个人简历

已发表论文70余篇，其中SCI期刊论文50余篇（已被引用1300余次）。
所指导学生获得了江苏省计算机学会优秀硕士论文，江苏省人工智能学会优秀硕士论文提名，多人次获得南航优秀硕士论文。
2010/03-2014/04，哈尔滨工业大学，计算机应用技术，博士
2007/09-2010/01，哈尔滨工业大学，计算机科学与技术，硕士
2003/09-2007/07，哈尔滨工业大学，计算机科学与技术，学士
科研成果获奖及专利：
•江西省自然科学奖(二等奖)，2018
•深圳市自然科学奖，2013
•国际会议ICGEC最佳论文奖，2013
•教育部“博士研究生学术新人奖”，2012
•申请多项专利
承担的科研项目情况：
1. 国家自然科学基金面上项目 主持
2. 国家自然基金青年科学基金项目，主持
3. 江苏省自然科学基金青年项目，主持
4. 中国博士后基金（一等），主持
5. 江苏省博士后基金，主持
6. 高维信息智能感知与系统教育部重点实验室开放课题项目，主持
7. 南京航空航天大学青年教师科研启动基金项目，主持
8. 华为智能网络开发，参与
9. 华为智能AI框架开发，参与
10. 国家重点研发计划课题，参与
11. 国家重大科技专项课题，参与
12 国家自然科学基金面上项目，61370163、参与
13. 国家自然科学基金面上项目，61071179、参与。
14. 国家自然基金青年科学基金项目，61105054 参与
15. 国家自然基金面上项目，61273094 参与。
教育经历
2010.3 -- 2014.3哈尔滨工业大学 计算机应用技术 博士研究生毕业 工学博士学位
2007.9 -- 2009.12哈尔滨工业大学 计算机科学与技术 硕士研究生毕业 工学硕士学位
2003.9 -- 2007.7哈尔滨工业大学 计算机科学与技术 大学本科毕业 工学学士学位
科研项目
[1] 多模态脑影像数据融合算法及其应用研究
[2] 融合知识图谱的消化道疾病传播关键特征分析
[3] 项目开发
[4] 基于自调进度稀疏表示的人脸识别算法研究
[5] Lp范数约束的自调进度学习算法研究
[6] 基于自定步调学习的稀疏表示人脸识别算法研究
[7] 大规模人脸图像数据的分类方法研究
[8] 面向线性表示分类方法的特征抽取问题研究
[9] 认知驱动的模式分析方法研究
[10] 基于自调进度稀疏表示的图像识别算法研究
[11] 不确定数据分类学习的支持向量机算法研究
[12] 基于图像描述的识别方法设计与实验验证
[13] 教育部博士研究生学术新人项目
获奖信息
[1] 江西省自然科学奖
[2] 深圳市自然科学奖
[3] 博士研究生国家奖学金
[4] 教育部博士研究生学术新人奖
[5] ICGEC国际会议最佳论文奖

研究领域

人工智能，机器学习，模式识别，医学影像分析"模式识别、生物特征识别"

近期论文

[1] Qi Zhu, Huijie Li, Haizhou Ye, Zhiqiang Zhang, Ran Wang, Zizhu Fan, Daoqiang Zhang. Incomplete Multi-Modal Brain Image Fusion for Epilepsy Classification. Information Sciences, 2021 （SCI）
[2] Qi Zhu, Jing Yang, Bingliang Xu, Zhenghua Hou, Liang Sun, Daoqiang Zhang. Multimodal Brain Network Jointly Construction and Fusion for Diagnosis of Epilepsy. Frontiers in Neuroscience, 1121 （SCI）
[3] Rui Zhang, Qi Zhu,, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang. Visual-guided attentive attributes embedding for zero-shot learning. Neural Networks, 2021, 143: 709--718 （SCI）
[4] Kai Ma, Wei Shao, Qi Zhu, Daoqiang Zhang. Kernel based statistic: Identifying topological differences in brain networks. Intelligent Medicine, 2021
[5] Geng Zhang, Qi Zhu, Jing Yang, Ruting Xu, Zhiqiang Zhang, Daoqiang Zhang. Functional Brain Connectivity Hyper-Network Embedded with Structural Information for Epilepsy Diagnosis. International Journal of Image and Graphics, 2021: 2250029 （EI）
[6] Nuoya Xu, Qi Zhu, Xiangyu Xu, Daoqiang Zhang. An effective recognition approach for contactless palmprint. The Visual Computer, 123,94-107(2020) （SCI）
[7] Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Shengjun Huang, Daoqiang Zhang. Latent correlation embedded discriminative multi-modal data fusion. Signal Processing, 2020, 171: 107466 （SCI）
[8] 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. INFORMATION SCIENCES, 539(2020) 522-535 （SCI）
[9] Zhang Zheng, Qi Zhu, Xie Guosen, Chen Yi, Li Zhengming, Wang Shuihua. Discriminative margin-sensitive autoencoder for collective multi-view disease analysis. Neural Networks, 2020, 123: 94--107 （SCI）
[10] Qi Zhu, Nuoya Xu, Shengjun Huang, Jianjun Qian, Daoqiang Zhang. Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. International Journal of Machine Learning and Cybernetics, 2020, 11(2): 463--474 （SCI）
[11] Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang. Coherent Pattern in Multi-layer Brain Networks: Application to Epilepsy Identification. IEEE Journal of Biomedical and Health Informatics, 2020: 1--12 （SCI）
[12] Qi Zhu, Nuoya Xu, Zheng Zhang, Donghai Guan, Ran Wang, Daoqiang Zhang. Cross-spectral palmprint recognition with low-rank canonical correlation analysis. Multimedia Tools and Applications, 2019: 1--22（SCI）
[13] Zhu Qi, Yuan Ning, Huang Jiashuang, Hao Xiaoke, Zhang Daoqiang. Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing, 2019, 355: 143--154（SCI）
[14] Qi Zhu, Ning Yuan, Donghai Guan, Nuoya Xu, Huijie Li. An alternative to face image representation and classification. International Journal of Machine Learning and Cybernetics, 2019, 10(7): 1581--1589（SCI）
[15] Qi Zhu, Huijie Li, Jiashuang Huang, Xijia Xu, Donghai Guan, Daoqiang Zhang. Hybrid Functional Brain Network With First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. Frontiers in Neuroscience, 2019, 13: 603（SCI）
[16] Qi Zhu, Ning Yuan,, Donghai Guan. Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples. Complexity, 2019, （SCI）
[17] Jinrong Cui, Qi Zhu, Ding Wang, Zuoyong Li. Learning Robust Latent Representation for Discriminative Regression. Pattern Recognition Letters, 2019, 117: 193--200（SCI）
[18] 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 Journal of Biomedical and Health Informatics, 2019, 23(1): 342--350（SCI）
[19] 张道强, 朱旗, 郝小可, 邵伟, 王明亮, 黄嘉爽, 黄硕. 脑影像智能分析. 中国科学：信息科学
[20] 朱旗, 黄嘉爽, 郝小可, 张道强. 基于脑影像智能分析的阿尔茨海默病辅助诊断. 人工智能学会通讯, 2018年1期
[21] 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, 2018, 6: 78065--78076（SCI）
[22] Qi Zhu, Jiashuang Huang, Xijia Xu. Non-negative discriminative brain functional connectivity for identifying schizophrenia on resting-state fMRI. Biomedical Engineering Online, 2018, 17(1): 32--32（SCI）
[23] Weiwei Yuan, Donghai Guan, Qi Zhu, Tinghuai Ma. Novel mislabeled training data detection algorithm. Neural Computing and Applications, 2018, 29(10): 673--683（SCI）
[24] Zizhu Fan, Da Zhang, Xin Wang, Qi Zhu, Yuanfang Wang. Virtual dictionary based kernel sparse representation for face recognition. Pattern Recognition, 2018, 76: 1--13（SCI）
[25] Dan Zhang, Qi Zhu, Daoqiang Zhang. Multi-modal dimensionality reduction using effective distance. Neurocomputing, 2017, 259: 130--139（SCI）
[26] 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 Transactions on Computational Biology & Bioinformatics, 2016, 13(2): 392-398（SCI）
[27] Qi Zhu, Zheng Zhang, Ningzhong Liu, Han Sun. Near infrared hand vein image acquisition and ROI extraction algorithm. Optik, 2015, 126(24): 5682--5687
[28] Qingxiang Feng, Qi Zhu, Linlin Tang, Jengshyang Pan. Robust coarse-to-fine face recognition method. Optik, 2015, 126(23): 4159--4165（SCI）
[29] Qingxiang Feng, Qi Zhu, Linlin Tang, Jengshyang Pan. L1-norm plus L2-norm sparse parameter for image recognition. Optik, 2015, 126(23): 4078--4082（SCI）
[30] Qi Zhu, Ningzhong Liu, Zheng Zhang, Baisheng Dai. Multi-Sample Sparse Representation for Robust Face Recognition. Journal of Computational and Theoretical Nanoscience, 2015, 12(11): 4166--4178
[31] Yuwu Lu, Zhihui Lai, Zizhu Fan, Jinrong Cui, Qi Zhu. Manifold discriminant regression learning for image classification. Neurocomputing, 2015, 166: 475--486（SCI）
[32] Zheng Zhang, Long Wang, Qi Zhu, Shukai Chen, Yan Chen. Pose-invariant face recognition using facial landmarks and Weber local descriptor. Knowledge Based Systems, 2015, 84: 78--88（SCI）
[33] Zizhu Fan, Ming Ni, Qi Zhu, Ergen Liu. Weighted sparse representation for face recognition. Neurocomputing, 2015, 151(mar.3pt.1): 304-309（SCI）
[34] Zheng Zhang, Long Wang, Qi Zhu, Zhonghua Liu, Yan Chen. Noise modeling and representation based classification methods for face recognition. Neurocomputing, 2015, 148: 420-429（SCI）
[35] Qi Zhu, Daoqiang Zhang, Han Sun, Zhengming Li. Combining L1-norm and L2-norm based sparse representations for face recognition. Optik - International Journal for Light and Electron Optics, 2015, 126(7-8): 719-724（SCI）
[36] Qi Zhu, Jin Rong Cui, Zi Zhu Fan. Matrix Based Feature Measurement and Extraction for Face Recognition. Applied Mechanics & Materials, 2015, 738-739: 643-647 2014（SCI）
[37] Qingxiang Feng, Qi Zhu, Lin-Lin Tang, Jeng-Shyang Pan. Double linear regression classification for face recognition. Journal of Modern Optics （SCI）
[38] Qi Zhu, Han Sun, Qingxiang Feng, Jinghua Wang. CCEDA: building bridge between subspace projection learning and sparse representation-based classification. Electronics Letters, 2014, 50(25): 1919-1921（SCI）
[39] Yuyao Wang, Qi Zhu, Yan Chen, Min Wang. A novel virtual samples-based sparse representation method for face recognition. optik:=Journal for Light-and Electronoptic, 2014（SCI）
[40] 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, 2014, 135(jul.5): 253–261（SCI）
[41] Xuxin Gu, Jinrong Cui, Qi Zhu. Abnormal crowd behavior detection by using the particle entropy. Optik - International Journal for Light and Electron Optics, 2014, 125(14): 3428-3433（SCI）
[42] Chengli Sun, Qi Zhu, Minghua Wan. A novel speech enhancement method based on constrained low-rank and sparse matrix decomposition. Speech Communication, 2014, 60: 44-55
[43] Minna Qiu, Zhengming Li, Yaowu Wang, Qi Zhu. The comparative analysis l2-minimisation based description methods. Optik - International Journal for Light and Electron Optics, 2014, 125(1): 374-379（SCI）
[44] Qi Zhu, Yong Xu, Yuwu Lu, Jiajun Wen, Zhengming Li. Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features. Advances in Intelligent Systems and Computing, 2014, 238: 349-357（SCI）
[45] Yong Xu, Qi Zhu, Yan Chen, Jeng-Shyang Pan. An improvement to the nearest neighbor classifier and face recognition experiments. Int. J. Innov. Comput. Inf. Control（SCI）
[46] Xingjie Zhu, Yong Xu, Huaiyou Chen, Yan Liu, Jiajun Wen, Qi Zhu. Low false reject rate and false accept rate multi-step fire detection method. Optik - International Journal for Light and Electron Optics, 2013, 124(24): 6636-6641（SCI）
[47] Xiaolong Wang, Qi Zhu, Jinrong Cui, Yuewu Wang. Sparse representation method based on Gabor and CLBP. Optik - International Journal for Light and Electron Optics, 2013, 124(22): 5843-5850（SCI）
[48] Zizhu Fan, Jinghua Wang, Qi Zhu, Xiaozhao Fang, Jinrong Cui, Chunhua Li. Local minimum squared error for face and handwritten character recognition. Journal of electronic imaging, 2013, 22(3): 033027.1-033027.9（SCI）
[49] Qi Zhu, Chengli Sun. Image-based face verification and experiments. Neural Computing and Applications, 2013, 23(3-4): 947-956（SCI）
[50] Qi Zhu, Zhengming Li, Jinxing Liu, Zizhu Fan, Lei Yu, Yan Chen. Improved Minimum Squared Error Algorithm with Applications to Face Recognition. PLOS ONE, 2013, 8(8)（SCI）
[51] Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng Shyang Pan. From the idea of \
International Journal of Image and Graphics 编委
中国人工智能学会智慧医疗专业委员会 委员
中国图学学会图学大数据专业委员会 委员
江苏省人工智能学会医学图像处理专业委员会 委员
江苏省人工智能学会青年工作委员会 副主任