个人信息姓名：张俭嘉
职称：副教授，硕士生导师
电子邮箱：zhangjj225@mail.sysu.edu.cn
联系地址： 广州市番禺区广州大学城中山大学东校区诚正堂138
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
合作伙伴招募诚挚邀请对以上研究方向感兴趣的您共组团队，一起探索。您可以是希望加入中大的研究人员（包括不限于助理教授，专职（副）研究员，博士后），也可以是硕士研究生，本科生。同时也诚挚期盼和中大或兄弟院校的研究人员建立合作。
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工作经历2020.12 至今 中山大学，生物医学工程学院 “****”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
获奖经历1.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) 2018
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
奖项简介链接
2.新南威尔士州研究创新奖 2018
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
3.学生参会资助奖 2015
颁发机构：ICCV 2015
4.三分钟论文演讲冠军 2015
颁发机构：澳大利亚伍伦贡大学计算机学院
5.创新实践奖 2011
颁发机构：东南大学

文章发表杂志文章
1.Jianjia Zhang, L. Wang, L. Zhou and W. Li, Beyond Covariance: SICE and Kernel based Visual Feature Representation, International Journal of Computer Vision (IJCV), 2020.
2.Jianjia Zhang, L. Zhou, L. Wang, Subject-adaptive Integration of Multiple SICE Brain Networks of Different Sparsity, Pattern Recognition (PR), 2017.
3.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.
4.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.
5.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
会议文章
1.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
2.Jianjia Zhang，Y. Wang, etc., Operational Sewer Data Analysis Toolkit, OzWater, Australia, 2019.
3.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.
4.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.
5.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.
6.B. Li, X. Fan, J. Zhang, Y. Wang, Predictive Analytic Toolkit For H2S Estimation and Sewer Corrosion, OzWater, Australia, 2017.
7.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.
8.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.
9.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
10.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.
11.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.
12.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.
社会服务国际学术会议报告：
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.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
2.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
3.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
4.Success of Data Analytics for Water Industry，悉尼水公司，悉尼，澳大利亚，2017.07
5.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
6.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 Multimedia
2.IEEE Transactions on Cybernetics
3.IEEE Transactions on Biomedical Engineering
4.IEEE Journal of Biomedical and Health Informatics
5.Pattern Recognition
6.Pattern Recognition Letters
7.Neuroinformatics
8.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)