趙鳴博教授
趙鳴博，IEEE和CCF高級會員，現在東華大學信息科學與技術學院自動化專業任教授、博導。2013年在香港城市大學獲得博士學位，導師周偉誠教授（IEEE Fellow，國際電氣與電子工程師協會），后繼續在香港城市大學從事博士后研究，2016年加入東華大學信息科學與技術學院，歷任教授、博導、數字化紡織服裝技術教育部工程研究中心副主任。目前主要從事機器學習、人工智能方面的研究，包括判決學習度量、基于流形學習的圖像檢索方法研究以及深度學習特征提取等。近五年來，IEEE Trans等國際人工智能主流期刊和會議上發表論文80余篇，著書章節2篇，授權美國發明專利1項，授權國內發明專利5項，主持國家自然科學基金面上項目等科研項目3項，作為骨干參與國家科技重大科技專項1項。到目前為止，Google-scholar引用約為4000次，H-index為32。在國內外具有一定的影響力。
研究方向：
1、 深度學習
2、 人工智能
3、 視覺語言大模型
4、 多媒體信息檢索
榮譽及獲獎情況：
1、 東華大學勵志計劃
2、 2023年度中國紡織工業聯合會紡織高等教育教學成果獎二等獎（排名第二）
近年來承擔的主要科研項目：
1、 基于魯棒圖排序的大規模圖像檢索方法的研究 (61601112)，國家自然科學基金青年項目，19萬，01/2017-12/2019，主持，結題
2、 基于端對端深度特征表達和圖網絡排序的海量圖像檢索方法研究 (61971121)，國家自然科學基金面上項目，55萬01/2020，12/2023，主持，結題
3、 世界絲綢互動地圖關鍵技術研發和示范(2019YFC1521300)，國家重點研發計劃子課題，130萬，01/2020-12/2022，作為骨干參與，驗收。
近年來發表的代表性論著、專利：
主要文章列表請參閱：
1、 DBLP: http://dblp.uni-trier.de/pers/hd/z/Zhao:Ming=Bo
2、 Google Scholar: https://scholar.google.com/citations?user=3X2iuacAAAAJ
3、 Publons: https://publons.com/researcher/3577804/mingbo-zhao/
論文
1、Mingbo Zhao, Tommy W. S. Chow, Peng Tang, Route selection for cabling considering cost minimization and earthquake survivability via a semi-supervised probabilistic model. IEEE Trans on Industrial Informatics, accepted and to be appeared
2、Peng Tang, Mingbo Zhao (Corr. Author), Tommy W. S. Chow, Locality alignment discriminant analysis for visualizing regional English, Neural Processing Letters, vol. 43, no. 1, pp. 295-307, 2016 (Impact factor: 1.448)
3、Wenlong Cheng, Tommy W. S. Chow, Mingbo Zhao (Corr. Author), Locality constrained-$l_p$ sparse subspace clustering for image clustering, neurocomputing, vol. 205, pp.22-31, 2016
4、Zhao Zhang, Fanzhang Li, Mingbo Zhao, Joint low-rank and sparse principal feature coding for enhanced robust representation and visual classification, IEEE Trans. on Image Processing, vol. 25, no. 6, pp. 2429-2443, 2016
5、Mingbo Zhao, Tommy W. S. Chow, Zhao Zhang, Zhou Wu, Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction. Information Sciences, vol. 324, no. 10, pp. 286-309, 2015
6、Mingbo Zhao, Tommy W. S. Chow, Zhao Zhang, Bing Li, Automatic image annotation via compact graph based semi-supervised learning. Knowledge Based Systems, vol. 76, pp. 148-165, 2015
7、Mingbo Zhao, Bing Li, Zhou Wu, Choujun Zhan, Image classification via least squares semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension. Neurocomputing, vol. 153, pp. 96-107, 2015
8、Mingbo Zhao, Zhou Wu, Choujun Zhan, Peng Tang, Semi-supervised image classification based on local and global regression. IEEE Signal Processing Letters, vol. 22, no. 10, pp. 1666-1670, 2015
9、Zhang Zhao, Mingbo Zhao, Tommy W. S. Chow, Graph based constrained semi-supervised learning framework via propagation over adaptive neighborhood. IEEE Trans. on Knowledge and Data Engineering, vol. 27, no. 9, pp. 2362-2376, 2015
10、Zhang Zhao, Shuicheng Yan, Mingbo Zhao, Fanzhang Li, Bilinear low-rank coding framework and extension for robust image recovery and feature representation. Knowledge based System, vol. 86, pp. 143-157, 2015
11、Mingbo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li, Soft Label based Linear Discriminant Analysis for Image Recognition and Retrieval, Computer Vision and Image Understanding, vol. 121, pp. 86-99, 2014a
12、Mingbo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li, A General Soft Label based Linear Discriminant Analysis for Semi-supervised Dimension Reduction, Neural Networks, vol. 55, pp. 83-97, 2014b
13、Mingbo Zhao, Rosa, H. M. Chan, Tommy W. S. Chow and Peng Tang, Compact Graph based Semi-supervised Learning for Medical Diagnosis in Alzheimer’s Disease, IEEE Signal Processing Letters, vol. 21, no. 10, pp. 1192-1196, 2014
14、Mingbo Zhao, Xiaohang Jin, Zhao Zhang, Bing Li, Fault Diagnosis of Rolling Element Bearings via Discriminative Subspace Learning: Visualization and Classification, Expert System with Applications, vol. 7, no. 1, pp. 3391-3401, 2014a
15、Xiaohang Jin, Mingbo Zhao, Tommy W. S. Chow, Motor Bearing Fault Diagnosis using Trace Ratio Linear Discriminant Analysis. IEEE Trans. on Industrial Electronics, vol. 61, no. 5, pp. 2441-2451, 2014b
16、Zhao Zhang,Mingbo Zhao, Bing Li, Peng Tang, and Fan-Zhang Li.Simple Yet Effective Color Principal and Discriminant Feature Extraction for Representing and Recognizing Color Images. Neurocomputing,vol.149, pp.1058–1073, 2015
17、Peng Tang, Mingbo Zhao (Corr. Author), Tommy W. S. Chow, Text Style Analysis Using Trace Ratio Criterion Patch Alignment Embedding, Neurocomputing, vol. 136, pp. 201-212, 2014
18、Zhao Zhang, Shuicheng Yan, Mingbo Zhao (Corr. Author), Similarity Preserving Low-Rank Representation for Enhanced Data Representation and Effective Subspace Learning. Neural Networks, vol. 52, pp. 81-94, 2014
19、Mingbo Zhao, Rosa H. M. Chan, Peng Tang, Tommy W. S. Chow and Savio W. H. Wong, Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia, IEEE Signal Processing Letters, vol. 20, no. 5, pp. 431-434, 2013
20、Zhang Zhao, Mingbo Zhao, Tommy W. S. Chow, Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification. IEEE Trans. on Knowledge and Data Engineering, vol. 25, no. 10, pp. 2192-2205, 2013
21、Mingbo Zhao, Zhao Zhang, Tommy W. S. Chow, Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction. Pattern Recognition, vol. 45, no. 4, pp. 1482-1499, 2012
22、Mingbo Zhao, Tommy W. S. Chow, Zhao Zhang, Random Walk based Fuzzy Linear Discriminant Analysis for Dimensionality Reduction, Soft Computing, vol. 16, no. 8, pp. 1393-1409, 2012
23、Zhao Zhang, Mingbo Zhao, Tommy W. S. Chow, Constrained large margin local projection algorithms and extensions for multimodal dimensionality reduction. Pattern Recognition, vol. 45, no. 12, pp. 4466-4493, 2012a
24、Zhao Zhang, Mingbo Zhao, Tommy W. S. Chow, Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition, Neural Networks, vol. 36, no. 12, pp. 97-111, 2012b
專利
1、Tommy W. S. Chow, Mingbo Zhao, Determining faulty nodes via label propagation within a wireless sensor network, no. US 14/184.916, Aug. 2015.
主要學術兼職：
1、 IEEE高級會員（2019.8~現在, no. 91255912, Shanghai Section）
2、中國計算機協會（CCF）高級會員（2021.9~現在，no. 67267S）
3、中國計算機學會人工智能與模式識別專委會委員、中國人工智能學會模式識別專委會委員、中國自動化學會成立模式識別與機器智能專委會委員
4、國際自然科學基金面上評審人；中國博士后科學基金面上評審人
5、擔任SCI期刊IEEE Trans. on Consumer Electronics副主編（2023.7~）
6、擔任SCI模式識別與人工智能國際期刊International Journal of Pattern Recognition and Artificial Intelligence副主編
7、擔任SCI期刊Mathematics副主編
8、北大核心期刊、CCF中文期刊B類《計算機工程》青年編委和領域編委 (Topic Editor)
9、Lead Guest Editor（首席特刊編委）for Special Issue of IEEE Trans. on Consumer Electronics: Generative Artificial Intelligence with Applications on Consumer Electronics, 2023
10、Lead Guest Editor（首席特刊編委）for Special Issue of IEEE Trans. on Consumer Electronics: Multimedia Sensing and Computing for Consumer Electronics, 2022
11、Lead Guest Editor（首席特刊編委）for the Special Issue of Neural Computing and Applications: New Trends of Neural Computing for Advanced Applications 2020;
12、國際人工智能大會AAAI 2024/2023/2022高級程序委員會委員(Senior Program Member)
13、國際多媒體領域大會ACM Multimedia 2023/2022/2021領域主席（Area Chair）
國際交流與合作：
IEEE International Symposium on Product Compliance Engineering-Asia, 2023, General Co-Chair
E-MAIL：mzhao4@dhu.edu.cn
