朱昌明，男，1988年3月生，籍貫上海，2008年4月加入中國共產黨，2015年3月參加工作，研究生學歷，工學博士學位，副教授。
現任上海海事大學信息工程學院副院長，人工智慧專業主任，副教授，碩士生導師。
基本介紹
人物經歷,教育背景,工作經歷,社會任職,研究方向,主要成就,主持項目,代表論著,論文,著作,
人物經歷
教育背景
2006-9~2010-6 華東理工大學計算機科學與技術本科
2007-7~2010-6 華東師範大學金融學雙學士學位
2010-9~2015-3 華東理工大學計算機套用技術碩博連讀
工作經歷
上海海事大學科技處處長協理（掛職）（2016/4-2017/3）
上海海事大學兼職輔導員（2017/9-2018/6）
上海海事大學信息工程學院在職工程碩士點負責人（2018/5-2020/6）
同濟大學電信學院訪問學者、博士後
上海海事大學信息工程學院計算機科學系碩士生導師，副教授，講師（2015/3-至今）
上海海事大學人工智慧專業建設負責人（2020/4-至今）
上海海事大學信息工程學院副院長（2021/5-至今）
社會任職
1、中國計算機學會YOCSEF 上海通訊委員
2、上海市教育考試院物聯網技術及套用科目的命題組成員
研究方向
圖像及視頻處理、識別及追蹤；模式識別；多視角學習；水錶、港口、生物、晶片、醫療等方面的識別類套用處理和大數據分析
主要成就
近年來在Pattern Recognition、Knowledge-Based Systems 、Information Sciences、Neurocomputing、Pattern Analysis and Application等知名期刊上發表學術論文70餘篇，主持、參加國家級、省部級自然科學基金項目23項。
主持項目
中國博士後科學基金面上項目，2019M651576，基於特殊樣本形式的多視角分類器設計方法研究，2019/05-2020/10
國家自然科學基金青年科學基金項目，61602296，基於局部特徵的多視角學習算法若干關鍵問題的研究，2017/01-2019/12
上海市自然科學基金，16ZR1414500，基於局部特徵表示的分類器設計若干問題的研究，2016/07-2019/06
上海市晨光人才計畫，18CG54，基於局部特徵的多視角分類器設計方法研究，2019/01-2021/12
代表論著
論文
(1)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
(2)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.
(3)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
(4)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
(5)Qinqin Fan ; Xuefeng Yan ; Yilian Zhang ; Changming Zhu, A Variable Search Space Strategy based on Sequential Trust Region Determination Technique, IEEE Transactions on Cybernetics.
(6)Changming Zhu*, Duoqian Miao, Semi-supervised One-pass Multi-view Learning with Variable Features and Views, Neural Processing Letters, 2019,50(1): 189–226.
(7)Changming Zhu*, Chengjiu Mei，Rigui Zhou, Weight-based Label-unknown Multi-view Data Set Generation Approach, Information processing letters, 2019, 146: 1-12.
(8)Changming Zhu, Duoqian Miao*, Entropy-based Multi-View Matrix Completion for Clustering with Side Information, Pattern Analysis and Applications, 2020, 23: 359-370.
(9)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.
(10)Changming Zhu*, Xiang Ji, Chao Chen，Rigui Zhou，Lai Wei, Xiafen Zhang, Improved linear classifier model with Nyström, Plos One, 2018, 13(11), e0206798.
(11)Changming Zhu, Rigui Zhou, Chen Zu, Weight-based Canonical Sparse Cross-view Correlation Analysis, Pattern Analysis and Applications, 2019,22(2): 457-476.
(12)Changming Zhu*, Zhe Wang, Entropy-based matrix learning machine for imbalanced data sets, Pattern Recognition Letters, 2017, 88: 72-80.
(13)Changming Zhu*, Double-fold localized multiple matrix learning machine with Universum, Pattern Analysis and Applications, 2017, 20(4): 1091-1118.
(14)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.
(15)Changming Zhu, Improved Multi-Kernel Classification Machine with Nyström Approximation Technique and Universum Data, Neurocomputing, 2016, 175Part A: 610-634.
(16)Changming Zhu, Zhe Wang*, Daqi Gao*, Xiang Feng, Double-Fold Localized Multiple Matrixized Learning Machine, Information Sciences, 2015, 295: 196-220.
(17)Changming Zhu, Daqi Gao*, Improved Multi-Kernel Classification Machine with Nyström Approximation Technique, Pattern Recognition, 2015, 48(4): 1490-1509.
(18)Changming Zhu*, Daqi Gao*, Multiple Matrix Learning Machine with Five Aspects of Pattern Information, Knowledge-Based Systems, 2015, 83: 13-31. (SCI, Q1, 3)
(19)Changming Zhu, Zhe Wang*, Daqi Gao*, Globalized and Localized Canonical Correlation Analysis with Multiple Empirical Kernel Mapping, Neurocomputing, 2015, 154: 257-275.
(20)Changming Zhu, Daqi Gao*, A Modified Kernel Clustering Method with Multiple Factors, Pattern Analysis and Applications, 2015, 18(4): 871-886.
(21)Shiwen Cheng, Changming Zhu*, Chen Chu, Tao Huang, Xiangyin Kong, LiuCun Zhu*, Prediction of Bioactive Compound Pathways Using Chemical Interaction and Structural Information, Combinatorial Chemistry & High Throughput Screening, 2016, 19(2):161-169.
(22)Zhe Wang*, Changming Zhu, Zengxin Niu, Daqi Gao*, Xiang Feng, Multi-Kernel Classification Machine with Reduced Complexity, Knowledge-Based Systems, 2014, 65: 83-95.
(23)Zhe Wang*, Changming Zhu, Daqi Gao, Songcan Chen*, Three-Fold Structured Classifier Design based on Matrix Pattern, Pattern Recognition, 2013, 46(6): 1532-1555.
(24)Daqi Gao*, Jun Ding, Changming Zhu, Integrated Fisher linear discriminants: An empirical study, Pattern Recognition, 2014, 47(2): 789-805.
(25)Lei Chen, Chen Chu, Yuhang Zhang, Changming Zhu, Xiangyin Kong, Tao Huang, Yudong Cai, Analysis of Gene Expression Profiles in the Human Brain Stem, Cerebellum and Cerebral Cortex, Plos One, 2016, 11(7), e0159395.
(26)LaiWei, RiguiZhou, JunYin, Changming Zhu, Xiafen Zhang, Hao Liu, Latent graph-regularized inductive robust principal component analysis, Knowledge-Based Systems, 2019, 177: 68-81
(27)Lai Wei*, Xiaofeng Wang, Aihua Wu, Rigui Zhou, Changming Zhu, Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation, Neural Processing Letters, 2018, 48(3): 1671-1691.
(28)Rigui Zhou, XingAo Liu, Changming Zhu, Lai Wei, Xiafen Zhang, Hou Ian, Similarity analysis between quantum images, Quantum Information Processing, 2018, 17(6):121.
(29)Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang, Subspace segmentation via self-regularized latent K-means, Expert Systems with Applications, 2019, 136. 316-326
(30)Ri-Gui Zhou, Jia Luo, XingAo Liu, Changming Zhu, Lai Wei, Xiafen Zhang, A Novel Quantum Image Steganography Scheme Based on LSB, International Journal of Theoretical Physics, 2018, 57(6): 1848-1863.
(31)Ri-Gui Zhou, Yang Zhou, Changming Zhu, Lai Wei, Xiafen Zhang, Hou Ian, Quantum Watermarking Scheme Based on INEQR, International Journal of Theoretical Physics, 2018, 57(4): 1120–1131.
(32)Lai Wei*, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafen Zhang, An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation, Neural Processing Letters, 2018, doi: 10.1007/s11063-018-9901-x.
(33)Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin, Adaptive graph-regularized fixed rank representation for subspace segmentation, Pattern Analysis and Applications, 2020, 23: 443-453.
著作
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)
