朱昌明（联系方式：cmzhu@shmtu.edu.cn）
上海海事大学教授，硕士生导师，糖心vlog副院长。近年来在Pattern Recognition、Knowledge-Based Systems 、Information Sciences、Neurocomputing、Pattern Analysis and Application等知名期刊上发表学术论文100余篇，主持、参加国家级、省部级自然科学基金项目30多项。
研究方向
图像及视频处理、识别及追踪；模式识别；多视角学习；水表、港口、生物、芯片、医疗等方面的识别类应用处理和大数据分析
教育经历
2006-9~2010-6 华东理工大学计算机科学与技术本科
2007-7~2010-6 华东师范大学金融学双学士学位
2010-9~2015-3 华东理工大学计算机应用技术硕博连读
工作经验
1、中国计算机学会YOCSEF 上海通讯委员
2、上海市教育考试院物联网技术及应用科目的命题组成员
3、上海海事大学人工智能专业建设负责人（2020/4-2021-7）
4、糖心vlog计算机科学系硕士生导师，副教授，讲师（2015/3-至今）
5、同济大学电信学院访问学者、博士后
科研成果
发表论文(主要SCI)
(1) Yanhao Zhang, Changming Zhu*; Incomplete multi-view clustering via attention-based contrast learning; International Journal of Machine Learning and Cybernetics,2023.
(2) Changming Zhu, Jiyun Zhao , Shizhe Hu , Yilin Dong , Lei Cao , Fan Zhou , Yuhu Shi , Lai Wei and Rigui Zhou, A simple multiple-fold correlation-based multi-view multi-label learning, Neural Computing and Applications, 2023，35, 10407-10420.
(3) Xinxin Hu, Changming Zhu*，Shared-weight-based Multi-dimensional Feature Alignment Network for Oriented Object Detection in Remote Sensing Imagery，sensors，23(1): 207, 2022.
(4) Lei Cao, Hailiang Wu, Shugeng Chen, Yilin Dong, Changming Zhu, Jie Jia *, Chunjiang Fan*，A Novel Deep Learning Method based on Overlapping Time Window Strategy for Brain Computer Interface-based Stroke Rehabilitation，Brain Sciences， accepted, 20221031
(5) Dujuan Cao *, Changming Zhu, Xinxin Hu, Rigui Zhou，Semantic-Edge-Supervised Single-Stage Detector for Oriented Object Detection in Remote Sensing Imagery，Remote Sensing，2022-7-27 accepted
(6) Changming Zhu*,Shuaiping Guo，Dujuan Cao，Yiting Zhou，Duoqian Miao, Witold Pedrycz, Multi-view multi-label-based online method with threefold correlations and dynamic updating multi-region, Neural Computing and Applications, 2022, 34(8): 6097-6117
(7) Changming Zhu*, Dujuan Cao，Shuaiping Guo，Rigui Zhou，Lai Wei，YiLing Dong，Duoqian Miao，Weak-label-based global and local multi-view multi-label learning with three-way clustering，International Journal of Machine Learning and Cybernetics，2022, 13(5): 1337-1354.
(8) Changming Zhu*, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei, Global and Local Multi-view Multi-label Learning with Incomplete Views and Labels, Neural Computing and Applications, 2020, 32：15007-15028
(9) Changming Zhu*, Chao Chen, Rigui Zhou, Lai Wei, Xiafen Zhang，A New Multi-View Learning Machine with Incomplete Data, Pattern Analysis and Applications,2020， 23：1085-1116.
(10)Changming Zhu, Duoqian Miao*, Rigui Zhou, Lai Wei,Weight-and-Universum based Semi-supervised Multi-view Learning Machine，Soft Computing, 2020,24(14)：10657–10679
(11)Changming Zhu*, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Global and Local Multi-View Multi-Label Learning, Neurocomputing, 2020, 371:67-77
(12)Qinqin Fan ; Xuefeng Yan ; Yilian Zhang ; Changming Zhu, A Variable Search Space Strategy based on Sequential Trust Region Determination Technique, IEEE Transactions on Cybernetics.
(13)Changming Zhu*, Duoqian Miao, Semi-supervised One-pass Multi-view Learning with Variable Features and Views, Neural Processing Letters, 2019,50(1): 189–226.
(14)Changming Zhu*, Chengjiu Mei，Rigui Zhou, Weight-based Label-unknown Multi-view Data Set Generation Approach, Information processing letters, 2019, 146: 1-12.
(15)Changming Zhu, Duoqian Miao*, Entropy-based Multi-View Matrix Completion for Clustering with Side Information, Pattern Analysis and Applications, 2020, 23: 359-370.
(16)Changming Zhu*, Zhe Wang，Rigui Zhou，Lai Wei, Xiafen Zhang, Yi Ding, Semi-Supervised One-Pass Multi-View Learning, Neural Computing and Applications, 2019，31：8117-8134.
(17) Changming Zhu, Rigui Zhou, Chen Zu, Weight-based Canonical Sparse Cross-view Correlation Analysis, Pattern Analysis and Applications, 2019,22(2): 457-476.
(18)Changming Zhu*, Zhe Wang, Entropy-based matrix learning machine for imbalanced data sets, Pattern Recognition Letters, 2017, 88: 72-80.
(19)Changming Zhu*, Double-fold localized multiple matrix learning machine with Universum, Pattern Analysis and Applications, 2017, 20(4): 1091-1118.
(20)Changming Zhu, Zhe Wang*, Daqi Gao*, New Design Goal of a Classifier: Global and Local Structural Risk Minimization, Knowledge-Based Systems, 2016, 100: 25-49.
(21)Changming Zhu, Improved Multi-Kernel Classification Machine with Nyström Approximation Technique and Universum Data, Neurocomputing, 2016, 175(A): 610-634.
(22)Changming Zhu, Zhe Wang*, Daqi Gao*, Xiang Feng, Double-Fold Localized Multiple Matrixized Learning Machine, Information Sciences, 2015, 295: 196-220.
(23) Changming Zhu, Daqi Gao*, Improved Multi-Kernel Classification Machine with Nyström Approximation Technique, Pattern Recognition, 2015, 48(4): 1490-1509.
(24)Changming Zhu*, Daqi Gao*, Multiple Matrix Learning Machine with Five Aspects of Pattern Information, Knowledge-Based Systems, 2015, 83: 13-31.
(25) Changming Zhu, Zhe Wang*, Daqi Gao*, Globalized and Localized Canonical Correlation Analysis with Multiple Empirical Kernel Mapping, Neurocomputing, 2015, 154: 257-275.
(26)Changming Zhu, Daqi Gao*, A Modified Kernel Clustering Method with Multiple Factors, Pattern Analysis and Applications, 2015, 18(4): 871-886.
著作
(1) 朱昌明. Multi-kernel Classification Machine with Universum learning. LAP LAMBERT Academic Publishing. 2017-03-17. ISBN-13: 978-3-659-70793-3. ISBN-10: 3659707937. (基金:16ZR1414500, 61602296)
(2) 朱昌明，操作系统及其算法，上海浦江出版社,2021
(3) 朱昌明. 面向特殊样本形式的多视图学习问题及其解决方法. 科学出版社,2022
专利
(1) 一种多通道集成嗅觉模拟仪器和生物发酵过程在线分析方法，2015年11月11日授权，专利号：ZL201310405315.X。发明人：高大启;王吉;朱昌明
(2) 面向嗅觉模拟仪器的气敏传感器选择、更换与校正方法，2016年2月3日授权，专利号：ZL201310419648.8。发明人：高大启;朱昌明;王吉;丁军;吉久明
(3) 朱昌明; 一种基于局部特征的多视角分类器及设计方法, 2019-6-14授权, 中国, ZL201711237173.5
(4) 马林, 朱昌明, 季翔, 梅成就, 罗军, 基于深度学习与强化学习的视频考勤系统及方法, 202010010894.8，授权，2023-4-7，ZL202010010894.8
(5) Changming Zhu, Local Feature-Based Multi-View Classifier and the Related Designing Method, 授权 2019.11.27授权, 2019/01299，南非
(6) 朱昌明，苗夺谦；基于粒度及关联信息的物体类别识别模型构建方法及应用，2022.6.21 授权，ZL 2020 1 0517984.6
基金项目
主持：
(1) 国家自然科学基金面上项目，62276164，基于自适应关联信息的不完整动态多视图学习算法研究，2023-01-01-2026-12-31，53万元，在研，主持
(2) 上海市2022年度“科技创新行动计划”自然科学基金项目，22ZR1427000，面向动态开放场景的多视图学习算法研究，2022/04-2025/03，20万元，在研，主持
(3) 中国博士后科学基金面上项目，2019M651576，基于特殊样本形式的多视角分类器设计方法研究，2019/05-2020/10，8万元，已结题，主持
(4) 国家自然科学基金青年科学基金项目，61602296，基于局部特征的多视角学习算法若干关键问题的研究，2017/01-2019/12，20万元，已结题，主持
(5) 上海市自然科学基金，16ZR1414500，基于局部特征表示的分类器设计若干问题的研究，2016/07-2019/06，20万元，已结题，主持
(6) 上海市晨光人才计划，18CG54，基于局部特征的多视角分类器设计方法研究，2019/01-2021/12，6万元，已结题，主持
研究生名单
2018级：季翔，梅成就
2019级：马林，王盼红，岳闻，沈震宇，陈健飞，高玉森，张传杰
2020级：郭帅萍，曹杜鹃，张皓阳，刘鸣，刘俊江，范雅雯，王盛楠
2021级：徐云峰，吴琪，康宇佳，胡鑫鑫，田宇，王圣文，赵继云，严熠敏，朱佳威，张彦浩，常坷柔
2022级：杨志远，刘圣辰，刘彦辰，李子实，杨阳，顾文杰，徐佳佳，张梓健，董孝博，曹馨雨