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智能信息处理与应用  

智能信息处理与应用科研团队

一、团队简介

    智能信息处理与应用科研团队由教授、青年博士5人组成,团队负责人为韩华。团队与New Jersey Institute of Technology有着长期合作关系,且New Jersey Institute of TechnologyMengchu Zhou教授为,IEEE院士、AAAS院士、IFAC院士,2012年被Web of Science/Thomson Reuters列在工程领域高被引作者第1位。近年来,团队成员先后获得国家自然科学基金、上海市自然科学基金、上海市教育委员会和上海市教育发展基金会“晨光计划”等众多项目的资助,团队致力于模式识别、机器视觉、人工智能等领域的研究。

  

二、团队负责人

    韩华,博士,副教授,晨光学者,IEEE会员,曾在New Jersey Institute of Technology从事博士后研究工作。目前主要研究领域包括目标识别与跟踪研究,行人重识别,智能计算等。担任IEEE Internet of Things JournalIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Systems, Man and Cybernetics: SystemsIEEE Transactions on Automation Science and EngineeringIEEE/CAA Journal of Automatica Sinica等多本国内外学术期刊审稿人。目前发表学术论文40余篇,其中SCI/EI检索论文21篇(核心论文被引200余次),其中以第一作者发表IEEE Transactions on Intelligent Transportation Systems(二区)论文2。授权国家发明专利4项,实用新型专利2项,软件著作权3项,出版教材1本。主持参与国家自然科学基金2项,上海市自然科学基金2项,上海市教育委员会和上海市教育发展基金会“晨光计划”1项。

  

三、团队主要成员

1. 赵晓丽

工学博士,副教授,硕士研究生导师。CCFACM会员。曾于2014.9-2015.9在美国加州大学圣巴巴拉分校计算机科学系 four eyes实验室做高级访问学者,导师为计算机视觉方面的专家Matthew Turk近年来参与和主持国家自然科学基金项目2项,上海市教、科委项目5项,横向项目3项,校级项目1项。近5年以第一作者发表学术论文10余篇,其中SCI 区和三区各1篇,国内外重要学术刊物论文7篇。

2. 商习武

毕业于上海大学,加拿大西蒙弗雷泽大学访问学者,现于上海工程技术大学电子信息系从事教学与科研工作。在科研方面,曾参与国家863计划项目、国家自然科学基金项目等研究工作,以第一作者身份发表SCI论文6篇,其中二区论文3篇,申请专利3项。担任IEEE Trans. Signal ProcessingIEEE Trans. Circuits and Systems for Video TechnologySCI期刊审稿人。  

  

四、主要论文及专利成果

[1] Hua Han, Mengchu Zhou, Yujin Zhang, Can Virtual Samples Solve Small-Sample-Size Problem of KISSME in Pedestrian Re-identification of Smart Transportation?, IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2019.2933509, 2019. (Regular Paper )

[2] Xiwu Shang, Haiwu Zhao, Guozhong Wang, Xiaoli Zhao and Yifan Zuo, A Novel Objective Quality Assessment Method for Transcoded Videos From H.264/AVC to H.265/HEVC Utilizing Probability Theory, IEEE Transactions on Broadcasting, DOI: 10.1109/TBC.2019. 2932286, 2019.

[3] Hua Han, Mengchu Zhou, Xiwu Shang, Wei Cao, KISS+ for Rapid and Accurate Pedestrian Re-identification, IEEE Transactions on Intelligent Transportation Systems, Accepted, 2019. (Regular Paper)

[4] Xiwu Shang, Jie Liang, Guozhong Wang, Haiwu Zhao, Chengjia Wu, Chang Lin, Color-Sensitivity-based Combined PSNR for Objective Video Quality Assessment, IEEE Transaction on Circuits and Systems for Video Technology, no. 5, pp. 1239-1250, 2019.

[5] Xiwu Shang, Guozhong Wang, Xiaoli Zhao, Yifan Zuo, Jie Liang, Ivan V. Bajic, Weighting Quantization Matrices for HEVC/H.265-coded RGB Videos, IEEE Access, vol. 7, pp. 36019-36032, 2019.

[6]Xiaoli Zhao*, Jenq-Neng Hwang, Zhijun Fang, Guozhong Wang. Gradient-based adaptive particle swarm optimizer with improved extremal optimization. Applied Intelligence48(12): 4646-46592018. (SCI , JCR Q2, WOS: 000450446800008)

[7] Wei Cao, Hua Han*, Xiankun Sun, Zhijun Fang, Target Re-identification based on Adaptive Incremental KISS measure learning, Memetic Computing, Vol. 9, No. 1, pp: 23-30, 2017(1 March). (SCI, WOS: 000394345000004)

[8] Xiaoli Zhao*, Matthew Turk, Wei Li, Kuo-chin Lien, Guozhong Wang. A multilevel image thresholding segmentation algorithm based on 2D K-L divergence and modified particle swarm optimization. Applied Soft Computing6, 48: 151-159, 2016. (SCI 二区,JCR Q1WOS000389549400012)

[9] Hua Han, Yongsheng Ding, Kuangrong Hao, and Liangjian Hu. Particle Filter for State Estimation of Jump Markov Nonlinear System with Application to Multi-Targets Tracking. International Journal of Systems Science, vol. 44, no.7, pp: 1333-1343, July 1, 2013. (SCI, WOS: 000318351900014)

[10] Hua Han, Yong-sheng Ding, Kuangrong Hao and Xiao Liang, An evolutionary particle filter with immune genetic algorithm for intelligent video target tracking. Computers & Mathematics with Applications, vol. 62, no.7, pp: 2685-2695, Oct, 2011. (SCI二区, WOS:000296075500002,引用59

  

四、团队活动  

1. 邀请国内外专家进行学术交流和科研指导

团队与New Jersey Institute of TechnologyMengchu Zhou教授定期开展学术交流活动,Zhou教授在高水平论文写作,国家自然科学基金申报等方面给予团队成员深入的指导。团队负责人与Zhou教授在互派教师及研究生进行访问交流方面达成了长期的协作计划。

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