人工智能学院 教授/博导，副院长。入选江苏省高层次人才。2014年博士毕业于哈工大，导师徐勇教授（国家级高层次人才）；毕业后入职南航，博后合作导师张道强教授（国家级高层次人才）。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SCI期刊论文百余篇。其中IEEE Trans、中科院1区、CCF A/B类论文50余篇。包括IEEE TMI、IEEE TIFS、IEEE TAFFC、IEEE TIP、IEEE TSMC、IEEE TCDS、IEEE TBD、IEEE TCBB、IEEE TIM、Nature Communications、IJCAI、CVPR、MICCAI等本领域权威期刊和会议。谷歌学术被引2000余次。获省部级自然科学奖二等奖1项。申请专利20余项，授权10项。获江苏省计算机学会教学新秀奖，苏州市教学成果奖。CCF高级会员, Computational Intelligence (SCI期刊) 编委，IJIG 编委，多个国际期刊的客座编委。被评为IEEE TMI杰出审稿人。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，第二届数字媒体、通信与信息系统国际学术会议主席。主持国家自然科学基金(3项)、GF应用推进课题、国家重大科技专项子课题、江苏省自然科学基金等项目10余项。研究成果被应用于华为国产AI框架、多家三甲医院。

       指导研究生获得了中国国际大学生创新大赛（互联网+）国赛金奖、亚洲人工智能技术大会最佳学生论文奖、PRMVIA最佳论文奖、ICGEC最佳论文奖等荣誉，以及江苏省计算机学会优秀硕士学位论文3人次、南航校优秀毕业论文多人次。研究生毕业生留组、或到香港、985高校继续读博，就业去向为航天院所、海康、阿里、满帮、联想、银行、以及政府部门等。指导本科生发表SCI期刊、ICME会议论文、获发明专利、优秀本科毕业论文等。欢迎具有上进心、有志向做科研的同学、以及博士后加入，邮箱：zhuqi@nuaa.edu.cn

  

近年来，部分期刊论文： 

[1] Ning Yuan, Donghai Guan, Shengrong Li, Li Zhang, Qi Zhu*, Enhancing Neurodegenerative Disease Diagnosis through Confidence-Driven Dynamic Spatio-Temporal Convolutional Network, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025, 33, 1715-1728

[2] Shengrong Li, Qi Zhu*, Liang Sun, Kai Ma, Yixin Ji, Shile Qi, Daoqiang Zhang, Multi-Modal Brain Network Fusion for Intelligent Diagnostic Devices, IEEE Transactions on Consumer Electronics, 2025, DOI: 10.1109/TCE.2025.3563691

[3] Shengrong Li, Qi Zhu*, Donghai Guan, Bo Shen, Li Zhang, Yixin Ji, Shile Qi, Daoqiang Zhang, Long-Interval Spatio-Temporal Graph Convolution for Brain Disease Diagnosis, IEEE Transactions on Instrumentation and Measurement, 2025, 74, 4004511

[4] Qi Zhu, Ting Zhu, Lunke Fei, Chuhang Zheng, Wei Shao, David Zhang, Daoqiang Zhang, Multi-Modal Cross-Subject Emotion Feature Alignment and Recognition with EEG and Eye Movements, IEEE Transactions on Affective Computing, 2025, DOI: 10.1109/TAFFC.2025.3554399

[5] Minxu Liu, Donghai Guan, Chuhang Zheng, and Qi Zhu*, Multi-Modal Discriminative Network for Emotion Recognition across Individuals, IEEE Transactions on Cognitive and Developmental Systems, 2025, DOI: 10.1109/TCDS.2025.3552124

[6] Qi Zhu, Chuhang Zheng, Zheng Zhang, Wei Shao, Daoqiang Zhang, Dynamic Confidence-Aware Multi-Modal Emotion Recognition, IEEE Transactions on Affective Computing, 2024, 15(3), 2024, 1358-1370

[7] 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 

[8] 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     中科院1区 

[9] 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

[10] 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, 43(6), 2381-2394   中科院1区

[11] 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 

[12]  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  

[13] 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 Transactions on Image Processing, DOI: 10.1109/TIP.2024.3431451, 2024     CCF-A 中科院1区

[14] 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  

[15] 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 

[16] 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

[17] 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   

[18] 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

[19] 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 

[20] 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

[21] 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  

[22] 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 

[23] 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   

[24] 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  

[25] 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

[26] Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu*, Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis, NeuroImage, 307, 2025, 121013  

[27] 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

[28] Lunke Fei, Zhihao He, Wai Keung Wong, Qi Zhu, Shuping Zhao, Jie Wen, Semantic decomposition and enhancement hashing for deep cross-modal retrieval, Pattern Recognition, 160, 2025, 111225  中科院1区

[29] 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

[30] 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    

[31] 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 

[32] 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    

 

• 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