张俭嘉
个人信息：
姓名：张俭嘉
职称：副教授，博士生导师
电子邮箱：zhangjj225@mail.sysu.edu.cn
联系地址：深圳市光明区公常路66号中山大学医学园2-601
研究方向
医学图像分析，计算机辅助诊断，计算机视觉，机器学习
团队成员招募
诚挚邀请对我的研究方向感兴趣的博士生、硕士生、本科生共组团队，一起探索。目前尚有今年博士和硕士研究生招生名额，欢迎联系！
工作经历
2021.01 至今 中山大学，生物医学工程学院 “百人计划”副教授
2018.12-2020.12 悉尼科技大学，计算机科学学院 讲师
2016.08-2018.11 澳大利亚联邦科学与工业研究院，数据科学研究所 博士后
2010.06-2011.12 上海联影医疗科技有限公司 软件工程师
教育背景
2012.08-2016.07 澳大利亚伍伦贡大学
专业: 计算机科学 研究方向: 计算机视觉,机器学习，医学图像分析
学位: 博士
2009.09-2012.06 东南大学 法国雷恩第一大学 (双硕士学位)
专业: 生物医学工程 专业: 电子与通讯工程
学位: 硕士 学位: 硕士
2005.09-2009.06 东南大学
专业: 生物医学工程
学位: 本科
主持研究项目
l国家自然科学基金面上项目, 2025.01-2028.12
l国家自然科学基金青年项目, 2022.01-2024.12
l广东省自然科学基金面上项目, 2023.01-2025.12
l广东省自然科学基金面上项目, 2022.01-2024.12
l深圳市医学研究专项资金项目(原创探索), 2025.01-2027.12
l浙江大学脑机智能全国重点实验室开放课题，2024.11-2025.10
l南京航空航天大学脑机智能技术教育部重点实验室开放课题, 2024.01-2025.12
l中央高校基本科研业务费项目, 2024-01至2024-12
l深圳市自然科学基金面上项目, 2024.11-2027.11
l深圳市自然科学基金面上项目, 2022.10-2025.10
lData Analytics for Sewer Rising Main Failures, Sydney Water, AUD 200K, 2020.01-2020.11
lSignal Aspect Transition Detection, Sydney Trains, AUD 300K, 2020.01-2020.11
lSmart Infrastructure Data Analytics for Train Timetable Evaluation, Sydney Trains, AUD 400K, 2019.01-2020.01
lIntelligent Concrete Sewer Optimization, Sydney Water, AUD 200K, 2016.08-2018.12
获奖经历
l澳大利亚尤里卡数据科学杰出贡献奖 (Eureka Prize for Excellence in Data Science，澳大利亚国家级科学界最高荣誉之一)
获奖方式：作为团队核心成员获奖
获奖原因：表彰团队开创性的将数据科学应用在市政，金融等领域，有效降低企业运营成本，减少意外风险，提高智能化水平和服务质量
l新南威尔士州研究创新奖
颁发机构：澳大利亚水协会
获奖方式：作为团队核心成员获奖
获奖原因：表彰团队将数据科学创新应用于自来水生产、供应网络和污水处理网络，有效降低自来水公司的运营成本和风险，提高服务质量
l学生参会资助奖
颁发机构：ICCV 2015
l三分钟论文演讲冠军
颁发机构：澳大利亚伍伦贡大学计算机学院
l创新实践奖
颁发机构：东南大学
文章发表
论著章节：
1.Zhang Jianjia., Wang Y., Zu C., Yu B., Wang L., Zhou L. (2021) Medical Imaging Based Diagnosis Through Machine Learning and Data Analysis. In: Pham T.D., Yan H., Ashraf M.W., Sjöberg F. (eds) Advances in Artificial Intelligence, Computation, and Data Science. Computational Biology, vol 31. Springer, Cham. ISBN: 978-3-030-69950-5. https://doi.org/10.1007/978-3-030-69951-2_8
2.Zhang Jianjia, Li B., Fan X., Wang Y., Chen F. (2022) Sewer Corrosion Prediction for Sewer Network Sustainability. In: Chen F., Zhou J. (eds) Humanity Driven AI. Springer, Cham. ISBN: 978-3-030-72187-9. https://doi.org/10.1007/978-3-030-72188-6_9
期刊文章
1.Jianjia Zhang†, Zirong Li†, Jiayi Pan†, Shaoyu Wang, Weiwen Wu. Trustworthy Limited Data CT Reconstruction Using Progressive Artifact Image Learning. IEEE Transactions on Image Processing (IEEE TIP), 2025, https://ieeexplore.ieee.org/abstract/document/10869311
2.Qixiang Zhang, Yuxiang Yang, Chen Zu, Jianjia Zhang, Xi Wu, Jiliu Zhou, Yan Wang. Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-Supervised Medical Image Classification. IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2025, https://ieeexplore.ieee.org/abstract/document/10842503
3.Jianjia Zhang, Xiaotong Wu, Xiang Tang, Luping Zhou, Lei Wang, Weiwen Wu, Dinggang Shen. Asynchronous Functional Brain Network Construction with Spatiotemporal Transformer for MCI Classification. IEEE Transactions on Medical Imaging (IEEE TMI), 2025, https://ieeexplore.ieee.org/abstract/document/10735105
4.Xiaotong Wu, Chenxin Xie, Fangxiao Cheng, Zhuoshuo Li, Ruizhuo Li, Duan Xu, Hosung Kim, Jianjia Zhang*, Hongsheng Liu*, Mengting Liu*. Comparative Evaluation of Interpretation Methods in Surface-based Age Prediction for Neonates. NeuroImage, 2024, https://doi.org/10.1016/j.neuroimage.2024.120861
5.Xinyu Liang, Yunan Guo, Hanyue Zhang, Xiaotong Wang, Danian Li, Yujie Liu, Jianjia Zhang*, Luping Zhou*, Shijun Qiu*. Neuroimaging Signatures and A Deep Learning Modeling for Early Diagnosing and Predicting Non-pharmacological Therapy Success for Subclinical Depression Comorbid Sleep Disorders in College students. International Journal of Clinical and Health Psychology (IJCHP), 2024, https://doi.org/10.1016/j.ijchp.2024.100526
6.Jiajing Zhang, Wenqing Zhang, Haodong Liu, Yingying Liu, Ningning Chen, Jianjia Zhang, Changhong Wang*. Automatic Centroid Angle Measurement from CT Image for Preoperative Rod Design of Robotic-assisted Screw-rod System Implantation. IEEE Transactions on Medical Robotics and Bionics (IEEE TMRB), 2024, https://ieeexplore.ieee.org/abstract/document/10684287
7.Jianjia Zhang†, Yunan Guo†, Luping Zhou, Lei Wang, Weiwen Wu, Dinggang Shen*. Constructing Hierarchical Attentive Functional Brain Networks for Early AD Diagnosis. Medical Image Analysis (MedIA), 2024, https://doi.org/10.1016/j.media.2024.103137
8.Jianjia Zhang†, Haiyang Mao†, Dingyue Chang, Hengyong Yu, Weiwen Wu, Dinggang Shen*. Adaptive and Iterative Learning with Multi-perspective Regularizations for Metal Artifact Reduction. IEEE Transactions on Medical Imaging, (IEEE TMI), 2024, https://ieeexplore.ieee.org/abstract/document/10510476
9.Zirong Li, Kang An, Hengyong Yu, Fulin Luo, Jiayi Pan, Shaoyu Wang, Jianjia Zhang, Weiwen Wu, Dingyue Chang. Spectrum Learning for Super-resolution Tomographic Reconstruction. Physics in Medicine & Biology (PMB), 2024, https://iopscience.iop.org/article/10.1088/1361-6560/ad2a94/meta
10.Yanyang Wang, Zirong Li, Weifei Wu*, Jianjia Zhang*, Weiwen Wu*. Self-fusion Simplex Noise-based Diffusion Model for Self-supervised Low-dose Digital Radiography Denoising. IEEE Transactions on Instrumentation and Measurement (IEEE TIM), 2024, https://ieeexplore.ieee.org/abstract/document/10466592
11.Weiwen Wu*, Jiayi Pan, Yanyang Wang, Shaoyu Wang*, Jianjia Zhang*. Multi-channel Optimization Generative Model for Stable Ultra-sparse-view CT Reconstruction. IEEE Transactions on Medical Imaging (IEEE TMI), 2024, https://ieeexplore.ieee.org/abstract/document/10466738
12.Jianjia Zhang, Haiyang Mao, Xinran Wang, Yuan Guo, Weiwen Wu. Wavelet-Inspired Multi-channel Score-based Model for Limited-angle CT Reconstruction. IEEE Transactions on Medical Imaging (IEEE TMI), 2024, https://ieeexplore.ieee.org/document/10439231
13.Weiwen Wu, Yifei Long, Zhifan Gao, Guang Yang, Fangxiao Cheng*, Jianjia Zhang*. Multi-level Noise Sampling from Single Image for Low-dose Tomography Reconstruction. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024, https://ieeexplore.ieee.org/abstract/document/10750162
14.Qiankun Ma, Jie Zeng, Jianjia Zhang, Chen Zu, Xi Wu, Jiliu Zhou, Jie Chen, Yan Wang. Source-free Domain Adaptation Via Dynamic Pseudo Labeling and Self-supervision. Pattern Recognition (PR), 2024, https://doi.org/10.1016/j.patcog.2024.110793
15.Yujie Yang, Lin Hu, Chen Zu, Jianjia Zhang, Yun Hou, Ying Chen, Jiliu Zhou, Luping Zhou, Yan Wang. CL-TransFER: Collaborative Learning Based Transformer for Facial Expression Recognition with Masked Reconstruction. Pattern Recognition (PR), 2024, https://doi.org/10.1016/j.patcog.2024.110741
16.Zirong Li, Yanyang Wang, Jianjia Zhang, Weiwen Wu, Hengyong Yu. Two-and-a-half order score-based model for solving 3D ill-posed inverse problems. Computers in Biology and Medicine (CBM), 2024, https://doi.org/10.1016/j.compbiomed.2023.107819
17.Xiaocai Zhang, Hui Peng, Tao Tang, Yuansheng Liu, Yang Wang, Jianjia Zhang. Knowledge-based Dual External Attention Network for peptide detectability prediction. Knowledge-Based Systems (KBS), 2024, https://doi.org/10.1016/j.knosys.2024.111378
18.Xiaocai Zhang, Zhe Xiao, Xiuju Fu, Xiaoyang Wei, Tao Liu, Ran Yan, Zheng Qin, Jianjia Zhang. A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data. Expert Systems with Applications (ESA), 2024, https://doi.org/10.1016/j.eswa.2023.122191
19.Weiwen Wu†, Jianjia Zhang†, Shaoyu Wang* and Jun Chen*. Flat-Panel Addressable Cold-Cathode X-Ray Source-Based Stationary CT Architecture. IEEE Transactions on Instrumentation and Measurement (IEEE TIM), 2023, https://ieeexplore.ieee.org/abstract/document/10113296
20.Weiwen Wu, Yanyang Wang, Qiegen Liu, Ge Wang* and Jianjia Zhang*. Wavelet-improved Score-based Generative Model for Medical Imaging. IEEE Transactions on Medical Imaging (IEEE TMI), 2023, https://ieeexplore.ieee.org/abstract/document/10288274
21.Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu, Weiwen Wu. Kernel-based Feature Aggregation Framework in Point Cloud Networks, Pattern Recognition (PR), 2023, https://doi.org/10.1016/j.patcog.2023.109439
22.Jianjia Zhang, Luping Zhou, Lei Wang, Mengting Liu, Dinggang Shen*. Diffusion Kernel Attention Network for Brain Disorder Classification. IEEE Transactions on Medical Imaging (IEEE TMI), 2022, https://ieeexplore.ieee.org/abstract/document/9763540/
23.Xiaocai Zhang, Hui Peng*, Jianjia Zhang*, Yang Wang. A Cost-sensitive Attention Temporal Convolutional Network Based on Adaptive Top-K Differential Evolution for Imbalanced Time-Series Classification, Expert Systems With Applications (ESA), 2022, https://doi.org/10.1016/j.eswa.2022.119073
24.Weiwen Wu; Hengyong Yu; Fenglin Liu; Jianjia Zhang*; Varut Vardhanabhuti*, Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization, Computers in Biology and Medicine (CBM), 2022, https://doi.org/10.1016/j.compbiomed.2022.106080
25.Zhang, Z., Wang, L., Wang, Y., Zhou, L., Zhang, Jianjia, & Chen, F., Dataset-driven Unsupervised Object Discovery for Region-based Instance Image Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022, https://ieeexplore.ieee.org/document/9674775
26.Jianjia Zhang, L. Wang, L. Zhou and W. Li, Beyond Covariance: SICE and Kernel based Visual Feature Representation, International Journal of Computer Vision (IJCV), 2021. https://link.springer.com/article/10.1007/s11263-020-01376-1
27.Jianjia Zhang, L. Zhou, L. Wang, Subject-adaptive Integration of Multiple SICE Brain Networks of Different Sparsity, Pattern Recognition (PR), 2017, https://doi.org/10.1016/j.patcog.2016.09.024
28.Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li. Learning Discriminative Stein Kernel for SPD Matrices and Its Applications. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2016, https://ieeexplore.ieee.org/abstract/document/7127045
29.Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li. Functional Brain Network Classification with Compact Representation of SICE Matrices. IEEE Transactions on Biomedical Engineering (IEEE TBME), 2015, https://ieeexplore.ieee.org/abstract/document/7031385
30.Zhimin Gao, Lei Wang, Luping Zhou, Jianjia Zhang. HEp-2 Cell Image Classification with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2016, https://ieeexplore.ieee.org/abstract/document/7400923
会议文章
1.Yifan Li†, Xiaotong Wu†, Xiaocai Zhang, Haiteng Jiang, Weiwen Wu, Dinggang Shen, Jianjia Zhang*. Task-aligned fMRI Generation Model for Brain Disorder Diagnosis. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.
2.Yeli Wu, Xiaocai Zhang, Weiwen Wu, Haiteng Jiang, Chao An* and Jianjia Zhang*. Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.
3.D. Chen, Jianjia Zhang, W. Zheng, R. Wang, FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging, Association for the Advancement of Artificial Intelligence (AAAI), 2024, https://doi.org/10.1609/aaai.v38i2.27862
4.Y. Long, J. Pan, Y. Xi, Jianjia Zhang*, W. Wu*, Full Image-Index Remainder Based Single Low-Dose DR/CT Self-supervised Denoising, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023, https://doi.org/10.1007/978-3-031-43990-2_44
5.H. Mao, Y. Wang, H. Yu, W. Wu*, Jianjia Zhang*, Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023, https://doi.org/10.1007/978-3-031-43999-5_8
6.X. Tang, X. Zhang, M. Liu, Jianjia Zhang*, Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023, https://doi.org/10.1007/978-3-031-43993-3_21
7.Y. Zhang, S. Lu, L. Luo, Jianjia Zhang, etc., Correlation-aware Next Basket Recommendation using Graph Attention Networks, International Conference on Neural Information Processing (ICONIP), 2020, https://doi.org/10.1007/978-3-030-63820-7_85
8.Jianjia Zhang, Y. Wang, etc., Operational Sewer Data Analysis Toolkit, OzWater, Australia, 2019.
9.Z. Zhang, L. Wang, Y. Wang L. Zhou, Jianjia Zhang and F. Chen, Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics, ACM International Conference on Multimedia Retrieval (ICMR), 2018, https://doi.org/10.1145/3206025.3206069
10.Jianjia Zhang, B. Li, X. Fan, Y. Wang and F. Chen, Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study, The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018, https://doi.org/10.1007/978-3-319-93034-3_18
11.S. Dang, X. Cai, Y. Wang, Jianjia Zhang and F. Chen, Unsupervised Matrix-valued Kernel Learning for One Class Classification, ACM International Conference on Information and Knowledge Management (CIKM), 2017, https://doi.org/10.1145/3132847.3133114
12.B. Li, X. Fan, Jianjia Zhang, Y. Wang, Predictive Analytic Toolkit For H2S Estimation and Sewer Corrosion, OzWater, Australia, 2017, http://hdl.handle.net/10453/117887
13.L. Zhou, L. Wang, Jianjia Zhang, Y. Shi and Y. Gao, Revisiting Distance Metric Learning for SPD Matrix based Visual Representation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, 2017, https://ieeexplore.ieee.org/document/8100235
14.Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li. Beyond covariance: Feature representation with nonlinear kernel matrices. IEEE International Conference on Computer Vision (ICCV). Santiago, Chile, 2015, https://ieeexplore.ieee.org/document/7410876
15.Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li. A Fast Approximate AIB Algorithm for Distributional Word Clustering. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oregon, USA, 2013, https://ieeexplore.ieee.org/document/6618922
16.Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li. Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification. MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), Boston, USA, 2014, https://doi.org/10.1007/978-3-319-10581-9_8
17.Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li. Accelerating the Divisive Information-Theoretic Clustering of Visual Words. International Conference on Digital Image Computing Techniques and Applications (DICTA), Tasmania, Australia, 2013, https://ieeexplore.ieee.org/document/6691476
18.Zhimin Gao, Jianjia Zhang, Luping Zhou, Lei Wang. HEp-2 Cell Image Classification with Convolutional Neural Networks. Contest & Workshop on Pattern Recognition Techniques for Indirect Immunouorescence Images Analysis, held together with ICPR, Sweden, 2014, https://ieeexplore.ieee.org/document/6973542
社会服务
国际学术会议组织者：
1.Local Chair of the 2022 Asian Conference on Computer Vision (ACCV-2022), Macau, 12-04~12-08, Dec. 2022.
国际学术会议报告：
1.OSDAT: Operational Sewer Data Analysis Toolkit, Ozwater'19, 澳洲水工业会议, 墨尔本, 澳大利亚, 2019.05
2.Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study, 第22届亚太知识发现与数据挖掘会议, 墨尔本, 澳大利亚, 2018.06
3.Unsupervised Matrix-valued Kernel Learning for One Class Classification, 第26届国际计算机学会信息与知识管理会议, 新加坡, 2017.11
4.Data-driven solutions for Water Utilities, Ozwater'17, 澳洲水工业会议, 澳大利亚, 2017.05
5.Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices, 美国电气电子工程学会国际计算机视觉会议, 圣地亚哥, 智利, 2015.12
6.Combined Category Visual Vocabulary-A New Approach to Visual Vocabulary Construction, 第四届国际图像与信号处理论坛, 上海, 中国, 2011.08
邀请报告：
1.面向神经退行性疾病早期诊断的脑功能网络动态构建和分析, ISICDM2024, 深圳, 中国, 2024
2.基于深度学习的脑功能网络动态构建和分析, BMDMC2024, 广州, 中国, 2024
3.脑影像分析技术前沿, 哈尔滨医科大学, 哈尔滨, 中国, 2024
4.Success of Data Analytics for Water Industry, 东南大学计算机科学与工程学院, 南京, 中国, 2018.12
5.Beyond Covariance Feature Representation, 江苏大学计算机科学与通信工程学院, 镇江, 中国, 2018.03
6.Kernel Representation and Its Applications, 新南威尔士大学计算机科学与工程学院, 澳大利亚, 2017.12
7.Success of Data Analytics for Water Industry, 悉尼水公司, 悉尼, 澳大利亚, 2017.07
8.Advanced Methods for Covariance Representations in Computer Vision, 东南大学计算机科学与工程学院, 南京, 中国, 2017.01
9.Alzheimer‘s Disease Diagnosis By Using Brain Network Analysis, 伍伦贡大学工程与信息科学系, 伍伦贡, 澳大利亚, 2015.06
国际期刊审稿人：
1.IEEE Transactions on Pattern Analysis and Machine Intelligence
2.IEEE Transactions on Neural Networks and Learning Systems
3.IEEE Transactions on Medical Imaging
4.IEEE Transactions on Multimedia
5.IEEE Transactions on Cybernetics
6.IEEE Transactions on Biomedical Engineering
7.IEEE Journal of Biomedical and Health Informatics
8.Medical Image Analysis
9.Pattern Recognition
10.Pattern Recognition Letters
11.Neuroinformatics
12.Concurrency and Computation: Practice and Experience
国际会议审稿人：
1.International Joint Conference on Artificial Intelligence (IJCAI)
2.AAAI Conference on Artificial Intelligence (AAAI)
3.IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
4.International Conference on Medical Image Computing And Computer Assisted Intervention (MICCAI)
5.IEEE International Conference on Multimedia and Expo (ICME)
6.International Conference on Pattern Recognition (ICPR)
7.Asian Conference on Computer Vision (ACCV)
8.The International Conference on Digital Image Computing: Techniques and Applications (DICTA)
9.International Workshop on Machine Learning in Medical Imaging (MLMI)
