计算机与信息工程学院

曾志强

 

个人简介:    

男,博士, 教授,硕士生导师,主要研究方向为机器学习与人工智能。先后主持或参与国家自然科学基金、福建省自然科学基金,厦门市科技局高校创新项目,厦门市重点产学研等多个项目。在IEEE Transactions on Industrial Informatics, Journal of Visual Communication and Image Representation, Neurocomputing , 软件学报,电子学报,计算机研究与发展等权威期刊和学术会议上以第一作者发表20余篇学术论文,其中SCI/EI检索20篇,申请发明专利3项(授权2项)、授权软件著作权4项。  

电子邮箱:zqzeng@xmut.edu.cn

     

学习经历:    

2004/03 - 2007/09,浙江大学,计算机科学与技术学院,博士

2001/09 - 2004/03,西安交通大学,电信学院,硕士

1990/09 - 1994/06,四川大学,计算机及自动控制系,本科

     

学术成就:    

近年来承担的主要科研项目:    

1、福建省自然科学基金项目,2016J01324,大规模数据中的microRNA深度挖掘方法研究,2016/04-2019/034万元,在研,主持。  

2、国家自然科学基金面上项目,61273280,基于n阶引力场理论的数据分类,2013/01-2016/1283万元,已结题,参与。  

3、福建省自然科学基金重点项目,2011H0032,基于Kinect的实时三维重建系统,2011/10-2014/0930万元、已结题,参与。  

4、福建省青年人才项目,2008F3108,面向公共安防的基于内容的智能视频监控系统,2008/06-2011/054万元,已结题,主持。  

近年来发表的代表性学术论著:    

[1] Zhiqiang Zeng, Zhihui Li, De Cheng, Huaxiang Zhang, Kun Zhan, Yi Yang, Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification, IEEE Transactions on Industrial Informatics, 2017, PP(99), DOI: 10.1109/TII.2017.2767557 (SCI源刊, 已在线发表, JCR一区).

[2] Zhiqiang Zeng, Xiaodong Wang, and Yuming Chen, Multimedia annotation via semi-supervised shared-subspace feature selection, Journal of Visual Communication and Image Representation, 2017, 48: 386~395 (SCI).

[3] Zhiqiang Zeng, Xiaodong Wang, Jiang Zhang, and Qun Wu, Semi-supervised feature selection based on local discriminative information, Neurocomputing, 2016, 173:102~109 (SCI).

[4] Zhiqiang Zeng, Hua Shi, Yun Wu, and Quan Zou, Annotation-retrieval reinforcement by visual cognition modeling on manifold, Neurocomputing, 2016, 215: 150~159 (SCI).

[5] Zhiqiang Zeng, Hua Shi, Yun Wu, and Zhiling Hong, Survey of Natural Language Processing Techniques in Bioinformatics, Computational and Mathematical Methods in Medicine, 2016, 215(C):150~159 (SCI).

[6] Zhiqiang Zeng, Hua Shi, Approaches for Cancer Diagnosis Based on Microarray Data, Journal of Computational and Theoretical Nanoscience, 2015, 12(9): 2566~2573 (SCI).

[7] Xiaojun Chang, Zhigang Ma, Yi. Yang, Zhiqiang Zeng, and Alexander G  Hauptmann, Bi-Level Semantic Representation Analysis for Multimedia Event Detection, IEEE Transactions on Cybernetics, 2017, 47(5):1180~1197 (SCI).

[8] Xiaodong Wang, Zhang Xu, Zhiqiang Zeng, Qun Wu, Jian Zhang, Unsupervised spectral feature selection with l1-norm graph, Neurocomputing, 2016, 200(C):47~54 (SCI).

[9] Xiaodong Wang, Rungching Chen, Yan Fei, Zhiqiang Zeng, Semi-supervised Feature Selection with Exploiting Shared Information Among Multiple Tasks, Journal of Visual Communication and Image Representation, 2016, 41:272~280 (SCI).

[10] Xiaodong Wang, Rungching Chen, Chaoqun Hong, Zhiqiang Zeng, Zhili Zhou, Semi-supervised Multi-label Feature Selection via Label Correlation Analysis with l1 -norm Graph Embedding, Image and Vision Computing, 2017,63:10~23 (SCI).

[11] Xiaodong Wang, Rungching Chen, Fei Yan, Zhiqiang Zeng, Chaoqun Hong, Semi-supervised adaptive feature analysis and its application for multimedia understanding, Multimedia Tools and Applications, 2018,77(3): 3083~3104 (SCI).

[12]  Xiaodong Wang, Rungching Chen, Chaoqun Hong, Zhiqiang Zeng, Unsupervised feature analysis with sparse adaptive learning, Pattern Recognition Letters, 2018,102: 89~94 (SCI).

[13] Yumin Chen, Zhiqiang Zeng, Qingxin Zhu, Chaohui Tang, Three-way decision reduction in neighborhood systems, Applied Soft Computing, 2016, 38: 942~954 (SCI).

[14] Yumin Chen, Zhiqiang Zeng, Junwen Lu, Neighborhood rough set reducts with fish swarm algorithm, Soft Computing, 2016, 1: 1~12 (SCI).

[15] Yumin Chen, Qingxin Zhu, Keshou Wu, Shunzhi Zhu, Zhiqiang Zeng, A binary granule representation for uncertainty measures in rough set theory, Journal of Intelligent & Fuzzy Systems, 2015, 28: 867~878 (SCI).

[16] Huarong Xu, Xiaodong Wang, Zhiqiang Zeng, Qiu Fang, Data Classification from the inverse nth power gravitation, Science China, 2012, 55(1):184~190 (SCI).

[17] Chaoqun Hong, Zhiqiang Zeng, Rongsheng Xie, Weiwei Zhuang, Xiaodong Wang, Domain adaptation with low-rank alignment for weakly supervised hand pose recovery, Signal Processing, 2018, 142:223~230 (SCI).

     

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