 2250029:1-2250029:19 (2022) - [j40]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: 316-333 (2022) - [j39]Yuwu Lu
Weighted Correlation Embedding Learning for Domain Adaptation. IEEE Trans. Image Process. 31: 5303-5316 (2022) - [j38]Qi Zhu
Stacked Topological Preserving Dynamic Brain Networks Representation and Classification. IEEE Trans. Medical Imaging 41(11): 3473-3484 (2022) - [j37]Qi Zhu
Multimodal Triplet Attention Network for Brain Disease Diagnosis. IEEE Trans. Medical Imaging 41(12): 3884-3894 (2022) - [c16]Bingliang Xu, Haizhou Ye, Zheng Zhang
Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion. APWeb/WAIM (2) 2022: 529-537 - [c15]Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang:
Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis. MICCAI (3) 2022: 186-195 - [c14]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: 222-231 - 2021
- [j36]Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi
GACDN: generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging 21(1): 154 (2021) - [j35]Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang:
Visual-guided attentive attributes embedding for zero-shot learning. Neural Networks 143: 709-718 (2021) - [j34]Nuoya Xu, Qi Zhu, Xiangyu Xu, Daoqiang Zhang:
An effective recognition approach for contactless palmprint. Vis. Comput. 37(4): 695-705 (2021) - [c13]Rui Zhang, Xiangyu Xu, Qi Zhu:
Semantic-Guided High-Order Region Attention Embedding for Zero-Shot Learning. ICACI 2021: 266-272 - 2020
- [j33]Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang
LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition. Inf. Sci. 539: 522-535 (2020) - [j32]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): 463-474 (2020) - [j31]Qi Zhu, Nuoya Xu, Zheng Zhang
Cross-spectral palmprint recognition with low-rank canonical correlation analysis. Multim. Tools Appl. 79(45-46): 33771-33792 (2020) - [j30]Zheng Zhang
Discriminative margin-sensitive autoencoder for collective multi-view disease analysis. Neural Networks 123: 94-107 (2020) - [j29]Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang
Latent correlation embedded discriminative multi-modal data fusion. Signal Process. 171: 107466 (2020) - [j28]Jiashuang Huang
Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. IEEE J. Biomed. Health Informatics 24(9): 2609-2620 (2020) - [c12]Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang:
Unified Brain Network with Functional and Structural Data. MICCAI (7) 2020: 114-123
2010 – 2019
- 2019
- [j27]Qi Zhu, Ning Yuan, Donghai Guan
Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples. Complex. 2019: 8127869:1-8127869:10 (2019) - [j26]Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang:
Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing 355: 143-154 (2019) - [j25]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): 1581-1589 (2019) - [j24]Jinrong Cui, Qi Zhu, Ding Wang, Zuoyong Li:
Learning robust latent representation for discriminative regression. Pattern Recognit. Lett. 117: 193-200 (2019) - [j23]Jiashuang Huang
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. IEEE J. Biomed. Health Informatics 23(1): 342-350 (2019) - [c11]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: 356-368 - [c10]Xiangyu Xu, Nuoya Xu, Huijie Li, Qi Zhu:
Multi-spectral Palmprint Recognition with Deep Multi-view Representation Learning. MLICOM 2019: 748-758 - [c9]Tao Zhang, Zhongnian Li, Qi Zhu, Daoqiang Zhang:
Improved Procedures for Training Primal Wasserstein GANs. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1601-1607 - 2018
- [j22]Qi Zhu
Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access 6: 78065-78076 (2018) - [j21]Weiwei Yuan, Donghai Guan, Qi Zhu, Tinghuai Ma:
Novel mislabeled training data detection algorithm. Neural Comput. Appl. 29(10): 673-683 (2018) - [j20]Zizhu Fan, Da Zhang, Xin Wang, Qi Zhu, Yuan-Fang Wang:
Virtual dictionary based kernel sparse representation for face recognition. Pattern Recognit. 76: 1-13 (2018) - 2017
- [j19]Dan Zhang, Qi Zhu, Daoqiang Zhang:
Multi-modal dimensionality reduction using effective distance. Neurocomputing 259: 130-139 (2017) - [c8]Ning Yuan, Donghai Guan, Qi Zhu, Weiwei Yuan:
Self-paced learning for multi-modal fusion for alzheimer's disease diagnosis. SPAC 2017: 1-6 - [c7]Hongqiang Wei, Qi Zhu, Donghai Guan, Weiwei Yuan, Asad Masood Khattak, Francis Chow:
Improved label noise identification by exploiting unlabeled data. SPAC 2017: 284-289 - 2016
- [j18]Zhengming Li, Qi Zhu, Yan Chen:
A test sample oriented two-phase discriminative dictionary learning algorithm for face recognition. Intell. Data Anal. 20(6): 1405-1423 (2016) - [j17]Jin-Xing Liu
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): 392-398 (2016) - [c6]Qi Zhu, Qingxiang Feng, Jiashuang Huang, Dan Zhang:
Sparse representation classification based on difference subspace. CEC 2016: 4244-4249 - 2015
- [j16]Zheng Zhang
Noise modeling and representation based classification methods for face recognition. Neurocomputing 148: 420-429 (2015) - [j15]Zizhu Fan, Ming Ni, Qi Zhu, Ergen Liu:
Weighted sparse representation for face recognition. Neurocomputing 151: 304-309 (2015) - [j14]Yuwu Lu, Zhihui Lai, Zizhu Fan, Jinrong Cui, Qi Zhu:
Manifold discriminant regression learning for image classification. Neurocomputing 166: 475-486 (2015) - [j13]Zizhu Fan, Ming Ni, Qi Zhu, Chengli Sun, Lipan Kang:
L0-norm sparse representation based on modified genetic algorithm for face recognition. J. Vis. Commun. Image Represent. 28: 15-20 (2015) - [j12]Zheng Zhang
Pose-invariant face recognition using facial landmarks and Weber local descriptor. Knowl. Based Syst. 84: 78-88 (2015) - [c5]Qi Zhu, Baisheng Dai, Zizhu Fan, Zheng Zhang
Fast Sparse Representation Classification Using Transfer Learning. ICCCS 2015: 501-509 - 2014
- [j11]Yong Xu, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You
Modified minimum squared error algorithm for robust classification and face recognition experiments. Neurocomputing 135: 253-261 (2014) - [j10]Chengli Sun, Qi Zhu, Minghua Wan:
A novel speech enhancement method based on constrained low-rank and sparse matrix decomposition. Speech Commun. 60: 44-55 (2014) - [c4]Zizhu Fan, Ming Ni, Qi Zhu, Yuwu Lu:
Kernel sparse representation based classification for undersampled problem. SMARTCOMP 2014: 54-58 - 2013
- [j9]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: 168-176 (2013) - [j8]Yong Xu, Qi Zhu, Zizhu Fan, David Zhang
Using the idea of the sparse representation to perform coarse-to-fine face recognition. Inf. Sci. 238: 138-148 (2013) - [j7]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): 033027 (2013) - [j6]Yong Xu, Qi Zhu:
A simple and fast representation-based face recognition method. Neural Comput. Appl. 22(7-8): 1543-1549 (2013) - [j5]Qi Zhu, Yong Xu:
Multi-directional two-dimensional PCA with matching score level fusion for face recognition. Neural Comput. Appl. 23(1): 169-174 (2013) - [j4]Qi Zhu, Chengli Sun:
Image-based face verification and experiments. Neural Comput. Appl. 23(3-4): 947-956 (2013) - [j3]Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu:
Coarse to fine K nearest neighbor classifier. Pattern Recognit. Lett. 34(9): 980-986 (2013) - [c3]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: 349-357 - [c2]Yong Xu, Jian Yang, Jiajie Xu, Qi Zhu, Zizhu Fan:
Design and Implementation of a Bimodal Face Recognition System. IScIDE 2013: 457-464 - 2012
- [j2]Yong Xu, Qi Zhu, Jinghua Wang:
Breast cancer diagnosis based on a kernel orthogonal transform. Neural Comput. Appl. 21(8): 1865-1870 (2012) - [c1]Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan:
Kernel based sparse representation for face recognition. ICPR 2012: 1703-1706 - 2011
- [j1]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): 3946-3952 (2011)
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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