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赵鸣博

赵鸣博教授



赵鸣博,198212月出生,研究方向主要为判决学习、半监督直推与归纳学习以及深度特征提取及其应用。目前是IEEECCF会员,并担任多个IEEE Trans.等国际期刊的审稿人。近五年来,发表学术期刊论文32篇,其中一座12篇,国际学术会议论文18篇,书章节1篇,美国专利1项。文章主要发表在Pattern Recognition, Computer Vision and Image Understand, Neural Networks, Information Sciences, IEEE Trans. on Industrial Electronics, IEEE Trans. on Industrial Informatics.更多文章列表请参阅: http://dblp.uni-trier.de/pers/hd/z/Zhao:Ming=Bo


研究方向:

1、基于迹比值的判决学习算法的研究与应用。

2、基于半监督直推和归纳学习解决大规模数据集的方法及研究。

3、深度特征提取及其在大规模图像检索中的应用

荣誉及获奖情况:

1、IEEE Computational Intelligence Society Travel Grant from Developing Country, IJCNN 2013: USD 500 (IJCNN 2013 会议旅费,500美金)

2、IEEE Computational Intelligence Society Students Travel Grant, IJCNN 2012: AUD 1000 (IJCNN 2012 会议旅费 ,1000澳币)

3、Outstanding Student Prize at Department of Electronic Engineering, City University of Hong Kong, 2012 (香港城市大学电子工程系2012年优秀毕业生)

4、Third Prize of 2011 Postgraduate Student Paper Contest, Hong Kong Section of the IEEE: HKD 500 (香港IEEE博士生论文比赛三等奖,500港币)

5、Second Runner-up of Postgraduate Student Research Paper Competition 2012, IEEE (Hong Kong) Computational Intelligence Chapter (香港IEEE CIS博士生论文比赛三等奖)

近年来承担的主要科研项目:

1、国家自然科学基金青年项目 (20万,2017.1-2019.12)

2、东华大学科研启动资金 (10万,2017.1-2018.12)

3、东华大学励志计划 (50万,2017.1-2019.12)

近年来发表的代表性论著、专利:

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.10581073, 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会员

2、期刊审稿人: IEEE Transactions on Industrial Informatics, IEEE Transactions on Cybernetic, IEEE Transactions on Knowledge and Data Engineering, Neurocomputing, Experts Systems with Applications (ESWA), Pattern Recognition (PR)

3、PC member: International Conference on Industrial Informatics (INDIN, 2015); PC member, International Conference on Industrial Informatics (INDIN, 2016).

E-MAILmzhao4@dhu.edu.cn