赵鸣博教授

赵鸣博，IEEE和CCF高级会员，现在东华大学信息科学与技术学院自动化专业任教授、博导。2013年在香港城市大学获得博士学位，导师周伟诚教授（IEEE Fellow，国际电气与电子工程师协会），后继续在香港城市大学从事博士后研究，2016年加入东华大学信息科学与技术学院，历任教授、博导、数字化纺织服装技术教育部工程研究中心副主任。目前主要从事机器学习、人工智能方面的研究，包括判决学习度量、基于流形学习的图像检索方法研究以及深度学习特征提取等。近五年来，IEEE Trans等国际人工智能主流期刊和会议上发表论文80余篇，著书章节2篇，授权美国发明专利1项，授权国内发明专利5项，主持国家自然科学基金面上项目等科研项目3项，作为骨干参与国家科技重大科技专项1项。到目前为止，Google-scholar引用约为4000次，H-index为32。在国内外具有一定的影响力。

研究方向：

1、  深度学习

2、  人工智能

3、  视觉语言大模型

4、  多媒体信息检索

荣誉及获奖情况：

1、  东华大学励志计划

2、  2023年度中国纺织工业联合会纺织高等教育教学成果奖二等奖（排名第二）

近年来承担的主要科研项目：

1、    基于鲁棒图排序的大规模图像检索方法的研究 (61601112)，国家自然科学基金青年项目，19万，01/2017-12/2019，主持，结题

2、    基于端对端深度特征表达和图网络排序的海量图像检索方法研究 (61971121)，国家自然科学基金面上项目，55万01/2020，12/2023，主持，结题

3、    世界丝绸互动地图关键技术研发和示范(2019YFC1521300)，国家重点研发计划子课题，130万，01/2020-12/2022，作为骨干参与，验收。

近年来发表的代表性论著、专利：

主要文章列表请参阅：

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/

论文

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

专利

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.

主要学术兼职：

1、 IEEE高级会员（2019.8~现在, no. 91255912, Shanghai Section）

2、中国计算机协会（CCF）高级会员（2021.9~现在，no. 67267S）

3、中国计算机学会人工智能与模式识别专委会委员、中国人工智能学会模式识别专委会委员、中国自动化学会成立模式识别与机器智能专委会委员

4、国际自然科学基金面上评审人；中国博士后科学基金面上评审人

5、担任SCI期刊IEEE Trans. on Consumer Electronics副主编（2023.7~）

6、担任SCI模式识别与人工智能国际期刊International Journal of Pattern Recognition and Artificial Intelligence副主编

7、担任SCI期刊Mathematics副主编

8、北大核心期刊、CCF中文期刊B类《计算机工程》青年编委和领域编委 (Topic Editor)

9、Lead Guest Editor（首席特刊编委）for Special Issue of IEEE Trans. on Consumer Electronics: Generative Artificial Intelligence with Applications on Consumer Electronics, 2023

10、Lead Guest Editor（首席特刊编委）for Special Issue of IEEE Trans. on Consumer Electronics: Multimedia Sensing and Computing for Consumer Electronics, 2022

11、Lead Guest Editor（首席特刊编委）for the Special Issue of Neural Computing and Applications: New Trends of Neural Computing for Advanced Applications 2020;

12、国际人工智能大会AAAI 2024/2023/2022高级程序委员会委员(Senior Program Member)

13、国际多媒体领域大会ACM Multimedia 2023/2022/2021领域主席（Area Chair）

国际交流与合作：

IEEE International Symposium on Product Compliance Engineering-Asia, 2023, General Co-Chair

E-MAIL：mzhao4@dhu.edu.cn