南京航空航天大学计算机学院，教授。本硕博均毕业于哈尔滨工业大学，师出于徐勇教授（长江学者特聘教授），获教育部博士生学术新人奖。研究方向：人工智能、医学影像智能分析、人工智能安全。已发表学术论文100余篇，SCI期刊论文70余篇。其中IEEE Trans、中科院1区、CCF A/B类论文近40篇。包括IEEE TMI、IEEE TIFS、IEEE TAFFC、IEEE TIP、IEEE TSMC、IEEE TCDS、IEEE TETCI、IEEE TBD、IEEE TNSRE、IEEE TCBB、Nature Communications、MICCAI等本领域权威期刊和会议。谷歌学术被引1800余次，单篇被引超过100次的论文2篇。获省部级自然科学奖二等奖1项，深圳市自然科学奖1项，南航校科学技术奖二等奖和教学成果奖二等奖各1项，ICGEC国际会议最佳论文奖。申请发明专利10余项，授权6项(含1项美国专利)。获评教育部-华为智能基座栋梁之师，华为云与计算先锋教师，潍柴动力科技创新奖教金。中国计算机学会高级会员, 国际期刊International Journal of Image and Graphics编委，国际期刊Diagnostics guest editor。担任中国计算机学会人工智能与模式识别专委会执行委员，中国人工智能学会智慧医疗专委会委员，中国图学学会图学大数据专委会委员，中国图象图形学学会脑图谱专委会委员。江苏省人工智能学会青工委副主任，第五届医学图像计算青年研讨会MICS2018执行主席，PRMVIA 2024模式识别建模及应用workshop主席。

       主持国家自然科学基金(3项)，江苏省自然科学基金、国家重大科技专项子课题、华为AI算子与模型开发等项目10余项；参与国家自然科学基金重点项目、国家重点研发计划、国家科技重大专项，国防科技创新特区等多个课题。研究经费充足。研究成果被应用于华为国产AI框架、多家三甲医院。

       指导学生获得亚洲人工智能技术大会最佳学生论文奖、江苏省计算机学会优硕学位论文2人次，南航优秀硕士论文3人次。

       毕业生去向：航天九院(北京)、中金期货、阿里、海康威视、联想、满邦、南京银行、中国银行等，以及香港城市大学、中科院计算所继续深造。

       招收博士生，有志做高质量研究的同学可联系邮箱：zhuqi@nuaa.edu.cn

近年来代表性论文：

[1] Qi Zhu, Chuhang Zheng, Zheng Zhang, Wei Shao, Daoqiang Zhang, Dynamic Confidence-Aware Multi-Modal Emotion Recognition, IEEE Transactions on Affective Computing, 2023, DOI: 10.1109/TAFFC.2023.3340924   影响因子>10

[2] Qi Zhu, Ruting Xu, Ran Wang, Xijia Xu, Zhiqiang Zhang, Daoqiang Zhang, Stacked Topological Preserving Dynamic Brain Networks Representation and Classification, IEEE Transactions on Medical Imaging, 2022, 41(11), 3473-3484   中科院1区 影响因子>10

[3] Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang, Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis, IEEE Transactions on Medical Imaging, 2024, DOI: 10.1109/TMI.2023.3342047  影响因子>10

[4] Qi Zhu, Heyang Wang, Bingliang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang, Multi-Modal Triplet Attention Network for Brain Disease Diagnosis, IEEE Transactions on Medical Imaging, 2022, 41(12), 3884-3894   中科院1区 影响因子>10

[5] Yuwu Lu, Qi Zhu, Bob Zhang, Zhihui Lai, Xuelong Li. Weighted Correlation Embedding Learning for Domain Adaptation, IEEE Transactions on Image Processing, 2022, 31: 5303-5316   CCF-A  中科院1区  影响因子>10

[6]  Ruting Xu, Qi Zhu*, Shengrong Li, Zhenghua Hou，Wei Shao, Daoqiang Zhang, MSTGC: Multi-Channel Spatio-Temporal Graph Convolution Network for Multi-Modal Brain Networks Fusion, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, DOI: 10.1109/TNSRE.2023.3275608   中科院1区

[7] 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 Transactions on Medical Imaging，2023, 42(5), 1472 - 1483   中科院1区  影响因子>10

[8] 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 Transactions on Medical Imaging, 2023, DOI: 10.1109/TMI.2023.3274652   中科院1区 影响因子>10

[9] Qi Zhu, Yuze Zhou, Lunke Fei, Daoqiang Zhang, and David Zhang, Multi-Spectral Palmprints joint Attack and Defense with Adversarial Examples Learning,  IEEE Transactions on Information Forensics and Security, 2023, 18, 1789 - 1799   CCF-A 中科院1区

[10] Qiming Yang, Qi Zhu*, Mingming Wang, Wei Shao *, Zheng Zhang, Daoqiang Zhang, Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis, IEEE Transactions on Big Data, 2023, DOI: 10.1109/TBDATA.2023.3264109   

[11] 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 Transactions on Information Forensics and Security, 2023, 18, 4944 – 4954  CCF-A  中科院1区

[12] 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 Transactions on Medical Imaging, 2024, DOI: 10.1109/TMI.2024.3362852 中科院1区 影响因子>10 

[13] Yao Wang, Lunke Fei, Shuping Zhao, Qi Zhu, Jie Wen, Wei Jia, Imad Rida, Dense Hybrid Attention Network for Palmprint Image Super-Resolution, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, DOI: 10.1109/TSMC.2023.3344607 中科院1区

[14] 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 Transactions on Big Data, 2023, DOI: 10.1109/TBDATA.2023.3294000  

[15] 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 Transactions on Medical Imaging, 2023, DOI: 10.1109/TMI.2023.3262024   中科院1区 影响因子>10 

[16] Qi Zhu, Jing Yang, Shuihua Wang, Daoqiang Zhang, Zheng Zhang, Multi-Modal Non-Euclidean Brain Network Analysis with Community Detection and Convolutional Autoencoder, IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(2), 436 - 446   

[17] 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  中科院1区

[18] 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 Transactions on Emerging Topics in Computational Intelligence, 2023, 7 (3), 887 – 899  

[19] Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang, A Cognitive Driven Ordinal Preservation for Multi-Modal Imbalanced Brain Disease Diagnosis, IEEE Transactions on Cognitive and Developmental Systems, 2022, DOI: 10.1109/TCDS.2022.3175360

[20] 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 Recognition, 133, 2023  中科院1区

[21] 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, 2020, 539, 522-535   中科院1区

[22] Jianpeng Sheng, Juan Du, Junlei Zhang, Lin Wang, Xun Wang, Yaxing Zhao, Jiaoying Lu, Tingmin Fan, Meng Niu, Jie Zhang, Fei Cheng, Jun Li, Qi Zhu, Daoqiang Zhang, Hao Pei, Jing Zhang, He Huang, Xiaocang Cao, Xinjuan Liu, and Wei Shao, Selective oxidative protection leads to tissue topological changes orchestrated by macrophage during ulcerative colitis, Nature Communications,  14, 2023: 3675 中科院1区 影响因子>10

[23] 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, 2022, 582: 316-333   中科院1区

[24] Jing Yang, Qi Zhu*, Rui Zhang, Jiashuang Huang, Daoqiang Zhang, Unified Brain Network with Functional and Structural Data, MICCAI 2020    医学图像顶会

[25] 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, 2022: 222-231   医学图像顶会

[26] Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang. Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis, MICCAI 2022: 186-195   医学图像顶会

[27] Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang, Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis, MICCAI 2023  医学图像顶会

[28] 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  2023   医学图像顶会

[29] Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu *, Prior-driven Dynamic Brain Networks for Multi-Modal Emotion Recognition, MICCAI  2023,  医学图像顶会

[30] 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 Transactions on Medical Imaging, 2024, DOI: 10.1109/TMI.2024.3363014 中科院1区 影响因子>10

[31] Haizhou Ye, Qi Zhu*, Yuan Yao, Yichao Jin, Daoqiang Zhang, Pairwise feature-based generative adversarial network for incomplete multi-modal alzheimer’s disease diagnosis, Asian Conference on Artificial Intelligence Technology (ACAIT) 2021 (最佳学生论文奖)

获奖情况：

[1] 省部级自然科学奖二等奖 (3/3), 2018

[2] 2021亚洲人工智能技术大会最佳学生论文奖，指导教师

[3] 2022年度江苏省计算机学会优硕学位论文，指导教师

[4] 2020年度江苏省计算机学会优硕学位论文，指导教师

[5] 模式识别中的模式描述方法设计, 深圳市自然科学奖 (4/5), 2012

[6] 2022年度南航校科技成果奖，第二完成人

[7] MICS2022学生短视频成果三等奖，指导教师

[8] 南航计算机学院人才培养贡献奖

[8] 2019南航校优秀本科毕业论文二等奖，指导教师

[9] 2019南航校优秀硕士毕业论文，指导教师

[10] 2020南航校优秀硕士毕业论文，指导教师

[11] 2021南航校优秀硕士毕业论文，指导教师

[12] 教育部“博士研究生学术新人奖”，2012